安装与配置
npm install firecrawl @google/genai
FIRECRAWL_API_KEY=your_firecrawl_key
GEMINI_API_KEY=your_gemini_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
此示例演示了一个简单的工作流：抓取网站并使用 Gemini 对内容生成摘要。import { Firecrawl } from 'firecrawl';
import { GoogleGenAI } from '@google/genai';
const firecrawl = new Firecrawl({ apiKey: process.env.FIRECRAWL_API_KEY });
const ai = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY });
const scrapeResult = await firecrawl.scrape('https://firecrawl.dev', {
formats: ['markdown']
});
console.log('Scraped content length:', scrapeResult.markdown?.length);
const response = await ai.models.generateContent({
model: 'gemini-3.8-flash',
contents: `Summarize: ${scrapeResult.markdown}`,
});
console.log('Summary:', response.text);
内容分析
此示例展示了如何使用 Gemini 的多轮对话功能来分析网页内容。import { Firecrawl } from 'firecrawl';
import { GoogleGenAI } from '@google/genai';
const firecrawl = new Firecrawl({ apiKey: process.env.FIRECRAWL_API_KEY });
const ai = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY });
const scrapeResult = await firecrawl.scrape('https://news.ycombinator.com/', {
formats: ['markdown']
});
console.log('Scraped content length:', scrapeResult.markdown?.length);
const chat = ai.chats.create({
model: 'gemini-3.8-flash'
});
// 获取 Hacker News 上的前 3 条热门内容
const result1 = await chat.sendMessage({
message: `Based on this website content from Hacker News, what are the top 3 stories right now?\n\n${scrapeResult.markdown}`
});
console.log('Top 3 Stories:', result1.text);
// 获取 Hacker News 上的第 4 和第 5 条热门内容
const result2 = await chat.sendMessage({
message: `Now, what are the 4th and 5th top stories on Hacker News from the same content?`
});
console.log('4th and 5th Stories:', result2.text);
结构化提取
此示例演示了如何使用 Gemini 的 JSON 模式，从已抓取的网站内容中提取结构化数据。import { Firecrawl } from 'firecrawl';
import { GoogleGenAI, Type } from '@google/genai';
const firecrawl = new Firecrawl({ apiKey: process.env.FIRECRAWL_API_KEY });
const ai = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY });
const scrapeResult = await firecrawl.scrape('https://stripe.com', {
formats: ['markdown']
});
console.log('抓取的内容长度:', scrapeResult.markdown?.length);
const response = await ai.models.generateContent({
model: 'gemini-3.8-flash',
contents: `提取公司信息: ${scrapeResult.markdown}`,
config: {
responseMimeType: 'application/json',
responseSchema: {
type: Type.OBJECT,
properties: {
name: { type: Type.STRING },
industry: { type: Type.STRING },
description: { type: Type.STRING },
products: {
type: Type.ARRAY,
items: { type: Type.STRING }
}
},
propertyOrdering: ['name', 'industry', 'description', 'products']
}
}
});
console.log('已提取的公司信息:', response?.text);