🔥 Firecrawl

Empower your AI apps with clean data from any website. Featuring advanced scraping, crawling, and data extraction capabilities.

This repository is in development, and we’re still integrating custom modules into the mono repo. It's not fully ready for self-hosted deployment yet, but you can run it locally.

What is Firecrawl?

Firecrawl is an API service that takes a URL, crawls it, and converts it into clean markdown or structured data. We crawl all accessible subpages and give you clean data for each. No sitemap required. Check out our documentation.

Pst. hey, you, join our stargazers :)

How to use it?

We provide an easy to use API with our hosted version. You can find the playground and documentation here. You can also self host the backend if you'd like.

Check out the following resources to get started:

To run locally, refer to guide here.

API Key

To use the API, you need to sign up on Firecrawl and get an API key.

Crawling

Used to crawl a URL and all accessible subpages. This submits a crawl job and returns a job ID to check the status of the crawl.

curl -X POST https://api.firecrawl.dev/v1/crawl \
    -H 'Content-Type: application/json' \
    -H 'Authorization: Bearer fc-YOUR_API_KEY' \
    -d '{
      "url": "https://docs.firecrawl.dev",
      "limit": 100,
      "scrapeOptions": {
        "formats": ["markdown", "html"]
      }
    }'

Returns a crawl job id and the url to check the status of the crawl.

{
  "success": true,
  "id": "123-456-789",
  "url": "https://api.firecrawl.dev/v1/crawl/123-456-789"
}

Check Crawl Job

Used to check the status of a crawl job and get its result.

curl -X GET https://api.firecrawl.dev/v1/crawl/123-456-789 \
  -H 'Content-Type: application/json' \
  -H 'Authorization: Bearer YOUR_API_KEY'

{
  "status": "completed",
  "total": 36,
  "creditsUsed": 36,
  "expiresAt": "2024-00-00T00:00:00.000Z",
  "data": [
    {
      "markdown": "[Firecrawl Docs home page![light logo](https://mintlify.s3-us-west-1.amazonaws.com/firecrawl/logo/light.svg)!...",
      "html": "<!DOCTYPE html><html lang=\"en\" class=\"js-focus-visible lg:[--scroll-mt:9.5rem]\" data-js-focus-visible=\"\">...",
      "metadata": {
        "title": "Build a 'Chat with website' using Groq Llama 3 | Firecrawl",
        "language": "en",
        "sourceURL": "https://docs.firecrawl.dev/learn/rag-llama3",
        "description": "Learn how to use Firecrawl, Groq Llama 3, and Langchain to build a 'Chat with your website' bot.",
        "ogLocaleAlternate": [],
        "statusCode": 200
      }
    }
  ]
}

Scraping

Used to scrape a URL and get its content in the specified formats.

curl -X POST https://api.firecrawl.dev/v1/scrape \
    -H 'Content-Type: application/json' \
    -H 'Authorization: Bearer YOUR_API_KEY' \
    -d '{
      "url": "https://docs.firecrawl.dev",
      "formats" : ["markdown", "html"]
    }'

Response:

{
  "success": true,
  "data": {
    "markdown": "Launch Week I is here! [See our Day 2 Release 🚀](https://www.firecrawl.dev/blog/launch-week-i-day-2-doubled-rate-limits)[💥 Get 2 months free...",
    "html": "<!DOCTYPE html><html lang=\"en\" class=\"light\" style=\"color-scheme: light;\"><body class=\"__variable_36bd41 __variable_d7dc5d font-inter ...",
    "metadata": {
      "title": "Home - Firecrawl",
      "description": "Firecrawl crawls and converts any website into clean markdown.",
      "language": "en",
      "keywords": "Firecrawl,Markdown,Data,Mendable,Langchain",
      "robots": "follow, index",
      "ogTitle": "Firecrawl",
      "ogDescription": "Turn any website into LLM-ready data.",
      "ogUrl": "https://www.firecrawl.dev/",
      "ogImage": "https://www.firecrawl.dev/og.png?123",
      "ogLocaleAlternate": [],
      "ogSiteName": "Firecrawl",
      "sourceURL": "https://firecrawl.dev",
      "statusCode": 200
    }
  }
}

Map (Alpha)

Used to map a URL and get urls of the website. This returns most links present on the website.

curl -X POST https://api.firecrawl.dev/v1/map \
    -H 'Content-Type: application/json' \
    -H 'Authorization: Bearer YOUR_API_KEY' \
    -d '{
      "url": "https://firecrawl.dev"
    }'

Response:

{
  "status": "success",
  "links": [
    "https://firecrawl.dev",
    "https://www.firecrawl.dev/pricing",
    "https://www.firecrawl.dev/blog",
    "https://www.firecrawl.dev/playground",
    "https://www.firecrawl.dev/smart-crawl",
  ]
}

Map with search

Map with search param allows you to search for specific urls inside a website.

curl -X POST https://api.firecrawl.dev/v1/map \
    -H 'Content-Type: application/json' \
    -H 'Authorization: Bearer YOUR_API_KEY' \
    -d '{
      "url": "https://firecrawl.dev",
      "search": "docs"
    }'

Response will be an ordered list from the most relevant to the least relevant.

