> ## Documentation Index
> Fetch the complete documentation index at: https://docs.firecrawl.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# FastAPI

> Use Firecrawl with FastAPI to build async web scraping and search APIs in Python.

## Prerequisites

* Python 3.8+
* A Firecrawl API key — [get one free](https://www.firecrawl.dev/app/api-keys)

## Setup

```bash theme={null}
pip install fastapi uvicorn firecrawl-py
```

Add your API key to `.env`:

```bash theme={null}
FIRECRAWL_API_KEY=fc-YOUR-API-KEY
```

## Create the API

Create `main.py`:

```python theme={null}
import os
from fastapi import FastAPI
from pydantic import BaseModel
from firecrawl import Firecrawl

app = FastAPI()
firecrawl = Firecrawl(api_key=os.environ["FIRECRAWL_API_KEY"])


class SearchRequest(BaseModel):
    query: str
    limit: int = 5


class ScrapeRequest(BaseModel):
    url: str


class InteractRequest(BaseModel):
    scrape_id: str
    prompt: str


@app.post("/search")
async def search(req: SearchRequest):
    results = firecrawl.search(req.query, limit=req.limit)
    return [{"title": r.title, "url": r.url} for r in results.web]


@app.post("/scrape")
async def scrape(req: ScrapeRequest):
    result = firecrawl.scrape(req.url)
    return {"markdown": result.markdown, "metadata": result.metadata}


@app.post("/interact/start")
async def interact_start(req: ScrapeRequest):
    result = firecrawl.scrape(req.url, formats=["markdown"])
    return {"scrape_id": result.metadata.scrape_id}


@app.post("/interact")
async def interact(req: InteractRequest):
    response = firecrawl.interact(req.scrape_id, prompt=req.prompt)
    return {"output": response.output}


@app.post("/interact/stop")
async def interact_stop(req: InteractRequest):
    firecrawl.stop_interaction(req.scrape_id)
    return {"status": "stopped"}
```

## Run it

```bash theme={null}
uvicorn main:app --reload
```

## Test it

```bash theme={null}
# Search the web
curl -X POST http://localhost:8000/search \
  -H "Content-Type: application/json" \
  -d '{"query": "firecrawl web scraping", "limit": 5}'

# Scrape a page
curl -X POST http://localhost:8000/scrape \
  -H "Content-Type: application/json" \
  -d '{"url": "https://example.com"}'

# Start an interactive session, then send prompts
curl -X POST http://localhost:8000/interact/start \
  -H "Content-Type: application/json" \
  -d '{"url": "https://www.amazon.com"}'
```

FastAPI auto-generates interactive docs at `http://localhost:8000/docs`.

## Async variant

For better concurrency under load, use `AsyncFirecrawl`:

```python theme={null}
from firecrawl import AsyncFirecrawl

async_firecrawl = AsyncFirecrawl(api_key=os.environ["FIRECRAWL_API_KEY"])

@app.post("/scrape-async")
async def scrape_async(req: ScrapeRequest):
    result = await async_firecrawl.scrape(req.url)
    return {"markdown": result.markdown}
```

## Next steps

<CardGroup cols={2}>
  <Card title="Scrape docs" icon="file-lines" href="/features/scrape">
    All scrape options including formats, actions, and proxies
  </Card>

  <Card title="Search docs" icon="magnifying-glass" href="/features/search">
    Search the web and get full page content
  </Card>

  <Card title="Interact docs" icon="hand-pointer" href="/features/interact">
    Click, fill forms, and extract dynamic content
  </Card>

  <Card title="Python SDK reference" icon="python" href="/sdks/python">
    Full SDK reference with crawl, map, async, and more
  </Card>
</CardGroup>