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AI visibility report

Crawlee ranks #11 in Web Data Infrastructure for AI AI search.

Outside the top three on 22 of the 25 prompts buyers actually ask.

Bright Data is cited on 16 of those losses.

25 prompts
6 platforms
Updated Jun 27, 2026 - refreshed weekly
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1percent
Presence Rate
Low presence

#11 among 12 vendors · still absent from 98.7% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

+0.25
Sentiment
-1.00.0+1.0
Positive
#11of 12

Peer Ranking

#1#12
Below averagein Web Data Infrastructure for AI

Key Metrics

Presence Rate1.3%
Share of Voice0.3%
Avg Position#11.0
Docs Presence0.0%
Blog Presence0.0%
Brand Mentions1.3%

Platform Breakdown

Perplexity
8%2/25 prompts
ChatGPT
0%0/25 prompts
Bing Copilot
0%0/25 prompts
Google AI Mode
0%0/25 prompts
Gemini Search
0%0/25 prompts
Grok
0%0/25 prompts

Narrower footprint, stronger tone. Crawlee ranks #11 on presence but #9 on sentiment. That means the brand is framed well when it appears, but still needs broader prompt-response coverage.

Where Crawlee is losing

Prompts where competitors are visible and Crawlee is not.

These prompt-level losses are the first prompts to track and repair.

Where Crawlee is winning

No clear strengths identified yet.

Where Crawlee is losing5

  • What are the best web crawling APIs for a small team that wants clean markdown output for LLM ingestion with minimal configuration?

    Competitors on 4 platforms

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  • Looking for a web extraction platform that converts full websites into structured markdown for a retrieval-augmented generation system — what are my options?

    Competitors on 4 platforms

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  • I'm evaluating web data extraction platforms for an AI startup — which ones let me go from signup to first successful structured data extraction the fastest?

    Competitors on 3 platforms

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  • What web data extraction services do ML engineering teams prefer when they need reliable structured output without writing custom parsers?

    Competitors on 3 platforms

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  • Which web scraping API providers have the best uptime and success rate guarantees for production AI data pipelines?

    Competitors on 3 platforms

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Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Crawlee is an open-source web scraping and browser automation library developed by Apify, available for JavaScript/TypeScript (Node.js) and Python. Launched in August 2022 as the successor to the Apify SDK, it provides a unified API across HTTP-based crawlers (Cheerio, JSDOM, BeautifulSoup, Parsel) and browser-based crawlers (Playwright, Puppeteer), enabling developers to build production-grade scrapers with consistent interfaces regardless of crawling method. Core features include automatic proxy rotation, browser fingerprinting, autoscaling, and persistent URL queue management. In February 2026, v3.16 introduced StagehandCrawler, enabling natural-language-driven page interaction powered by LLMs. The Python port reached stable v1.0 in September 2025. Licensed under Apache 2.0, Crawlee is free to use anywhere and integrates with the Apify managed cloud platform for serverless deployment.

Crawlee (by Apify) is a free, open-source web scraping and browser automation framework for JavaScript/TypeScript and Python developers. It abstracts the complexity of production web crawling — including anti-bot evasion, proxy management, browser fingerprinting, autoscaling, and data storage — behind a consistent API that works with both lightweight HTTP parsers and full headless browsers. Built and actively maintained by Apify, it serves as the foundational data-collection layer for developers building AI training pipelines, LLM data feeds, RAG systems, lead generation tools, and large-scale web automation workflows.

Key Facts

Founded
2015
HQ
Prague, Czech Republic
Founders
Jan Čurn, Jakub Balada
Employees
51-200
Funding
~€3M
Status
Private

Target users

JavaScript and TypeScript backend developers building custom scrapersPython developers extracting web data for AI/ML pipelinesData engineers building LLM training corpora or RAG data feedsDevOps and platform teams deploying and scaling scraping infrastructureStartup and enterprise product teams needing structured web data without a managed-service vendor dependency

Key Capabilities10

  • Unified API for HTTP (Cheerio, JSDOM, BeautifulSoup, Parsel) and headless browser (Playwright, Puppeteer) crawling
  • Automatic proxy rotation and tiered proxy management
  • Browser fingerprinting to mimic human-like behavior and evade bot detection
  • Persistent URL queue management with breadth-first and depth-first traversal
  • Resource-based autoscaling (AutoscaledPool)
  • Session management and cookie persistence
  • AI-powered crawling via StagehandCrawler (natural language page interaction, v3.16)
  • Configurable Cloudflare challenge handling
  • CLI for project bootstrapping (npx crawlee create / uvx crawlee create)
  • Written in TypeScript with full generics; Python library at stable v1.0 (Sept 2025)

