Firecrawl
The web data API to search, scrape, and interact with the web at scale, turning websites L
Firecrawl is a web data API that turns websites into clean, structured data for large language models and AI agents. It solves the problem of extracting usable information from the live web, which is often messy, dynamic, and built for human consumption rather than machine processing. The API handles JavaScript rendering, smart waiting for content to load, and media parsing, converting pages into formats like Markdown and JSON.
Its core capabilities include Search, which returns full page content from web results; Scrape, which converts any URL into structured data; and Interact, which allows AI agents to click, scroll, fill forms, and navigate dynamic pages. Additional modules cover crawling, document parsing (PDFs, DOCX), and web monitoring. The platform offers SDKs for Python and Node.js, integrates with MCP clients, and is open source on GitHub. It also provides Alexandria, a knowledge library indexing over 113 million sources from official providers and specialized indexes.
Firecrawl is designed for developers and teams building AI-native applications, such as deep research agents, RAG pipelines, lead enrichment tools, and smarter AI chats. It offers a free plan with 1,000 credits per month, no credit card required. Paid plans start with Hobby at 5,000 credits per month, scaling through Standard, Growth, and Scale tiers, with Enterprise available for custom needs. Credits are shared across all endpoints, with usage-based billing for additional consumption.
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