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Product Hunt Leaderboard Scraper: Extract Top Product Rankings & Launch Data

Introduction

Product Hunt is the world's leading platform for discovering new products, startups, and innovations, attracting millions of entrepreneurs, investors, and early adopters. The platform's leaderboard system showcases the most popular products launched each day, week, and month, ranked by community votes and engagement. This competitive ranking mechanism makes Product Hunt leaderboards a goldmine of data for understanding product launch success, market trends, and emerging technologies.

For product managers, startup founders, investors, and market researchers, accessing structured leaderboard data is invaluable for competitive intelligence, trend analysis, and launch strategy optimization. However, manually tracking leaderboard positions across multiple time periods is tedious and prevents systematic analysis of launch patterns and success factors.

The Product Hunt Leaderboard Scraper automates extraction of comprehensive ranking data, enabling systematic analysis of product launches, competitive positioning, and market trends that would otherwise require extensive manual effort.

Scraper Overview

The Product Hunt Leaderboard Scraper is a specialized tool designed to extract detailed product ranking data from Product Hunt's daily, weekly, and monthly leaderboards. It captures comprehensive launch metrics including vote counts, rankings, product details, community engagement, and temporal data.

The scraper offers flexible URL-based extraction, configurable item limits, and robust error handling through the ignore_url_failures parameter. It's valuable for startup founders analyzing competitor launches, investors tracking emerging products, product managers researching market trends, and content creators identifying viral products.

The tool extracts rich metadata including product slugs, taglines, featured comments, topic classifications, and multiple ranking dimensions (daily, weekly, monthly), enabling multi-faceted analysis of launch success factors and product performance patterns.

Input and Output Details

Example url 1: https://www.producthunt.com/leaderboard/daily/2026/4/9

Example url 2: https://www.producthunt.com/leaderboard/weekly/2026/15

Example url 3: https://www.producthunt.com/leaderboard/monthly/2026/4

Example Screenshot of posts list page:

Input Format

{
  "urls": [
    "https://www.producthunt.com/leaderboard/monthly/2026/4"
  ],
  "max_items_per_url": 100,
  "ignore_url_failures": true
}

The urls parameter: Add URLs of Product Hunt leaderboard pages. Supported formats include:

• Daily leaderboards: /leaderboard/daily/YYYY/M/D
• Weekly leaderboards: /leaderboard/weekly/YYYY/W
• Monthly leaderboards: /leaderboard/monthly/YYYY/M

The max_items_per_url parameter: Limit products scraped per leaderboard page. Default is 20, increase to 100+ for comprehensive monthly data extraction.

The ignore_url_failures parameter: When true, continues scraping even if specific URLs fail, ensuring one problematic date doesn't halt batch processing.

Output Format

[
  {
  "id": "1094681",
  "promoted_pill_image_url": "/i/aaf721a5d9644cf0b8a2424fa625730d222578a376471665f5793eb0c5495a6b",
  "name": "Brila",
  "slug": "brila-2",
  "tagline": "One-page websites from real Google Maps reviews",
  "hide_votes_count": false,
  "redirect_to_product": null,
  "product": {
    "__typename": "Product",
    "id": "1178396",
    "slug": "brila-2",
    "is_subscribed": false
  },
  "featured_comment": null,
  "thumbnail_image_uuid": "6e8a39c7-ec23-46e5-9962-0ad93d097fc0.png",
  "featured_at": "2026-04-09T00:01:00-07:00",
  "scheduled_at": "2026-04-09T00:01:00-07:00",
  "created_at": "2026-04-09T00:01:00-07:00",
  "is_subscribed": false,
  "shortened_url": "/r/p/1094681",
  "daily_rank": "1",
  "weekly_rank": "3",
  "monthly_rank": "52",
  "randomization_status": {
    "__typename": "FeedRandomizationStatus",
    "randomize_order": false,
    "random_day": false,
    "active": false,
    "next_transition_at": null
  },
  "friend_voters": {
    "__typename": "UserConnection",
    "edges": [],
    "total_count": 0
  },
  "topics": {
    "__typename": "TopicConnection",
    "edges": [
      {
        "__typename": "TopicEdge",
        "node": {
          "__typename": "Topic",
          "id": "243",
          "slug": "website-builder",
          "name": "Website Builder"
        }
      },
      {
        "__typename": "TopicEdge",
        "node": {
          "__typename": "Topic",
          "id": "268",
          "slug": "artificial-intelligence",
          "name": "Artificial Intelligence"
        }
      },
      {
        "__typename": "TopicEdge",
        "node": {
          "__typename": "Topic",
          "id": "1260",
          "slug": "alpha",
          "name": "Alpha"
        }
      }
    ]
  },
  "contest": {
    "__typename": "Contest",
    "id": "alpha-day",
    "name": "Alpha Day",
    "slug": "alpha-day",
    "metadata": {
      "theme": "alpha",
      "sponsor": "Product Hunt",
      "title": "Be the first to try something new",
      "subtitle": "Alpha products are launching for the first time ever. Try them, leave feedback, and help shape what's next.",
      "description": "Comments on alpha launches and comments by alpha makers will earn 3x points today.",
      "sidebar_headline": "Debut launches get a boost",
      "sidebar_subheadline": "Comments earn 3x points. Makers commenting on other makers’ launches = double boost.",
      "sidebar_cta_label": "Vote now",
      "sidebar_cta_url": "/contests/alpha-day?ref=sidebar"
    }
  },
  "product_state": "default",
  "has_voted": false,
  "latest_score": 578,
  "launch_day_score": 578,
  "disabled_when_scheduled": true,
  "updated_at": "2026-04-09T07:32:28-07:00",
  "embargo_preview_at": null,
  "comments_count": 114,
  "from_url": "https://www.producthunt.com/leaderboard/daily/2026/4/9"
}
]