{
  "status": "success",
  "links": [
    "https://docs.firecrawl.dev",
    "https://docs.firecrawl.dev/sdks/python",
    "https://docs.firecrawl.dev/learn/rag-llama3",
  ]
}

LLM Extraction (Beta)

Used to extract structured data from scraped pages.

curl -X POST https://api.firecrawl.dev/v1/scrape \
    -H 'Content-Type: application/json' \
    -H 'Authorization: Bearer YOUR_API_KEY' \
    -d '{
      "url": "https://www.mendable.ai/",
      "formats": ["extract"],
      "extract": {
        "schema": {
          "type": "object",
          "properties": {
            "company_mission": {
                      "type": "string"
            },
            "supports_sso": {
                      "type": "boolean"
            },
            "is_open_source": {
                      "type": "boolean"
            },
            "is_in_yc": {
                      "type": "boolean"
            }
          },
          "required": [
            "company_mission",
            "supports_sso",
            "is_open_source",
            "is_in_yc"
          ]
        }
      }
    }'

{
  "success": true,
  "data": {
    "content": "Raw Content",
    "metadata": {
      "title": "Mendable",
      "description": "Mendable allows you to easily build AI chat applications. Ingest, customize, then deploy with one line of code anywhere you want. Brought to you by SideGuide",
      "robots": "follow, index",
      "ogTitle": "Mendable",
      "ogDescription": "Mendable allows you to easily build AI chat applications. Ingest, customize, then deploy with one line of code anywhere you want. Brought to you by SideGuide",
      "ogUrl": "https://mendable.ai/",
      "ogImage": "https://mendable.ai/mendable_new_og1.png",
      "ogLocaleAlternate": [],
      "ogSiteName": "Mendable",
      "sourceURL": "https://mendable.ai/"
    },
    "llm_extraction": {
      "company_mission": "Train a secure AI on your technical resources that answers customer and employee questions so your team doesn't have to",
      "supports_sso": true,
      "is_open_source": false,
      "is_in_yc": true
    }
  }
}

Extracting without a schema (New)

You can now extract without a schema by just passing a prompt to the endpoint. The llm chooses the structure of the data.

curl -X POST https://api.firecrawl.dev/v1/scrape \
    -H 'Content-Type: application/json' \
    -H 'Authorization: Bearer YOUR_API_KEY' \
    -d '{
      "url": "https://docs.firecrawl.dev/",
      "formats": ["extract"],
      "extract": {
        "prompt": "Extract the company mission from the page."
      }
    }'

Intracting with the page with Actions (Cloud-only)

Firecrawl allows you to perform various actions on a web page before scraping its content. This is particularly useful for interacting with dynamic content, navigating through pages, or accessing content that requires user interaction.

Here is an example of how to use actions to navigate to google.com, search for Firecrawl, click on the first result, and take a screenshot.

curl -X POST https://api.firecrawl.dev/v1/scrape \
    -H 'Content-Type: application/json' \
    -H 'Authorization: Bearer YOUR_API_KEY' \
    -d '{
        "url": "google.com",
        "formats": ["markdown"],
        "actions": [
            {"type": "wait", "milliseconds": 2000},
            {"type": "click", "selector": "textarea[title=\"Search\"]"},
            {"type": "wait", "milliseconds": 2000},
            {"type": "write", "text": "firecrawl"},
            {"type": "wait", "milliseconds": 2000},
            {"type": "press", "key": "ENTER"},
            {"type": "wait", "milliseconds": 3000},
            {"type": "click", "selector": "h3"},
            {"type": "wait", "milliseconds": 3000},
            {"type": "screenshot"}
        ]
    }'

Search (v0) (Beta)

Used to search the web, get the most relevant results, scrape each page and return the markdown.

curl -X POST https://api.firecrawl.dev/v0/search \
    -H 'Content-Type: application/json' \
    -H 'Authorization: Bearer YOUR_API_KEY' \
    -d '{
      "query": "firecrawl",
      "pageOptions": {
        "fetchPageContent": true // false for a fast serp api
      }
    }'

{
  "success": true,
  "data": [
    {
      "url": "https://mendable.ai",
      "markdown": "# Markdown Content",
      "provider": "web-scraper",
      "metadata": {
        "title": "Mendable | AI for CX and Sales",
        "description": "AI for CX and Sales",
        "language": null,
        "sourceURL": "https://www.mendable.ai/"
      }
    }
  ]
}

