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Langchain
Firecrawl integrates with Langchain as a document loader.
Note: this integration is still using v0 version of the Firecrawl API. You can install the 0.0.20 version for the Python SDK or the 0.0.36 for the Node SDK.
Installation
bash
pip install firecrawl-py==0.0.20Usage
You will need to get your own API key. See https://firecrawl.dev
python
from langchain_community.document_loaders import FireCrawlLoader
loader = FireCrawlLoader(
api_key="YOUR_API_KEY", url="https://firecrawl.dev", mode="crawl"
)
docs = loader.load()Modes
Scrape: Scrape single url and return the markdown. Crawl: Crawl the url and all accessible sub pages and return the markdown for each one.
python
loader = FireCrawlLoader(
api_key="YOUR_API_KEY",
url="https://firecrawl.dev",
mode="scrape",
)
data = loader.load()Crawler Options
You can also pass params to the loader. This is a dictionary of options to pass to the crawler. See the FireCrawl API documentation for more information.
Langchain JS
To use it in Langchain JS, you can install it via npm:
bash
npm install @mendableai/firecrawl-jsThen, you can use it like this:
typescript
import { FireCrawlLoader } from "langchain/document_loaders/web/firecrawl";
const loader = new FireCrawlLoader({
url: "https://firecrawl.dev", // The URL to scrape
apiKey: process.env.FIRECRAWL_API_KEY, // Optional, defaults to `FIRECRAWL_API_KEY` in your env.
mode: "scrape", // The mode to run the crawler in. Can be "scrape" for single urls or "crawl" for all accessible subpages
params: {
// optional parameters based on Firecrawl API docs
// For API documentation, visit https://docs.firecrawl.dev
},
});
const docs = await loader.load();