Product Hunt Scraper — Daily Launch Leads & Makers 🚀

foXLabs creator & company data: Y Combinator · Bluesky · Crunchbase · Company Enrichment

🎉 Turn the Product Hunt daily leaderboard into clean, structured launch data — no login, no OAuth token, one row per launch, with the makers and website on demand. Built for founders, investors and B2B sellers tracking what just launched and who is behind it.

🔍 What is the Product Hunt Scraper — and when should you use it?

Product Hunt is where new tech products launch every day — the earliest public signal of a new startup, tool or app. Give this actor a date (or a range) and it returns that day's ranked leaderboard — name, tagline, upvotes, rank, topics, comment count and launch date, plus (optionally) each product's website and makers — as clean rows you can filter, export, or feed to a spreadsheet, a CRM or an AI agent.

Use it when you need: a daily feed of new launches ranked by traction; founders to reach the day they launch (with website + makers); competitor/market tracking in a topic; or an investor sourcing feed of early-stage products.

Use something else when: you want established-company firmographics rather than launches — enrich a product's website with Company Enrichment, or pull startup directories from Y Combinator and Crunchbase.

🤖 Use with AI agents

Already on the Apify MCP server? Ask for this Actor by name: foxlabs/producthunt-launch-leads.

Your agent can pay for its own runs. This Actor is pay-per-event with agentic payments, so an agent can discover it, run it and settle the bill over x402 (USDC on Base) or Skyfire — no Apify account or API token of its own. Billing is the same either way: per delivered launch, never for errors.

Otherwise paste this into Claude, ChatGPT, Cursor or any MCP-enabled assistant:

I want the Product Hunt daily leaderboard as data using the Apify Actor
`foxlabs/producthunt-launch-leads`.

Input: `dateFrom`/`dateTo` (YYYY-MM-DD) set the day range (default yesterday); `topic` filters
by topic; `includeMakers` adds website + makers per product. Each row has name, tagline, votes,
dailyRank, topics, url and (optionally) website and makers.

Start with:
{ "dateFrom": "2026-10-11", "dateTo": "2026-10-11", "includeMakers": true }

Ask me the day or topic I want, run the Actor, then summarise the launches as a table.

Things you can ask your agent for:

• "List yesterday's top 10 Product Hunt launches with their upvotes and websites."
• "Pull last week's AI launches and the makers behind them."
• "Track launches in Developer Tools each day and flag the ones over 200 upvotes."

The machine-readable API, MCP config and OpenAPI definition live at apify.com/foxlabs/producthunt-launch-leads.md.

📋 Overview

Everything you need to turn the Product Hunt leaderboard into clean, structured data — ranked launches, traction metrics and the makers behind them — in one actor, with no login, cookies or OAuth token.

Why teams pick this actor:

• ✅ No OAuth token — unlike the official Product Hunt API, this needs no token and no login.
• ⚡ Ranked with real traction — upvotes, rank and comment count let you sort signal from noise.
• 🎯 Makers & website on demand — turn on includeMakers for the destination URL and the people who shipped it — the leads.
• 📅 Any date range — a single day or a sweep across many days.
• 💰 Pay only for results — per-launch pricing, blocked/empty days never billed.
• 🤖 Agent-ready — MCP + x402 agentic payments.

✨ Features

• 🔍 Full daily leaderboard — every ranked launch for a day, over any date range.
• 📈 Traction metrics — upvotes (score), comment count, and daily/weekly/monthly rank.
• 🏷️ Topics — each launch's topic tags for filtering and segmentation.
• 👥 Website + makers (optional) — the product's destination URL and the makers behind it.
• 📦 Clean export — deduplicated camelCase rows, ready for CSV/Excel/JSON.

🎬 Quick Start

curl -X POST "https://api.apify.com/v2/acts/foxlabs~producthunt-launch-leads/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"dateFrom": "2026-10-11", "dateTo": "2026-10-11", "includeMakers": true}'

🚀 Getting Started (3 steps)

1. Pick your days — leave empty for yesterday, or set dateFrom/dateTo for a range.
2. Tune it — set a topic filter and turn on includeMakers for website + makers.
3. Run and export — get a clean dataset as JSON, CSV or Excel.

📥 Input

{
  "dateFrom": "2026-10-05",
  "dateTo": "2026-10-11",
  "topic": "Artificial Intelligence",
  "includeMakers": true,
  "maxResults": 200
}

Field	Type	Description
dateFrom / dateTo	string	Leaderboard day range (YYYY-MM-DD). Default: yesterday.
topic	string	Keep only launches whose topics contain this text.
includeMakers	boolean	Fetch each product's page for website + makers (one extra request per product).
maxResults	integer	Max launches to deliver (0 = 1000).
proxyConfiguration	object	Residential by default — Product Hunt blocks datacenter IPs.