The scraper returns detailed product ranking data:

• ID: Unique Product Hunt post identifier. Critical for tracking products across time periods and preventing duplicates in analysis.

• Promoted Pill Image URL: Promotional badge image if product is sponsored. Identifies paid promotions vs. organic launches.

• Name: Product name. Essential for product identification and competitive tracking.

• Slug: URL-friendly product identifier. Enables direct linking and consistent product tracking across leaderboards.

• Tagline: One-line product description. Reveals positioning strategy and value proposition messaging.

• Hide Votes Count: Boolean indicating if votes are hidden. Signals competitive concerns or strategic voting concealment.

• Redirect To Product: External product URL. Enables traffic analysis and product website examination.

• Product: Detailed product object with additional metadata. Contains comprehensive product information beyond basic fields.

• Featured Comment: Highlighted community comment. Provides social proof, user feedback, and engagement quality indicators.

• Thumbnail Image UUID: Product thumbnail identifier. Enables visual tracking and image asset management.

• Featured At: Timestamp when product was featured. Critical for launch timing analysis and temporal trend identification.

• Scheduled At: Planned launch time if pre-scheduled. Reveals launch planning strategies and optimal timing patterns.

• Created At: Post creation timestamp. Tracks preparation time before launch for strategic insights.

• Is Subscribed: User subscription status. Indicates tracking or follow-up interest.

• Shortened URL: Product Hunt short link. Facilitates sharing and referral tracking.

• Daily Rank: Position in daily leaderboard. Core metric for launch day success measurement.

• Weekly Rank: Position in weekly leaderboard. Shows sustained performance beyond launch day.

• Monthly Rank: Position in monthly leaderboard. Indicates long-term product impact and staying power.

• Randomization Status: Algorithm randomization indicator. Important for understanding ranking mechanics.

• Friend Voters: Voters from user's network. Signals social network effects on product success.

• Topics: Product category tags. Enables category-specific analysis and trend identification by vertical.

• Contest: Associated contest or competition. Identifies products participating in special events.

• Product State: Current product status. Tracks active vs. inactive products.

• Has Voted: User voting status. For authenticated scraping, tracks personal engagement.

• Latest Score: Most recent vote count. Real-time popularity metric for dynamic tracking.

• Launch Day Score: Votes received on launch day. Key success indicator for launch effectiveness.

• Disabled When Scheduled: Scheduling restriction status. Technical metadata about launch configuration.

• Updated At: Last modification timestamp. Tracks product updates and post-launch changes.

• Embargo Preview At: Preview embargo timestamp. Reveals early access strategies.

• Comments Count: Total comment quantity. Measures community engagement and discussion volume.

Each field enables analysis of launch strategies, success patterns, competitive positioning, and temporal trends in product launches.

