Product Hunt Scraper — pull Product Hunt leaderboard & launch data — products, upvotes, ranks, categories — clean typed JSON

Pull Product Hunt leaderboard and launch data — products, upvotes, ranks, categories, topics — as clean typed JSON. Scrape daily, weekly, monthly, yearly leaderboards plus category and topic pages, with optional comments, reviews, BuiltWith and website fields.

Main Use Cases

• Product discovery: surface the top daily, weekly, monthly, and yearly launches across Product Hunt with upvotes and rank.
• Market research: analyze product categories, topics, and trending features to understand what's gaining traction.
• Launch tracking: monitor your own launches and compare day/week/month/year rank performance over time.
• Competitor monitoring: watch rival products, their upvotes, categories, and promoted vs organic status.
• Startup intelligence: feed structured leaderboard data into dashboards, reports, and AI analysis pipelines.

How It Works

Product Hunt is a launch platform where makers ship products and the community upvotes them, generating daily, weekly, monthly, and yearly leaderboards ranked by upvotes.

This actor scrapes leaderboard pages and category/topic pages, plus Product Hunt's internal GraphQL query, returning each launch as a clean typed JSON record. For the full daily list, the actor uses an optional browser + residential proxy to defeat Cloudflare Turnstile — the browserForDaily flag (default true) with Apify Residential proxy ensures you get the complete daily leaderboard, not a truncated captcha-limited view.

Input

Field	Type	Required	Default	Notes
target	string enum	No	daily	One of: daily, weekly, monthly, yearly, category, topic
startDate	string	No	—	YYYY-MM-DD start (for daily)
endDate	string	No	—	YYYY-MM-DD end (for daily)
startWeek	string	No	—	YYYY-WW start (for weekly)
endWeek	string	No	—	YYYY-WW end (for weekly)
startMonth	string	No	—	YYYY-MM start (for monthly)
endMonth	string	No	—	YYYY-MM end (for monthly)
startYear	integer	No	—	Start year (for yearly)
endYear	integer	No	—	End year (for yearly)
categorySlugs	array	No	—	Category page slugs (for category)
topicSlugs	array	No	—	Topic page slugs (for topic)
maxNbItemsToScrape	integer	No	0	Max launches to return; 0 = all
shouldIncludePromotedListings	boolean	No	false	Include promoted listings
shouldScrapeOnlyFeaturedLaunches	boolean	No	false	Only featured launches
shouldScrapeComments	boolean	No	false	Add commentsCount effort
shouldScrapeReviews	boolean	No	false	Add review data
shouldScrapeBuiltWith	boolean	No	false	Add BuiltWith tech data
shouldScrapeLaunches	boolean	No	false	Scrape launch detail pages
shouldScrapeWebsite	boolean	No	false	Scrape launch websites
debugDumpHtml	boolean	No	false	Dump HTML for debugging
browserForDaily	boolean	No	true	Browser + residential proxy to solve Cloudflare Turnstile for full daily list
proxyConfiguration	object	No	Apify Residential	Proxy configuration

Output

Each dataset record is a typed JSON object containing launch + ranking data:

Field	Type	Description
isPromoted	boolean	Whether the listing is promoted
thumbnailUrl	string	Product thumbnail URL
name	string	Product name
url	string	Product Hunt launch URL
slug	string	Product slug
tagline	string	Product tagline
categories	array	Category slugs
commentsCount	integer	Number of comments
dayRank	integer	Daily leaderboard rank
weekRank	integer	Weekly leaderboard rank
monthRank	integer	Monthly leaderboard rank
yearRank	integer	Yearly leaderboard rank
upvotesCount	integer	Number of upvotes
topics	array	Topic slugs
pageKind	string	Page kind scraped
pageLabel	string	Page label
date	string	Launch date

Example Input

{
  "target": "daily",
  "startDate": "2026-08-21",
  "endDate": "2026-08-28",
  "maxNbItemsToScrape": 50,
  "browserForDaily": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Example Output

