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Firecrawl + LangChain
Updated Feb 2026Integrate Firecrawl with LangChain to build AI applications powered by web data. Use chains, tool calling, and structured extraction with scraped content.
Source: docs.firecrawl.dev/developer-guides/llm-sdks-and-frameworks/langchain
Installation
bash
npm install @langchain/openai @mendable/firecrawl-jsCreate a .env file:
env
FIRECRAWL_API_KEY=your_firecrawl_key
OPENAI_API_KEY=your_openai_keyNode < 20
If using Node < 20, install dotenv and add import 'dotenv/config' to your code.
Scrape + Chat
Scrape a website and process the content using LangChain.
js
import FirecrawlApp from '@mendable/firecrawl-js';
import { ChatOpenAI } from '@langchain/openai';
import { HumanMessage } from '@langchain/core/messages';
const firecrawl = new FirecrawlApp({ apiKey: process.env.FIRECRAWL_API_KEY });
const chat = new ChatOpenAI({
model: 'gpt-4o',
apiKey: process.env.OPENAI_API_KEY
});
const scrapeResult = await firecrawl.scrape('https://firecrawl.dev', {
formats: ['markdown']
});
console.log('Scraped content length:', scrapeResult.markdown?.length);
const response = await chat.invoke([
new HumanMessage(`Summarize: ${scrapeResult.markdown}`)
]);
console.log('Summary:', response.content);Chains
Build a LangChain chain to process and analyze scraped content.
js
import FirecrawlApp from '@mendable/firecrawl-js';
import { ChatOpenAI } from '@langchain/openai';
import { ChatPromptTemplate } from '@langchain/core/prompts';
import { StringOutputParser } from '@langchain/core/output_parsers';
const firecrawl = new FirecrawlApp({ apiKey: process.env.FIRECRAWL_API_KEY });
const model = new ChatOpenAI({
model: 'gpt-4o',
apiKey: process.env.OPENAI_API_KEY
});
const scrapeResult = await firecrawl.scrape('https://stripe.com', {
formats: ['markdown']
});
const prompt = ChatPromptTemplate.fromMessages([
['system', 'You are an expert at analyzing company websites.'],
['user', 'Extract the company name and main products from: {content}']
]);
const chain = prompt.pipe(model).pipe(new StringOutputParser());
const result = await chain.invoke({
content: scrapeResult.markdown
});
console.log('Chain result:', result);Tool Calling
Use LangChain's tool calling feature to let the model decide when to scrape websites.
js
import FirecrawlApp from '@mendable/firecrawl-js';
import { ChatOpenAI } from '@langchain/openai';
import { DynamicStructuredTool } from '@langchain/core/tools';
import { z } from 'zod';
const firecrawl = new FirecrawlApp({ apiKey: process.env.FIRECRAWL_API_KEY });
const scrapeWebsiteTool = new DynamicStructuredTool({
name: 'scrape_website',
description: 'Scrape content from any website URL',
schema: z.object({
url: z.string().url().describe('The URL to scrape')
}),
func: async ({ url }) => {
const result = await firecrawl.scrape(url, {
formats: ['markdown']
});
return result.markdown || 'No content scraped';
}
});
const model = new ChatOpenAI({
model: 'gpt-4o',
apiKey: process.env.OPENAI_API_KEY
}).bindTools([scrapeWebsiteTool]);
const response = await model.invoke('What is Firecrawl? Visit firecrawl.dev.');
console.log('Response:', response.content);
console.log('Tool calls:', response.tool_calls);Structured Data Extraction
Extract structured data using LangChain's .withStructuredOutput() method.
js
import FirecrawlApp from '@mendable/firecrawl-js';
import { ChatOpenAI } from '@langchain/openai';
import { z } from 'zod';
const firecrawl = new FirecrawlApp({ apiKey: process.env.FIRECRAWL_API_KEY });
const scrapeResult = await firecrawl.scrape('https://stripe.com', {
formats: ['markdown']
});
const CompanyInfoSchema = z.object({
name: z.string(),
industry: z.string(),
description: z.string(),
products: z.array(z.string())
});
const model = new ChatOpenAI({
model: 'gpt-4o',
apiKey: process.env.OPENAI_API_KEY
}).withStructuredOutput(CompanyInfoSchema);
const companyInfo = await model.invoke([
{
role: 'system',
content: 'Extract company information from website content.'
},
{
role: 'user',
content: `Extract data: ${scrapeResult.markdown}`
}
]);
console.log('Extracted company info:', companyInfo);Legacy: FireCrawlLoader (v0)
v0 API
The LangChain FireCrawlLoader integration still uses v0 of the Firecrawl API. Use firecrawl-py==0.0.20 (Python) or @mendable/firecrawl-js@0.0.36 (Node).
python
# Python (v0 API)
pip install firecrawl-py==0.0.20
from langchain_community.document_loaders import FireCrawlLoader
loader = FireCrawlLoader(
api_key="YOUR_API_KEY", url="https://firecrawl.dev", mode="crawl"
)
docs = loader.load()js
// Node.js (v0 API)
import { FireCrawlLoader } from "langchain/document_loaders/web/firecrawl";
const loader = new FireCrawlLoader({
url: "https://firecrawl.dev",
apiKey: process.env.FIRECRAWL_API_KEY,
mode: "scrape", // or "crawl"
});
const docs = await loader.load();