跳转到主要内容
将 Firecrawl 与 Claude 集成，构建由网页数据驱动的 AI 应用。

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安装与配置

npm install @mendable/firecrawl-js @anthropic-ai/sdk zod zod-to-json-schema
创建“.env”文件： 
FIRECRAWL_API_KEY=your_firecrawl_key
ANTHROPIC_API_KEY=your_anthropic_key
注意： 如果使用 Node 版本低于 20，请安装 dotenv，并在代码中添加 import 'dotenv/config'。

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抓取 + 摘要

本示例演示了一个简单的工作流：抓取网站，并使用 Claude 对内容进行摘要。 
import FirecrawlApp from '@mendable/firecrawl-js';
import Anthropic from '@anthropic-ai/sdk';

const firecrawl = new FirecrawlApp({ apiKey: process.env.FIRECRAWL_API_KEY });
const anthropic = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY });

const scrapeResult = await firecrawl.scrape('https://firecrawl.dev', {
    formats: ['markdown']
});

console.log('Scraped content length:', scrapeResult.markdown?.length);

const message = await anthropic.messages.create({
    model: 'claude-haiku-4-5',
    max_tokens: 1024,
    messages: [
        { role: 'user', content: `Summarize in 100 words: ${scrapeResult.markdown}` }
    ]
});

console.log('Response:', message);

​
工具调用

本示例演示如何使用 Claude 的工具调用功能，让模型根据用户请求自动决定何时抓取网站内容。 
import FirecrawlApp from '@mendable/firecrawl-js';
import { Anthropic } from '@anthropic-ai/sdk';
import { z } from 'zod';
import { zodToJsonSchema } from 'zod-to-json-schema';

const firecrawl = new FirecrawlApp({
    apiKey: process.env.FIRECRAWL_API_KEY
});

const anthropic = new Anthropic({
    apiKey: process.env.ANTHROPIC_API_KEY
});

const ScrapeArgsSchema = z.object({
    url: z.string()
});

console.log("Sending user message to Claude and requesting tool use if necessary...");
const response = await anthropic.messages.create({
    model: 'claude-haiku-4-5',
    max_tokens: 1024,
    tools: [{
        name: 'scrape_website',
        description: 'Scrape and extract markdown content from a website URL',
        input_schema: zodToJsonSchema(ScrapeArgsSchema, 'ScrapeArgsSchema') as any
    }],
    messages: [{
        role: 'user',
        content: 'What is Firecrawl? Check firecrawl.dev'
    }]
});

const toolUse = response.content.find(block => block.type === 'tool_use');

if (toolUse && toolUse.type === 'tool_use') {
    const input = toolUse.input as { url: string };
    console.log(`Calling tool: ${toolUse.name} | URL: ${input.url}`);

    const result = await firecrawl.scrape(input.url, {
        formats: ['markdown']
    });

    console.log(`抓取内容预览: ${result.markdown?.substring(0, 300)}...`);
    // Continue with the conversation or process the scraped content as needed
}

​
结构化数据提取

此示例展示如何使用 Claude 从已抓取的网站内容中提取结构化数据。 
import FirecrawlApp from '@mendable/firecrawl-js';
import Anthropic from '@anthropic-ai/sdk';
import { z } from 'zod';

const firecrawl = new FirecrawlApp({ apiKey: process.env.FIRECRAWL_API_KEY });
const anthropic = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY });

const CompanyInfoSchema = z.object({
    name: z.string(),
    industry: z.string().optional(),
    description: z.string().optional()
});

const scrapeResult = await firecrawl.scrape('https://stripe.com', {
    formats: ['markdown'],
    onlyMainContent: true
});

const prompt = `从此网站内容中提取公司信息。

仅输出此精确格式的有效 JSON(无 markdown,无说明):

{
  "name": "Company Name",
  "industry": "Industry",
  "description": "One sentence description"
}

网站内容:
${scrapeResult.markdown}`;

const message = await anthropic.messages.create({
    model: 'claude-haiku-4-5',
    max_tokens: 1024,
    messages: [
        { role: 'user', content: prompt },
        { role: 'assistant', content: '{' }
    ]
});

const textBlock = message.content.find(block => block.type === 'text');

if (textBlock && textBlock.type === 'text') {
    const jsonText = '{' + textBlock.text;
    const companyInfo = CompanyInfoSchema.parse(JSON.parse(jsonText));
  
    console.log(companyInfo);
}
更多示例请参见 Claude 文档。