Apify vs ScrapingBee
usage-based · credits · subscription-flat · free-tier · marketplace-rev-share
·subscription-flat · credits · free-tier
Apify wins · 26–24 (44 drawn)
Agenticness — how well agents can access and operate the productAgenticness
How well agents can access and operate the product
Agent access
ai-native userPoint an agent at llms.txt or agent-oriented docs
weight 2 · round to ApifyA direct probe confirms llms.txt is live at docs.apify.com/llms.txt returning HTTP 200 with structured agent-oriented documentation content, and the docs also expose an OpenAPI spec and dedicated MCP integration docs for agent discovery. Missing for 10: independent third-party confirmation that agents successfully consume/parse the llms.txt in practice.
- [probe] “PROBE llms.txt: HTTP 200 at https://docs.apify.com/llms.txt # Apify Documentation > Apify is the largest marketplace of tools for AI. Thous…”
- [probe] “PROBE openapi: HTTP 200 at https://docs.apify.com/api/openapi.json — contains "openapi" key”
- [probe] “official MCP server documented at https://docs.apify.com/platform/integrations/mcp”
- [claimed-docs] “Discover and use Actors with AI agents and LLMs via Apify MCP server.”
ScrapingBee has a confirmed live llms.txt at the documented URL (HTTP 200) serving an index of its documentation, directly satisfying the story of pointing an agent at agent-oriented docs; it also has an official MCP server further supporting agentic access. Missing for 10: a per-page markdown/docs.md mirror (probe shows 404) and an OpenAPI spec discoverable at standard paths, which would round out machine-readable doc coverage.
- [probe] “PROBE llms.txt: HTTP 200 at https://www.scrapingbee.com/llms.txt # ScrapingBee Documentation > Official documentation index for ScrapingBee…”
- [probe] “PROBE docs-md: HTTP 404 at https://www.scrapingbee.com/documentation.md”
- [probe] “official MCP server documented at https://mcp.scrapingbee.com/”
ai-native userRun the product headlessly / in CI for automation
weight 2 · round to ApifyApify provides a CLI for scripting/terminal control (apify-docs-3, apify-probe-4), scheduling for automated runs (apify-docs-6), an OpenAPI-backed REST API (apify-probe-2), and Actors designed as headless automation units runnable via SDKs/CLI, all consistent with CI/headless automation use. missing for 10: explicit CI/CD pipeline integration examples (e.g., GitHub Actions) or independent hands-on confirmation of CI usage.
- [claimed-docs] “Control the Apify platform from terminal or shell scripts.”
- [claimed-docs] “Automatically start Actors and saved tasks at specific times.”
- [probe] “PROBE openapi: HTTP 200 at https://docs.apify.com/api/openapi.json — contains "openapi" key”
- [probe] “official CLI documented at https://docs.apify.com/cli/”
- [claimed-docs] “Develop your own Actor”
ScrapingBee is a pure API service (API key + HTTP calls) designed for programmatic use, and it ships an official CLI (scrapingbee-cli) enabling scripted/headless invocation suitable for CI pipelines. Missing for 10: explicit CI/CD pipeline examples (e.g., GitHub Actions), and no independent hands-on confirmation of CLI use in automation contexts.
- [claimed-docs] “To scrape a web page, you only need two things: Your API key... The encoded web page URL you want to scrape”
- [probe] “official CLI documented at https://github.com/ScrapingBee/scrapingbee-cli”
ai-native userConnect an agent via an official MCP server
weight 3 · round to ApifyApify documents an official MCP server enabling AI agents/LLMs to discover and use Actors, confirmed both in docs and a direct probe of the dedicated MCP integration page. Missing for 10: independent/hands-on third-party corroboration of the MCP server working in practice.
- [claimed-docs] “Discover and use Actors with AI agents and LLMs via Apify MCP server.”
- [probe] “official MCP server documented at https://docs.apify.com/platform/integrations/mcp”
ScrapingBee is a scraping API/service (not itself an agent), so publishing an official MCP server is a valid axis; a probe confirms an official MCP server is documented at mcp.scrapingbee.com. However, there is no first-party documentation detail on the MCP server's tool set, setup, or independent/community corroboration of it working. Missing for 10: detailed official docs on MCP server capabilities/setup, independent hands-on confirmation.
- [probe] “official MCP server documented at https://mcp.scrapingbee.com/”
ai-native userUse an official CLI
weight 2 · round to ApifyApify ships an official CLI (apify-cli) documented at docs.apify.com/cli, explicitly described as a tool to "Control the Apify platform from terminal or shell scripts," covering Actor development, deployment, and automation workflows relevant to AI-native/agentic use. missing for 10: independent hands-on community validation specifically of CLI usage (comments reference SDK/product broadly, not CLI specifics).
- [probe] “official CLI documented at https://docs.apify.com/cli/”
- [claimed-docs] “Control the Apify platform from terminal or shell scripts.”
- [claimed-docs] “Develop your own Actor”
Evidence shows an official CLI repo published by ScrapingBee (scrapingbee-cli on GitHub), directly satisfying the story. However, there's no documentation excerpt describing CLI features, installation, or usage details, nor independent community corroboration of its use. Missing for 10: detailed CLI documentation/usage examples, independent/hands-on validation, and confirmation of active maintenance.
- [probe] “official CLI documented at https://github.com/ScrapingBee/scrapingbee-cli”
ai-native userDrive the product through a documented public API
weight 3 · round to ApifyApify provides a documented public REST API with an OpenAPI spec (verified live at docs.apify.com/api/openapi.json), plus a CLI for scripting the platform and official docs describing programmatic control, giving AI-native users clear, verifiable ways to drive the product via API. Missing for 10: independent third-party corroboration of API robustness/completeness beyond Apify's own docs and probes.
- [probe] “PROBE openapi: HTTP 200 at https://docs.apify.com/api/openapi.json — contains "openapi" key”
- [claimed-docs] “Control the Apify platform from terminal or shell scripts.”
- [probe] “official CLI documented at https://docs.apify.com/cli/”
- [claimed-docs] “Develop your own Actor”
ScrapingBee's entire product is a documented public REST API with extensive parameter documentation (docs-1 to docs-15) and an llms.txt index for AI discoverability (probe-1), plus official CLI and MCP server (probe-4, probe-5) enabling agentic access. Missing for 10: a machine-readable OpenAPI/Swagger spec (probe-2 and probe-3 both 404) and independent hands-on confirmation of API integration ease.
- [claimed-docs] “To scrape a web page, you only need two things: Your API key... The encoded web page URL you want to scrape”
- [claimed-docs] “extract_rules [stringified JSON] ("") Data extraction from CSS selectors”
- [claimed-docs] “ai_query [string] ("") The information you want to extract from the webpage using AI”
- [probe] “PROBE llms.txt: HTTP 200 at https://www.scrapingbee.com/llms.txt # ScrapingBee Documentation > Official documentation index for ScrapingBee…”
- [probe] “official MCP server documented at https://mcp.scrapingbee.com/”
- [probe] “official CLI documented at https://github.com/ScrapingBee/scrapingbee-cli”
- [probe] “PROBE openapi: all candidate paths 404 (https://www.scrapingbee.com/openapi.json, https://www.scrapingbee.com/swagger.json, https://www.scra…”
ai-native userIssue scoped/least-privilege API credentials for an agent
weight 2 · round drawnApifynone0/10No evidence of scoped or least-privilege API token/credential issuance for agents—docs mention permissions management for organizations and MCP integration but nothing about granular/scoped API keys or credential minimization for agent use.
ScrapingBeenone0/10Evidence only shows a single API key model for authentication with no mention of scoped, restricted-permission, or per-agent credential issuance; the community note about using two API keys does not indicate least-privilege scoping. Missing for 10: any documentation of scoped/restricted API keys, role-based permissions, or credential issuance mechanisms for agents.
- [claimed-docs] “To scrape a web page, you only need two things: Your API key... The encoded web page URL you want to scrape”
- [community] “cool idea, but I don't like how I need to use two separate API keys to connect to this API (which relies on ScrapingBee for scraping) - can …”
ai-native userBuild against official SDKs
weight 2 · round to ApifyApify offers official SDKs for JavaScript/Python plus Crawlee, documented developer toolkits, a CLI, an OpenAPI spec, and an MCP server enabling AI agents to build against official interfaces, with community corroboration of SDK adoption. Missing for 10: deeper independent benchmarking of SDK quality/completeness beyond community praise and more explicit versioned SDK reference docs in the pack.
- [claimed-docs] “Software toolkits for developing new Actors.”
- [claimed-docs] “Apify works great with both Python and JavaScript, as well as Playwright, Puppeteer, Selenium, Scrapy, and Crawlee - our own web crawling an…”
- [probe] “PROBE openapi: HTTP 200 at https://docs.apify.com/api/openapi.json — contains "openapi" key”
- [probe] “official MCP server documented at https://docs.apify.com/platform/integrations/mcp”
- [probe] “official CLI documented at https://docs.apify.com/cli/”
- [community] “I'm a huge fan of Apify and look forward to exploring this new SDK. Thanks y'all.”
ScrapingBeenone0/10The evidence pack documents ScrapingBee's REST API parameters, an official CLI, and an MCP server, but contains no mention of official SDKs (e.g., Python, Node.js, PHP client libraries) that AI-native developers could build against. Absence of evidence for this applicable capability warrants a 'none' verdict.
ai-native userSubscribe to events via webhooks
weight 2 · round drawnApifynone0/10The evidence pack never mentions webhooks explicitly; only vague references to alerts and monitoring (apify-docs-7) exist, with no documentation of webhook subscription or event triggers. Missing for 10: any docs on webhook creation, event types, subscription API, or delivery guarantees.
- [claimed-docs] “Check the performance of your Actors, validate data quality, and receive alerts.”
Agentic features
ai-native userGet AI-generated insights and suggestions from my data inside the product
weight 2 · round to ScrapingBeeApifynone0/10Evidence covers Actor development, monitoring/alerts, MCP server for AI agents to use Actors, and CLI/API access — but nothing shows the product itself generating AI insights or suggestions from a user's scraped/collected data. Missing for 10: any feature describing AI-generated summaries, insights, or recommendations derived from data collected in Apify.
ScrapingBee's `ai_query` parameter lets users ask AI to extract specific information from scraped pages, which is a limited AI capability applied to data the product handles, but it's user-directed extraction rather than proactive AI-generated insights or suggestions surfaced inside the product. Missing for 10: evidence of automated insight generation, trend/anomaly detection, or suggestion features beyond on-demand query-based extraction.
- [claimed-docs] “ai_query [string] ("") The information you want to extract from the webpage using AI”
ai-native userSet up automations that run autonomously in the background
weight 2 · round to ApifyApify supports scheduling Actors/tasks to run automatically at specific times, plus monitoring and alerting for background runs, and a CLI/API for orchestration—covering autonomous background automation. Missing for 10: independent hands-on validation of scheduling reliability and no explicit mention of event/webhook-triggered (vs. time-triggered) autonomous runs.
- [claimed-docs] “Automatically start Actors and saved tasks at specific times.”
- [claimed-docs] “Check the performance of your Actors, validate data quality, and receive alerts.”
