Product Hunt Scraper — Launches, Comments & Leads

Fast HTTP-only Product Hunt scraper for launch intelligence, startup lead generation, competitor research, founder discovery, and deal-flow monitoring.

Extract ranked Product Hunt launches with full comment threads (via HTTP-only GraphQL pagination — no Playwright, no Product Hunt API token), scores, followers, topics, makers, reviews, screenshots, videos/media metadata, built-with tools, website URLs, launch history, website text, tech-stack detection, maker profiles, commenter profiles, momentum scores, promoted/ad signals, and email discovery.

Why this Actor

• Same price as the cheapest serious competitor: $0.45 / 1,000 records
• No browser required: pure HTTP scraping — fast, reliable, low-cost
• Full comments: ALL comment threads via Apollo persisted GraphQL pagination (not just SSR-visible)
• Any URL supported: product pages, leaderboards (daily/weekly/monthly/yearly), topics, collections, maker profiles, search — all auto-detected
• Ranks included: daily, weekly, monthly, and yearly leaderboard ranks
• Momentum scores: score_per_hour, comment_rate, launch_age_hours, momentum_signal (breakout/trending/steady/slow)
• Commenter lead generation: extract commenter profiles with bio, social links, and roles
• Built-with tools: Product Hunt launch shoutouts (GitHub, Figma, AWS, etc.)
• Media/videos: Product Hunt gallery images plus video platform/ID/URL metadata
• Explicit promoted/ad signals: conservative is_promoted + promoted_ads_on_page
• Multi-category feed mode: scrape multiple Product Hunt categories in one run
• Historical data: scrape past daily/weekly/monthly/yearly leaderboards

Supported input URLs

The Actor auto-detects and routes any Product Hunt URL type:

URL pattern	What it does
https://www.producthunt.com/products/{slug}	Scrape a single product
https://www.producthunt.com/leaderboard/daily/2026/7/6	Scrape a daily leaderboard
https://www.producthunt.com/leaderboard/weekly/2026/28	Scrape a weekly leaderboard
https://www.producthunt.com/leaderboard/monthly/2026/7	Scrape a monthly leaderboard
https://www.producthunt.com/leaderboard/yearly/2026	Scrape a yearly leaderboard
https://www.producthunt.com/topics/{topic}	Scrape all products from a topic page
https://www.producthunt.com/collections/{id}	Scrape all products from a collection
https://www.producthunt.com/@{username}	Scrape all products from a maker profile
https://www.producthunt.com/all?q={query}	Scrape products from search results

What it does

1. Fetches Product Hunt leaderboard pages, product URLs, topic/collection/maker/search pages, or Atom feeds.
2. Extracts rank from leaderboard HTML.
3. Extracts Apollo SSR data: latestScore, launchDayScore, commentsCount, followersCount, featuredAt, websiteUrl, topics, etc.
4. Enriches product pages via JSON-LD + Apollo SSR.
5. Fetches ALL comments via Apollo persisted GraphQL with cursor pagination (no Playwright, no OAuth token).
6. Extracts Product Hunt built-with/shoutout tools from detailedReviews.
7. Extracts media gallery entries including video URL/platform/video ID.
8. Extracts explicit promoted/ad blocks without guessing.
9. Computes momentum scores: score_per_hour, comment_rate, launch_age_hours, momentum_signal.
10. Optionally enriches commenter profiles for lead generation.
11. Optionally fetches /products/{slug}/launches for launch history.
12. Optionally fetches product websites for cleaned text + tech stack.
13. Optionally fetches maker profile pages for headline/followers/social links.
14. Optionally scans product websites for emails.

