Product Hunt Scraper — Launches, Reviews, Comments & Contact Emails

Turn any Product Hunt URL into a clean, structured dataset. Start from daily/weekly/monthly/yearly leaderboards, a date range, topics, categories, collections, individual products, or maker profiles — all auto-classified from one input.

Get 50+ fields per product including votes, rank, comments, and a media gallery — plus makers and the hunter with LinkedIn, optional detailed reviews, discussion threads + full comment bodies, and contact emails harvested from each product's own website. No Product Hunt API key. Pure HTTP, no browser.

Why Use This Scraper?

• ✅ Every Product Hunt entry point in one input — paste leaderboards, topics, categories, collections, products, and maker profiles together; each is auto-classified
• ✅ Date range (startDate / endDate) and featuredOnly without walking the homepage unbounded
• ✅ Rankings built in — vote counts, daily/weekly/monthly rank, comment counts, and the featured timestamp on every leaderboard-sourced row
• ✅ Makers + hunter on every product — name, headline, profile, follower count, LinkedIn and X. No API token
• ✅ Optional detailed reviews — full review text, five per-dimension ratings, and selected pros/cons per product
• ✅ Optional discussion threads + full comment bodies — no API token
• ✅ Contact emails harvested from each product's own website (mailto + plain-text, junk-filtered, deduped per site)
• ✅ Business fields the other scrapers skip — funding amount, employee band, YC flag, alternatives, review pro/con tags
• ✅ JSON or CSV output, ready for spreadsheets and CRMs

Coming from another Product Hunt scraper?

You already get here	Often missing elsewhere
Collections + /collections + /categories/{slug} + /search?q=	Search-only, or no category URL
startDate / endDate + featuredOnly	Homepage walk with no date picker
Homepage walk-back across recent daily leaderboards	A single "today" snapshot
Reviews with 5 ratings, pos/neg text, selected pros/cons	Star + a text blob
Discussion threads (title, preview, pin, author) and comment bodies	Flat comments, or bodies behind a PH API key
fundingAmount, employeeSize, wasInYCombinator	Explicitly not scraped
alternatives[], proConTags[]	—
Company emails on by default, junk-filtered	Off by default, or billed as a separate event
Makers + hunter + founder LinkedIn, no API key	Token required, or LinkedIn omitted

Overview

The Product Hunt Scraper is built for founders, marketers, VCs, and researchers who need Product Hunt data in a spreadsheet instead of a browser tab.

The output is primarily product-shaped rows. Even when you start from a leaderboard, topic, category, or collection URL, the resulting dataset is a stream of product rows (rowType: "product") — not separate leaderboard or collection rows. The exception is a direct maker profile URL (/@username), which emits a single maker row (rowType: "maker").

The parser reads Product Hunt's server-rendered Apollo cache (the same data the page UI uses) rather than scraping rendered HTML, so it stays resilient to PH's frequent visual redesigns. URLs are auto-classified by shape — you just paste them, you don't tag them.

Supported Inputs

URL types

URL type	Pattern	Example
Homepage	producthunt.com/	https://www.producthunt.com/
Daily leaderboard	/leaderboard/daily/YYYY/M/D	https://www.producthunt.com/leaderboard/daily/2026/5/22
Weekly leaderboard	/leaderboard/weekly/YYYY/WW	https://www.producthunt.com/leaderboard/weekly/2026/20
Monthly leaderboard	/leaderboard/monthly/YYYY/M	https://www.producthunt.com/leaderboard/monthly/2026/5
Yearly leaderboard	/leaderboard/yearly/YYYY	https://www.producthunt.com/leaderboard/yearly/2025
Topic page	/topics/{slug}	https://www.producthunt.com/topics/artificial-intelligence
Category page	/categories/{slug}	https://www.producthunt.com/categories/ai-agents
Search	/search?q=…	https://www.producthunt.com/search?q=ai+agent
Collection	/collections/{slug}	https://www.producthunt.com/collections/best-ai-tools
Collections index	/collections	https://www.producthunt.com/collections
Product detail	/products/{slug} or /posts/{slug}	https://www.producthunt.com/products/bolt-new
Maker profile	/@{username}	https://www.producthunt.com/@ericsimons40

Homepage and listing URLs (leaderboards, topics, categories, collections) fan out to product rows and stop once maxItems is reached. The homepage walks recent daily leaderboards (newest first). A category URL uses the first server-rendered page (~15 products).

Copy-pasteable startUrls

{
  "startUrls": [
    "https://www.producthunt.com/leaderboard/daily/2026/5/22",
    "https://www.producthunt.com/leaderboard/weekly/2026/20",
    "https://www.producthunt.com/topics/artificial-intelligence",
    "https://www.producthunt.com/categories/ai-agents",
    "https://www.producthunt.com/search?q=ai+agent",
    "https://www.producthunt.com/collections/best-ai-tools",
    "https://www.producthunt.com/products/bolt-new",
    "https://www.producthunt.com/@ericsimons40"
  ]
}

startUrls accepts both plain strings ("https://…") and request objects ({ "url": "https://…" }) — mix freely.

Unsupported inputs

• ❌ Content behind a Product Hunt login (private/draft launches, account settings)
• ❌ Hosts outside producthunt.com

Use Cases

Audience	Use case
Founders & indie makers	Track competitor launches, benchmark votes/rank, study winning taglines, reviews, and media
Marketing & growth teams	Build outreach lists from new launches with contact emails attached
VCs & scouts	Source deals from daily/weekly leaderboards; filter by funding, YC alumni, traction, review sentiment
Sales / lead-gen	Turn leaderboards + collections into a ready-to-import prospect list
Researchers & analysts	Bulk-export launches, reviews, and discussions across topics and time periods
Agencies	Deliver client-ready Product Hunt datasets without writing a scraper

How It Works

1. Input — paste any mix of Product Hunt URLs (homepage, leaderboards, topics, categories, collections, products, makers) and optionally a date range
2. Auto-classify & fan out — each URL is routed to the right handler; listing URLs expand to their products
3. Fetch — pages are retrieved over HTTP with a real Chrome TLS fingerprint (passes Cloudflare without a browser)
4. Parse & enrich — the Apollo cache is read for 50+ fields, makers, hunter, votes/rank, and the media gallery; maker profiles add LinkedIn; optionally add reviews, comment bodies, and contact emails from each product's site
5. Output — one product row per launch (or one maker row per /@username), as JSON or CSV

Input Configuration

Field	Type	Required	Notes
startUrls	array<string | { url }>	no	Any mix of supported Product Hunt URLs. Auto-classified. Empty + no dates → today's daily leaderboard.
startDate / endDate	YYYY-MM-DD	no	Inclusive daily-leaderboard range. One date alone = that day. Homepage + a range uses the range, not an unbounded walk-back.
featuredOnly	boolean	no	Default false. Skip fan-out launches with no featuredAt. Pasted product/maker URLs and search hits are kept.
searchQueries	string[]	no	Keyword searches, expanded to /search?q= (paginated, ~10/page).
leanMode	boolean	no	Default false. Skip emails, reviews, comments, add-ons, and maker-profile fetches.
scrapeAddons	boolean	no	Default false. Attach builtWith[] from /products/{slug}/addons.
enrichMakerEmails	boolean	no	Default true. For each product, fetch its websiteUrl and harvest emails (junk-filtered, capped at 10/site, deduped per URL). Each unique email found is billed as a small add-on (see Store pricing). Disable for pure PH metadata (~30% faster).
scrapeReviews	boolean	no	Default false. Attach detailed reviews per product (one extra request each).
maxReviews	integer	no	Default 50. PH server-renders ~10, so higher values rarely add more.
scrapeComments	boolean	no	Default false. Attach discussion threads and full comment bodies from the launch page (one extra request each). No token.
maxComments	integer	no	Default 20. Cap on comment bodies per launch.
apiToken	string (secret)	no	Unused for makers, hunter, LinkedIn, or comments. Leave blank. Fallback only if a launch page has no SSR makers/comments.
maxItems	integer	no	Hard cap on total dataset rows. Default 2000. Free-tier runs are capped at 100.
maxConcurrency	integer	no	Detail pages fetched in parallel. Default 8 (6–10 is the sweet spot).
minConcurrency	integer	no	Minimum parallelism. Default 1.
maxRequestRetries	integer	no	Per-URL retry budget. Soft-blocks/thin bodies auto-retried with a fresh session. Default 5.
proxy	object	no	Defaults to Apify Proxy. Supply your own residential pool for geo-locked output or heavy runs.

