#7 · Primary category: AI Agents & Automation

firecrawl

ai ai-agents ai-crawler ai-scraping ai-search crawler data-extraction html-to-markdown llm markdown scraper scraping web-crawler web-data web-data-extraction web-scraper web-scraping web-search webscraping

The context API to search, scrape, and interact with the web at scale. 🔥

Project last updated:08/29/26

GitHub Stars

174.0K

Forks

9.6K

Contributors

172

License

AGPL-3.0

Why we included this project

Most of the work in feeding real web data into an AI system is not the AI part. It is turning arbitrary pages into clean, structured input, and doing it without hand-written scrapers that break the moment a site leans on JavaScript. Firecrawl wraps that whole job in one API: it finds sources and returns tidy Markdown or JSON an LLM can actually consume. Teams building agents that need to read live pages will find it useful, and so will anyone running a RAG pipeline that wants fresh sources flowing into a knowledge base. The service also handles the operational plumbing, from rotating proxies to rate limits and page rendering, so you spend your time on application logic instead of maintenance.

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