Firecrawl
The easiest way to extract AI ready data from the web
Firecrawl is the easiest way to extract data from the web. Developers use us to reliably convert URLs into LLM-ready markdown or structured data with a single API call. We crossed 6k GitHub stars in just two months and have had paying customers since day one 1. Previously, we built Mendable, one of the first commercially available “chat with your data” applications. We sold to companies like MongoDB, Coinbase, Snapchat, and more. To do this, we spent a surprising amount of time building reliable infrastructure for getting clean data from the web. When we started to see our founding friends rebuilding the same thing, we thought we might be on to something. We see Firecrawl evolving into the easiest way for humans or AIs to collect data on the web. Imagine a magical interface instantly gathering data from any format, anywhere, with no code required.
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Hey everyone! We're Caleb, Nick, and Eric, the founders behind Firecrawl - an all-in-one developer platform for crawling & scraping web data for AI applications.
TLDR: Firecrawl is an open source API that transforms any web data into a clean, LLM-ready format for RAG, agentic tasks, or training. Since launching in April we gained 8000 stars on GitHub ⭐️
The Problem: Our story began while building Mendable.ai, one of the first managed RAG platforms used by companies like Coinbase, Snap, and MongoDB. We quickly discovered that web data was not only a popular source for AI applications but that its quality was crucial for successful deployments.
Building a reliable stack that worked for almost any URL presented numerous challenges, and as we expanded, we encountered countless edge cases. While some great tools existed, none handled the entire process reliably. We envisioned an API that could take a URL, crawl its pages, and provide up-to-date, easy-to-use markdown.
Conversations with industry peers revealed that they were rebuilding similar infrastructure. This inspired us to create Firecrawl— a developer-friendly solution we wish we'd had from the start.
We launched a cloud offering over a weekend in April, and in just three months, we've garnered over 8,000 GitHub stars and empowered thousands of developers to transform web content into AI-ready data.
Our Solution:
Our open-source, developer-focused platform simplifies scraping & crawling for AI apps by handling:
- Bypassing JavaScript rendering
- Enriching metadata
- Crawling without consistent sitemaps
- Parallel scraping jobs
- Hosting headless browsers and managing proxies
- Bot blocking
- Formatting LLM-friendly markdown
With Firecrawl, developers at companies like Gamma, StackAI, and Zapier are delegating scraping to us so they can focus on their core tasks - be it RAG, agents, or data processing.
Now scraping a whole website and retrieving the markdown is as simple as this:
Our Asks:
- Give Firecrawl a try 🧑💻
- Explore our GitHub repository and consider leaving a star ⭐️
- Drop me a line at eric@firecrawl.com if you want to chat (we are super excited about collaborations) 🔥