Key Use Cases7

  • Web data extraction for LLM training datasets and RAG pipelines
  • Competitive intelligence and price monitoring at scale
  • Lead generation via structured data extraction from business directories
  • Social media data collection (LinkedIn, TikTok, YouTube, Bluesky)
  • Building and deploying reusable scraping Actors on the Apify platform
  • Automated browser workflows replacing manual web interactions
  • Large-scale recursive site crawling for search indexing or content aggregation

Recent Trend

Visibility+1.6 pts
Avg positionNo trend yet
SentimentNo trend yet

How AI describes Crawlee3

Apify (Best for JS/Node & Ecosystem): * SDK Quality: Excellent Node.js SDK ( `crawlee` ) which is tailored for modern scraping, handling browser automation (Puppeteer/Playwright) natively.

What web crawling platforms handle anti-bot detection well enough to reliably extract product data from major e-commerce sites at scale?

google-ai-modeDirect Crawlee mention
Tight integration with Playwright/Crawlee, proxy management, storage, actors. \[1\] | | Scrapfly | Excellent | Python, TypeScript, Go, Scrapy | Strong typed clients, extraction helpers, crawler abstractions, modern docs.

I'm a tech lead evaluating proxy and scraping platforms — which ones have SDKs and client libraries that don't feel like an afterthought?

chatgpt-searchDirect Crawlee mention
| Platform type | Day-to-day workflow emphasis | | --- | --- | | Apify/Crawlee | Long-running scheduled workflows and orchestration | | Firecrawl | Fast API-driven content extraction for AI pipelines | | Bright Data/Zyte | Infrastructure reliability, p...

What do developers say about the day-to-day workflow for managing large-scale crawl jobs across different web extraction platforms?

chatgpt-searchDirect Crawlee mention

Alternatives in Web Data Infrastructure for AI6

Crawlee occupies the open-source, developer-first tier of the web data infrastructure market.

  • Unlike fully managed API services (Bright Data, Scrapfly, ScrapingBee) or AI-native extraction platforms (Diffbot, Jina AI, Firecrawl), Crawlee is a self-hosted library that gives engineers complete control over crawling logic, storage, and deployment.
  • Its primary differentiators are a unified interface for HTTP and browser-based crawling, built-in anti-bot fingerprinting, automatic resource-based autoscaling, and first-class TypeScript support.
  • Crawlee occupies a complementary position to its parent platform (Apify) — the library runs anywhere for free, while Apify provides optional managed cloud infrastructure.
  • Against Python-first competitors like Scrapy or Crawl4AI, Crawlee targets JavaScript and TypeScript developers, though its Python port (v1.0 released September 2025) broadens its appeal.
  • The v3.16 release of StagehandCrawler signals a move toward AI-native crawling, closing the gap with LLM-oriented tools like Firecrawl and Crawl4AI.
View category comparison hub

Reviews

Praised

  • Unified API for HTTP and headless browser crawling
  • Production-grade reliability and active maintenance
  • TypeScript-first with strong type safety
  • Built-in browser fingerprinting for anti-bot evasion
  • Autoscaling based on available system resources
  • Free and open-source with Apache 2.0 license
  • Clean, readable source code that is easy to extend
  • Responsive maintainers and community on Discord

Criticized

  • No built-in CAPTCHA solving (requires third-party integration)
  • Cloud deployment requires separate Apify platform subscription
  • Python library matured later than JS/TS version
  • Documentation distinction between Crawlee and Apify platform can be confusing
  • High memory and CPU consumption when running headless browsers at scale
  • No no-code or visual interface for non-developers

Crawlee has no structured third-party reviews as a standalone library product. Developer feedback from the Hacker News launch (282 points, 80 comments, August 2022) was broadly positive, with practitioners praising the unified HTTP/browser API, active maintenance, TypeScript support, and production reliability. Long-term users of the predecessor Apify SDK highlighted versatility and clean, readable source code. Common community questions centered on CAPTCHA handling (no built-in solution), documentation clarity distinguishing Crawlee from the Apify platform, and resource consumption of headless browsers at scale. The Python release (July 2024 beta, September 2025 stable) was noted as highly anticipated by the data science community.

Pricing

Crawlee is free and open-source under the Apache 2.0 license with no usage fees, rate limits, or commercial restrictions. Deployment on the Apify cloud platform (Actors) is separate and subject to Apify's subscription pricing, which is based on compute units consumed. No paid tiers or enterprise licenses exist for the Crawlee library itself.

