Product Hunt Product Details Scraper — Makers, Reviews, Website & Launch History

Product Hunt Product Details Scraper takes Product Hunt product URLs (e.g. https://www.producthunt.com/products/tidyread) and returns one detailed record per product. Each record covers name, tagline, description, website and social links (X/Twitter, LinkedIn, Facebook, Instagram, GitHub, Threads, Medium, AngelList), iOS and Android app links, followers, rating breakdown, user reviews, makers, topics, media, awards, alternatives and every past launch with rank and votes. No login. $0.02 per product.

Where this fits in the ScrapeVerse Product Hunt pipeline

1. Need product URLs? Get every launch for any date with Product Hunt Archive List Scraper.
2. Deep product and maker data → Product Hunt Product Details Scraper (you are here)
3. Contact the makers → find their LinkedIn profiles with LinkedIn User Profile URL Mass Finder (use Maker Name - Product Name as the query)

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Before you run: input checklist

Check	What to do
Use product page URLs	✅ https://www.producthunt.com/products/<slug>. Extra parameters like ?launch=... are stripped automatically.
Bulk input	Paste many URLs, upload a file or link a Google Sheet in startUrls. One URL = one result.
Where to get URLs	The productURL field from Product Hunt Archive List Scraper is already in the right format.
Proxy	Nothing to configure. US residential proxies are built in.

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What data does the Product Hunt product scraper extract?

Field group	Output keys	Typical use
Product	id, slug, name, tagline, description, url, avatarUrl, followersCount	Product databases, directories
Website & socials	websiteUrl, twitterUrl, linkedinUrl, facebookUrl, instagramUrl, githubUrl, threadsUrl, mediumUrl, angellistUrl	Lead enrichment, outreach channels
Apps	iosUrl, androidUrl	Mobile app research
Makers	makers[]: name, headline, username, avatarUrl	Founder outreach, recruiting
Ratings & reviews	reviewsRating, reviewsCount, ratingSpecificCount (1–5★ split), productReviews[] (text, rating, date, user, threads)	Sentiment analysis, social proof
Launch history	launches[]: name, tagline, date, dailyRank, weeklyRank, monthlyRank, votesCount, commentsCount, scores, badges	Launch benchmarking
Market context	topics[], categories[], categoriesCount, alternatives[], awards[]	Competitor discovery, category mapping
Media	media[] (screenshots, images and videos)	Visual research, directory listings

Fields are empty when the product hasn't added them on Product Hunt (e.g. no LinkedIn link).

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How to scrape Product Hunt product details

1. Add product URLs to startUrls.
2. Click Start.
3. Export to JSON, CSV or Excel, or send makers and websites to your CRM.

Input example

{
    "startUrls": [
        { "url": "https://www.producthunt.com/products/tidyread" },
        { "url": "https://www.producthunt.com/products/xcreate?launch=xcreateai" }
    ]
}

Output example (trimmed)

{
    "id": "953458",
    "slug": "xcreate",
    "name": "XcreateAI",
    "tagline": "Brand Seeding on Social Media – From $5",
    "description": "XcreateAI connects visionary brands with dynamic nano-influencers globally through AI...",
    "followersCount": 370,
    "websiteUrl": "https://www.xcreate.ai",
    "twitterUrl": "https://x.com/xxxxcreate",
    "linkedinUrl": "",
    "reviewsRating": 5,
    "reviewsCount": 5,
    "ratingSpecificCount": { "1": 0, "2": 0, "3": 0, "4": 0, "5": 5 },
    "makers": [
        { "name": "Xenia", "headline": "XcreateAI Cofounder", "username": "xenia1234", "avatarUrl": "https://ph-avatars.imgix.net/7548972/..." }
    ],
    "productReviews": [
        {
            "description": "Great idea to expand your reach effortlessly!",
            "rating": 5,
            "createdAt": "2025-02-24T06:03:30-08:00",
            "user": { "name": "Irina Buzun", "username": "irina_buzun" }
        }
    ],
    "launches": [
        {
            "createdAt": "2025-03-04T00:01:00-08:00",
            "name": "XcreateAI",
            "dailyRank": "19",
            "weeklyRank": "105",
            "monthlyRank": "436",
            "votesCount": 201,
            "commentsCount": 44,
            "productURL": "https://www.producthunt.com/products/xcreate"
        }
    ],
    "topics": ["Social Media", "Artificial Intelligence", "Influencer marketing"],
    "media": ["https://ph-files.imgix.net/974fdbb6-dc98-47fc-b0bc-03e755aa4e75.png"],
    "alternatives": [],
    "url": "https://www.producthunt.com/products/xcreate",
    "inputURL": "https://www.producthunt.com/products/xcreate?launch=xcreateai"
}

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How much does it cost?

Pay-per-event pricing: $0.02 per product ($20 per 1,000). Each product is one result, including all its reviews, makers and launches. Apify platform usage (compute and residential proxies) is included, plus a negligible $0.00005 start fee per run.

What does Apify's free $5 monthly credit get you? About 250 fully detailed Product Hunt products every month for $0, enough to profile the top 25 launches every day for 10 days. The Pricing tab always shows the live rate.

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Integrations: n8n, Make, Clay, Google Sheets and API

curl -X POST "https://api.apify.com/v2/acts/scrapeverse~product-hunt-product-details-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls":[{"url":"https://www.producthunt.com/products/tidyread"}]}'

• Daily founder lead feed (n8n or Make): run Product Hunt Archive List Scraper for yesterday, keep the top N by dailyRank, send their productURL here, then push makers, websites and socials to your CRM.
• Clay: add an HTTP API column with the Product Hunt URL, map websiteUrl, linkedinUrl and makers, then find emails with Clay enrichments.
• Find makers on LinkedIn: send "<maker name> - <product name>" lines to LinkedIn User Profile URL Mass Finder.
• AI agents: callable from Claude, Cursor and other MCP clients through the Apify MCP server, for example to summarise reviews or compare alternatives.

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Use cases

• Founder and maker lead generation: reach new SaaS and AI founders with their website, socials and names in one record.
• Competitor analysis: compare ratings, reviews, alternatives and launch performance across a category.
• Launch benchmarking: see how similar products ranked and how many votes they got on launch day.
• Directories and newsletters: auto-populate product listings with tagline, description, logo and media.
• Review mining: analyse what users love or complain about in competing products.

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FAQ

Do I need a Product Hunt API token or login?

No. The scraper reads public product pages, with no API key, cookies or account.

Can I scrape by date instead of URL?

Use Product Hunt Archive List Scraper to get all launches for a date, then pass the productURL values here.

Does it return maker emails?

No. Product Hunt doesn't show emails publicly. You get maker names, usernames and headlines plus the product's website and social links, which is enough to find contacts with LinkedIn and email-finding tools.

Why are some social links empty?

The product team hasn't added them on Product Hunt. The scraper returns exactly what the product page lists.

Can I export to CSV or Excel?

Yes. Download from the run's Storage tab (CSV, Excel, JSON, XML) or via the dataset API with format=csv. Nested lists like makers and productReviews become numbered columns in CSV.

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Related ScrapeVerse scrapers

• Product Hunt Archive List Scraper: all launches for any date.
• LinkedIn User Profile URL Mass Finder: makers → LinkedIn profiles.
• LinkedIn Company Profile Scraper: enrich the startup with headcount and HQ from linkedinUrl.
• LinkedIn Jobs Scraper: see which launches are hiring.

Need Product Hunt data at scale? Contact ScrapeVerse.