- [claimed-docs] “Control the Apify platform from terminal or shell scripts.”
- [probe] “official CLI documented at https://docs.apify.com/cli/”
ai-native userDelegate tasks to a built-in AI assistant inside the product
weight 3 · round drawnApifynone0/10Evidence shows Apify exposes an MCP server so external AI agents can call Apify's Actors, but there is no mention of a built-in AI assistant inside the Apify product itself that users can delegate tasks to.
- [claimed-docs] “Discover and use Actors with AI agents and LLMs via Apify MCP server.”
- [probe] “official MCP server documented at https://docs.apify.com/platform/integrations/mcp”
ai-native userOperate the product with natural-language commands
weight 2 · round drawnApify documents an official MCP server enabling AI agents/LLMs to discover and invoke Actors via natural-language-driven agent tooling, which is the core mechanism for natural-language operation, plus an llms.txt for AI discoverability. However, there's no direct evidence of a natural-language interface within Apify's own console/CLI itself (the CLI is a traditional command-line tool, not NL-driven), so operation relies on pairing with an external agent. Missing for 10: first-party natural-language chat/assistant interface in the platform itself, hands-on demonstration of NL commands working end-to-end via MCP, independent corroboration of MCP usability.
- [claimed-docs] “Discover and use Actors with AI agents and LLMs via Apify MCP server.”
- [probe] “PROBE llms.txt: HTTP 200 at https://docs.apify.com/llms.txt # Apify Documentation > Apify is the largest marketplace of tools for AI. Thous…”
- [probe] “official MCP server documented at https://docs.apify.com/platform/integrations/mcp”
- [probe] “official CLI documented at https://docs.apify.com/cli/”
ScrapingBee's `ai_query` parameter lets users specify what to extract from a page using natural language, and there is a documented official MCP server (mcp.scrapingbee.com) that would let AI agents invoke ScrapingBee via natural-language tool calls. However, the core product interface remains a structured REST API with many typed parameters, not a natural-language command interface itself. Missing for 10: evidence of a chat/NL interface for configuring scrapes beyond ai_query, and independent confirmation the MCP server supports full natural-language operation.
- [claimed-docs] “ai_query [string] ("") The information you want to extract from the webpage using AI”
- [probe] “official MCP server documented at https://mcp.scrapingbee.com/”
ai-native userApply a preset configuration tuned for research agents that returns structured, citable output
weight 2 · round to ScrapingBeeApifynone0/10No evidence of a preset configuration tuned for research agents that yields structured, citable output; Apify's evidence covers general Actor development, MCP server access, CLI, and marketplace but nothing about a research-agent-specific preset or citation-formatted output.
ScrapingBee offers markdown output (return_page_markdown), AI-driven extraction (ai_query), and structured extraction (extract_rules) which can produce citable, structured output usable by research agents, plus an MCP server for agentic integration. However, there is no evidence of a dedicated 'preset configuration tuned for research agents' — no named research-agent mode, no citation metadata, and no documentation bundling these features into a single agent-oriented preset. missing for 10: a documented research-agent preset/mode, citation/source-attribution output, and evidence of agent-specific tuning beyond generic AI extraction params.
- [claimed-docs] “ai_query [string] ("") The information you want to extract from the webpage using AI”
- [claimed-docs] “return_page_markdown [boolean] (false) Return the page content in markdown format”
- [claimed-docs] “extract_rules [stringified JSON] ("") Data extraction from CSS selectors”
- [probe] “official MCP server documented at https://mcp.scrapingbee.com/”
Api quality
ai-native userExplore an interactive API reference with runnable examples
weight 2 · round to ApifyApify publishes an OpenAPI spec (confirmed live at docs.apify.com/api/openapi.json) which underlies an API reference, and general docs exist, but there's no direct evidence of an interactive reference UI with runnable/try-it examples (e.g., a Swagger/Redoc try-it console) being confirmed. Missing for 10: explicit evidence of an interactive 'try it out' console, runnable code snippets in the API reference, or community confirmation of using such a feature.
- [probe] “PROBE openapi: HTTP 200 at https://docs.apify.com/api/openapi.json — contains "openapi" key”
- [claimed-docs] “Develop your own Actor”
- [claimed-docs] “Control the Apify platform from terminal or shell scripts.”
ScrapingBeenone0/10The evidence pack shows only static parameter documentation and no mention of an interactive API reference, live 'try it' console, or runnable code examples; probes even show no OpenAPI/swagger spec and a 404 on a machine-readable docs endpoint, suggesting no interactive explorer exists.
- [claimed-docs] “To scrape a web page, you only need two things: Your API key... The encoded web page URL you want to scrape”
- [probe] “PROBE docs-md: HTTP 404 at https://www.scrapingbee.com/documentation.md”
- [probe] “PROBE openapi: all candidate paths 404 (https://www.scrapingbee.com/openapi.json, https://www.scrapingbee.com/swagger.json, https://www.scra…”
ai-native userDownload a machine-readable API spec (OpenAPI or equivalent)
weight 2 · round to ApifyA probe confirms a valid OpenAPI spec is publicly downloadable at docs.apify.com/api/openapi.json, and this is complemented by official CLI and MCP integration docs enabling machine-driven access. Missing for 10: independent third-party confirmation of spec completeness/versioning beyond the probe.
ScrapingBeenone0/10Direct probes for an OpenAPI/Swagger spec at all standard locations returned 404, and no evidence pack item shows a downloadable machine-readable API spec being offered elsewhere; only an llms.txt index and human-readable docs exist.
ai-native userTest against a sandbox environment without touching production data
weight 1 · round drawnApifynone0/10No evidence pack items mention a sandbox environment, staging mode, or separation from production data for testing Actors; docs cover development, CLI, MCP, scheduling, monitoring but nothing about a sandbox/test environment isolated from production data.
ai-native userRely on versioned APIs with a documented deprecation policy
weight 2 · round drawnApifynone0/10Evidence shows Apify has an OpenAPI spec, docs, CLI, and MCP server, but nothing indicates a documented API versioning scheme or a deprecation policy for breaking changes. Missing for 10: explicit API version numbers/paths, a published deprecation/sunset policy, changelog or migration guidance for breaking changes.
ScrapingBeenone0/10No evidence of API versioning scheme or a documented deprecation policy; OpenAPI spec probes 404 and docs don't mention versioning/deprecation terms at all.
data-engineerThe documented rate limit (requests per second or minute) enforced on my API key before throttling kicks in
weight 3 · round drawnApifynone0/10No evidence pack item documents specific rate-limit numbers (requests per second/minute) for the Apify API; only general docs, CLI, MCP, and community sentiment are present, with no mention of throttling thresholds per API key.
Anti bot — getting past bot defenses — CAPTCHAs, fingerprinting, blocksAnti bot
Getting past bot defenses — CAPTCHAs, fingerprinting, blocks
Block evasion
ai-native userHave an agent automatically get past a CAPTCHA, login, or form wall without my manual intervention
weight 2 · round to ScrapingBeeApifynone0/10Apify's evidence covers proxy rotation to avoid IP-based blocking (apify-docs-8) and general Actor/browser automation tooling, but nothing documents automatic CAPTCHA solving, login handling, or form-wall bypass as a built-in capability. Missing for 10: any explicit CAPTCHA-solving feature, documented login/session automation, or evidence of autonomous form-wall bypass without user intervention.
- [claimed-docs] “Avoid blocking by smartly rotating datacenter and residential IP addresses.”
- [claimed-docs] “Apify works great with both Python and JavaScript, as well as Playwright, Puppeteer, Selenium, Scrapy, and Crawlee - our own web crawling an…”
ScrapingBee provides premium proxies to bypass hard-to-scrape sites and JS 'scenario' scripting to interact with pages (e.g., click/fill forms), which could support login flows, but there is no explicit claim or evidence of automatic CAPTCHA solving or a documented login-automation workflow that removes manual intervention entirely. missing for 10: explicit CAPTCHA-solving mechanism, documented login/form-wall bypass workflow, and independent evidence of successful autonomous bypass.
- [claimed-docs] “If you want to interact with pages you want to scrape before we return your the HTML you can add JavaScript scenario to your API call.”
- [claimed-docs] “premium_proxy [boolean] (false) Use premium proxies to bypass difficult to scrape websites”
- [claimed-docs] “session_id [integer] ("") Route multiple API requests through the same IP address”
data-engineerAutomatically retry through a chain of different proxies when anti-bot detection blocks a request
weight 2 · round drawnApify documents smart proxy rotation across datacenter and residential IPs to avoid blocking, which supports proxy chaining, but there's no explicit evidence of an automated retry mechanism that specifically triggers on anti-bot detection and cycles through proxies as a chain. missing for 10: documented automatic retry logic tied to anti-bot/block detection, evidence of configurable retry chains, independent confirmation of this workflow in practice.
- [claimed-docs] “Avoid blocking by smartly rotating datacenter and residential IP addresses.”
ScrapingBee offers premium_proxy and country_code parameters and an 'auto' mode that picks the cheapest configuration that succeeds, implying some automatic fallback/retry logic, but there's no explicit documentation of a chained multi-proxy retry mechanism specifically triggered by anti-bot detection. missing for 10: explicit documentation of automatic retry chains across multiple proxies upon anti-bot block detection, and independent verification of this retry behavior.
- [claimed-docs] “premium_proxy [boolean] (false) Use premium proxies to bypass difficult to scrape websites”
- [claimed-docs] “country_code [string] ("") Premium proxy geolocation”
- [claimed-docs] “mode [string] ("") Let ScrapingBee pick the cheapest configuration that succeeds. Only value is auto”
developerUse an undetected browser mode to bypass sophisticated bot detection systems
weight 3 · round to ScrapingBeeApifynone0/10Evidence shows IP rotation/proxy features and browser automation library support (Playwright, Puppeteer, Selenium), but no mention of a specific 'undetected browser' mode or stealth fingerprinting/anti-bot-detection bypass capability.
ScrapingBee's docs mention `premium_proxy` explicitly for bypassing 'difficult to scrape websites' and headless browser rendering with JS scenarios, which implies anti-bot capability, but the evidence never uses 'undetected browser' or 'stealth mode' terminology or details specific bot-detection bypass techniques (fingerprint spoofing, TLS/JA3 evasion, etc.). Missing for 10: explicit stealth/undetected-mode documentation, technical detail on fingerprint evasion, and independent verification that it defeats sophisticated bot detection.
- [claimed-docs] “premium_proxy [boolean] (false) Use premium proxies to bypass difficult to scrape websites”
- [claimed-docs] “If you want to interact with pages you want to scrape before we return your the HTML you can add JavaScript scenario to your API call.”
- [claimed-docs] “Our headless browsers will wait for the CSS / Xpath selector passed in the parameter before returning the HTML.”
Proxy rotation
developerRequest a proxy from a specific country to get geolocation-appropriate content
weight 2 · round to ScrapingBeeApify's docs mention proxy rotation to avoid blocking (datacenter and residential IPs) but the evidence pack does not explicitly confirm country-specific/geolocation targeting for proxies. missing for 10: explicit documentation of country-level proxy selection parameters, independent confirmation of geo-targeting accuracy.
