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Firecrawl (GitHub Repo)

Firecrawl (GitHub Repo)

DevOps GitHub
Firecrawl now features an autonomous 'Agent' endpoint that navigates and extracts structured web data without needing predefined URLs.
What: Firecrawl, an open-source web scraping API, added an AI-powered agent capable of autonomous navigation and a new integration for MCP-compatible clients like Claude. The platform converts web content into LLM-ready formats like Markdown and JSON and supports self-hosting under an AGPL-3.0 license.
Why it matters: This signals a trend toward 'agentic' scraping, where developers shift from writing brittle URL-specific logic to providing high-level natural language intent, offloading the navigation and interaction to the scraping infrastructure.
Takeaway: If you are building AI agents that require real-time web data, test the Firecrawl agent endpoint by passing a natural language task instead of a target URL.
Deep dive
  • Agent Endpoint: Enables autonomous web browsing and data retrieval based on natural language prompts.
  • LLM Integration: Designed for direct integration with AI clients via MCP.
  • Output formats: Native support for Markdown, structured JSON, and screenshots.
  • Infrastructure: Handles proxy rotation, rate limiting, and JS-heavy rendering internally.
  • Licensing: Available as a hosted service or self-hosted under AGPL-3.0.
  • Benchmarks: Features a P95 latency of 3.4s across large-scale crawls.
  • Tooling: Provides a CLI for direct interaction and SDKs for Python and Node.js.
Decoder
  • MCP (Model Context Protocol): An open standard that allows AI assistants to connect to local and remote data sources, enabling them to execute actions or retrieve context securely.
  • AGPL-3.0: A copyleft open-source license that requires anyone who modifies and runs the software over a network to make their source code available.
Original article

🔥 Firecrawl

The API to search, scrape, and interact with the web at scale. 🔥 The web context API to find sources, extract content, and turn it into clean Markdown or structured data your agents can ship with. Open source and available as a hosted service.

Why Firecrawl?

  • Industry-leading reliability: Covers 96% of the web, including JS-heavy pages — no proxy headaches, just clean data (see benchmarks)
  • Blazingly fast: P95 latency of 3.4s across millions of pages, built for real-time agents and dynamic apps
  • LLM-ready output: Clean markdown, structured JSON, screenshots, and more — spend fewer tokens, build better AI apps
  • We handle the hard stuff: Rotating proxies, orchestration, rate limits, JS-blocked content, and more — zero configuration
  • Agent ready: Connect Firecrawl to any AI agent or MCP client with a single command
  • Media parsing: Parse and extract content from web-hosted PDFs, DOCX, and more
  • Actions: Click, scroll, write, wait, and press before extracting content
  • Open source: Developed transparently and collaboratively — join our community

Feature Overview

Core Endpoints

Feature Description
Search Search the web and get full page content from results
Scrape Convert any URL to markdown, HTML, screenshots, or structured JSON
Interact Scrape a page, then interact with it using AI prompts or code

More

Feature Description
Agent Automated data gathering, just describe what you need
Crawl Scrape all URLs of a website with a single request
Map Discover all URLs on a website instantly
Batch Scrape Scrape thousands of URLs asynchronously

Quick Start

Sign up at firecrawl.dev to get your API key. Try the playground to test it out.

Search

Search the web and get full content from results.

from firecrawl import Firecrawl

app = Firecrawl(api_key="fc-YOUR_API_KEY")

search_result = app.search("firecrawl", limit=5)

Scrape

Get LLM-ready data from any website — markdown, JSON, screenshots, and more.

from firecrawl import Firecrawl

app = Firecrawl(api_key="fc-YOUR_API_KEY")

result = app.scrape('firecrawl.dev')

Interact

Scrape a page, then interact with it using AI prompts or code.

from firecrawl import Firecrawl

app = Firecrawl(api_key="fc-YOUR_API_KEY")

result = app.scrape("https://amazon.com")
scrape_id = result.metadata.scrape_id

app.interact(scrape_id, prompt="Search for 'mechanical keyboard'")
app.interact(scrape_id, prompt="Click the first result")

Power Your Agent

Connect Firecrawl to any AI agent or MCP client in minutes.

Skill

Give your agent easy access to real-time web data with one command.

npx -y firecrawl-cli@latest init --all --browser

MCP

Connect any MCP-compatible client to the web in seconds.

{
  "mcpServers": {
    "firecrawl-mcp": {
      "command": "npx",
      "args": ["-y", "firecrawl-mcp"],
      "env": {
        "FIRECRAWL_API_KEY": "fc-YOUR_API_KEY"
      }
    }
  }
}

More Endpoints

Agent

The easiest way to get data from the web. Describe what you need, and our AI agent searches, navigates, and retrieves it. No URLs required.

Crawl

Crawl an entire website and get content from all pages.

Map

Discover all URLs on a website instantly.

Batch Scrape

Scrape multiple URLs at once.

SDKs

Our SDKs provide a convenient way to use all Firecrawl features and automatically handle polling for async operations (Python, Node.js, Java, Elixir, Rust).

Integrations

Agents & AI Tools: Firecrawl Skill, CLI Skills, Workflows, MCP.

Platforms: Lovable, Zapier, n8n.

Open Source vs Cloud

Firecrawl is open source under the AGPL-3.0 license. The cloud version at firecrawl.dev includes additional features.

License

This project is primarily licensed under the GNU Affero General Public License v3.0 (AGPL-3.0). The SDKs and some UI components are licensed under the MIT License.

It is the sole responsibility of end users to respect websites' policies when scraping. Users are advised to adhere to applicable privacy policies and terms of use. By default, Firecrawl respects robots.txt directives. By using Firecrawl, you agree to comply with these conditions.

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