Common scenarios

1. A day's launches with contact emails

{
  "startUrls": ["https://www.producthunt.com/leaderboard/daily/2026/5/22"],
  "enrichMakerEmails": true
}

2. Launches with reviews and discussion threads

{
  "startUrls": ["https://www.producthunt.com/products/bolt-new"],
  "scrapeReviews": true,
  "scrapeComments": true
}

3. Full enrichment — emails + makers + hunter + comment bodies

{
  "startUrls": ["https://www.producthunt.com/leaderboard/weekly/2026/20"],
  "enrichMakerEmails": true,
  "scrapeComments": true
}

4. A date range, featured launches only

{
  "startDate": "2026-09-01",
  "endDate": "2026-09-07",
  "featuredOnly": true,
  "maxItems": 200
}

Makers, hunter, LinkedIn, and comment bodies come from the pages themselves. No Product Hunt developer token.

Output Overview

Each dataset item is one of two shapes, set by rowType:

• product — emitted for every product (from leaderboards, topics, collections, the homepage, or direct product URLs). Carries the full 50+ field schema, plus reviews[], discussionThreads[], and comments[] when enabled.
• maker — emitted only for a direct /@username URL. Profile + the maker's launched products.

Notes on when fields are populated:

• Votes, rank, comments count, featuredAt are present on rows discovered via a leaderboard/topic/category/collection. They're null on a direct /products/{slug} URL (no ranking context).
• reviews[] appears only with scrapeReviews; discussionThreads[] and comments[] only with scrapeComments.
• makersEnriched + hunter (including LinkedIn when the maker published one) are on every product row. harvestedEmails requires enrichMakerEmails and a site that exposes an email.

Output is nested JSON by default; the Apify Console "Export" tab flattens it to CSV.

Output Samples

Product row — leaderboard-discovered, with reviews + threads

{
  "rowType": "product",
  "slug": "bolt-new",
  "name": "bolt.new",
  "tagline": "Prompt, run, edit & deploy full-stack web apps",
  "websiteUrl": "https://bolt.new",
  "votesCount": 661, "dailyRank": 1, "weeklyRank": 1, "commentsCount": 75,
  "featuredAt": "2026-05-15T00:01:00-07:00",
  "reviewsCount": 44, "reviewsRating": 4.7, "followersCount": 30226,
  "wasInYCombinator": false,
  "harvestedEmails": ["hello@stackblitz.com"],