- [claimed-docs] “Avoid blocking by smartly rotating datacenter and residential IP addresses.”
ScrapingBee's docs explicitly document a `country_code` parameter for premium proxy geolocation, directly enabling country-specific proxy requests, alongside `premium_proxy` to enable this feature. missing for 10: independent/hands-on confirmation of geolocation accuracy and no list of supported countries in the evidence.
- [claimed-docs] “premium_proxy [boolean] (false) Use premium proxies to bypass difficult to scrape websites”
- [claimed-docs] “country_code [string] ("") Premium proxy geolocation”
developerUse premium residential or datacenter proxies to bypass sites that are hard to scrape
weight 3 · round drawnApify docs explicitly describe smart rotation of datacenter and residential IP addresses to avoid blocking, directly matching the anti-bot proxy use case, and the platform's marketplace/integration docs corroborate a mature proxy infrastructure. missing for 10: no independent hands-on benchmark or third-party report validating residential proxy success rates against specific hard-to-scrape sites.
- [claimed-docs] “Avoid blocking by smartly rotating datacenter and residential IP addresses.”
- [claimed-docs] “Marketplace of 64,279 Actors”
Docs explicitly document `premium_proxy` for bypassing hard-to-scrape sites, plus `country_code` for geolocation and `session_id` for sticky IP sessions, directly matching the story. Missing for 10: explicit distinction/documentation of residential vs datacenter proxy types and independent third-party validation of bypass success rates.
- [claimed-docs] “premium_proxy [boolean] (false) Use premium proxies to bypass difficult to scrape websites”
- [claimed-docs] “country_code [string] ("") Premium proxy geolocation”
- [claimed-docs] “session_id [integer] ("") Route multiple API requests through the same IP address”
developerRoute requests through a rotating pool of proxy IPs to avoid blocks
weight 3 · round drawnApify explicitly documents proxy rotation across datacenter and residential IPs to avoid blocking, directly matching the story. Missing for 10: independent/hands-on corroboration of proxy rotation effectiveness and details on configuration/pricing tiers.
- [claimed-docs] “Avoid blocking by smartly rotating datacenter and residential IP addresses.”
Docs confirm premium/rotating proxy usage (premium_proxy, country_code) to bypass blocks, plus session_id to pin a single IP when needed, indicating an underlying rotating proxy pool by default with control options. Missing for 10: no independent/hands-on evidence confirming rotation effectiveness against real anti-bot defenses, and no explicit documentation describing pool size or rotation algorithm.
- [claimed-docs] “premium_proxy [boolean] (false) Use premium proxies to bypass difficult to scrape websites”
- [claimed-docs] “country_code [string] ("") Premium proxy geolocation”
- [claimed-docs] “session_id [integer] ("") Route multiple API requests through the same IP address”
developerRoute multiple requests through the same proxy IP using a session identifier to maintain a consistent identity
weight 2 · round to ScrapingBeeApifynone0/10The evidence only shows generic proxy IP rotation (apify-docs-8) but contains no mention of session identifiers, sticky sessions, or maintaining a consistent IP across multiple requests, which is the specific capability the story requires.
- [claimed-docs] “Avoid blocking by smartly rotating datacenter and residential IP addresses.”
Official docs explicitly document a `session_id` parameter to route multiple API requests through the same proxy IP, directly matching the story. Missing for 10: independent/hands-on corroboration of session persistence behavior beyond first-party docs.
- [claimed-docs] “session_id [integer] ("") Route multiple API requests through the same IP address”
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
ai-native userPerform bulk operations across many items at once
weight 2 · round to ApifyApify's platform supports running Actors at scale (marketplace of 64k Actors, CLI/API/SDK for scripting, scheduling, proxy rotation), which implies bulk automation across many items/tasks, and the API/OpenAPI + CLI enable programmatic bulk control. However, there's no explicit documentation or example of a bulk-operations API (e.g., batch-running many Actors/items in one call) or dataset-level bulk processing tailored for AI-native usage. missing for 10: explicit bulk/batch API documentation, dataset-scale bulk operation examples, independent verification of bulk performance at scale.
- [claimed-docs] “Control the Apify platform from terminal or shell scripts.”
- [claimed-docs] “Apify works great with both Python and JavaScript, as well as Playwright, Puppeteer, Selenium, Scrapy, and Crawlee - our own web crawling an…”
- [claimed-docs] “Automatically start Actors and saved tasks at specific times.”
- [claimed-docs] “Avoid blocking by smartly rotating datacenter and residential IP addresses.”
- [claimed-docs] “Marketplace of 64,279 Actors”
- [probe] “PROBE openapi: HTTP 200 at https://docs.apify.com/api/openapi.json — contains "openapi" key”
- [probe] “official CLI documented at https://docs.apify.com/cli/”
ai-native userDefine rules that trigger actions automatically on events
weight 3 · round to ApifyApify docs show automatic scheduling of Actors/tasks at specific times and performance alerts, which are limited forms of automated triggers, but the evidence pack lacks explicit documentation of a general event-driven rule/webhook system that fires actions on arbitrary platform events (e.g., dataset changes, run status) as an AI-native user would define. Missing for 10: explicit webhook/event-trigger API docs, examples of custom event-condition-action rules, and independent confirmation of event-based (not just time-based) automation.
- [claimed-docs] “Automatically start Actors and saved tasks at specific times.”
- [claimed-docs] “Check the performance of your Actors, validate data quality, and receive alerts.”
ai-native userSchedule recurring jobs or workflows
weight 2 · round to ApifyApify's docs explicitly support scheduling Actors and saved tasks to run automatically at specific times (recurring jobs), plus CLI and API access for programmatic control, fitting AI-native automation workflows. missing for 10: independent hands-on confirmation of scheduling reliability and richer detail on cron-like configuration options.
- [claimed-docs] “Automatically start Actors and saved tasks at specific times.”
- [claimed-docs] “Control the Apify platform from terminal or shell scripts.”
- [probe] “official CLI documented at https://docs.apify.com/cli/”
Dev experience — day-to-day developer experience — setup friction, docs, debugging, iteration speedDev experience
Day-to-day developer experience — setup friction, docs, debugging, iteration speed
Collaboration
developerShare scrapers with teammates and manage organizations and role-based permissions
weight 2 · round to ApifyApify's official docs explicitly mention sharing Actors and managing organizations/permissions, directly matching the story, but the evidence pack only has a single doc title with no detail on role granularity or workflow, and no independent/hands-on corroboration of this feature. Missing for 10: detailed documentation of role-based permission levels, screenshots/hands-on walkthrough, and community confirmation that org/permission management works well in practice.
- [claimed-docs] “Share Actors with other people, manage your organizations and permissions.”
Deployment flexibility
developerBuild and deploy custom serverless scraping scripts on the platform without managing my own infrastructure
weight 2 · round to ApifyApify's core value proposition is building 'Actors' (custom scraping scripts) deployed serverlessly on their platform, with docs covering development toolkits, SDKs (JS/Python), CLI for terminal control, scheduling, monitoring, and migration guides for existing projects. Community feedback corroborates real-world usage of the platform for custom scraping projects without infrastructure management. Missing for 10: independent hands-on benchmarks of deployment ease/scaling limits, and more recent community validation beyond older HN threads.
- [claimed-docs] “Develop your own Actor”
- [claimed-docs] “Software toolkits for developing new Actors.”
- [claimed-docs] “Control the Apify platform from terminal or shell scripts.”
- [claimed-docs] “Apify works great with both Python and JavaScript, as well as Playwright, Puppeteer, Selenium, Scrapy, and Crawlee - our own web crawling an…”
- [claimed-docs] “Automatically start Actors and saved tasks at specific times.”
- [claimed-docs] “Learn how to easily move your existing projects to the Apify platform.”
- [probe] “official CLI documented at https://docs.apify.com/cli/”
- [community] “I've used Apifier a lot of times and is the best of all the similar products in the market (or at least the other 4 (?) I've tried).”
- [community] “I'm a huge fan of Apify and look forward to exploring this new SDK. Thanks y'all.”
ScrapingBee is a managed scraping API (no infrastructure to manage) and supports JS 'scenarios' for custom page interaction plus extraction rules, which is a lightweight form of custom scraping logic. However, there is no evidence of a true serverless scripting/deployment platform (e.g., custom code upload, scheduled jobs, or a scripting runtime) — the story's 'build and deploy custom scripts' aspect is only partially matched by parameterized API calls. Missing for 10: evidence of a script/job deployment mechanism, scheduling, or custom code execution beyond JS scenario snippets, and independent developer confirmation of this workflow.
- [claimed-docs] “To scrape a web page, you only need two things: Your API key... The encoded web page URL you want to scrape”
- [claimed-docs] “If you want to interact with pages you want to scrape before we return your the HTML you can add JavaScript scenario to your API call.”
- [claimed-docs] “extract_rules [stringified JSON] ("") Data extraction from CSS selectors”
developerDeploy the scraping service via a Docker container for production use
weight 2 · round drawnApifynone0/10None of the evidence explicitly mentions Docker or containerized deployment for Apify Actors; docs reference generic Actor development, toolkits, CLI, and migration guides but never state Docker-based deployment. Missing for 10: explicit Docker/Dockerfile documentation, container registry or image-based deployment workflow, and any hands-on confirmation of Docker usage for production scraping.
developerSelf-host an open-source version of the scraper instead of relying on a hosted cloud service
weight 2 · round drawnApifynone0/10Apify's evidence shows CLI tooling and local Actor development (apify-docs-3, apify-probe-4), but nothing indicates a fully self-hostable open-source version of the platform as an alternative to the hosted cloud service — Apify's core value proposition remains the managed cloud platform and marketplace. missing for 10: evidence of an open-source self-hosted runtime/platform replacing the cloud service, docs on self-hosting infrastructure, community confirmation of running Apify independently of apify.com.
- [claimed-docs] “Control the Apify platform from terminal or shell scripts.”
- [probe] “official CLI documented at https://docs.apify.com/cli/”
ScrapingBeenone0/10ScrapingBee is a hosted cloud scraping API with no evidence of an open-source, self-hostable version; community comments explicitly ask about open-sourcing the stack, confirming none exists.
- [community] “Any plans on open sourcing any part of your stack instead of relying on paid services like ScrapingBee? What does your SaaS setup look like?”
- [community] “Have you looked at running something locally instead of paying for ScrapingBee? I'm using Laravel and considering Dusk to retrieve page cont…”
Integrations
developerConnect the scraping API to no-code automation platforms like n8n or Zapier through a prebuilt connector
weight 2 · round drawnApifynone0/10No evidence in the pack mentions n8n, Zapier, or any prebuilt no-code automation connector; the docs reference MCP server, CLI, SDKs, and Actor Store but nothing about a no-code platform integration.
Library compatibility
developerBuild scrapers using popular open-source automation libraries like Playwright, Puppeteer, Selenium, or Scrapy
weight 2 · round to ApifyApify explicitly states it works with Playwright, Puppeteer, Selenium, and Scrapy alongside its own Crawlee library, and docs cover Actor development toolkits and migrating existing projects onto the platform. Missing for 10: hands-on independent verification/tutorials specifically showing Selenium or Scrapy actors running end-to-end, and community evidence is thin/tangential on this specific capability.
