Vercel Marketplace

npm install firecrawl

import { NextResponse } from "next/server";import { Firecrawl } from "firecrawl";const firecrawl = new Firecrawl({  apiKey: process.env.FIRECRAWL_API_KEY,});export async function POST(request: Request) {  const { url } = await request.json();  const result = await firecrawl.scrape(url, {    formats: ["markdown"],  });  return NextResponse.json(result);}

curl -X POST https://your-project.vercel.app/api/scrape \  -H "Content-Type: application/json" \  -d '{"url": "https://www.firecrawl.dev"}'

import { NextResponse } from "next/server";import { Firecrawl } from "firecrawl";const firecrawl = new Firecrawl({  apiKey: process.env.FIRECRAWL_API_KEY,});export async function POST(request: Request) {  const { query } = await request.json();  const results = await firecrawl.search(query, {    limit: 5,    scrapeOptions: {      formats: ["markdown"],    },  });  return NextResponse.json(results);}

import { NextResponse } from "next/server";import { Firecrawl } from "firecrawl";const firecrawl = new Firecrawl({  apiKey: process.env.FIRECRAWL_API_KEY,});export async function POST() {  const result = await firecrawl.scrape("https://news.ycombinator.com", {    formats: ["markdown"],  });  const scrapeId = result.metadata?.scrapeId;  if (!scrapeId) {    return NextResponse.json(      { error: "No interactive scrape session was created" },      { status: 500 }    );  }  const response = await firecrawl.interact(scrapeId, {    prompt: "Open the first story and summarize the page.",  });  await firecrawl.stopInteraction(scrapeId);  return NextResponse.json({ output: response.output });}

npm install firecrawl-aisdk ai

import { generateText, stepCountIs } from "ai";import { FirecrawlTools } from "firecrawl-aisdk";const { text } = await generateText({  model: "anthropic/claude-sonnet-4-5",  tools: FirecrawlTools(),  stopWhen: stepCountIs(20),  prompt: "Search for recent Vercel AI SDK examples, scrape the best sources, and summarize them.",});console.log(text);