10 GITHUB REPOS THAT SCRAPE THE ENTIRE INTERNET FOR YOU

Bookmark every single one. Each one pulls clean data off any website on earth, the kind of access companies sell behind a sales call and a contract.

1. http://github.com/mendableai/firecrawl…

Point it at any website and it crawls every page, renders the JavaScript, and hands back clean structured data an AI can read instantly. It crossed 130K stars and landed in GitHub’s top 100 repos. The scraping backbone half the AI startups quietly run on, open for anyone.

2. http://github.com/unclecode/crawl4ai…

The #1 trending crawler on GitHub. Turns any site into clean, LLM-ready markdown, faster than the paid services and with no API key, no account, no per-page fee. A dev built it in days after getting fed up paying $16 for a gated scraper. 51K stars. Apache 2.0.

3. http://github.com/browser-use/browser-use…

An AI agent that drives a real browser like a human, clicking, scrolling, logging in, filling forms, and pulling data off sites it has never seen before. Two ETH Zurich researchers built it and it hit 95K stars in about a year. The thing that scrapes pages no simple crawler can reach. MIT.

4. http://github.com/apify/crawlee

The full professional scraping framework, with rotating proxies, automatic retries, browser fingerprint spoofing, and queue management, all the machinery that keeps you from getting blocked. The exact stack scraping companies charge thousands to operate, handed to you for free.

5. http://github.com/scrapy/scrapy

The original industrial-strength scraper that has quietly powered data teams for over a decade. Crawl millions of pages, extract anything, export it clean. Battle-tested at a scale most paid tools never reach, and free the entire time.

6. http://github.com/microsoft/markitdown…

Microsoft’s own tool that converts any file or web page, PDFs, Office docs, HTML, images, into clean markdown an AI can actually use. The messy-data-to-clean-data step companies build whole pipelines around, open-sourced by Microsoft itself.

7. http://github.com/D4Vinci/Scrapling…

A stealth scraper built to stay invisible, adapting automatically when a site changes its layout and slipping past the bot detection that stops everything else. The cat-and-mouse layer that anti-scraping vendors sell as a premium feature, free and open.

8. http://github.com/Genymobile/scrcpy…

Mirror and control any Android phone from your computer to pull data and automate apps that have no website at all. The bridge into mobile-only platforms that most scrapers can’t touch. 130K+ stars. Apache 2.0.

9. http://github.com/alirezamika/autoscraper…

Show it one example of what you want and it figures out the pattern and scrapes the rest of the site automatically. No selectors, no code to maintain. The “just get me this data” button, in a few lines of Python.

10. http://github.com/lwthiker/curl-impersonate…

A version of curl that perfectly mimics a real browser’s fingerprint, so the requests sneaking past every defense look exactly like a human with Chrome open. The lowest-level trick the expensive scraping APIs are quietly built on top of.

Companies sell this access for $2,000 a month. The source code is right here.

firecrawl/firecrawl

Source: https://github.com/firecrawl/firecrawl

🔥 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.

Pst. Hey, you, join our stargazers :)

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

More

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)

import { Firecrawl } from 'firecrawl';

const app = new Firecrawl({apiKey: "fc-YOUR_API_KEY"});

app.search("firecrawl", { limit: 5 })

curl -X POST 'https://api.firecrawl.dev/v2/search' \
-H 'Authorization: Bearer fc-YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
  "query": "firecrawl",
  "limit": 5
}'

firecrawl search "firecrawl" --limit 5

Output:

[
  {
    "url": "https://firecrawl.dev",
    "title": "Firecrawl",
    "markdown": "Turn websites into..."
  },
  {
    "url": "https://docs.firecrawl.dev",
    "title": "Firecrawl Docs",
    "markdown": "# Getting Started..."
  }
]

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')

import { Firecrawl } from 'firecrawl';

const app = new Firecrawl({ apiKey: "fc-YOUR_API_KEY" });

app.scrape('firecrawl.dev')

curl -X POST 'https://api.firecrawl.dev/v2/scrape' \
-H 'Authorization: Bearer fc-YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
  "url": "firecrawl.dev"
}'

firecrawl scrape https://firecrawl.dev
firecrawl https://firecrawl.dev --only-main-content

Output:

# Firecrawl

Firecrawl helps AI systems search, scrape, and interact with the web.

