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Firecrawl

Open-source web scraping and crawling platform that converts websites into clean LLM-ready data for AI agents and applications.

Alternative to: Apify and ScrapingBee
Web Scraping AI LLM Crawler Automation Developer Tools Self-Hosted Open Source
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About Firecrawl

Firecrawl is an open-source web data platform designed to help developers and AI systems search, scrape, crawl, and interact with websites at scale. It provides clean markdown, structured JSON, screenshots, and other AI-friendly outputs from websites, including JavaScript-heavy pages. Firecrawl handles rotating proxies, browser automation, anti-bot challenges, rate limiting, and dynamic content rendering automatically, allowing developers to focus on building AI applications instead of maintaining scraping infrastructure. The platform includes features such as search, scraping, crawling, website mapping, AI-powered agent extraction, browser interaction automation, and batch scraping. Firecrawl also supports MCP integration, SDKs for multiple programming languages, self-hosting options, and cloud-hosted services for scalable production deployments.

Key Features

  • Search the web and retrieve full page content
  • Convert websites into clean markdown and structured JSON
  • Crawl entire websites with automatic page discovery
  • AI-powered autonomous web agent extraction
  • Interact with websites using prompts and browser actions
  • Supports JavaScript-heavy and dynamic websites
  • Screenshot and media extraction support
  • Batch scraping for thousands of URLs
  • Website URL mapping and discovery
  • MCP server integration for AI agents
  • SDKs for Python, Node.js, Java, Rust, Elixir, and more
  • Handles proxies, anti-bot protections, and rate limits automatically
  • Supports self-hosting and cloud deployment
  • LLM-optimized outputs for AI workflows
  • Open-source AGPL-3.0 licensed core platform

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