{
  "isPromoted": false,
  "thumbnailUrl": "https://ph-files.imgix.net/example.png",
  "name": "Sample Product",
  "url": "https://www.producthunt.com/posts/sample-product",
  "slug": "sample-product",
  "tagline": "The easiest way to do the thing",
  "categories": ["productivity"],
  "commentsCount": 42,
  "dayRank": 1,
  "weekRank": 3,
  "monthRank": 12,
  "yearRank": null,
  "upvotesCount": 856,
  "topics": ["ai", "saas"],
  "pageKind": "leaderboard",
  "pageLabel": "daily",
  "date": "2026-08-25"
}

Scheduling, Monitoring & Automation

Set up a recurring schedule (daily, e.g. at 01:00 UTC) to track each day's leaders before they rotate off the front page. Use it to:

• Capture a persistent daily-leaders dataset for historical rank/upvote analysis.
• Watch for new #1 launches and category trends.
• Combine with a second scheduled run targeting weekly/monthly for broader trend tracking.

Apify schedules run automatically on your chosen cadence, storing each run's output in a new dataset you can consume via API.

FAQ

Why use this actor instead of the official Product Hunt API?

The official Product Hunt API is limited, requires authentication, and does not expose a clean public dataset feed for leaderboards over time. This actor returns structured, typed JSON with day/week/month/year ranks, upvotes, categories, and topics — ready for analysis without API keys or rate-limit plumbing.

Can I get the full daily leaderboard?

Yes — set browserForDaily: true (default) with Apify Residential proxy to solve Cloudflare Turnstile and get the complete daily list.

How do I scrape weekly, monthly, or yearly leaders?

Set target to weekly, monthly, or yearly and provide the corresponding start/end date fields (startWeek/endWeek, startMonth/endMonth, startYear/endYear).

Which data fields do I get?

Each record includes name, slug, tagline, thumbnail, upvotes, daily/weekly/monthly/yearly ranks, categories, topics, comments count, page kind/label, and date.

Is this a public dataset or does it include promoted listings?

By default only regular listings are returned. Enable shouldIncludePromotedListings: true to include promoted listings.

Is this actor suitable for feeding an LLM or AI pipeline?

Yes. The clean typed JSON output is ideal for RAG, analytics dashboards, and AI agents.

For AI Agents & LLM Apps

Purpose: provide AI agents and LLM applications with structured Product Hunt leaderboard and launch data — upvotes, ranks, categories, topics — as clean typed JSON.

Minimal working input:

{
  "target": "daily",
  "startDate": "2026-08-21",
  "endDate": "2026-08-28",
  "browserForDaily": true
}

Output fields your app can rely on: name, url, slug, tagline, upvotesCount, dayRank, weekRank, monthRank, yearRank, categories, topics, commentsCount, isPromoted, date, pageKind, pageLabel.

Non-obvious behaviors:

• Residential proxy requirement: for the full daily list, keep browserForDaily: true (default) with the Apify Residential proxy to solve Cloudflare Turnstile. Disabling it may return a truncated list.
• Each optional scrape flag adds slower runs: enabling shouldScrapeComments, shouldScrapeReviews, shouldScrapeBuiltWith, shouldScrapeLaunches, or shouldScrapeWebsite increases runtime. Only enable what your task needs.
• maxNbItemsToScrape 0 = all: the default returns every item found (subject to billing). Set it to a number to cap output and cost. Default the total to a reasonable limit unless you truly intend "all".
• Pricing: $0.8 per run (pay-per-event), so cap maxNbItemsToScrape on scheduled runs to control spend.

Legal & Compliance Disclaimer

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Product Hunt. It accesses only publicly available pages and data on producthunt.com. It does not bypass login walls, and you are responsible for ensuring your use complies with Product Hunt's Terms of Service and applicable laws. Respect website terms, robots directives, and data-privacy regulations (e.g., GDPR) when storing or redistributing scraped data.

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