Firecrawl is an open-source API designed to crawl websites and convert entire domains into clean, LLM-ready Markdown or structured data. It simplifies data ingestion for AI agents and Retrieval-Augmented Generation (RAG) pipelines by automating the extraction of web content while handling complex technical barriers.

• Converts raw HTML into formatted Markdown, removing non-essential elements like headers and footers to optimize token consumption.

• Executes JavaScript-heavy pages using headless browser management to capture dynamic content accurately.

• Implements a Map endpoint to discover all subpages of a domain without requiring a pre-existing sitemap.

• Manages proxy rotation and anti-bot bypass mechanisms to ensure high success rates during large-scale data extraction.

• Available as a hosted API or a self-hosted Docker container for full data sovereignty.

• Provides official SDKs for Python and TypeScript with native support for LangChain and LlamaIndex.

• Building vector databases for RAG applications by ingesting technical documentation.

• Automating market research for AI agents that require real-time web data.

Access the Firecrawl API or deploy the repository locally to begin extracting structured web data for your LLM applications.