- [claimed-docs] “Apify works great with both Python and JavaScript, as well as Playwright, Puppeteer, Selenium, Scrapy, and Crawlee - our own web crawling an…”
- [claimed-docs] “Develop your own Actor”
- [claimed-docs] “Software toolkits for developing new Actors.”
- [claimed-docs] “Learn how to easily move your existing projects to the Apify platform.”
ScrapingBeenone0/10The evidence pack describes ScrapingBee's own API parameters (JS scenario, screenshots, extraction rules, proxies) but contains no mention of official integrations, SDKs, or middleware for Playwright, Puppeteer, Selenium, or Scrapy. No documentation, probe, or community evidence shows developers can plug ScrapingBee into these specific open-source automation libraries.
Migration lock in
developerExport my scraped data and job configurations in a portable format to migrate to another provider without lock-in
weight 3 · round drawnApifynone0/10Evidence shows Apify's CLI, API, and docs for migrating projects INTO Apify (apify-docs-11) but nothing about exporting scraped data or job configurations in a portable format to move AWAY from Apify to another provider; Actors/tasks are platform-specific constructs with no documented export-for-migration path.
- [claimed-docs] “Learn how to easily move your existing projects to the Apify platform.”
- [probe] “official CLI documented at https://docs.apify.com/cli/”
- [probe] “PROBE openapi: HTTP 200 at https://docs.apify.com/api/openapi.json — contains "openapi" key”
ScrapingBeenone0/10No evidence of any export/migration tooling for scraped data or job configs in a portable format; the docs cover API parameters and scraping features but nothing about data portability or provider migration. missing for 10: export format documentation, job/config export mechanism, migration guides or tooling, any mention of avoiding vendor lock-in.
Quickstart
developerPublish my custom scraper to a public marketplace and earn revenue when others use it
weight 1 · round to ApifyApify explicitly documents publishing Actors to the public Apify Store for 'regular passive income' and has a marketplace of 64k+ Actors, directly matching the story. Missing for 10: independent third-party confirmation of actual developer earnings/payouts and details on revenue-share terms.
- [claimed-docs] “Publish your Actors on Apify Store and earn regular passive income.”
- [claimed-docs] “Marketplace of 64,279 Actors”
- [claimed-docs] “Share Actors with other people, manage your organizations and permissions.”
developerRun a ready-made scraper from a marketplace instead of building one from scratch
weight 2 · round to ApifyApify Store offers a marketplace of 64,279 ready-made Actors (scrapers) that developers can run directly instead of building from scratch, backed by docs on publishing/sharing Actors and the llms.txt description confirming it as 'the largest marketplace of tools for AI' with 'thousands of ready-made Actors'. Community reviews corroborate real-world usage of pre-built scrapers as a core value proposition. Missing for 10: no hands-on walkthrough evidence of actually running a marketplace Actor end-to-end or independent review specifically praising the marketplace-run experience.
- [claimed-docs] “Publish your Actors on Apify Store and earn regular passive income.”
- [claimed-docs] “Share Actors with other people, manage your organizations and permissions.”
- [claimed-docs] “Marketplace of 64,279 Actors”
- [probe] “PROBE llms.txt: HTTP 200 at https://docs.apify.com/llms.txt # Apify Documentation > Apify is the largest marketplace of tools for AI. Thous…”
- [community] “I've used Apifier a lot of times and is the best of all the similar products in the market (or at least the other 4 (?) I've tried).”
developerStart building immediately using a library of ready-made project templates
weight 1 · round to ApifyApify provides a CLI and 'software toolkits for developing new Actors' plus a large marketplace of 64,279 pre-built Actors, which functionally lets developers start from existing building blocks, but the evidence never explicitly documents a curated 'project template' gallery or scaffolding command with named starter templates. Missing for 10: explicit template gallery/documentation, CLI scaffolding command details (e.g., 'apify create' template list), independent confirmation of ease-of-start experience.
- [claimed-docs] “Software toolkits for developing new Actors.”
- [claimed-docs] “Control the Apify platform from terminal or shell scripts.”
- [claimed-docs] “Marketplace of 64,279 Actors”
- [probe] “official CLI documented at https://docs.apify.com/cli/”
Extraction quality — how faithfully content is extracted — structure, fidelity, edge casesExtraction quality
How faithfully content is extracted — structure, fidelity, edge cases
Ai extraction
developerExtract structured data from a page using natural language instructions instead of writing selectors
weight 3 · round to ScrapingBeeApifynone0/10No evidence of a natural-language-to-extraction feature; Apify's documented capabilities center on Actors, crawlers, CLI, MCP integration and marketplace, not AI-driven selector-free extraction from prompts.
ScrapingBee's ai_query parameter lets developers specify in natural language the information they want extracted from a webpage, avoiding manual CSS/XPath selectors, as an alternative to the selector-based extract_rules feature. missing for 10: independent/hands-on validation of AI extraction accuracy, and details on structured output schema/reliability beyond the docs blurb.
- [claimed-docs] “ai_query [string] ("") The information you want to extract from the webpage using AI”
- [claimed-docs] “extract_rules [stringified JSON] ("") Data extraction from CSS selectors”
developerPass a JSON schema so the API returns structured data matching that schema
weight 2 · round to ScrapingBeeApifynone0/10No evidence pack item describes passing a JSON schema to constrain/validate API output structure for extraction; docs cover Actor development, CLI, MCP server, and general platform features but nothing about schema-guided structured output.
ScrapingBee offers extract_rules (CSS-selector based structured extraction) and ai_query (AI-driven extraction), which let developers get structured data, but there is no evidence of accepting a formal JSON Schema definition that the API validates/conforms output to — extract_rules is a custom stringified JSON of selectors, not a schema spec. missing for 10: explicit JSON Schema input support, schema validation/conformance guarantee, examples of schema-driven structured output.
- [claimed-docs] “extract_rules [stringified JSON] ("") Data extraction from CSS selectors”
- [claimed-docs] “ai_query [string] ("") The information you want to extract from the webpage using AI”
ai-native userHave an LLM read a page and decide what structured fields to pull out without pre-written selectors
weight 2 · round to ScrapingBeeApifynone0/10Evidence shows Apify's marketplace, CLI, MCP server, and Actor platform, but nothing about an LLM-driven extraction mode that reads a page and decides structured fields without pre-written selectors — no AI-extraction Actor or feature is documented.
ScrapingBee has an ai_query parameter that lets an LLM extract requested information from a page without pre-written CSS/XPath selectors, directly matching the story's intent, but this is described only in a single doc line rather than deeply documented with examples of dynamic field discovery. missing for 10: no documentation showing the AI deciding on its own what structured fields/schema to output (vs. a user-specified query), no independent/hands-on evidence of extraction quality or reliability, and no example of full structured JSON field inference without any query guidance.
- [claimed-docs] “ai_query [string] ("") The information you want to extract from the webpage using AI”
- [claimed-docs] “extract_rules [stringified JSON] ("") Data extraction from CSS selectors”
developerPlug in a local or self-hosted LLM as the extraction backend instead of a cloud-only model
weight 2 · round drawnApifynone0/10No evidence that Apify supports plugging in a local or self-hosted LLM as the extraction backend; documentation covers Actors, CLI, MCP server, and marketplace but nothing about swapping in self-hosted/local models for extraction tasks.
ScrapingBeenone0/10ScrapingBee's AI extraction (ai_query) uses its own cloud-based AI backend with no documented option to plug in a local or self-hosted LLM; evidence shows only a fixed AI extraction parameter, not a configurable backend.
- [claimed-docs] “ai_query [string] ("") The information you want to extract from the webpage using AI”
Basic scraping
developerScrape a web page with a single API call and get its raw HTML back
weight 3 · round to ScrapingBeeApify's Actor marketplace and public REST API (openapi.json) mean a developer could run a scraping Actor and retrieve HTML via one API call, but no evidence item explicitly documents a single-call 'get raw HTML' endpoint or a specific ready-made scraper Actor's output format. Missing for 10: explicit docs/example showing an API call that returns raw HTML, and any hands-on confirmation of extraction quality/fidelity for that use case.
- [claimed-docs] “Marketplace of 64,279 Actors”
- [probe] “PROBE openapi: HTTP 200 at https://docs.apify.com/api/openapi.json — contains "openapi" key”
- [probe] “official CLI documented at https://docs.apify.com/cli/”
- [claimed-docs] “Apify works great with both Python and JavaScript, as well as Playwright, Puppeteer, Selenium, Scrapy, and Crawlee - our own web crawling an…”
Docs confirm a single API call with just an API key and target URL returns the page's HTML, with straightforward defaults (docs-1) and no complex setup required. Additional options (JS rendering, wait selectors, markdown/extract_rules) show this basic case is well-supported and flexible, though there's no independent hands-on confirmation of raw HTML fidelity. Missing for 10: independent/community verification of raw HTML output quality.
- [claimed-docs] “To scrape a web page, you only need two things: Your API key... The encoded web page URL you want to scrape”
- [claimed-docs] “If you want to interact with pages you want to scrape before we return your the HTML you can add JavaScript scenario to your API call.”
- [claimed-docs] “Our headless browsers will wait for the CSS / Xpath selector passed in the parameter before returning the HTML.”
Data safety
data-engineerAutomatically detect and filter personally identifiable information out of scraped content before it reaches storage
weight 2 · round drawnApifynone0/10No evidence of any built-in PII detection or filtering capability before data reaches storage; docs cover Actor development, CLI, scheduling, monitoring, proxies, and MCP integration but nothing about PII redaction or compliance filtering.
Document extraction
data-engineerExtract text content from PDFs, Word, Excel, and PowerPoint files without hosting them myself
weight 2 · round drawnApifynone0/10No evidence pack items mention PDF/Word/Excel/PowerPoint text extraction capability or any document-parsing Actor; the pack only covers general Actor development, CLI, MCP, scraping/web crawling tooling.
Multimodal extraction
ai-native userGet automatic captions for images on a page so a text-only model can reason about visual content
weight 2 · round drawnApifynone0/10No evidence of any image captioning, alt-text generation, or vision-to-text capability in Apify's docs or community mentions; the evidence pack covers Actors, scraping, CLI, MCP, and proxying but nothing about generating captions for images to aid text-only model reasoning.
ScrapingBeenone0/10No evidence of an image-captioning or alt-text generation feature; ScrapingBee's AI features (ai_query) extract structured data from page text/HTML, not image captions for visual content, and by default it blocks images entirely. Missing for 10: any documented image captioning/vision-to-text capability, alt-text generation, or multimodal image description output.
- [claimed-docs] “By default, and to speed up requests, ScrapingBee blocks all images and CSS in the scraped page, but to scrape them, use `block_resources=fa…”
- [claimed-docs] “ai_query [string] ("") The information you want to extract from the webpage using AI”
Search integration
developerSearch the web and get full page content from results in a single call instead of just links and snippets
weight 3 · round drawnApifynone0/10The evidence pack shows only generic Apify platform docs (Actors, CLI, MCP server, marketplace) with no mention of a specific search-plus-full-content extraction capability or actor (e.g., a RAG/web-search actor) that returns full page content alongside search results in one call.
