Verified project record

firecrawl/firecrawl

Firecrawl provides an API to search, scrape, crawl, and interact with web content at scale, returning clean Markdown, HTML, screenshots, or structured JSON. It operates through a hosted API and handles rotating proxies, orchestration, and rate limits for AI data pipelines.

Project overview

This project addresses the need for reliable web-to-Markdown conversion and large-scale crawling by managing proxies and rate limits out of the box.

Project type: AI Agent · AI Search · Data Processing
Use cases: Search & Research · Automation
Deployment: Refer to project documentation
License: AGPL-3.0

Best for

Developers and AI engineers building deep-research, AI-search, or browser-automation pipelines who need structured web data via a hosted API.

Key capabilities

Search the web and get full page content from results.
Convert any URL to markdown, HTML, screenshots, or structured JSON.
Scrape a page, then interact with it using AI prompts or code to click, scroll, write, wait, and press before extracting content.
Describe what data you need and the agent autonomously searches, navigates, and retrieves it without requiring URLs.
Scrape all URLs of a website with a single request.
Discover all URLs on a website.
Scrape thousands of URLs asynchronously.
Parse and extract content from web-hosted PDFs, DOCX, and more.

Limitations and risks

Requires a Firecrawl API key to operate.
Operation requires external services (Firecrawl Hosted API). GPU requirements and telemetry are not documented.
Operation requires a paid service.
End users are solely responsible for respecting websites' policies when scraping.

Getting started

Sign up at firecrawl.dev to get an API key, install the Python or Node.js SDK, and run a scrape or search command.
Coding is optional for usage; the project can be accessed via CLI or SDKs.

Alternatives and comparisons

Structured data gathering from any website using AI-powered scraper, crawler, and browser automation.
Schema linking for text-to-SQL becomes a bottleneck when systems must select the correct database and ground relevant tables and columns across large, redundant multi-database schemas.

Project comparisons

Evidence and sources

GitHub project description: The API to search, scrape, and interact with the web at scale. 🔥
README: The web context API to find sources, extract content, and turn it into clean Markdown or structured data your agents can ship with.
README: Firecrawl helps AI systems search, scrape, and interact with the web.
README: We handle the hard stuff: Rotating proxies, orchestration, rate limits, JS-blocked content, and more — zero configuration
README: Search the web and get full page content from results

Source updated at: 2026-07-15T18:05:28Z

Open original GitHub project