Web Retrieval Layer

An API-first web retrieval layer that bypasses reverse proxies and dynamic JavaScript to deliver clean Markdown directly to LLMs.

The Web Retrieval Layer acts as the dedicated data-gathering engine for modern AI systems, solving the persistent headache of scraping and structuring the live web. By abstracting away complex tasks like proxy rotation, headless browser orchestration, and CAPTCHA bypasses, it converts raw, dynamic HTML into clean, LLM-ready Markdown or structured JSON in under 4 seconds. This layer sits directly between your autonomous agents and the open web, ensuring your retrieval-augmented generation (RAG) pipelines are fueled by accurate, real-time web context without the engineering overhead of building custom scrapers.

https://github.com/firecrawl/firecrawl