Product Hunt

What Product Hunt can do

• Two ways to find products. Pick keyword mode to auto-generate Product Hunt search URLs, or url mode to paste homepage, search, leaderboard, topic, collection, product, or maker profile links directly.
• Three record types, one dataset. Product listings and single product pages, maker profiles, and (optionally) individual reviews all land in the same dataset with a rowType field to tell them apart.
• Optional detail enrichment on demand. Turn on public contact-email discovery on each product's own website, and/or pull the reviews already published on its Product Hunt page, and only pay the enrichment surcharge on rows actually returned.
• Record-level filters. Keep only products above a minimum review or follower count, or that expose a website or a social/source-code link, so a run returns only what you need.
• Built for recurring runs. Incremental mode returns only new and changed products on repeat runs against the same search or URL set, and unchanged rows are not billed.
• Resume a big pull. Point resumeFromRunId at an interrupted run or dataset and the next run skips everything it already collected, so a large crawl never restarts from zero.

Choose what to collect

These inputs let you configure Product Hunt – Products, Launches, Makers & Reviews. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "rowType": "product",
  "id": "product:sample-ai-assistant",
  "sourceUrl": "https://www.producthunt.com/products/sample-ai-assistant",
  "canonicalUrl": "https://www.producthunt.com/products/sample-ai-assistant",
  "slug": "sample-ai-assistant",
  "name": "Sample AI Assistant",
  "tagline": "Ship features while you sleep",
  "description": "An AI pair programmer that opens pull requests for you.",
  "logoUrl": "https://ph-files.example.com/sample-logo.png",
  "websiteUrl": "https://sample-ai-assistant.example.com",
  "twitterUrl": "https://twitter.com/sampleaiassistant",
  "githubUrl": "https://github.com/sample-org/sample-ai-assistant",
  "votesCount": 350,
  "upvotes": 350,
  "commentsCount": 10,
  "followersCount": 1240,
  "reviewsCount": 18,
  "postsCount": 3,
  "media": [
    {
      "type": "image",
      "url": "https://ph-files.example.com/shot-1.png",
      "alt": "Product screenshot",
      "width": 1280,
      "height": 800
    }
  ],
  "mediaCount": 1,
  "categories": [
    {
      "name": "AI Coding Agents",
      "path": "/topics/ai-coding-agents",
      "slug": "ai-coding-agents"
    }
  ],
  "reviews": [
    {
      "rowType": "review",
      "id": "review:sample-ai-assistant:https://www.producthunt.com/products/sample-ai-assistant#review-1",
      "productSlug": "sample-ai-assistant",
      "productUrl": "https://www.producthunt.com/products/sample-ai-assistant",
      "reviewId": "https://www.producthunt.com/products/sample-ai-assistant#review-1",
      "reviewUrl": "https://www.producthunt.com/products/sample-ai-assistant#review-1",
      "rating": 5,
      "ratingMax": 5,
      "reviewText": "Cut our release time in half.",
      "positiveNotes": [
        "Fast setup",
        "Great support"
      ],
      "negativeNotes": [],
      "reviewDate": "2026-01-14",
      "dateModified": "2026-01-14",
      "authorName": "Jordan Reviewer",
      "authorUrl": "https://www.producthunt.com/@jordan_reviewer",
      "authorImage": "https://ph-avatars.example.com/jordan.png",
      "scrapedAt": "2026-01-20T09:15:00+00:00"
    }
  ],
  "reviewsExtracted": 1,
  "averageRating": 4.6,
  "searchContext": {
    "sourceType": "search",
    "discoveryUrl": "https://www.producthunt.com/search?q=ai%20assistant",
    "resultPosition": 3,
    "keyword": "ai assistant"
  },
  "scrapedAt": "2026-01-20T09:15:00+00:00",
  "harvestedEmails": [
    "hello@sample-ai-assistant.example.com"
  ]
}

Ways to use this data

• Lead generation and outreach: collect maker names, product websites and public contact emails for tools in a category you sell into.
• Market and competitor research: track which products launch or gain traction in a topic or category over time.
• Content and newsletter curation: pull recent launches, taglines and descriptions to summarize a day's or week's top products.
• Investor and trend scouting: filter by minimum followers or reviews to surface products gaining real traction, not just noise.
• Directory and profile building: collect maker profiles and the full list of products each maker has shipped.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor