crawl4ai
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
Crawl4AI is an open-source MCP server that transforms web pages into clean, LLM-ready Markdown format optimized for retrieval-augmented generation (RAG), AI agents, and data pipelines. Built by unclecode, it provides fast, controllable web crawling and scraping with async browser pools, intelligent content filtering, and structured data extraction. The server handles dynamic JavaScript-heavy sites, supports deep crawling with multiple strategies, and outputs content specifically formatted for large language model consumption without requiring API keys or external services.
Key Features
Use Cases
- 01Building RAG knowledge bases by crawling documentation sites and converting them to clean Markdown for vector embeddings
- 02Training AI agents with web-scraped data extracted into structured JSON schemas for product catalogs or pricing tables
- 03Monitoring and archiving news sites with LLM-based content filtering to extract only relevant articles
- 04Automating competitor research by deep-crawling e-commerce sites and extracting product metadata without API access
- 05Creating synthetic datasets for fine-tuning language models from large-scale web content with intelligent chunking
- 06Implementing browser-based testing workflows that preserve authentication state across multi-page crawls
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crawl4ai — FAQ
What is the Crawl4AI MCP server?+
Crawl4AI is an MCP server that crawls and scrapes web pages, converting them into clean Markdown and structured data formats optimized for AI and LLM workflows. It handles dynamic JavaScript content, supports deep multi-page crawling, and requires no external API keys.
How do I install Crawl4AI MCP server?+
Install via pip with 'pip install -U crawl4ai' then run 'crawl4ai-setup' to configure Playwright browsers. For Docker deployment, pull the image with 'docker pull unclecode/crawl4ai:latest' and run with exposed port 11235 for the API server.
Which MCP clients work with Crawl4AI?+
Crawl4AI includes MCP integration for direct connection to AI tools like Claude Code and can be used with any client that supports the Model Context Protocol. The Docker server also provides a REST API and interactive playground for testing.
Do I need API keys to use Crawl4AI?+
No API keys are required for basic crawling and Markdown generation. API tokens are only needed if you use the optional LLM extraction strategy with providers like OpenAI or Anthropic for schema-based data extraction.
Is Crawl4AI free and open source?+
Yes, Crawl4AI is fully open source under an Apache-style license and free to use without rate limits or accounts. A cloud API is in closed beta for managed large-scale deployments.
What browsers does Crawl4AI support?+
Crawl4AI works with Chromium, Firefox, and WebKit via Playwright for async crawling. It supports custom browser profiles, proxy configurations, and remote browser control via Chrome DevTools Protocol.
How do I install crawl4ai?+
Open the source repository on GitHub and follow its README. crawl4ai is a mcp server — MCP Agents Market links you directly to the official repo.
Is crawl4ai free?+
crawl4ai is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.