  "reviews": [
    {
      "id": "535045", "overallRating": 4, "easeOfUseRating": 4, "valueForMoneyRating": 4,
      "overallExperience": null,
      "positiveFeedback": "bolt.new runs the whole thing in the browser, so you go from prompt to a running app with no local setup…",
      "negativeFeedback": null,
      "selectedPros": ["Fast prototyping", "No setup"], "selectedCons": ["Token usage"],
      "votesCount": 3, "createdAt": "2026-05-20T10:11:00-07:00",
      "reviewer": { "name": "Jane D.", "username": "janed", "isVerified": true }
    }
    /* … up to ~10 reviews … */
  ],
  "discussionThreads": [
    {
      "id": "717330", "title": "AMA w/ CEO of Bolt — from $0 to $20M",
      "descriptionPreview": "Live Feb 28th, 9am PT — drop your questions!",
      "commentsCount": 28, "isPinned": false, "createdAt": "2026-02-26T08:00:00-08:00",
      "author": { "username": "ericsimons40", "name": "Eric Simons" }
    }
  ],
  "comments": [
    { "id": "5816849", "body": "Hey Product Hunt! Safi here from the team…", "votesCount": 32, "author": { "username": "safi_amin" } }
  ],
  "makersEnriched": [
    { "name": "Safi Amin", "username": "safi_amin", "headline": "PM at SandboxAQ", "linkedinUrl": "https://www.linkedin.com/in/safiamin", "followersCount": 16 }
  ],
  "hunter": { "name": "fmerian", "username": "fmerian", "profileUrl": "https://www.producthunt.com/@fmerian" },

  "scrapedAt": "2026-06-14T11:42:00.000Z"
  /* plus githubUrl/twitterUrl/etc., media[], categories[], proConTags[],
     business fields, latestLaunch, searchContext, and `raw` (full Apollo block) */
}

Maker row — direct /@username

{
  "rowType": "maker",
  "sourceUrl": "https://www.producthunt.com/@ericsimons40",
  "username": "ericsimons40",
  "name": "Eric Simons",
  "headline": "CEO @StackBlitz",
  "twitterUsername": "ericsimons40",
  "twitterUrl": "https://x.com/ericsimons40",
  "linkedinUrl": null,
  "links": [{ "kind": "twitter", "name": "Twitter", "url": "https://twitter.com/ericsimons40" }],
  "productsCount": 8,
  "followersCount": 1944,
  "followingCount": 2,
  "products": [ { "id": "599447", "name": "bolt.new" } ],
  "scrapedAt": "2026-06-14T11:42:00.000Z"
}

Key Output Fields

Identity & links

• rowType, productId, slug, name, tagline, description, sourceUrl, canonicalUrl
• websiteUrl, githubUrl, iosUrl, androidUrl, twitterUrl, linkedinUrl, facebookUrl, instagramUrl

Ranking, engagement & media

• votesCount, launchDayScore, dailyRank, weeklyRank, monthlyRank, commentsCount, featuredAt
• reviewsCount, reviewsRating, followersCount
• media[] — mediaType (image/video), imageUuid, width, height, videoId

Business, categories & sentiment

• employeeSize, fundingAmount, wasInYCombinator, isTopProduct, isNoLongerOnline
• categories[], latestLaunch, firstPost, alternatives[], proConTags[], builtWith[] (with scrapeAddons)

Reviews (with scrapeReviews)

• reviews[].overallRating, .easeOfUseRating, .reliabilityRating, .valueForMoneyRating, .customizationRating
• reviews[].overallExperience, .positiveFeedback, .negativeFeedback, .selectedPros, .selectedCons, .votesCount, .reviewer

Discussion & comments (with scrapeComments)

• discussionThreads[].title, .descriptionPreview, .commentsCount, .isPinned, .author
• comments[].body, .votesCount, .url, .author

People

• makersEnriched[] / hunter — name, username, headline, profileUrl, followersCount, linkedinUrl, twitterUrl, links[]
• Maker rows also carry followingCount, linkedinUrl, links[]

Enrichment (optional)

• harvestedEmails[] (with enrichMakerEmails)

Discovery context

• searchContext.discoveryUrl, .resultPosition, .leaderboardDate, .topicSlug, .collectionSlug

FAQ

Which Product Hunt URLs are supported?

Homepage, daily/weekly/monthly/yearly leaderboards, a startDate/endDate range, topics, /categories/{slug} (first SSR page), /search?q= (or searchQueries), collections (and the /collections index), product detail (/products/{slug} or /posts/{slug}), and maker profiles (/@username). Mix any of them in startUrls.

