🚀 ProductHunt Launches & Makers Scraper

Extract every public field from any Product Hunt product page — launches, makers, votes, reviews, ratings, screenshots, topics — using just a slug, a URL, a topic page, or a daily leaderboard date. No API key required.

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⭐ What You Get

For each product:

• Identity — name, slug, product URL, website URL
• Visuals — thumbnail + all screenshots (high-res, imgix CDN URLs)
• Engagement — upvote count, comment count, aggregate rating (1–5) with rating count
• Categorization — Product Hunt topics (Productivity, AI, Developer Tools, etc.) + application category
• Launch metadata — date published, date last modified
• Makers — name, avatar, profile URL for each founder/maker
• Reviews — rating, review body, author name+profile, date, for each review
• Operating system support tag (when set)

Everything is JSON-LD parsed + Apollo-state extracted — exactly what Product Hunt serves to Google.

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🎯 Use Cases

• Startup intelligence — track daily launches, identify trending products in your space
• VC sourcing — find founders and their products before they break out
• Recruiter sourcing — identify makers of top-rated products by category
• Competitor monitoring — watch your competitors' launch metrics over time
• Tech newsletter — daily/weekly digest of top launches with rich metadata
• Market research — survey an entire topic (e.g., all artificial-intelligence products)

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🛠️ Input

You can mix and match four ways to point the scraper at products. Provide one or more:

Field	Type	Purpose	Example
startUrls	array	Any Product Hunt URL — product, post, leaderboard, topic	https://www.producthunt.com/products/notion
productSlugs	array	Product slugs (path after /products/)	["notion", "linear", "vercel"]
topicSlugs	array	Discover all products on a topic page	["productivity", "artificial-intelligence"]
leaderboardDates	array	Discover top products from daily leaderboard (YYYY/M/D)	["2026/5/17"]
scrapeReviews	bool	Include review bodies (default: true)	true
maxRecords	int	Cap on total products (0 = unlimited)	100
requestDelay	int	ms between requests	800
maxConcurrency	int	parallel requests	4
proxyConfiguration	object	Optional Apify proxy	usually not needed

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📤 Example Output

{
  "slug": "linear",
  "productUrl": "https://www.producthunt.com/products/linear",
  "name": "Linear",
  "tagline": "The issue tracking tool you'll enjoy using",
  "websiteUrl": "https://linear.app",
  "image": "https://ph-files.imgix.net/9d9aa008-....png",
  "screenshots": ["https://ph-files.imgix.net/35d1d856....png", "..."],
  "applicationCategory": "Hiring",
  "datePublished": "2019-10-30T16:22:48-07:00",
  "dateModified": "2026-05-18T09:02:38-07:00",
  "aggregateRating": { "ratingValue": 4.91, "ratingCount": 395, "bestRating": 5, "worstRating": 1 },
  "votesCount": 29,
  "commentsCount": 38,
  "topics": [
    { "slug": "productivity", "name": "Productivity" },
    { "slug": "developer-tools", "name": "Developer Tools" }
  ],
  "makers": [
    { "name": "Karri Saarinen", "image": "https://ph-avatars.imgix.net/508/....jpeg", "profile": "https://www.producthunt.com/@karrisaarinen" }
  ],
  "reviews": [
    {
      "rating": 5,
      "body": "Linear has completely changed how our team tracks work...",
      "author": "Jane Doe",
      "authorProfile": "https://www.producthunt.com/@janedoe",
      "datePublished": "2025-08-12T..."
    }
  ],
  "scrapedAt": "2026-05-18T16:00:00.000Z"
}

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⚡ How It Works

1. Discovery phase — for each startUrl, topicSlug, or leaderboardDate, the scraper fetches the page and harvests every /products/<slug> link.
2. Detail phase — for each unique slug, it fetches /products/<slug> and parses three JSON-LD blocks (BreadcrumbList, WebApplication/Product, Reviews) plus inline Apollo state for vote/comment counts, topics, and makers.
3. Output — one normalized record per product, pushed to the dataset as it's scraped.

No login, no API key, no JavaScript rendering — pure HTTP + JSON-LD.

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💡 Tips

• Combine topicSlugs + leaderboardDates for the widest coverage.
• For a single competitor lookup, pass one productSlugs entry and set maxRecords: 1.
• If you need historical leaderboards, loop multiple leaderboardDates — each gives ~18 products.
• Default behavior with empty input scrapes Notion, Linear, and Vercel as a demo.

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📊 Limits & Behavior

• maxRecords defaults to 100 to keep runs cheap and predictable.
• Set to 0 for unlimited (but you'll hit Product Hunt's rate-limiting around 200 req/min).
• The scraper exits with FAILED status if no targets are provided and no demo defaults match.

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🛒 Related Scrapers

Looking for more discovery data?

• Y Combinator Companies Scraper — every YC company, batch, sector
• BuiltIn Tech Companies + Tech Stack Scraper — tech companies + their full stack
• H1B Visa Database Scraper — visa sponsors + salary data

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Built with ❤️ for makers, VCs, and tech intel teams.