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Product Hunt Scraper

Scrape Product Hunt launches, product profiles, and daily leaderboards — name, tagline, votes, comments, topics, featured date, and daily/weekly/monthly rankings.

What you get

Launch and product data from Product Hunt. Three modes: launches (daily featured products from the homepage or any topic page), products (full product profiles with tagline, votes, and topics), and leaderboard (ranked products for a specific day or historical date range). Ideal for tracking new launches, monitoring a topic, or building historical launch datasets.

Output fields

Example output

{
"name":"Notion AI",
"tagline":"Write faster, think bigger, and be more creative",
"url":"https://www.producthunt.com/posts/notion-ai",
"votes_count":3421,
"comments_count":287,
"daily_rank":1,
"weekly_rank":1,
"monthly_rank":3,
"topics":["Artificial Intelligence","Productivity","Writing"],
"featured_at":"2026-04-15",
"created_at":"2026-04-15",
"query":"artificial-intelligence"
}

Input parameters

Use cases

• Founders and makers: Monitor launches in your topic to gauge competition and timing.
• Investors: Track daily leaderboards to spot trending products before they hit mainstream press.
• Product marketers: Pull historical top-10s to study positioning patterns that win upvotes.
• Analysts and journalists: Build timelines of AI, developer-tool, or productivity launches by date range.
• Growth teams: Benchmark your own launch against same-day competitors.

Pricing

Pay-per-result pricing. Tiered discounts apply automatically based on usage volume.

Limitations

• Product Hunt shows a homepage cap of ~24 launches per day — for historical depth, use leaderboard mode with a date range.
• Topic pages are paginated; very old launches on niche topics may be out of reach of the default max.
• Vote and comment counts are live values at scrape time — they change as more users engage.
• Leaderboard mode requires a date; startDate/endDate must be YYYY-MM-DD.
• Rankings only exist where Product Hunt itself exposes them (e.g., daily rank only for featured products that day).

Compared to alternatives

• vs. any Apify Store competitor: There is no comparable Product Hunt scraper on Apify. This actor fills that gap with all three modes (launches, products, leaderboard) and historical leaderboard date ranges.
• vs. Product Hunt's public API: The official GraphQL API requires OAuth and enforces strict rate limits — this actor is ready for ad-hoc research and BI pipelines without key management.

Pairs well with G2 Software Reviews Scraper for launch-to-review tracking of SaaS products over time.

FAQ

What's the difference between launches and leaderboard? launches pulls the current homepage or a topic page — great for "what's live now". leaderboard gives you the ranked top products for any specific date, which is the right mode for historical datasets.

Can I get historical launches for a given month? Yes. Use scrapeType: "leaderboard" with startDate and endDate spanning that month, plus maxPerDay to cap daily volume.

Does products mode return votes and comments too? Yes — products returns the same vote and comment counts plus full product profiles for the specific product slugs you pass.

How fresh is the data? Pulled live at run time — as fresh as Product Hunt itself.

Last verified: 2026-04

More scrapers at thirdwatch.dev.