Product Hunt Comment Scraper

Extract commenter profiles, social links, and comment data from any Product Hunt daily leaderboard. For every unique commenter across all products launched on a given date, this Actor scrapes their Product Hunt profile and returns structured data including LinkedIn, Twitter/X, bio, role (Maker, Team, etc.), and their original comment text.

What does this Actor do?

For a given date, this Actor:

1. Loads the Product Hunt daily leaderboard (e.g., producthunt.com/leaderboard/daily/2024/7/25/all)
2. Navigates to the latest launch page for each product
3. Scrapes every comment page (with automatic pagination), deduplicating commenters globally
4. Visits each unique commenter's profile
5. Outputs one structured record per commenter, merged with their comment context

Powered by Playwright and Camoufox for reliable, bot-resistant browser automation.

Why scrape Product Hunt comments?

Product Hunt commenters are among the most engaged early adopters and builders on the internet. A targeted list of people actively discussing new products is valuable for outreach, research, and competitive intelligence.

• Lead generation — find founders, makers, and investors commenting on products in your space
• Launching Soon outreach — identify users with the "Launching Soon" badge who are about to launch their own product
• Competitive analysis — see who is engaging with competitor launches and what they are saying
• Community research — analyze the roles, backgrounds, and social profiles of a product's early audience

Input

Field	Type	Required	Description
date	string	✅	Date to scrape in YYYY-MM-DD format
filter.topNProducts	integer	❌	Limit to the top N products from the leaderboard
filter.minVotes	integer	❌	Only include products with at least this many upvotes

Example input

{
  "date": "2024-07-25",
  "filter": {
    "topNProducts": 5,
    "minVotes": 50
  }
}

Output

Each record represents one unique commenter. Profile data is merged with comment context from the product they commented on.

Field	Type	Description
name	string	Commenter's display name
avatarUrl	string	URL to their profile avatar
isVerified	boolean	Whether the account has a verified badge
url	string	Full Product Hunt profile URL
slug	string	Username (e.g., johndoe from /@johndoe)
links	array	All social and external links listed on the profile
linkedIn	string	LinkedIn URL, if listed
twitter	string	Twitter/X URL, if listed
aboutText	string	Bio from the profile page
commentText	string	Text of their first comment on the product
productHref	string	Product Hunt product URL they commented on
role	string	Role badge on the comment, e.g., Maker or Team
isLaunchingSoon	boolean	Whether they had a "Launching Soon" badge
commentsLength	integer	Total number of comments on that product
requestUrl	string	Launch page URL where the comment was found
scrapedAt	string	ISO timestamp of when the profile was scraped

Example output record

{
  "name": "Jane Smith",
  "avatarUrl": "https://ph-avatars.imgix.net/123456/avatar.jpeg",
  "isVerified": true,
  "url": "https://www.producthunt.com/@janesmith",
  "slug": "janesmith",
  "links": [
    "https://www.linkedin.com/in/janesmith/",
    "https://x.com/janesmith"
  ],
  "linkedIn": "https://www.linkedin.com/in/janesmith/",
  "twitter": "https://x.com/janesmith",
  "aboutText": "Founder @ Acme. Building things people want.",
  "commentText": "This is exactly what I've been looking for. Congrats on the launch!",
  "productHref": "https://www.producthunt.com/products/some-product",
  "role": null,
  "isLaunchingSoon": false,
  "commentsLength": 42,
  "requestUrl": "https://www.producthunt.com/products/some-product/launches/some-product",
  "scrapedAt": "2024-07-25T14:32:00.000Z"
}

How pagination works

Product Hunt paginates comments across multiple pages. This Actor detects all available comment pages from the pagination links (e.g., ?page=2#comments, ?page=3#comments) and enqueues each one automatically — no comments are missed.

Commenters are deduplicated globally: if the same person comments on multiple pages or products, their profile is only scraped once.

Proxy and anti-bot

This Actor uses Playwright with Firefox and Camoufox for fingerprint-resistant browser automation. When running on the Apify platform with a paid plan, it routes the initial leaderboard request through a US residential proxy and remaining requests through datacenter proxies to balance reliability and cost.

Export formats

Results can be exported from Apify Console in JSON, CSV, XML, Excel, and other formats. You can also access them via the Apify API or connect to downstream tools using Apify integrations.

Tips

• Run or schedule this Actor at around 23:00 PST. Product Hunt resets its daily leaderboard at 00:01 PST, so running just before midnight gives you the most complete data for the day.
• Use filter.topNProducts to limit the scope of a run and reduce compute time when you only need data from the top-ranked products.

FAQ

How many results can I expect? It depends on how many products you scrape and how active the comment sections are. A single top product on a popular day can have 50+ unique commenters across multiple comment pages.

Is the data real-time? Yes. The Actor fetches live data directly from Product Hunt on each run.

Can I scrape multiple dates? Each Actor run processes one date. To scrape multiple dates, trigger multiple runs via the Apify API or schedule recurring runs in Apify Console.

Will it capture all comments? Yes. The Actor handles comment pagination automatically and deduplicates commenters across all pages and products.