## Features
- Search: Find information across the web
- Scrape: Clean data from any page
- Interact: Click, navigate, and operate pages
- Agent: Autonomous data gathering

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")

import { Firecrawl } from 'firecrawl';

const app = new Firecrawl({apiKey: "fc-YOUR_API_KEY"});

const result = await app.scrape("https://amazon.com");

await app.interact(result.metadata.scrapeId, {
  prompt: "Search for 'mechanical keyboard'"
});
await app.interact(result.metadata.scrapeId, {
  prompt: "Click the first result"
});

# 1. Scrape the page
curl -X POST 'https://api.firecrawl.dev/v2/scrape' \
-H 'Authorization: Bearer fc-YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{"url": "https://amazon.com"}'

# 2. Interact with the page (use scrapeId from step 1)
curl -X POST 'https://api.firecrawl.dev/v2/scrape/SCRAPE_ID/interact' \
-H 'Authorization: Bearer fc-YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{"prompt": "Search for mechanical keyboard"}'

firecrawl scrape https://amazon.com
firecrawl interact exec --prompt "Search for 'mechanical keyboard'"
firecrawl interact exec --prompt "Click the first result"

Output:

{
  "success": true,
  "output": "Keyboard available at $100",
  "liveViewUrl": "https://liveview.firecrawl.dev/..."
}

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

Restart your agent after installing. Works with Claude Code, Antigravity, OpenCode, and more.

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"
      }
    }
  }
}

Agent Onboarding

Are you an AI agent? Fetch this skill to sign up your user, get an API key, and start building with Firecrawl.

curl -s https://firecrawl.dev/agent-onboarding/SKILL.md

See the Skill + CLI documentation for all available commands. For MCP, see firecrawl-mcp-server.

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.

Agent is the evolution of our /extract endpoint: faster, more reliable, and doesn’t require you to know the URLs upfront.

curl -X POST 'https://api.firecrawl.dev/v2/agent' \
  -H 'Authorization: Bearer fc-YOUR_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
    "prompt": "Find the pricing plans for Notion"
  }'

Response:

{
  "success": true,
  "data": {
    "result": "Notion offers the following pricing plans:\n\n1. Free - $0/month...\n2. Plus - $10/seat/month...\n3. Business - $18/seat/month...",
    "sources": ["https://www.notion.so/pricing"]
  }
}

Agent with Structured Output

Use a schema to get structured data:

from firecrawl import Firecrawl
from pydantic import BaseModel, Field
from typing import List, Optional

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

class Founder(BaseModel):
    name: str = Field(description="Full name of the founder")
    role: Optional[str] = Field(None, description="Role or position")

class FoundersSchema(BaseModel):
    founders: List[Founder] = Field(description="List of founders")

result = app.agent(
    prompt="Find the founders of Firecrawl",
    schema=FoundersSchema
)

print(result.data)

{
  "founders": [
    {"name": "Eric Ciarla", "role": "Co-founder"},
    {"name": "Nicolas Camara", "role": "Co-founder"},
    {"name": "Caleb Peffer", "role": "Co-founder"}
  ]
}

Agent with URLs (Optional)

Focus the agent on specific pages:

result = app.agent(
    urls=["https://docs.firecrawl.dev", "https://firecrawl.dev/pricing"],
    prompt="Compare the features and pricing information"
)

Model Selection

Choose between two models based on your needs:

result = app.agent(
    prompt="Compare enterprise features across Firecrawl, Apify, and ScrapingBee",
    model="spark-1-pro"
)

When to use Pro:

• Comparing data across multiple websites
• Extracting from sites with complex navigation or auth
• Research tasks where the agent needs to explore multiple paths
• Critical data where accuracy is paramount

Learn more about Spark models in our Agent documentation.