Input

Field	Type	Default	Description
startUrls	array	[]	Any Product Hunt URLs — products, leaderboards, topics, collections, maker profiles, search. Auto-detected.
mode	string	leaderboard	leaderboard, feed, or both. Ignored when startUrls is set.
leaderboardType	string	daily	daily, weekly, monthly, yearly
date	string	""	Date path: daily=2026/7/4, weekly=2026/27, monthly=2026/6, yearly=2026
categories	array	[]	Feed categories: ai-software, tech, design-tools, developer-tools, etc.
maxEntries	integer	50	Max entries per feed category
enrichProducts	boolean	true	Fetch product pages for full data
maxProducts	integer	0	Limit products to enrich (0 = all)
includeComments	boolean	false	Extract full comment text via GraphQL pagination
maxCommentsPerProduct	integer	20	Max comments per product
includeMomentum	boolean	true	Compute momentum scores (score_per_hour, comment_rate, etc.)
enrichCommenters	boolean	false	Fetch commenter profiles for lead generation
maxCommentersPerProduct	integer	50	Max commenter profiles to enrich per product
includeBuiltWith	boolean	true	Extract Product Hunt built-with/shoutout tools
includeMedia	boolean	true	Extract Product Hunt images/videos/media metadata
includePromotedAds	boolean	true	Extract explicit promoted/ad blocks and conservative is_promoted
enrichMakers	boolean	false	Fetch maker profile pages for extra founder data
maxMakersPerProduct	integer	3	Max makers to enrich per product (0 = all)
featuredOnly	boolean	false	Keep only featured/ranked launches
excludePromoted	boolean	false	Exclude only when an explicit promoted marker is exposed
minScore	integer	0	Keep only products with latestScore >= minScore
minComments	integer	0	Keep only products with commentsCount >= minComments
includeLaunchHistory	boolean	false	Fetch launch history from /products/{slug}/launches
includeWebsiteText	boolean	false	Add cleaned visible text from product website
maxWebsiteTextChars	integer	5000	Max chars to keep in website_text
detectTechStack	boolean	false	Detect Next.js, Vercel, Webflow, Shopify, WordPress, Stripe, etc.
extractEmails	boolean	false	Scan product websites for email addresses

Example: full competitive intelligence

{
  "startUrls": ["https://www.producthunt.com/products/vida-5"],
  "enrichProducts": true,
  "includeComments": true,
  "maxCommentsPerProduct": 100,
  "includeMomentum": true,
  "enrichCommenters": true,
  "maxCommentersPerProduct": 20,
  "includeBuiltWith": true,
  "includeMedia": true,
  "includeLaunchHistory": true,
  "includeWebsiteText": true,
  "detectTechStack": true,
  "enrichMakers": true,
  "maxMakersPerProduct": 2
}

Output example

{
  "name": "PhoneDeck",
  "slug": "phonedeck",
  "product_url": "https://www.producthunt.com/products/phonedeck",
  "dailyRank": 3,
  "latestScore": 258,
  "launchDayScore": 226,
  "commentsCount": 22,
  "followersCount": 323,
  "featuredAt": "2026-07-04T00:01:00-07:00",
  "websiteUrl": "https://phonedeck.io",
  "topics": ["iOS", "Mac", "Productivity", "Artificial Intelligence", "Business"],
  "launch_age_hours": 48.5,
  "score_per_comment": 11.73,
  "score_per_hour": 5.32,
  "comment_rate": 0.45,
  "momentum_signal": "steady",
  "comments": [
    {"id": "5511611", "text": "Congrats on the launch!", "author": {"username": "itsluo", "name": "Luo"}}
  ],
  "commenters": [
    {"commenter_username": "itsluo", "name": "Luo", "headline": "Building things", "followers_count": 40, "roles": ["commenter"]}
  ],
  "built_with": [{"name": "GitHub", "slug": "github"}],
  "videos": [{"platform": "youtube", "video_id": "INgBoXo1flI"}],
  "makers": [{"name": "Vansh Parihar", "username": "vanshmparihar", "headline": "Built PhoneDeck in 7 days."}],
  "scraped_at": "2026-07-06T..."
}

Pricing

Pay per result: $0.45 per 1,000 enriched Product Hunt records.

No charge for failed lookups. Free trial available.