Using Python SDK

Installing Python SDK

pip install firecrawl-py

Crawl a website

from firecrawl.firecrawl import FirecrawlApp

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

# Scrape a website:
scrape_status = app.scrape_url(
  'https://firecrawl.dev', 
  params={'formats': ['markdown', 'html']}
)
print(scrape_status)

# Crawl a website:
crawl_status = app.crawl_url(
  'https://firecrawl.dev', 
  params={
    'limit': 100, 
    'scrapeOptions': {'formats': ['markdown', 'html']}
  },
  poll_interval=30
)
print(crawl_status)

Extracting structured data from a URL

With LLM extraction, you can easily extract structured data from any URL. We support pydantic schemas to make it easier for you too. Here is how you to use it:

from firecrawl.firecrawl import FirecrawlApp

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

class ArticleSchema(BaseModel):
    title: str
    points: int
    by: str
    commentsURL: str

class TopArticlesSchema(BaseModel):
    top: List[ArticleSchema] = Field(..., max_items=5, description="Top 5 stories")

data = app.scrape_url('https://news.ycombinator.com', {
    'formats': ['extract'],
    'extract': {
        'schema': TopArticlesSchema.model_json_schema()
    }
})
print(data["extract"])

Using the Node SDK

Installation

To install the Firecrawl Node SDK, you can use npm:

npm install @mendable/firecrawl-js

Usage

Get an API key from firecrawl.dev
Set the API key as an environment variable named FIRECRAWL_API_KEY or pass it as a parameter to the FirecrawlApp class.

import FirecrawlApp, { CrawlParams, CrawlStatusResponse } from '@mendable/firecrawl-js';

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

// Scrape a website
const scrapeResponse = await app.scrapeUrl('https://firecrawl.dev', {
  formats: ['markdown', 'html'],
});

if (scrapeResponse) {
  console.log(scrapeResponse)
}

// Crawl a website
const crawlResponse = await app.crawlUrl('https://firecrawl.dev', {
  limit: 100,
  scrapeOptions: {
    formats: ['markdown', 'html'],
  }
} as CrawlParams, true, 30) as CrawlStatusResponse;

if (crawlResponse) {
  console.log(crawlResponse)
}

Extracting structured data from a URL

With LLM extraction, you can easily extract structured data from any URL. We support zod schema to make it easier for you too. Here is how you to use it:

import FirecrawlApp from "@mendable/firecrawl-js";
import { z } from "zod";

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

// Define schema to extract contents into
const schema = z.object({
  top: z
    .array(
      z.object({
        title: z.string(),
        points: z.number(),
        by: z.string(),
        commentsURL: z.string(),
      })
    )
    .length(5)
    .describe("Top 5 stories on Hacker News"),
});

const scrapeResult = await app.scrapeUrl("https://news.ycombinator.com", {
  extractorOptions: { extractionSchema: schema },
});

console.log(scrapeResult.data["llm_extraction"]);

Open Source vs Cloud Offering

Firecrawl is open source available under the AGPL-3.0 license.

To deliver the best possible product, we offer a hosted version of Firecrawl alongside our open-source offering. The cloud solution allows us to continuously innovate and maintain a high-quality, sustainable service for all users.

Firecrawl Cloud is available at firecrawl.dev and offers a range of features that are not available in the open source version:

Contributing

We love contributions! Please read our contributing guide before submitting a pull request. If you'd like to self-host, refer to the self-hosting guide.

It is the sole responsibility of the end users to respect websites' policies when scraping, searching and crawling with Firecrawl. Users are advised to adhere to the applicable privacy policies and terms of use of the websites prior to initiating any scraping activities. By default, Firecrawl respects the directives specified in the websites' robots.txt files when crawling. By utilizing Firecrawl, you expressly agree to comply with these conditions.

License Disclaimer

This project is primarily licensed under the GNU Affero General Public License v3.0 (AGPL-3.0), as specified in the LICENSE file in the root directory of this repository. However, certain components of this project are licensed under the MIT License. Refer to the LICENSE files in these specific directories for details.

Please note:

The AGPL-3.0 license applies to all parts of the project unless otherwise specified.
The SDKs and some UI components are licensed under the MIT License. Refer to the LICENSE files in these specific directories for details.
When using or contributing to this project, ensure you comply with the appropriate license terms for the specific component you are working with.

For more details on the licensing of specific components, please refer to the LICENSE files in the respective directories or contact the project maintainers.

karbon0x/firecrawl

🔥 Firecrawl

What is Firecrawl?

How to use it?

API Key

Crawling

Check Crawl Job

Scraping

Map (Alpha)

Map with search

LLM Extraction (Beta)

Extracting without a schema (New)

Intracting with the page with Actions (Cloud-only)

Search (v0) (Beta)

Using Python SDK

Installing Python SDK

Crawl a website

Extracting structured data from a URL

Using the Node SDK

Installation

Usage

Extracting structured data from a URL

Open Source vs Cloud Offering

Contributing

License Disclaimer