Crawl

Crawl an entire website and get content from all pages.

curl -X POST 'https://api.firecrawl.dev/v2/crawl' \
  -H 'Authorization: Bearer fc-YOUR_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
    "url": "https://docs.firecrawl.dev",
    "limit": 100,
    "scrapeOptions": {
      "formats": ["markdown"]
    }
  }'

Returns a job ID:

{
  "success": true,
  "id": "123-456-789",
  "url": "https://api.firecrawl.dev/v2/crawl/123-456-789"
}

Check Crawl Status

curl -X GET 'https://api.firecrawl.dev/v2/crawl/123-456-789' \
  -H 'Authorization: Bearer fc-YOUR_API_KEY'

{
  "status": "completed",
  "total": 50,
  "completed": 50,
  "creditsUsed": 50,
  "data": [
    {
      "markdown": "# Page Title\n\nContent...",
      "metadata": {"title": "Page Title", "sourceURL": "https://..."}
    }
  ]
}

Note: The SDKs handle polling automatically for a better developer experience.

Map

Discover all URLs on a website instantly.

curl -X POST 'https://api.firecrawl.dev/v2/map' \
  -H 'Authorization: Bearer fc-YOUR_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{"url": "https://firecrawl.dev"}'

Response:

{
  "success": true,
  "links": [
    {"url": "https://firecrawl.dev", "title": "Firecrawl", "description": "Turn websites into LLM-ready data"},
    {"url": "https://firecrawl.dev/pricing", "title": "Pricing", "description": "Firecrawl pricing plans"},
    {"url": "https://firecrawl.dev/blog", "title": "Blog", "description": "Firecrawl blog"}
  ]
}

Map with Search

Find specific URLs within a site:

from firecrawl import Firecrawl

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

result = app.map("https://firecrawl.dev", search="pricing")
# Returns URLs ordered by relevance to "pricing"

Batch Scrape

Scrape multiple URLs at once:

from firecrawl import Firecrawl

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

job = app.batch_scrape([
    "https://firecrawl.dev",
    "https://docs.firecrawl.dev",
    "https://firecrawl.dev/pricing"
], formats=["markdown"])

for doc in job.data:
    print(doc.metadata.source_url)

SDKs

Our SDKs provide a convenient way to use all Firecrawl features and automatically handle polling for async operations.

Python

Install the SDK:

pip install firecrawl-py

from firecrawl import Firecrawl

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

# Scrape a single URL
doc = app.scrape("https://firecrawl.dev", formats=["markdown"])
print(doc.markdown)

# Use the Agent for autonomous data gathering
result = app.agent(prompt="Find the founders of Stripe")
print(result.data)

# Crawl a website (automatically waits for completion)
docs = app.crawl("https://docs.firecrawl.dev", limit=50)
for doc in docs.data:
    print(doc.metadata.source_url, doc.markdown[:100])

# Search the web
results = app.search("best AI data tools 2024", limit=10)
print(results)

Node.js

Install the SDK:

npm install firecrawl

import { Firecrawl } from 'firecrawl';

const app = new Firecrawl({ apiKey: 'fc-YOUR_API_KEY' });

// Scrape a single URL
const doc = await app.scrape('https://firecrawl.dev', { formats: ['markdown'] });
console.log(doc.markdown);

// Use the Agent for autonomous data gathering
const result = await app.agent({ prompt: 'Find the founders of Stripe' });
console.log(result.data);

// Crawl a website (automatically waits for completion)
const docs = await app.crawl('https://docs.firecrawl.dev', { limit: 50 });
docs.data.forEach(doc => {
    console.log(doc.metadata.sourceURL, doc.markdown.substring(0, 100));
});