Usage Guide

Setting Up Leaderboard Extraction

Step 1: Identify Target Leaderboards

Navigate to Product Hunt leaderboards and select time periods:

• Daily leaderboards: Track specific launch days or competitive benchmarking
• Weekly leaderboards: Analyze sustained performance beyond launch
• Monthly leaderboards: Identify breakout products and long-term trends

Copy the leaderboard URLs you want to scrape.

Step 2: Configure Extraction Parameters

Set max_items_per_url based on analysis depth:

• 20-50 items: Top products only
• 100+ items: Comprehensive coverage for statistical analysis
• Monthly leaderboards may have 100+ products

Enable ignore_url_failures for batch date ranges to ensure continuity.

Step 3: Build URL Collections

For temporal analysis, create URL lists spanning multiple periods:

{
  "urls": [
    "https://www.producthunt.com/leaderboard/daily/2026/4/1",
    "https://www.producthunt.com/leaderboard/daily/2026/4/2",
    "https://www.producthunt.com/leaderboard/daily/2026/4/3"
  ]
}

Best Practices

Temporal Analysis Strategies:

• Compare weekday vs. weekend launch performance
• Track seasonal trends across monthly leaderboards
• Identify optimal launch days through daily rank analysis
• Monitor product trajectory across daily → weekly → monthly rankings

Competitive Intelligence:

• Track competitor product launches and rankings
• Analyze tagline and positioning strategies of top products
• Study featured comments for user perception insights
• Monitor topic trends to identify emerging categories

Launch Strategy Research:

• Correlate scheduled_at vs. featured_at for optimal timing
• Analyze launch_day_score vs. latest_score for momentum patterns
• Study comments_count distribution for engagement benchmarks
• Compare promoted vs. organic product performance

Category-Specific Analysis:

• Filter by topics for vertical-specific insights
• Track category saturation and competitive intensity
• Identify underserved categories with low competition
• Monitor topic evolution and emerging subcategories

Common Use Cases

For Startup Founders:

• Research optimal launch timing and strategies
• Benchmark against competitor launches
• Identify successful tagline patterns
• Study community engagement tactics

For Investors:

• Track emerging startups and trending products
• Identify high-momentum products for investment pipeline
• Monitor market trends across categories
• Analyze product-market fit signals through engagement

For Product Managers:

• Research feature trends and product positioning
• Analyze successful launch campaigns
• Identify market gaps and opportunities
• Track competitor product evolution

For Content Creators:

• Identify trending products for coverage
• Track viral products for timely content
• Monitor community discussions and sentiment
• Source product review opportunities

Benefits and Applications

Primary Applications:

Launch Strategy Optimization: Analyze successful launches to identify optimal timing, messaging, and engagement tactics. Study correlation between scheduled timing, featured positioning, and ranking success.

Competitive Intelligence: Track competitor product launches, monitor their ranking performance, analyze their positioning strategies, and benchmark against market leaders.

Market Trend Analysis: Identify emerging product categories through topic clustering, track seasonal launch patterns, monitor innovation trends across industries, and detect market opportunities.

Investment Research: Discover high-potential startups through ranking performance, validate market traction through vote counts and engagement, track product evolution post-launch, and identify investment opportunities early.

Product Strategy Research: Study successful product positioning through taglines, analyze feature trends in top-ranked products, understand community preferences through comments and voting, and identify product-market fit signals.

Advantages:

• Multi-period ranking data (daily/weekly/monthly) for comprehensive analysis
• Temporal tracking enables longitudinal success pattern studies
• Rich engagement metrics (votes, comments, featured status)
• Category classification through topics field
• Launch timing data for strategic optimization

The structured output integrates with analytics platforms, BI tools, and research databases, enabling immediate analysis for product strategy, competitive intelligence, and market research.

Conclusion

The Product Hunt Leaderboard Scraper transforms manual tracking into automated intelligence gathering. By providing structured access to Product Hunt's ranking data across time periods, it enables data-driven decisions about product launches, competitive positioning, and market opportunities.

Whether you're optimizing launch strategies, tracking competitors, researching market trends, or identifying investment opportunities, this scraper delivers the systematic data extraction needed to accelerate your product intelligence.

Ready to unlock Product Hunt insights? Start extracting leaderboard data today and transform your product market intelligence.

Your feedback

We are always working to improve Actors' performance. So, if you have any technical feedback about Product Hunt Products Listings Scraper or simply found a bug, please create an issue on the Actor's Issues tab in Apify Console.