ScrapingBeenone0/10Evidence shows ScrapingBee scrapes a given URL (with JS rendering, markdown output, extract_rules, ai_query) but nothing indicates a single API call that performs a web search and returns full page content for each result — the llms.txt probe mentions 'search' only in passing with no supporting detail. Missing for 10: any documented search endpoint, example combining query+results with full page bodies, or independent confirmation of this workflow.
- [claimed-docs] “To scrape a web page, you only need two things: Your API key... The encoded web page URL you want to scrape”
- [probe] “PROBE llms.txt: HTTP 200 at https://www.scrapingbee.com/llms.txt # ScrapingBee Documentation > Official documentation index for ScrapingBee…”
Selector extraction
developerExtract specific fields from a page using CSS or XPath selector rules
weight 3 · round to ScrapingBeeApify's ecosystem integrates with Playwright, Puppeteer, Selenium, Scrapy, and Crawlee (apify-docs-4), all of which support CSS/XPath selector-based extraction, implying the capability exists, but the evidence pack contains no direct documentation of a selector-based extraction feature (e.g., Web Scraper Actor page-function/selector config) or examples showing CSS/XPath rule usage. missing for 10: explicit docs or examples of CSS/XPath selector extraction features, independent confirmation of selector-based scraping workflows.
- [claimed-docs] “Apify works great with both Python and JavaScript, as well as Playwright, Puppeteer, Selenium, Scrapy, and Crawlee - our own web crawling an…”
Docs explicitly document extract_rules for CSS-based field extraction and confirm the headless browser waits on CSS/XPath selectors, directly supporting structured field extraction. missing for 10: no independent/hands-on corroboration of extraction accuracy or XPath-specific examples.
- [claimed-docs] “extract_rules [stringified JSON] ("") Data extraction from CSS selectors”
- [claimed-docs] “Our headless browsers will wait for the CSS / Xpath selector passed in the parameter before returning the HTML.”
Structured data handling
data-engineerExtract data from very large tables using intelligent chunking so it fits within processing limits
weight 1 · round drawnApifynone0/10No evidence pack items address extracting data from large tables or intelligent chunking to fit processing limits; docs cover Actors, scheduling, proxies, MCP, CLI, but nothing about table-size chunking strategies.
ScrapingBeenone0/10ScrapingBee's evidence covers web scraping features (JS rendering, proxies, extraction rules, AI queries) but nothing addresses handling very large tables, chunking data to fit processing/token limits, or pagination strategies for oversized datasets. Missing for 10: any mention of table extraction, chunking mechanism, size-limit handling, or pagination/splitting of large data outputs.
Js rendering — handling JavaScript-heavy pages — rendering, waiting, dynamic contentJs rendering
Handling JavaScript-heavy pages — rendering, waiting, dynamic content
Headless rendering
developerRender JavaScript-heavy single-page applications and get the fully rendered HTML
weight 3 · round to ScrapingBeeApify supports Playwright, Puppeteer, and Crawlee for browser automation, which are standard tools for rendering JS-heavy SPAs and extracting fully rendered HTML, and its Actor marketplace includes ready-made scrapers for this purpose. However, the evidence pack lacks explicit first-party documentation or examples demonstrating headless-browser rendering output or a dedicated 'render HTML' API/endpoint, relying instead on general framework compatibility claims. Missing for 10: explicit docs/tutorial on rendering SPAs and returning full HTML, hands-on/independent verification of rendering fidelity, and a dedicated rendering API example.
- [claimed-docs] “Apify works great with both Python and JavaScript, as well as Playwright, Puppeteer, Selenium, Scrapy, and Crawlee - our own web crawling an…”
- [claimed-docs] “Marketplace of 64,279 Actors”
- [community] “Currently I use phantomjs via selenium hub for a product and would like to migrate to chrome but couldn't [find] much information on how to …”
ScrapingBee's docs explicitly describe headless-browser rendering of JS-heavy SPAs built with React/Angular/Vue/JQuery, with support for waiting on selectors and running JS scenarios before returning fully rendered HTML. This directly matches the story's core capability, though evidence lacks independent hands-on corroboration of rendering fidelity. Missing for 10: independent/hands-on verification of rendered output quality, benchmarks against specific SPA frameworks.
- [claimed-docs] “This can be useful for scraping a Single Page Application built with frameworks such as React.js, Angular.js, JQuery or Vue.”
- [claimed-docs] “If you want to interact with pages you want to scrape before we return your the HTML you can add JavaScript scenario to your API call.”
- [claimed-docs] “Our headless browsers will wait for the CSS / Xpath selector passed in the parameter before returning the HTML.”
- [claimed-docs] “To scrape a web page, you only need two things: Your API key... The encoded web page URL you want to scrape”
developerHave the API wait for a specific selector to appear before returning the rendered page
weight 2 · round to ScrapingBeeApifynone0/10No evidence in the pack mentions waiting for a specific selector before returning rendered page; only generic mentions of Playwright/Puppeteer/Crawlee support are given, without documenting a wait-for-selector API parameter or option.
ScrapingBee's docs explicitly state headless browsers wait for a CSS/XPath selector before returning HTML, directly matching the story. Missing for 10: independent/hands-on confirmation of this specific wait-for-selector behavior beyond vendor docs, and example code showing the parameter in use.
- [claimed-docs] “Our headless browsers will wait for the CSS / Xpath selector passed in the parameter before returning the HTML.”
- [claimed-docs] “If you want to interact with pages you want to scrape before we return your the HTML you can add JavaScript scenario to your API call.”
Interactive automation
developerAccess a managed remote browser sandbox for interactive, manual browsing workflows
weight 2 · round drawnApifynone0/10Apify's evidence covers Actors, SDKs, CLI, MCP server, and browser automation libraries for building automated scraping/crawling workflows, but there is no mention of an interactive, manual remote browser sandbox (like a live browser session a developer can control interactively for manual browsing). This is a distinct capability (e.g., live view/remote debugging is not documented here) rather than automated headless browser execution.
ScrapingBeenone0/10ScrapingBee's documentation describes a headless browser API for automated scraping (JS scenarios, screenshots, extraction rules) but no evidence of an interactive, manual remote-browser sandbox session a developer could drive by hand.
- [claimed-docs] “If you want to interact with pages you want to scrape before we return your the HTML you can add JavaScript scenario to your API call.”
- [claimed-docs] “Our headless browsers will wait for the CSS / Xpath selector passed in the parameter before returning the HTML.”
- [claimed-docs] “If you need to change the dimension of the browser's viewport (window) when scraping the target page you can use the `window_width` and `win…”
developerKeep interacting with an already-scraped page, clicking and filling forms to reach content behind a login wall
weight 2 · round to ScrapingBeeApify supports Playwright/Puppeteer/Selenium/Crawlee for building Actors that could interact with pages (clicking, filling forms, navigating login walls) via browser automation, but the evidence pack contains no direct documentation or example describing session persistence, interactive multi-step navigation through login walls, or maintaining state across scraped pages. Missing for 10: explicit documentation/example of stateful interaction with an already-loaded page (form-fill, click-through, login-wall bypass), session/cookie persistence guidance, and independent confirmation of this workflow.
- [claimed-docs] “Apify works great with both Python and JavaScript, as well as Playwright, Puppeteer, Selenium, Scrapy, and Crawlee - our own web crawling an…”
- [claimed-docs] “Develop your own Actor”
- [claimed-docs] “Software toolkits for developing new Actors.”
ScrapingBee's JS 'scenario' feature lets you script click/fill actions before the page HTML is returned, and session_id lets you reuse the same IP across multiple API calls to preserve login state — enabling a login-wall workflow. However, evidence shows only a stateless-per-request model (scenario executed once, then HTML returned) rather than a persistent, continuously interactive browser session across multiple later calls. Missing for 10: documentation of a true persistent/interactive session object you can repeatedly command, and any hands-on confirmation this pattern reliably defeats login walls.
- [claimed-docs] “If you want to interact with pages you want to scrape before we return your the HTML you can add JavaScript scenario to your API call.”
- [claimed-docs] “Our headless browsers will wait for the CSS / Xpath selector passed in the parameter before returning the HTML.”
- [claimed-docs] “session_id [integer] ("") Route multiple API requests through the same IP address”
developerScript page interactions like clicking, filling inputs, and scrolling before content is returned
weight 3 · round to ScrapingBeeApify supports building Actors with Playwright, Puppeteer, Selenium, and Crawlee, which are libraries capable of scripting clicks, filling inputs, and scrolling before content extraction, but the evidence pack only asserts library compatibility rather than showing documented examples or tutorials of interaction scripting within Apify Actors. Missing for 10: dedicated docs/tutorials demonstrating click/fill/scroll interaction patterns within an Actor, and independent hands-on confirmation of this workflow.
- [claimed-docs] “Apify works great with both Python and JavaScript, as well as Playwright, Puppeteer, Selenium, Scrapy, and Crawlee - our own web crawling an…”
- [claimed-docs] “Develop your own Actor”
- [claimed-docs] “Software toolkits for developing new Actors.”
ScrapingBee's docs explicitly describe a 'JavaScript scenario' feature to interact with pages (click, fill, scroll, etc.) before HTML is returned, plus wait-for-selector support to ensure content loads after interactions. This directly matches the story of scripting interactions before content is returned, though evidence lacks a full list of supported actions or independent hands-on confirmation. Missing for 10: detailed enumeration of supported interaction commands (click/fill/scroll) beyond generic 'JavaScript scenario' mention, and independent/community validation of this specific feature.
- [claimed-docs] “If you want to interact with pages you want to scrape before we return your the HTML you can add JavaScript scenario to your API call.”
- [claimed-docs] “Our headless browsers will wait for the CSS / Xpath selector passed in the parameter before returning the HTML.”
- [claimed-docs] “This can be useful for scraping a Single Page Application built with frameworks such as React.js, Angular.js, JQuery or Vue.”
Render configuration
developerControl the browser viewport width and height when rendering a page
weight 1 · round to ScrapingBeeApifynone0/10No evidence pack item mentions viewport width/height control or browser rendering configuration; while Apify supports Playwright/Puppeteer/Crawlee generically, no specific documentation of viewport control is cited. Missing for 10: any docs or examples showing viewport/window size configuration in Apify Actors or SDK.
Official docs explicitly state window_width and window_height parameters let developers change the browser viewport dimensions when rendering the target page. missing for 10: no independent/hands-on corroboration beyond first-party docs.
- [claimed-docs] “If you need to change the dimension of the browser's viewport (window) when scraping the target page you can use the `window_width` and `win…”
Session persistence
developerPass my own session cookies so the API fetches pages requiring authentication
weight 2 · round drawnApifynone0/10No evidence pack item mentions passing custom session cookies or authentication headers for fetching pages behind login; docs listed cover general Actor development, CLI, MCP, and marketplace features but nothing about cookie/session injection.
developerReuse a persistent browser profile with saved cookies and login state across multiple requests
weight 2 · round drawnApifynone0/10No evidence in the pack mentions persistent browser profiles, cookie storage, or session/login state reuse across requests; docs only cover general Actor development, CLI, SDKs, proxies, and scheduling.
