Product Hunt Scraper | Daily Launches, Votes & Founders avatar

Product Hunt Scraper | Daily Launches, Votes & Founders

Pricing

Pay per usage

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Product Hunt Scraper | Daily Launches, Votes & Founders

Product Hunt Scraper | Daily Launches, Votes & Founders

Scrape Product Hunt daily launches with upvotes, comments, topics, maker profiles, and website URLs. Filter by date and topic to track new product launches and trending tech. Extract founder info and sort by popularity. Export as JSON or CSV, run via API, or integrate with other tools.

Pricing

Pay per usage

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Maintained by Community

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2

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3 days ago

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Product Hunt Scraper

Scrape Product Hunt to discover trending products, launches, and makers. Extract product names, taglines, upvote counts, comment counts, topics, maker profiles, and thumbnails as structured JSON. No API key required.

This actor handles both Product Hunt's Next.js server-rendered pages and leaderboard/topic pages with robust DOM fallback parsing. It supports date filtering (today, yesterday, this week, this month), topic filtering, and automatic deduplication across multiple pages. Export to JSON, CSV, or via API.

Features

  • Date range filtering: today, yesterday, this week, or this month
  • Topic filtering (e.g. AI, SaaS, Developer Tools)
  • Dual parsing strategy: __NEXT_DATA__ JSON extraction with DOM fallback for maximum reliability
  • Automatic deduplication across leaderboard pages and homepage
  • Sort by upvotes, comments, or newest
  • Extracts product name, tagline, description, URL, upvotes, comments, topics, makers, thumbnail, and website
  • Proxy rotation support for reliable access
  • Rank assignment and scrape metadata included in every record

Input

FieldTypeDefaultDescription
dateFilterStringtodayDate range: today, yesterday, this_week, or this_month
topicString""Topic slug to filter (e.g. AI, SaaS, Developer Tools)
maxItemsInteger50Maximum number of products to return
sortByStringupvotesSort order: upvotes, comments, or newest
proxyConfigurationObjectApify proxyOptional custom proxy configuration

Example input

{
"dateFilter": "this_week",
"topic": "AI",
"maxItems": 100,
"sortBy": "upvotes"
}

Output

{
"rank": 1,
"name": "ExampleAI",
"tagline": "AI-powered tool for developers",
"description": "Detailed product description...",
"url": "https://www.producthunt.com/posts/exampleai",
"upvotes": 1240,
"commentsCount": 89,
"featuredAt": "2026-07-04T00:00:00.000Z",
"topics": [
{ "name": "Artificial Intelligence", "slug": "artificial-intelligence" }
],
"makers": [
{ "name": "Jane Doe", "username": "janedoe", "url": "https://www.producthunt.com/@janedoe" }
],
"thumbnail": "https://...",
"website": "https://exampleai.com",
"productHuntUrl": "https://www.producthunt.com/posts/exampleai",
"scrapedAt": "2026-07-04T10:30:00.000Z",
"dateFilter": "this_week",
"topicFilter": "AI"
}

Use cases

  • Market research — track new product launches and identify trends in specific categories
  • Lead generation — extract maker profiles to build outreach lists of founders and product builders
  • Competitive intelligence — monitor competitor launches and community reception
  • Content curation — build weekly product roundup newsletters or blog posts
  • Investment scouting — discover promising early-stage products by upvote velocity
  • Topic monitoring — track all launches in a specific niche over time

How to use

  1. Open the actor on the Apify Store.
  2. Set dateFilter to the desired time range.
  3. Optionally enter a topic to narrow results to a category.
  4. Adjust maxItems and sortBy as needed.
  5. Click Start and export results to JSON, CSV, or connect via API.

Use Apify's scheduler for daily or weekly runs to build a historical dataset of Product Hunt launches.