Firecrawl

Firecrawl is a web scraping and crawling API that converts websites into clean, LLM-ready markdown or JSON. It handles JavaScript rendering, dynamic content and anti-bot challenges, has an open-source AGPL core that can be self-hosted, and offers a managed cloud with a stealth proxy layer. It is a popular building block for RAG systems and AI agents.

Firecrawl is a developer tool that crawls and scrapes websites, then returns clean, structured data ready to feed into LLMs and AI pipelines. Instead of wrangling raw HTML, you call its API to get markdown or JSON for a single page, an entire site, or a search-and-extract job, with handling for JavaScript-rendered pages, dynamic content and anti-bot obstacles. It has become a popular building block for RAG systems, AI agents and data ingestion. The core is open source under AGPL-3.0 and can be self-hosted with Docker, giving developers control and transparency. The hosted cloud adds capabilities the self-hosted stack lacks, most notably a managed anti-bot and stealth proxy layer, plus reliability and scale. Pricing is credit-based, roughly one credit per page, with a free allotment and paid tiers scaling credit volume. Firecrawl came out of Y Combinator and is built by the team behind Mendable (Caleb Peffer, Eric Ciarla and Nicolas Silberstein Camara). It has raised roughly $16.2 million, with backers including Nexus Venture Partners and Shopify CEO Tobias Lütke, and reports a large developer community and tens of thousands of GitHub stars. It is a strong fit for developers building AI features that need reliable web data, with the self-hosting option appealing to those with data-control needs.