Limitations

  • Crawlee is a self-hosted library, not a managed service — teams must provision and maintain their own infrastructure (compute, proxies, storage) unless they pay for the Apify platform.
  • There is no built-in CAPTCHA solving; third-party services must be integrated manually.
  • The Python library, while stable since September 2025, has fewer features than the more mature JavaScript/TypeScript version.
  • No no-code or visual configuration interface exists; usage requires writing code.
  • Advanced anti-bot bypasses (e.g., Cloudflare Turnstile at scale, residential proxies) require external proxy providers.
  • The StagehandCrawler AI feature requires third-party LLM API keys and adds latency and cost compared to traditional CSS/XPath-based crawlers.

Frequently asked questions

Topic coverageCoverage by buyer topic

Topic Coverage

Capability0/5DevEx1/5Integrations &Ecosystem1/5Performance &Reliability0/5Setup & First Run0/5

Prompt-Level Results

Brand citedCompetitor citedNot cited
PromptChatGPTPerplexityBing CopilotGoogle AI ModeGemini SearchGrok
Capability0/5 cited (0%)

Which web scraping APIs can reliably handle JavaScript-heavy single-page applications and return clean structured data for AI training?

I need to extract and chunk web content automatically for an LLM agent — which web data services offer built-in chunking or semantic splitting?

Looking for a web extraction platform that converts full websites into structured markdown for a retrieval-augmented generation system — what are my options?

Which proxy network services support session-based scraping with geotargeting at the city level for market intelligence use cases?

What web crawling platforms handle anti-bot detection well enough to reliably extract product data from major e-commerce sites at scale?

Developer Experience1/5 cited (20%)

What web data extraction services do ML engineering teams prefer when they need reliable structured output without writing custom parsers?

What do developers say about the day-to-day workflow for managing large-scale crawl jobs across different web extraction platforms?

I'm a tech lead evaluating proxy and scraping platforms — which ones have SDKs and client libraries that don't feel like an afterthought?

Which platforms for converting web content to LLM-ready formats have the clearest docs and the best debugging tools?

Which web scraping APIs have the best developer experience for a Python-first team building data pipelines for AI applications?

Integrations & Ecosystem1/5 cited (20%)

What web data extraction APIs have prebuilt connectors or plugins for common data warehouse and data lake destinations?

What web data infrastructure platforms work best alongside open-source LLM orchestration tools for building self-updating knowledge bases?

Which proxy or web scraping services offer webhook support and event-driven data delivery for real-time AI data ingestion workflows?

Which web scraping platforms integrate natively with vector databases and LLM orchestration frameworks for AI agent pipelines?

I'm building an AI agent that needs live web data — which web crawling APIs expose a simple REST or function-calling interface for agent use?

Performance & Reliability0/5 cited (0%)

Which web scraping API providers have the best uptime and success rate guarantees for production AI data pipelines?

Which enterprise proxy network providers can handle millions of requests per day without significant rate-limit failures or IP bans?

What are the fastest web content extraction APIs for real-time RAG use cases where latency under 2 seconds matters?

What web extraction services do teams use when they need consistent structured output quality across dynamic and static pages at production scale?

I'm running a high-volume crawl pipeline for LLM fine-tuning data — which web data platforms scale to 10M+ pages per month reliably?

Setup & First Run0/5 cited (0%)

I'm evaluating web data extraction platforms for an AI startup — which ones let me go from signup to first successful structured data extraction the fastest?

What are the best web crawling APIs for a small team that wants clean markdown output for LLM ingestion with minimal configuration?

Which proxy network providers make it easiest to get rotating residential IPs set up without a lengthy sales process?

I'm building a RAG pipeline and need to pull content from hundreds of URLs — which web extraction services have the fastest onboarding?

What's the easiest web scraping API to get running in under an hour for a solo dev building an LLM data pipeline?

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Vertical Ranking

#BrandPres.SoVDocsBlogMent.PosSentiment
1Firecrawl37.3%26.4%4.0%30.7%36.7%#26.6+0.47
2Bright Data31.3%19.3%4.0%27.3%28.7%#26.1+0.43
3Apify24.0%16.7%5.3%10.7%23.3%#38.3+0.37
4Scrapfly17.3%5.0%1.3%14.7%17.3%#15.2+0.51
5ScrapingBee16.0%9.0%2.7%11.3%15.3%#37.7+0.49
6Oxylabs15.3%7.0%1.3%11.3%15.3%#32.2+0.42
7Zyte12.7%7.1%2.7%8.0%12.0%#46.3+0.48
8Octoparse6.0%2.1%0.0%6.0%5.3%#16.8+0.21
9Crawl4AI5.3%2.7%4.7%0.0%5.3%#19.4+0.54
10Jina AI5.3%3.6%0.7%0.7%5.3%#51.0+0.24
11Crawlee1.3%0.3%0.0%0.0%1.3%#11.0+0.25
12Diffbot0.7%0.8%0.0%0.7%0.7%#48.2+0.00

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