Firecrawl AI

Extracts LLM-ready data from websites, supporting formats like Markdown, JSON, and screenshots.

Enables searching the web and retrieving full content from search results.

Systematically crawls all pages on a website to collect structured data.

Parses and extracts content from various web-hosted document types, including PDFs and DOCX files.

Reliably scrapes 96% of the web, including JavaScript-heavy and protected pages, without proxy management.

Delivers scraping results in less than 1 second, optimized for real-time AI agents and dynamic applications.

Intelligently waits for dynamic content to load, ensuring complete and reliable data extraction.

Mimics real user behavior to bypass blocking mechanisms and access protected or dynamic web content.

Allows performing interactive actions like clicks, scrolls, and typing before content extraction.

Provides options for selective caching of web content, optimizing performance and resource usage.

Handles complex scraping challenges like rotating proxies, rate limits, and JS-blocked content automatically.

Offers SDKs for Python and Node.js, along with Curl access for easy integration into developer workflows.

Powers AI assistants with real-time, accurate web content for smarter, context-aware conversations.

Enhances sales data by extracting relevant web information for comprehensive lead qualification.

Enables building AI applications with web data, allowing customers to leverage scraped content.

Facilitates comprehensive information extraction for in-depth academic or market research.