Product Hunt Scraper — Launches, Reviews & Leaderboards

Disclaimer: Unofficial integration for publicly accessible Product Hunt pages. Not affiliated with, sponsored by, or endorsed by Product Hunt or its operators. Trademarks belong to their respective owners.

This Actor is provided for informational and research purposes only. You are solely responsible for ensuring your use complies with applicable laws, platform terms of use, and your organization's policies.

No warranty is given as to accuracy, completeness, or continued availability of third-party data. Use at your own risk.

Product Hunt scraper and API alternative — extract product launches, taglines, votes, websites, social handles, user reviews, ratings, and threaded comments. Scrape daily/weekly/monthly/yearly leaderboards or any custom launch list. Built for lead gen, competitor research, and startup datasets via Python, Node.js, or MCP.

Product Hunt	Google Play	Apple App Store	App Stores Combined
Product Hunt Scraper ◄── you are here	Google Play Scraper	Apple App Store Scraper	App Stores Scraper

When to use this Actor

Use the Product Hunt Scraper when you need launch-day signals, leaderboard ranks, reviews, and maker/website enrichment from Product Hunt without a PH API key.

For mobile app store listings and ratings, use the Google Play / Apple App Store scrapers instead.

Key Features

• Feed & launches — Homepage or custom category/topic pages
• Leaderboards — Daily, weekly, monthly, yearly by date or week
• Deep product details — Description, company info, social / app store links
• Reviews & ratings — Overall and aspect ratings, pros/cons, reviewer profiles
• Threaded comments — Discussion body, upvotes, timestamps, authors
• Fast HTTP — curl_cffi TLS impersonation; no heavy browser for v1

Input Parameters

Parameter	Type	Default	Description
startUrls	Array	Product Hunt homepage	Homepage, posts, or leaderboard URLs
scrapeDetails	Boolean	true	Visit detail pages for description, links, reviews, comments
maxItems	Integer	500	Max launches to scrape
scrapeReviews	Boolean	true	Extract reviews (up to maxReviews per product)
scrapeComments	Boolean	true	Extract comments (up to maxComments per product)
maxReviews	Integer	20	Max reviews per product
maxComments	Integer	50	Max comments per product
proxyConfiguration	Object	Residential	Apify Residential recommended
concurrencyLimit	Integer	2	Concurrent workers (keep low)

Input Example

{
  "startUrls": [{ "url": "https://www.producthunt.com/" }],
  "scrapeDetails": true,
  "maxItems": 25,
  "scrapeReviews": true,
  "scrapeComments": true,
  "maxReviews": 10,
  "maxComments": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  },
  "concurrencyLimit": 2
}

Output Format

{
  "id": "1175520",
  "name": "Spira for Product Hunt Makers",
  "slug": "spira-for-product-hunt-makers",
  "tagline": "Social media growth agents that build your momentum",
  "votesCount": 447,
  "commentsCount": 161,
  "dailyRank": 1,
  "weeklyRank": 2,
  "monthlyRank": 39,
  "websiteUrl": "https://spira.ai",
  "reviewsRating": 4.8,
  "reviewsCount": 12,
  "featuredAt": "2026-06-29T00:01:00-07:00"
}

Use cases

Use case	What you get
B2B lead gen	New launches, websites, social handles, makers
Competitor analysis	Category launches, ratings, review themes
Market sentiment	Votes, comments, review scores over time
Startup research	Leaderboard ranks, funding / YC signals when present
AI / MCP workflows	Run via Apify API, clients, or MCP

Integration examples

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('crawloop/producthunt-scraper').call({
  startUrls: [{ url: 'https://www.producthunt.com/' }],
  maxItems: 25,
  scrapeDetails: true,
  scrapeReviews: true,
  proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ['RESIDENTIAL'] },
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.slice(0, 5));

Python

from apify_client import ApifyClient

client = ApifyClient(token)
run = client.actor("crawloop/producthunt-scraper").call(
    run_input={
        "startUrls": [{"url": "https://www.producthunt.com/"}],
        "maxItems": 25,
        "scrapeDetails": True,
        "proxyConfiguration": {"useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"]},
    }
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("name"), item.get("votesCount"), item.get("websiteUrl"))

cURL

curl "https://api.apify.com/v2/acts/crawloop~producthunt-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls":[{"url":"https://www.producthunt.com/"}],"maxItems":25,"scrapeDetails":true,"proxyConfiguration":{"useApifyProxy":true,"apifyProxyGroups":["RESIDENTIAL"]}}'

MCP and AI assistants

Use this Actor from AI tools via Apify MCP. Connect your Apify account, then call crawloop/producthunt-scraper.

Example prompts:

• "Run Product Hunt Scraper for today's homepage, max 25, and return name, tagline, votesCount, websiteUrl"
• "Scrape Product Hunt launches with reviews and summarize top-rated products"
• "Chain Product Hunt then Google Play Scraper when a launch has an Android app link"

Suite next step

For mobile store presence after a launch, use Google Play Scraper or Apple App Store Scraper. For both stores in one run, use App Stores Scraper.

Related Actors — Product discovery

Focus	Actor
Product Hunt launches & reviews	Product Hunt Scraper ◄── you are here
Google Play apps	Google Play Scraper
Apple App Store apps	Apple App Store Scraper
Both app stores	App Stores Scraper