ScrapingBeenone0/10ScrapingBee's docs mention session_id only for routing requests through the same IP address, not for persisting cookies or login state across requests; no evidence of a saved browser profile or session state reuse mechanism.
- [claimed-docs] “session_id [integer] ("") Route multiple API requests through the same IP address”
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
ai-native userDo everything through the API that I can do in the UI
weight 2 · round to ApifyApify documents a full OpenAPI-based API (apify-probe-2), a CLI to control the platform from terminal/scripts (apify-docs-3, apify-probe-4), and docs explicitly covering scheduling, monitoring, sharing, proxy, and Actor management—core UI functions all exposed programmatically. This is corroborated by an official MCP server and llms.txt for AI-native access (apify-probe-3, apify-probe-1). Missing for 10: independent/hands-on confirmation that every single UI feature (e.g., billing, org permissions) has 1:1 API parity, and no explicit statement of complete UI/API feature parity.
- [claimed-docs] “Control the Apify platform from terminal or shell scripts.”
- [claimed-docs] “Automatically start Actors and saved tasks at specific times.”
- [claimed-docs] “Check the performance of your Actors, validate data quality, and receive alerts.”
- [claimed-docs] “Avoid blocking by smartly rotating datacenter and residential IP addresses.”
- [claimed-docs] “Share Actors with other people, manage your organizations and permissions.”
- [probe] “PROBE openapi: HTTP 200 at https://docs.apify.com/api/openapi.json — contains "openapi" key”
- [probe] “official CLI documented at https://docs.apify.com/cli/”
- [probe] “official MCP server documented at https://docs.apify.com/platform/integrations/mcp”
- [probe] “PROBE llms.txt: HTTP 200 at https://docs.apify.com/llms.txt # Apify Documentation > Apify is the largest marketplace of tools for AI. Thous…”
ScrapingBee is API-first, and the docs show an extensive, feature-rich API surface (JS rendering, screenshots, extraction rules, AI query, proxies, session control) covering essentially all scraping functionality (scrapingbee-docs-1 through 15). However, there is no explicit statement comparing the API's capabilities to what's available in ScrapingBee's dashboard/UI, so full parity can't be confirmed from evidence. Missing for 10: explicit UI-vs-API feature parity documentation, confirmation that dashboard-only tools (e.g. request builder, account settings) have no capabilities absent from the API.
- [claimed-docs] “To scrape a web page, you only need two things: Your API key... The encoded web page URL you want to scrape”
- [claimed-docs] “If you want to interact with pages you want to scrape before we return your the HTML you can add JavaScript scenario to your API call.”
- [claimed-docs] “extract_rules [stringified JSON] ("") Data extraction from CSS selectors”
- [claimed-docs] “ai_query [string] ("") The information you want to extract from the webpage using AI”
- [claimed-docs] “screenshot_selector [string] ("") Return a screenshot of a particular area of the page, targeted by a CSS selector”
ai-native userExport all of my data in open formats and leave
weight 3 · round drawnApify provides a CLI and REST/OpenAPI API (apify-docs-3, apify-probe-2, apify-probe-4) that could be used to pull data out of the platform, implying some data portability, but the evidence pack never documents actual dataset export formats (e.g., JSON/CSV/Excel) or an explicit 'export and leave' workflow. missing for 10: explicit documentation of dataset export formats, confirmation of full data portability/deletion, and independent verification that a user can fully migrate data out.
- [claimed-docs] “Control the Apify platform from terminal or shell scripts.”
- [probe] “PROBE openapi: HTTP 200 at https://docs.apify.com/api/openapi.json — contains "openapi" key”
- [probe] “official CLI documented at https://docs.apify.com/cli/”
ScrapingBee returns scraped content in open formats such as raw HTML, JSON (extract_rules) and Markdown (return_page_markdown), so output data is not locked into a proprietary format. However, there is no evidence of account-level data export, no mention of stored user data portability, and no explicit 'leave anytime with your data' commitment—since it's a stateless scraping API, the 'export and leave' framing only partially applies. Missing for 10: account/usage data export tooling, explicit data-portability statement, independent confirmation of format openness beyond docs.
- [claimed-docs] “extract_rules [stringified JSON] ("") Data extraction from CSS selectors”
- [claimed-docs] “return_page_markdown [boolean] (false) Return the page content in markdown format”
- [claimed-docs] “ai_query [string] ("") The information you want to extract from the webpage using AI”
ai-native userRead the product's source under an open license
weight 2 · round drawnApifynone0/10Apify is a proprietary SaaS platform; while its SDKs/CLI and Crawlee library have some open-source components, the evidence pack shows no mention of an open license for the core platform's source code, and the product itself (the Apify platform/service) is closed-source.
ScrapingBeenone0/10No evidence ScrapingBee's core product source is available under an open license; it is a closed, paid SaaS API. A community comment even asks whether the vendor plans to open source any part of their stack, implying it currently is not.
- [community] “Any plans on open sourcing any part of your stack instead of relying on paid services like ScrapingBee? What does your SaaS setup look like?”
ai-native userSelf-host the core product
weight 3 · round drawnApifynone0/10Apify is a cloud SaaS platform; evidence shows Actor development, CLI, MCP server, and marketplace features but no evidence of an open-source self-hostable core platform or on-premise deployment option. The Apify SDK/Crawlee is open source, but the core platform (task scheduling, storage, marketplace) is not shown as self-hostable.
ScrapingBeenone0/10ScrapingBee is a hosted SaaS API; no evidence of any self-hostable core product, on-premise deployment option, or open-source release. Community comment explicitly asks whether ScrapingBee plans to open-source its stack, with no vendor response indicating such an offering exists.
- [community] “Any plans on open sourcing any part of your stack instead of relying on paid services like ScrapingBee? What does your SaaS setup look like?”
- [community] “Have you looked at running something locally instead of paying for ScrapingBee? I'm using Laravel and considering Dusk to retrieve page cont…”
Output formats — stories about output formats in this arenaOutput formats
Stories about output formats in this arena
Content formats
developerReceive scraped content as clean markdown instead of raw HTML
weight 3 · round to ScrapingBeeApifynone0/10No evidence in the pack mentions markdown output or content-format conversion capabilities for scraped data; docs references cover Actors, CLI, MCP, scheduling, proxies, etc., but nothing about clean markdown vs raw HTML output.
ScrapingBee's docs explicitly offer a `return_page_markdown` parameter to return page content as markdown instead of raw HTML, directly matching the story. Missing for 10: independent/hands-on confirmation of markdown output quality and any community corroboration of this specific feature.
- [claimed-docs] “return_page_markdown [boolean] (false) Return the page content in markdown format”
developerChoose exactly which output format is returned, such as markdown, HTML, text, or frontmatter
weight 2 · round to ScrapingBeeApifynone0/10No evidence in the pack shows Apify letting developers select specific output formats like markdown, HTML, text, or frontmatter; the docs cover Actors, CLI, MCP, and platform features but not configurable content-extraction output formats.
Docs confirm HTML is the default output and a dedicated `return_page_markdown` parameter lets developers get markdown instead, but there's no documented option for a plain-text-only extraction or a frontmatter output format, and extract_rules/ai_query only allow custom JSON-style extraction, not those specific formats. Missing for 10: explicit plain-text output mode, frontmatter output support, independent confirmation of format switching.
- [claimed-docs] “To scrape a web page, you only need two things: Your API key... The encoded web page URL you want to scrape”
- [claimed-docs] “return_page_markdown [boolean] (false) Return the page content in markdown format”
- [claimed-docs] “extract_rules [stringified JSON] ("") Data extraction from CSS selectors”
developerReceive scraped content as structured JSON
weight 3 · round to ScrapingBeeApifynone0/10The evidence pack contains no documentation or claims about dataset/output formats (e.g., JSON, CSV, Excel) delivered from Actors; only generic docs about building/publishing Actors, CLI, MCP, and API schema are present. Missing for 10: explicit mention of dataset export formats, JSON output examples, or API endpoints returning structured scraped data.
ScrapingBee offers extract_rules for CSS-selector-based structured data extraction and ai_query for AI-driven extraction, plus return_page_markdown for markdown output, indicating structured output beyond raw HTML. However, there's no explicit documented 'return as JSON' toggle or example showing a full JSON schema response, and no independent/community confirmation of structured JSON output quality. Missing for 10: explicit JSON output examples/schema, independent verification of structured JSON extraction reliability.
- [claimed-docs] “extract_rules [stringified JSON] ("") Data extraction from CSS selectors”
- [claimed-docs] “ai_query [string] ("") The information you want to extract from the webpage using AI”
- [claimed-docs] “return_page_markdown [boolean] (false) Return the page content in markdown format”
Llm ready output
ai-native userGet clean LLM-ready text directly instead of dealing with blocking, rendering, and messy HTML myself
weight 3 · round drawnApify offers anti-blocking proxy rotation, an MCP server for LLM/agent consumption, and llms.txt documentation support, suggesting some LLM-ready output orientation, but the evidence never explicitly documents a 'clean text/markdown extraction' output mode analogous to dedicated LLM-ready scraping tools. Missing for 10: explicit documentation of automatic HTML-to-clean-text/markdown conversion output format, examples of LLM-ready output from Actors, and independent verification that scraped output is directly consumable without further parsing.
- [claimed-docs] “Avoid blocking by smartly rotating datacenter and residential IP addresses.”
- [claimed-docs] “Discover and use Actors with AI agents and LLMs via Apify MCP server.”
- [probe] “PROBE llms.txt: HTTP 200 at https://docs.apify.com/llms.txt # Apify Documentation > Apify is the largest marketplace of tools for AI. Thous…”
- [probe] “official MCP server documented at https://docs.apify.com/platform/integrations/mcp”
ScrapingBee offers return_page_markdown to get markdown output plus ai_query for AI-driven extraction and premium proxies/JS rendering to avoid blocking, directly addressing the LLM-ready text need. However, evidence doesn't show a dedicated 'clean text extraction' mode beyond markdown/extract_rules, and no independent benchmarks confirm output quality for LLM consumption. missing for 10: independent validation of markdown/text cleanliness, dedicated boilerplate-removal/reader-mode feature, hands-on confirmation from users of LLM-ready output.
- [claimed-docs] “return_page_markdown [boolean] (false) Return the page content in markdown format”
- [claimed-docs] “ai_query [string] ("") The information you want to extract from the webpage using AI”
- [claimed-docs] “premium_proxy [boolean] (false) Use premium proxies to bypass difficult to scrape websites”
- [claimed-docs] “Our headless browsers will wait for the CSS / Xpath selector passed in the parameter before returning the HTML.”
ai-native userRequest semantically chunked output instead of one large content blob, so it feeds cleanly into a retrieval pipeline
weight 2 · round drawnApifynone0/10No evidence in the pack indicates Apify offers semantic chunking of output content for retrieval pipelines; docs cover Actor development, CLI, MCP integration, scheduling, and proxy rotation, but nothing about chunked/segmented output formats.
ScrapingBeenone0/10ScrapingBee offers markdown conversion, CSS-based extraction rules, and AI query extraction, but no evidence of semantic/chunked output splitting content into retrieval-ready segments. The docs list output options (HTML, markdown, screenshots, extract_rules) but never mention chunking or segmenting content for RAG pipelines.
