将 Firecrawl 与 Google 的 Gemini 集成，以构建由网页数据驱动的 AI 应用。
安装与配置#
npm install firecrawl @google/genai创建“.env”文件：
FIRECRAWL_API_KEY=your_firecrawl_keyGEMINI_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-2.5-flash', contents: `Summarize: ${scrapeResult.markdown}`,});console.log('Summary:', response.text);内容分析#
此示例展示了如何使用 Gemini 的多轮对话功能来分析网页内容。
import { Firecrawl } from 'firecrawl';import { GoogleGenAI } from '@google/genai';const firecrawl = new Firecrawl({ apiKey: process.env.FIRECRAWL_API_KEY });const ai = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY });const scrapeResult = await firecrawl.scrape('https://news.ycombinator.com/', { formats: ['markdown']});console.log('Scraped content length:', scrapeResult.markdown?.length);const chat = ai.chats.create({ model: 'gemini-2.5-flash'});// 获取 Hacker News 上的前 3 条热门内容const result1 = await chat.sendMessage({ message: `Based on this website content from Hacker News, what are the top 3 stories right now?\n\n${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);结构化数据提取#
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-2.5-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);更多示例请参阅 Gemini 文档。