// Search the web
const results = await app.search('best AI data tools 2024', { limit: 10 });
results.data.web.forEach(result => {
    console.log(`${result.title}: ${result.url}`);
});

Java

Add the dependency (Gradle/Maven):

repositories {
    mavenCentral()
    maven { url 'https://jitpack.io' }
}

dependencies {
    implementation 'com.github.firecrawl:firecrawl-java-sdk:2.0'
}

import dev.firecrawl.client.FirecrawlClient;
import dev.firecrawl.model.*;

FirecrawlClient client = new FirecrawlClient(
    System.getenv("FIRECRAWL_API_KEY"), null, null
);

// Scrape a single URL
ScrapeParams scrapeParams = new ScrapeParams();
scrapeParams.setFormats(new String[]{"markdown"});
FirecrawlDocument doc = client.scrapeURL("https://firecrawl.dev", scrapeParams);
System.out.println(doc.getMarkdown());

// Use the Agent for autonomous data gathering
AgentParams agentParams = new AgentParams("Find the founders of Stripe");
AgentResponse start = client.createAgent(agentParams);
AgentStatusResponse result = client.getAgentStatus(start.getId());
System.out.println(result.getData());

// Crawl a website (polls until completion)
CrawlParams crawlParams = new CrawlParams();
crawlParams.setLimit(50);
CrawlStatusResponse job = client.crawlURL("https://docs.firecrawl.dev", crawlParams, null, 10);
for (FirecrawlDocument page : job.getData()) {
    System.out.println(page.getMetadata().get("sourceURL"));
}

// Search the web
SearchParams searchParams = new SearchParams("best AI data tools 2024");
searchParams.setLimit(10);
SearchResponse results = client.search(searchParams);
for (SearchResult r : results.getResults()) {
    System.out.println(r.getTitle() + ": " + r.getUrl());
}

Elixir

Add the dependency:

def deps do
  [
    {:firecrawl, "~> 1.0"}
  ]
end

# Scrape a URL
{:ok, response} = Firecrawl.scrape_and_extract_from_url(
  url: "https://firecrawl.dev",
  formats: ["markdown"]
)

# Crawl a website
{:ok, response} = Firecrawl.crawl_urls(
  url: "https://docs.firecrawl.dev",
  limit: 50
)

# Search the web
{:ok, response} = Firecrawl.search_and_scrape(
  query: "best AI data tools 2024",
  limit: 10
)

# Map URLs
{:ok, response} = Firecrawl.map_urls(url: "https://example.com")

Rust

Add the dependency:

[dependencies]
firecrawl = "2"
tokio = { version = "1", features = ["macros", "rt-multi-thread"] }

use firecrawl::{Client, ScrapeOptions, Format, CrawlOptions};

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = Client::new("fc-YOUR_API_KEY")?;

    // Scrape a URL
    let document = client.scrape("https://firecrawl.dev", None).await?;
    println!("{:?}", document.markdown);

    // Crawl a website
    let options = CrawlOptions {
        limit: Some(50),
        ..Default::default()
    };
    let result = client.crawl("https://docs.firecrawl.dev", options).await?;
    println!("Crawled {} pages", result.data.len());

    // Search the web
    let response = client.search("best web scraping tools 2024", None).await?;
    println!("{:?}", response.data);

    Ok(())
}

Community SDKs

• Go SDK

Integrations

Agents & AI Tools

• Firecrawl Skill
• Firecrawl CLI Skills
• Firecrawl Workflows
• Firecrawl MCP

Platforms

• Lovable
• Zapier
• n8n

View all integrations →

Missing your favorite tool? Open an issue and let us know!

Resources

• Documentation
• API Reference
• Playground
• Changelog

Open Source vs Cloud

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

To run locally, see the Contributing Guide. To self-host, see Self-Hosting Guide.

Contributing

We love contributions! Please read our Contributing Guide before submitting a pull request.

Contributors

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. See the LICENSE files in specific directories for details.

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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