安装与配置
npm install firecrawl @anthropic-ai/sdk zod
.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'。
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 { Firecrawl } from 'firecrawl';
import Anthropic from '@anthropic-ai/sdk';
const firecrawl = new Firecrawl({ 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 { Firecrawl } from 'firecrawl';
import { Anthropic } from '@anthropic-ai/sdk';
import { z } from 'zod';
const firecrawl = new Firecrawl({
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: z.toJSONSchema(ScrapeArgsSchema) as Anthropic.Tool.InputSchema
}],
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(`Scraped content preview: ${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 { Firecrawl } from 'firecrawl';
import Anthropic from '@anthropic-ai/sdk';
import { z } from 'zod';
const firecrawl = new Firecrawl({ 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 = `Extract company information from this website content.
Output ONLY valid JSON in this exact format (no markdown, no explanation):
{
"name": "Company Name",
"industry": "Industry",
"description": "One sentence description"
}
Website content:
${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);
}