- [claimed-docs] “extract_rules [stringified JSON] ("") Data extraction from CSS selectors”
- [claimed-docs] “ai_query [string] ("") The information you want to extract from the webpage using AI”
- [claimed-docs] “return_page_markdown [boolean] (false) Return the page content in markdown format”
Visual capture
developerCapture a screenshot of a full page or a specific selected area
weight 2 · round to ScrapingBeeApifynone0/10The evidence pack contains no mention of screenshot capture functionality (full-page or selector-based) in any Apify docs, community posts, or probes; while Apify supports Playwright/Puppeteer which could enable screenshots, no direct evidence documents this capability.
Docs confirm a `screenshot_selector` parameter for capturing a specific CSS-selected area of a page, directly supporting selected-area screenshots. However, no evidence explicitly documents a full-page screenshot parameter or option, so only half the story is substantiated. Missing for 10: explicit full-page screenshot parameter/documentation, independent/hands-on confirmation of screenshot output quality.
- [claimed-docs] “screenshot_selector [string] ("") Return a screenshot of a particular area of the page, targeted by a CSS selector”
Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits
Free-tier ceilings, usage caps, and rate limits before you have to pay
Cost optimization
developerLet the API automatically pick the cheapest configuration that still succeeds
weight 2 · round to ScrapingBeeApifynone0/10No evidence of any automatic cost-optimization or configuration-selection feature; Apify's docs cover Actor development, scheduling, monitoring, proxies, and CLI/API tooling but nothing about automatically choosing the cheapest configuration that still succeeds.
ScrapingBee's docs explicitly describe a `mode=auto` parameter that lets the API pick the cheapest configuration that still succeeds, directly matching the story. This is first-party documented evidence, though there's no independent/hands-on corroboration of its effectiveness. Missing for 10: independent verification that auto mode reliably picks the cheapest successful config in practice.
- [claimed-docs] “mode [string] ("") Let ScrapingBee pick the cheapest configuration that succeeds. Only value is auto”
developerBlock ads on the target page to speed up scraping requests
weight 1 · round to ScrapingBeeApifynone0/10Evidence pack shows Apify's proxy/IP rotation, Actor development, CLI, MCP, and marketplace features, but no mention of ad-blocking or resource-blocking capabilities for target pages to speed up scraping.
Official docs explicitly document the `block_ads=true` parameter to prevent ad loading and speed up scraping requests, directly matching the story. Missing for 10: independent/hands-on corroboration of the speed benefit and no third-party benchmark confirming the claim.
- [claimed-docs] “By default, ScrapingBee does not block ads. To avoid scraping them (e.g.,to speed up your request), use `block_ads=true`”
developerBlock images and CSS resources by default to reduce bandwidth and speed up requests
weight 1 · round to ScrapingBeeApifynone0/10No evidence pack item mentions blocking images/CSS resources or any bandwidth-saving resource filtering feature; while Apify's underlying crawlers (Puppeteer/Playwright) could support this, no documentation here confirms a default or built-in option for it.
Official docs explicitly state ScrapingBee blocks all images and CSS by default to speed up requests, with an opt-out via block_resources=false, directly matching the story. Missing for 10: independent/hands-on corroboration beyond vendor docs.
- [claimed-docs] “By default, and to speed up requests, ScrapingBee blocks all images and CSS in the scraped page, but to scrape them, use `block_resources=fa…”
ai-native userSet how much reasoning effort an autonomous agent spends on a data-gathering task (low, medium, high)
weight 2 · round drawnApifynone0/10No evidence Apify exposes a reasoning-effort control (low/medium/high) for agents on data-gathering tasks; the docs cover Actors, CLI, scheduling, proxies, and MCP integration but nothing about configurable reasoning depth or agent 'effort' levels.
Cost transparency
developerWhether exceeding my plan's monthly credit or request quota triggers overage charges or a hard cutoff
weight 3 · round drawnApifynone0/10No evidence in the pack addresses what happens when a plan's monthly credit or request quota is exceeded—no mention of overage billing, pay-as-you-go charges, or hard cutoffs/service suspension. Missing for 10: any pricing/billing docs on overage policy, quota enforcement behavior, or account throttling upon limit breach.
developerWhether failed, blocked, or empty-result requests still consume my billing quota
weight 2 · round drawnApifynone0/10No evidence in the pack addresses whether failed, blocked, or empty-result runs still consume billing quota/compute units; none of the docs or community items discuss billing treatment of failed or empty results.
ScrapingBeenone0/10The evidence pack contains no documentation or discussion of billing behavior for failed, blocked, or empty-result requests—no mention of credit refunds, only-charge-on-success policies, or how failed/blocked scrapes affect quota consumption. Community comments discuss cost/pricing generally but not this specific billing mechanic.
developerSet a spending cap or usage alert so proxy/credit consumption doesn't silently blow past my budget
weight 3 · round drawnApifynone0/10No evidence pack item mentions spending caps, budget limits, or usage alerts for proxy/credit consumption; docs snippets cover Actor development, scheduling, monitoring performance/data quality, but not billing/usage limit controls.
ScrapingBeenone0/10No evidence of any spending cap, usage alert, or budget notification feature in ScrapingBee's docs or community reports; community comments even highlight cost as a pain point without mentioning any budget-control tooling.
- [community] “Using ScrapingBee is expensive; I've brought the cost of a CRM creation down to about 1.5 cents (+3 cents for a custom cover image) by looki…”
Performance tuning
developerTrade off latency against completeness by controlling exactly when content is returned
weight 1 · round to ScrapingBeeApifynone0/10No evidence pack items address configurable latency-vs-completeness tradeoffs (e.g., streaming partial results, timeouts, or synchronous vs async return controls); docs cover scheduling, monitoring, proxies, and Actor development but not this specific control.
ScrapingBee lets developers control timing/completeness tradeoffs via wait-for-selector, JS scenarios, block_ads/block_resources flags, and an 'auto' mode that picks the cheapest successful configuration, giving direct levers over latency vs. completeness. However, this is all documented capability with no independent benchmarking or hands-on confirmation of actual latency impact. Missing for 10: independent/hands-on verification of latency-completeness tradeoffs, explicit 'wait' or timeout parameter documentation, and real-world performance data beyond vendor docs.
- [claimed-docs] “If you want to interact with pages you want to scrape before we return your the HTML you can add JavaScript scenario to your API call.”
- [claimed-docs] “Our headless browsers will wait for the CSS / Xpath selector passed in the parameter before returning the HTML.”
- [claimed-docs] “By default, ScrapingBee does not block ads. To avoid scraping them (e.g.,to speed up your request), use `block_ads=true`”
- [claimed-docs] “By default, and to speed up requests, ScrapingBee blocks all images and CSS in the scraped page, but to scrape them, use `block_resources=fa…”
- [claimed-docs] “mode [string] ("") Let ScrapingBee pick the cheapest configuration that succeeds. Only value is auto”
Plan scale limits
data-engineerThe maximum concurrent sessions or requests allowed on my pricing tier and the cost to raise that cap
weight 2 · round drawnApifynone0/10No evidence pack item documents concurrent session/request caps per pricing tier or the cost to increase them; nothing addresses concurrency limits or upgrade pricing.
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
ai-native userChoose where my data is stored (region/residency)
weight 2 · round drawnApifynone0/10No evidence in the pack mentions data residency, region selection, or storage location controls for Apify; this is a fair question for a cloud data platform but is unaddressed.
ScrapingBeenone0/10Evidence covers proxy geolocation for scraping targets (country_code) but no mention of data residency or storage region controls for ScrapingBee's own data handling/storage; no privacy/compliance documentation is present. Missing for 10: any documentation of data storage regions, residency options, or compliance certifications (e.g., EU data hosting).
- [claimed-docs] “country_code [string] ("") Premium proxy geolocation”
ai-native userPrevent my data from being used to train AI models
weight 3 · round drawnApifynone0/10No evidence pack items mention AI training data opt-out, data usage policies for model training, or privacy controls addressing this specific concern; all citations relate to Actor development, marketplace, CLI, and MCP features unrelated to data-training privacy.
ai-native userControl data retention and deletion
weight 2 · round drawnApifynone0/10No evidence pack items address data retention policies, dataset/storage expiration controls, or deletion mechanisms for user data on the Apify platform. Missing for 10: documentation on data retention periods, deletion APIs/controls, GDPR-related data handling, or account/data export-and-delete workflows.
ScrapingBeenone0/10No evidence in the pack addresses data retention policies, deletion controls, or privacy/data lifecycle management for ScrapingBee; documentation excerpts focus solely on scraping features and API parameters. Missing for 10: any mention of data retention windows, deletion APIs/requests, privacy policy details, or compliance certifications.
ai-native userOpt out of telemetry and usage tracking
weight 2 · round drawnApifynone0/10No evidence pack items mention telemetry, usage tracking, or an opt-out mechanism for Apify's CLI, SDK, or platform; all citations concern unrelated features like Actors, MCP, CLI commands, and marketplace stats.
Scale reliability — behavior under load — scaling limits, uptime, failure handlingScale reliability
Behavior under load — scaling limits, uptime, failure handling
Ai driven crawling
ai-native userRely on adaptive crawling that automatically stops once enough information has been gathered to answer my query
weight 2 · round drawnApifynone0/10No evidence describes adaptive crawling that dynamically stops once sufficient information is gathered to answer a query; Apify's docs cover Actors, scheduling, proxies, MCP integration, and CLI but nothing about query-driven adaptive stopping logic.
ScrapingBeenone0/10ScrapingBee's docs describe single-page scraping, AI-based extraction (ai_query), and cost-optimizing 'auto' mode, but there is no evidence of adaptive multi-step crawling that dynamically decides when enough information has been gathered to stop. No crawling/agentic loop or stopping-criteria feature is documented.
- [claimed-docs] “ai_query [string] ("") The information you want to extract from the webpage using AI”
- [claimed-docs] “mode [string] ("") Let ScrapingBee pick the cheapest configuration that succeeds. Only value is auto”
Batch processing
data-engineerBatch scrape thousands of URLs asynchronously
weight 3 · round to ApifyApify's platform is built around Actors (scrapers) that run at scale in the cloud, with scheduling, proxy rotation to avoid blocking, monitoring/alerts, and CLI/API control — all consistent with batch-scraping thousands of URLs asynchronously. However, no evidence pack item explicitly documents async batch job queuing, concurrency limits, or dataset-scale benchmarks for 'thousands of URLs' specifically. missing for 10: explicit documentation/benchmarks of large-scale async URL batch scraping, concurrency/queue management details, and independent hands-on validation of scale claims.
- [claimed-docs] “Automatically start Actors and saved tasks at specific times.”
- [claimed-docs] “Check the performance of your Actors, validate data quality, and receive alerts.”
- [claimed-docs] “Avoid blocking by smartly rotating datacenter and residential IP addresses.”
- [claimed-docs] “Control the Apify platform from terminal or shell scripts.”
