Crawl and convert any website into LLM-ready markdown. Build by Mendable.ai
This repository is currently in its early stages of development. We are in the process of merging custom modules into this mono repository. The primary objective is to enhance the accuracy of LLM responses by utilizing clean data. It is not ready for full self-host yet - we're working on it
Firecrawl is an API service that takes a URL, crawls it, and converts it into clean markdown. We crawl all accessible subpages and give you clean markdown for each. No sitemap required.
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.
- API
- Python SDK
- Node SDK
- Langchain Integration 🦜🔗
- Llama Index Integration 🦙
- LangchainJS - Coming Soon
Self-host. To self-host refer to guide here.
To use the API, you need to sign up on Firecrawl and get an API key.
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/v0/crawl \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer YOUR_API_KEY' \
-d '{
"url": "https://mendable.ai"
}'
Returns a jobId
{ "jobId": "1234-5678-9101" }
Used to check the status of a crawl job and get its result.
curl -X GET https://api.firecrawl.dev/v0/crawl/status/1234-5678-9101 \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer YOUR_API_KEY'
{
"status": "completed",
"current": 22,
"total": 22,
"data": [
{
"content": "Raw Content ",
"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/",
}
}
]
}
pip install firecrawl-py
from firecrawl import FirecrawlApp
app = FirecrawlApp(api_key="YOUR_API_KEY")
crawl_result = app.crawl_url('mendable.ai', {'crawlerOptions': {'excludes': ['blog/*']}})
# Get the markdown
for result in crawl_result:
print(result['markdown'])
To scrape a single URL, use the scrape_url
method. It takes the URL as a parameter and returns the scraped data as a dictionary.
url = 'https://example.com'
scraped_data = app.scrape_url(url)
We love contributions! Please read our contributing guide before submitting a pull request.