📤 Output

One row per launch, saved to the dataset.

Field	Type	Description
name / tagline	string	Product name and one-line pitch
slug / url	string	Slug and Product Hunt URL
votes	integer	Upvotes (score)
commentsCount	integer	Comment count
dailyRank / weeklyRank / monthlyRank	integer	Leaderboard ranks
topics	array	Topic tags
leaderboardDate / featuredAt / createdAt	string	Dates
website	string	Product's destination URL (with includeMakers)
makers	array	The makers behind it (with includeMakers)

Every row also carries source and scrapedAt.

{
  "name": "HireKey",
  "tagline": "Your recruiter-informed AI copilot for tech job search",
  "url": "https://www.producthunt.com/posts/hirekey-2",
  "votes": 243,
  "commentsCount": 32,
  "dailyRank": 1,
  "topics": ["Artificial Intelligence", "Tech", "Career"],
  "leaderboardDate": "2026-10-11",
  "website": "https://hirekey.io",
  "makers": ["Nela Davis", "Jurre Houtkamp", "Jonno Riekwel"],
  "source": "Product Hunt"
}

(website and makers appear only when includeMakers is on.)

💼 Use cases

1. Launch lead-gen — reach founders the day they launch, with their website and names. Input: yesterday's date + includeMakers. Output: launches + website + makers. Use: a daily outreach list.

2. Market & competitor tracking — watch what launches in your topic, ranked by traction. Input: a date range + topic. Output: ranked launches over time. Use: spot trends and competitors early.

3. Investor sourcing — a feed of new products with early engagement signal. Input: a date range. Output: launches with upvotes and topics. Use: a top-of-funnel deal feed.

🔗 Integration

JavaScript / Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('foxlabs/producthunt-launch-leads').call({
  dateFrom: '2026-10-11', dateTo: '2026-10-11', includeMakers: true,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('foxlabs/producthunt-launch-leads').call(
    run_input={'dateFrom': '2026-10-11', 'dateTo': '2026-10-11', 'includeMakers': True}
)
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

Written for apify-client 3 for Python, where call() returns a run object; with version 1 or 2 it returns a dict — write run['defaultDatasetId'] there.

Automation (n8n / Zapier / Make): schedule a daily run → HTTP request to the actor API → handle the JSON dataset → push to a sheet, CRM or dashboard.

📊 Pricing

Pay-per-event: $0.005 per delivered launch. Blocked or empty days are never billed. Turning on makers adds one request per product; the price is unchanged. View current pricing.

❓ FAQ

Do I need a Product Hunt API token or login? No. Unlike the official Product Hunt API (which requires an OAuth token), this reads the public leaderboard pages directly — nothing to set up.

How do I scrape the daily leaderboard? Leave the dates empty for yesterday, or set dateFrom/dateTo to sweep a range.

Can I get the makers and website of each product? Yes — turn on includeMakers and the actor opens each product's page to add its website and the makers behind it.

How do I get launches for a specific topic? Set the topic filter (e.g. Artificial Intelligence, SaaS, Developer Tools).

How current is the data? Every run reads the live leaderboard. The default is yesterday, since a day's ranking settles after it ends.

Can I export to CSV / Excel / JSON? Yes — directly from the Apify dataset.

🐛 Troubleshooting

• "Could not read any leaderboard" — Product Hunt is behind Cloudflare and blocks datacenter IPs; the actor uses a residential proxy by default. Keep proxyConfiguration on residential.
• Website/makers empty — turn on includeMakers; a product without a listed website returns none, never fabricated.
• Fewer launches than expected — a topic filter is narrowing the day, or maxResults is capping it.

⚠️ Trademark

Independent, third-party tool. Not affiliated with, endorsed by or connected to Product Hunt, Inc. "Product Hunt" and related marks belong to their owners and are used here for identification only.

⚖️ Is it legal to scrape this data?

This actor reads only the publicly published leaderboard — product data, not private user data. Your results can contain personal data (maker names), which is protected by the GDPR and similar laws, so only process it with a legitimate basis. See Apify's blog post on the legality of web scraping.

🤝 Support & contact

• 🌐 Website: data.foxlabs.com.tr
• 📧 Email: info@foxlabs.com.tr
• 🐛 Issues: open a ticket in the Actor's Issues tab
• 🧰 More clean B2B data actors: Fox Labs on Apify

Changelog

0.1.4 — 2026-10-12

• Add pay-per-event billing: one launch event per delivered launch.

0.1.2 — 2026-10-12

• Route requests through residential proxy with exit-IP rotation; Product Hunt blocks datacenter IPs with HTTP 403.

0.1.0 — 2026-10-12

• Initial release: daily leaderboard export over any date range, with rank, upvotes, comments, topics and dates, plus optional website + makers per product.