- [probe] “official CLI documented at https://docs.apify.com/cli/”
ScrapingBeenone0/10The evidence pack only documents single-URL synchronous scraping API parameters (JS rendering, extraction rules, proxies, screenshots) with no mention of batch job submission, async processing, concurrency limits, or a queue/webhook system for handling thousands of URLs at scale.
developerApply different crawl configurations to different URL patterns within a single batch job
weight 1 · round drawnApifynone0/10No evidence in the pack shows per-URL-pattern crawl configuration within a single job; docs mention general Actor development, scheduling, proxy rotation, and CLI/MCP tooling but nothing about applying different crawl rules to different URL patterns in one batch job.
ScrapingBeenone0/10ScrapingBee's API is per-URL request based with configuration parameters set per call; there is no evidence of a 'batch job' concept or a way to define per-URL-pattern rules within a single job. The docs describe single-page scraping options (JS scenario, extract_rules, proxies, etc.) but nothing about batch jobs with pattern-based configuration.
Concurrency
data-engineerSpin up many concurrent scraping sessions to gather data at scale
weight 3 · round to ApifyApify's platform supports running Actors (scrapers) with IP rotation to avoid blocking, scheduling, monitoring, and CLI/API control, which implies infrastructure for scaling scraping jobs, but the evidence pack lacks explicit documentation on concurrency limits, parallel run orchestration, or autoscaling guarantees for many simultaneous sessions. Missing for 10: explicit docs on concurrent run limits/autoscaling, benchmarks or case studies demonstrating large-scale concurrent scraping, and independent verification of scale-reliability under load.
- [claimed-docs] “Automatically start Actors and saved tasks at specific times.”
- [claimed-docs] “Check the performance of your Actors, validate data quality, and receive alerts.”
- [claimed-docs] “Avoid blocking by smartly rotating datacenter and residential IP addresses.”
- [claimed-docs] “Control the Apify platform from terminal or shell scripts.”
- [claimed-docs] “Apify works great with both Python and JavaScript, as well as Playwright, Puppeteer, Selenium, Scrapy, and Crawlee - our own web crawling an…”
ScrapingBee is inherently an API you can call many times, and docs mention session_id for routing multiple requests through the same IP, but the evidence pack contains no explicit documentation of concurrency limits, parallel-request quotas, or scaling architecture for high-volume data-engineering workloads. Missing for 10: explicit concurrency/rate-limit specs, documented plan-based concurrent request caps, and independent evidence of successful large-scale concurrent scraping.
- [claimed-docs] “session_id [integer] ("") Route multiple API requests through the same IP address”
- [claimed-docs] “premium_proxy [boolean] (false) Use premium proxies to bypass difficult to scrape websites”
- [claimed-docs] “To scrape a web page, you only need two things: Your API key... The encoded web page URL you want to scrape”
Crawl compliance
data-engineerConfigure the crawler to respect robots.txt rules and target-site rate limits automatically
weight 2 · round drawnApifynone0/10Evidence mentions IP rotation to avoid blocking and general Actor development/scheduling docs, but nothing explicitly addresses automatic robots.txt compliance or configurable rate-limiting to respect target-site limits. missing for 10: robots.txt compliance settings, automatic rate-limit/throttling configuration, documentation or community confirmation of these specific features.
- [claimed-docs] “Avoid blocking by smartly rotating datacenter and residential IP addresses.”
Fault tolerance
data-engineerResume a crashed deep crawl from a saved checkpoint instead of restarting from scratch
weight 2 · round drawnApifynone0/10No evidence in the pack mentions checkpointing or resuming a crashed deep crawl; Apify docs cover Actors, scheduling, monitoring, CLI, MCP, etc., but nothing about saving/restoring crawl state after a crash. This is a plausible axis for a scraping platform, so absence of evidence yields 'none'.
Operational transparency
data-engineerCheck a public status page showing uptime history and past incident postmortems before committing to the service
weight 2 · round drawnApifynone0/10No evidence of a public status page, uptime history, or incident postmortems anywhere in the pack; only docs, community sentiment, and API/CLI probes are provided.
Scheduling monitoring
data-engineerMonitor target pages for content changes, such as price or listing updates, and get notified as they happen
weight 2 · round to ApifyApify offers scheduling to run Actors periodically (apify-docs-6) and general Actor monitoring/alerting (apify-docs-7), which together could underpin a page-change-monitoring workflow, and its marketplace likely has ready-made 'content checker' Actors, but no evidence pack item explicitly documents a change-detection/diffing feature or notification-on-change capability for target pages like prices or listings. Missing for 10: explicit docs on content-diff/change-detection Actors, notification channels (email/webhook/Slack) triggered specifically by detected content changes, and independent confirmation of this exact use case.
- [claimed-docs] “Automatically start Actors and saved tasks at specific times.”
- [claimed-docs] “Check the performance of your Actors, validate data quality, and receive alerts.”
ScrapingBeenone0/10ScrapingBee is an on-demand scraping API (fetch a page, extract data, render JS) with no evidence of scheduled monitoring, change-detection, diffing, or notification/webhook features for tracking content changes over time. The evidence pack only covers single-request scraping parameters, proxies, and rendering options, not continuous monitoring or alerting.
data-engineerMonitor job performance, validate data quality, and receive alerts when something fails
weight 2 · round to ApifyApify docs explicitly state the platform lets users check Actor performance, validate data quality, and receive alerts, directly matching the story. Missing for 10: independent/hands-on corroboration of monitoring/alerting in practice and detail on alert configuration options beyond the single doc line.
- [claimed-docs] “Check the performance of your Actors, validate data quality, and receive alerts.”
developerMonitor live system metrics and worker/browser pool status through a real-time dashboard
weight 1 · round to ApifyApify docs mention monitoring Actor performance, data quality checks, and alerts (apify-docs-7), implying some run/status visibility, but there's no concrete evidence of a real-time dashboard showing live system metrics or worker/browser pool status specifically. Missing for 10: explicit dashboard UI showing live resource/worker pool metrics, screenshots or docs describing real-time monitoring views, and independent confirmation of dashboard capabilities.
- [claimed-docs] “Check the performance of your Actors, validate data quality, and receive alerts.”
developerSchedule scraping jobs to run automatically at specific times
weight 2 · round to ApifyApify docs explicitly state scheduling functionality: "Automatically start Actors and saved tasks at specific times," directly matching the story of scheduling scraping jobs to run automatically. This is corroborated by CLI/API tooling for platform control, though there's no independent hands-on report specifically validating the scheduler feature. Missing for 10: independent/community confirmation of scheduling reliability, and more detail on schedule configuration options (cron, timezone, etc.).
- [claimed-docs] “Automatically start Actors and saved tasks at specific times.”
- [claimed-docs] “Control the Apify platform from terminal or shell scripts.”
- [probe] “official CLI documented at https://docs.apify.com/cli/”
Site crawling
data-engineerRun a deep crawl using a breadth-first strategy with a configurable maximum page limit
weight 2 · round drawnApifynone0/10While Apify's Crawlee library and Actors are built for web crawling, none of the evidence mentions a breadth-first crawl strategy or a configurable maximum page limit specifically; the docs pack only lists generic feature blurbs (Actor development, scheduling, monitoring, proxies) without crawl-strategy specifics.
ScrapingBeenone0/10ScrapingBee's documented API is per-page scraping (single URL requests with rendering, extraction, proxy options) with no evidence of a crawl orchestration feature supporting breadth-first traversal or a configurable max-page limit for multi-page crawls.
- [claimed-docs] “To scrape a web page, you only need two things: Your API key... The encoded web page URL you want to scrape”
- [claimed-docs] “extract_rules [stringified JSON] ("") Data extraction from CSS selectors”
developerCrawl an entire website and get content from all its pages with one request
weight 3 · round to ApifyApify's ecosystem includes Crawlee and general Actor infrastructure that could power full-site crawling, and marketplace Actors (like website content crawlers) exist implicitly via the Store, but the evidence pack lacks any direct documentation of a single-request 'crawl entire website' Actor, its configuration, or output format. missing for 10: explicit docs/demo of a whole-site crawler Actor invoked via one API call, details on link-following/depth/queue handling, and independent confirmation of successful full-site crawls.
- [claimed-docs] “Apify works great with both Python and JavaScript, as well as Playwright, Puppeteer, Selenium, Scrapy, and Crawlee - our own web crawling an…”
- [claimed-docs] “Marketplace of 64,279 Actors”
- [probe] “PROBE llms.txt: HTTP 200 at https://docs.apify.com/llms.txt # Apify Documentation > Apify is the largest marketplace of tools for AI. Thous…”
- [probe] “PROBE openapi: HTTP 200 at https://docs.apify.com/api/openapi.json — contains "openapi" key”
ScrapingBeenone0/10ScrapingBee's API is designed for single-page scraping requests (one URL per call); the evidence shows no crawler feature that follows links across a domain or aggregates content from multiple pages in one request. No mention of a 'crawl' endpoint, sitemap traversal, or multi-page job in a single API call.
- [claimed-docs] “To scrape a web page, you only need two things: Your API key... The encoded web page URL you want to scrape”
- [claimed-docs] “This can be useful for scraping a Single Page Application built with frameworks such as React.js, Angular.js, JQuery or Vue.”
developerInstantly discover all URLs on a website without fully crawling it
weight 2 · round drawnApifynone0/10No evidence of a sitemap/URL-discovery feature (e.g., a dedicated sitemap crawler or 'discover URLs without full crawl' Actor); evidence only covers general crawling, Actors, CLI, MCP, and proxy features. Absence of evidence for this specific capability yields 'none'.
ScrapingBeenone0/10ScrapingBee's evidence covers page scraping, JS rendering, extraction rules, proxies, and AI queries, but nothing describes a sitemap/URL-discovery feature that lists all URLs on a site without crawling each page. No sitemap parsing, URL enumeration, or site-mapping endpoint is documented.
Not comparable on these axes
ai-native userPlug MCP servers into this product so it can use their tools
weight 3 · not comparableApifynone0/10All MCP evidence (apify-docs-10, apify-probe-3) describes Apify exposing its own Actors via an MCP server so external AI agents can use Apify's tools — i.e., Apify acting as an MCP server provider, not as a client that plugs in third-party MCP servers to use their tools. There is no evidence Apify can consume or integrate external MCP servers itself, so the story as stated (product acting as MCP client) is unsupported.
- [claimed-docs] “Discover and use Actors with AI agents and LLMs via Apify MCP server.”
- [probe] “official MCP server documented at https://docs.apify.com/platform/integrations/mcp”
ScrapingBeen/aScrapingBee is a web-scraping API/SaaS product, not an agent or orchestration platform that would itself consume other MCP servers' tools; evidence only shows it exposes its own MCP server (mcp.scrapingbee.com), i.e., it is the tool provider, not a tool consumer. Plugging external MCP servers into ScrapingBee to gain their tools is a category error for this kind of product.
- [probe] “official MCP server documented at https://mcp.scrapingbee.com/”
ai-native userVersion, review, and roll back my automations
weight 1 · not comparableApifynone0/10The evidence pack covers Actor development, scheduling, monitoring, and marketplace sharing, but contains no mention of versioning Actor code, review workflows, or rollback to prior automation versions. Axis is applicable to an automation/scraping platform but no supporting evidence is present.