Product Hunt Scraper — Leaderboards & Launch Data

Scrape Product Hunt's daily, weekly, and monthly leaderboards plus full launch detail pages — votes, ranks, makers, hunter, links, topics, and comment counts — anonymously, with no API key. Schedule the watch mode to get alerted when launches matching your keywords go live.

What you get

Leaderboard modes (daily / weekly / monthly) — each launch row includes:

• rank, weeklyRank, monthlyRank — position on the board
• name, slug, tagline — product identity
• votes — upvote score at scrape time
• topics — Product Hunt topic slugs (e.g. artificial-intelligence, developer-tools)
• featuredAt, url, productSlug

Product mode — full launch detail for any slug:

• votes, dailyRank, weeklyRank, commentsCount
• makers — name, username, headline for every maker
• hunter — who hunted the product
• links — website, Twitter/X, LinkedIn, app stores
• website, pricingType, topics, description

Watch mode — scans the last N daily leaderboards (up to 31) and returns only launches whose name/tagline/topics match your keywords, with matchedKeywords on each row.

Use cases

• Competitive intelligence — watch a category keyword ("crm", "ai agent") and get every new launch in that space as it trends
• Lead generation — scrape daily #1–#35 products; makers' Twitter/LinkedIn links come along for outreach
• Launch tracking — monitor a competitor's product slug for vote/rank movement by scheduling product mode daily
• Trend research — pull monthly leaderboards to see which categories dominate
• Investor scouting — founders launching on PH are actively building; watch keywords in your thesis area

Input

Field	Type	Default	Description
mode	string	daily	daily, weekly, monthly, product, or watch
date	string	today	YYYY-MM-DD — board date (daily), ISO week (weekly), or month (monthly)
slugs	array	—	Product slugs for product mode
queries	array	—	Keywords for watch mode
daysBack	int	7	Daily boards to scan in watch mode (1–31)
maxResults	int	35	Max rows returned
proxyConfiguration	object	—	Optional Apify proxy

Example

{
  "mode": "watch",
  "queries": ["ai agent", "devtools"],
  "daysBack": 14,
  "maxResults": 50
}

→ every launch in the last two weeks mentioning "ai agent" or "devtools" in its name, tagline, or topics.

Pricing

$1.00 per 1,000 results (pay-per-event). A full daily leaderboard (~35 launches) costs about $0.035. A 31-day watch scan costs ~$1. Scheduled monitors are cheap.

Notes

• All data comes from public Product Hunt pages — no API key or account needed
• Product Hunt blocks datacenter IPs — the actor ships with residential proxy on by default (charged at Apify's standard residential rate, ~$0.005/page)
• Vote counts reflect the moment of scrape — schedule product mode daily to build a vote-history time series

Example output

{
  "recordType": "watch-hit",
  "board": "daily",
  "rank": 1,
  "weeklyRank": 18,
  "monthlyRank": 65,
  "name": "ZooWork",
  "slug": "zoowork",
  "tagline": "The AI agent delivery platform for FDEs and domain experts",
  "votes": 243,
  "productSlug": "zoowork",
  "productId": 1326155,
  "topics": [
    "productivity",
    "developer-tools",
    "artificial-intelligence"
  ],
  "featuredAt": "2026-10-03T00:01:00-07:00",
  "url": "https://www.producthunt.com/products/zoowork"
}

FAQ

Does Product Hunt Monitor need a login or API key? No — every row comes from public endpoints. Provide a proxy only if your network is heavily rate-limited.

How do I monitor on a schedule? Attach the actor to an Apify Schedule (daily/weekly) and use the watch/monitor mode if present — each run emits a fresh, diff-able dataset.

What does each row contain? See the output fields table above; every row carries a scrapedAt timestamp so datasets can be deduped across runs.

Is it legal to scrape this data? The actor only accesses publicly available data — the same pages/APIs a browser sees. Scraping public data for research, monitoring, and analysis is common practice, but platform Terms of Service and the rules in your jurisdiction still apply to how you use it. Consult legal counsel for your specific case.

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