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https://github.com/mendableai/firecrawl

🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
https://github.com/mendableai/firecrawl

ai ai-scraping crawler data html-to-markdown llm markdown rag scraper scraping web-crawler webscraping

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🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

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# 🔥 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](https://firecrawl.dev?ref=github) 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](https://docs.firecrawl.dev).

_Pst. hey, you, join our stargazers :)_


GitHub stars

## How to use it?

We provide an easy to use API with our hosted version. You can find the playground and documentation [here](https://firecrawl.dev/playground). You can also self host the backend if you'd like.

Check out the following resources to get started:
- [x] **API**: [Documentation](https://docs.firecrawl.dev/api-reference/introduction)
- [x] **SDKs**: [Python](https://docs.firecrawl.dev/sdks/python), [Node](https://docs.firecrawl.dev/sdks/node), [Go](https://docs.firecrawl.dev/sdks/go), [Rust](https://docs.firecrawl.dev/sdks/rust)
- [x] **LLM Frameworks**: [Langchain (python)](https://python.langchain.com/docs/integrations/document_loaders/firecrawl/), [Langchain (js)](https://js.langchain.com/docs/integrations/document_loaders/web_loaders/firecrawl), [Llama Index](https://docs.llamaindex.ai/en/latest/examples/data_connectors/WebPageDemo/#using-firecrawl-reader), [Crew.ai](https://docs.crewai.com/), [Composio](https://composio.dev/tools/firecrawl/all), [PraisonAI](https://docs.praison.ai/firecrawl/), [Superinterface](https://superinterface.ai/docs/assistants/functions/firecrawl), [Vectorize](https://docs.vectorize.io/integrations/source-connectors/firecrawl)
- [x] **Low-code Frameworks**: [Dify](https://dify.ai/blog/dify-ai-blog-integrated-with-firecrawl), [Langflow](https://docs.langflow.org/), [Flowise AI](https://docs.flowiseai.com/integrations/langchain/document-loaders/firecrawl), [Cargo](https://docs.getcargo.io/integration/firecrawl), [Pipedream](https://pipedream.com/apps/firecrawl/)
- [x] **Others**: [Zapier](https://zapier.com/apps/firecrawl/integrations), [Pabbly Connect](https://www.pabbly.com/connect/integrations/firecrawl/)
- [ ] Want an SDK or Integration? Let us know by opening an issue.

To run locally, refer to guide [here](https://github.com/mendableai/firecrawl/blob/main/CONTRIBUTING.md).

### API Key

To use the API, you need to sign up on [Firecrawl](https://firecrawl.dev) and get an API key.

### Features

- [**Scrape**](#scraping): scrapes a URL and get its content in LLM-ready format (markdown, structured data via [LLM Extract](#llm-extraction-beta), screenshot, html)
- [**Crawl**](#crawling): scrapes all the URLs of a web page and return content in LLM-ready format
- [**Map**](#map-alpha): input a website and get all the website urls - extremely fast

### Powerful Capabilities
- **LLM-ready formats**: markdown, structured data, screenshot, HTML, links, metadata
- **The hard stuff**: proxies, anti-bot mechanisms, dynamic content (js-rendered), output parsing, orchestration
- **Customizability**: exclude tags, crawl behind auth walls with custom headers, max crawl depth, etc...
- **Media parsing**: pdfs, docx, images
- **Reliability first**: designed to get the data you need - no matter how hard it is
- **Actions**: click, scroll, input, wait and more before extracting data
- **Batching (New)**: scrape thousands of URLs at the same time with a new async endpoint.

You can find all of Firecrawl's capabilities and how to use them in our [documentation](https://docs.firecrawl.dev)

### 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.

```bash
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.

```json
{
"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.

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

```json
{
"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": "...",
"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.

```bash
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:

```json
{
"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": "
contributors

## 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.



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