Product Hunt Scraper

Extract daily product launches, upvote counts, maker profiles, and product descriptions from Product Hunt. Built on spider-browser .

Get started Docs

target
producthunt.com: success rate
99.9%: latency
~4ms

Quick start

Extract data in minutes.

product-hunt-scraper.ts

import { SpiderBrowser } from "spider-browser";

const spider = new SpiderBrowser({
  apiKey: process.env.SPIDER_API_KEY!,
  stealth: 2,
});

await spider.connect();
const page = spider.page!;
await page.goto("https://www.producthunt.com/");
await page.content(10000);

const data = await page.evaluate(`(() => {
  const products = [];
  document.querySelectorAll("[data-test='post-item']").forEach(el => {
    const name = el.querySelector("[data-test='post-name']")?.textContent?.trim();
    const tagline = el.querySelector("[data-test='post-tagline']")?.textContent?.trim();
    const upvotes = el.querySelector("[data-test='vote-button'] span")?.textContent?.trim();
    const comments = el.querySelector("[data-test='comment-button'] span")?.textContent?.trim();
    const link = el.querySelector("a")?.getAttribute("href");
    if (name) products.push({ name, tagline, upvotes, comments, link });
  });
  return JSON.stringify({ total: products.length, products: products.slice(0, 15) });
})()`);

console.log(JSON.parse(data));
await spider.close();

ready to run · spider-browser · TypeScript

Fetch API

One endpoint for producthunt.com.

Structured JSON from producthunt.com with a single POST. AI-resolved selectors, cached on the first call.

POST /fetch/producthunt.com/

Product nameTaglineUpvotesCommentsMakersTopics

Try it Fetch docs

cURL

curl -X POST https://api.spider.cloud/fetch/producthunt.com/ \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"return_format": "json"}'

Python

import requests

resp = requests.post(
    "https://api.spider.cloud/fetch/producthunt.com/",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
    },
    json={"return_format": "json"},
)
print(resp.json())

Node.js

const resp = await fetch("https://api.spider.cloud/fetch/producthunt.com/", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ return_format: "json" }),
});
const data = await resp.json();
console.log(data);

Extraction