Do I get product rows or leaderboard/collection rows?

Product rows. Leaderboards, topics, categories, collections, and the homepage all fan out to product rows (rowType: "product"). Only a direct /@username URL produces a maker row.

What do scrapeReviews and scrapeComments add?

scrapeReviews attaches a reviews[] array (full text, five ratings, pros/cons, reviewer). scrapeComments attaches discussionThreads[] and full comments[] bodies from the launch page. Each adds one HTTP request per product and is off by default.

Do I need a Product Hunt API token?

No. Makers, hunter, LinkedIn, reviews, and comment bodies are read from public Product Hunt pages. apiToken is an unused fallback — leave it blank.

How do I get makers and the hunter?

They are on every product row (makersEnriched[], hunter). LinkedIn is filled when the maker published one on their Product Hunt profile.

Can I search by keyword?

Yes. Paste https://www.producthunt.com/search?q=ai+agent or set searchQueries: ["ai agent"]. Results are in the page HTML (productSearch, ~10 per ?page=).

How do I scrape a date range?

Set startDate and endDate (YYYY-MM-DD). The actor expands them into daily leaderboards. One date alone scrapes that day. You can also paste other URLs in the same run. A homepage URL plus a range uses the range, not an unbounded walk-back.

What does featuredOnly do?

When true, listing fan-out (leaderboard / topic / category / collection) skips launches with an empty featuredAt. Product and maker URLs you paste yourself are always kept.

Why are votesCount / dailyRank sometimes null?

Those come from a leaderboard/topic/category/collection's ranking data. A direct /products/{slug} URL has no ranking context, so they're null. Reach a product via a leaderboard to get them.

Some products have harvestedEmails: [] — why?

Email harvesting is best-effort. A site may not publish an email, may load it via JavaScript, or may obfuscate it. Realistic harvest rate is roughly 30–50% of product sites.

Can I scrape private or login-gated content?

No. The actor only reads publicly available pages. Anything behind a Product Hunt login is out of scope.

What about rate limits?

The scraper runs cleanly at maxConcurrency=8; lower it or add a residential proxy if you see soft-blocks. Maker-profile fetches (for LinkedIn) are cached per username for the run.

Support

Found a bug, hit a soft-block we don't detect, or want another URL kind supported? Open an issue on the actor's Issues tab, or reach out via the memo23 profile on Apify.

Additional Services

Need a custom export shape, a new entry point, or scheduled monitoring? I build tailored scrapers and enrichment pipelines — get in touch via the memo23 profile.

Explore More Scrapers

If you track Product Hunt launches, founders, and prospects, these pair well:

• Y Combinator Scraper — companies + jobs from YC; cross-reference the wasInYCombinator flag
• G2 Scraper — see how a launched SaaS ranks on G2 reviews
• Trustpilot Scraper — customer sentiment for products you discover
• LinkedIn Profiles Scraper — backfill founder profiles for makers
• PagesJaunes Leads Scraper — bulk B2B leads with emails

Full portfolio: apify.com/memo23.

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🤖 For AI Agents & LLM Apps

Compact reference for AI agents calling this actor via the Apify MCP server or the Apify API (actor: memo23/producthunt-scraper).

Purpose: Turn any Product Hunt URL (leaderboards, date range, topics, categories, collections, products, maker profiles) into structured product rows read from PH's server-rendered Apollo cache, with optional reviews, discussion threads, and contact emails.

Minimal input:

{
  "startUrls": ["https://www.producthunt.com/leaderboard/daily/2026/5/22"],
  "maxItems": 20
}

Output: one row per product (rowType: "product") with slug, name, tagline, websiteUrl, votesCount, dailyRank, weeklyRank, monthlyRank, commentsCount, featuredAt, reviewsCount, reviewsRating, followersCount, wasInYCombinator, media[], categories[], harvestedEmails[], and (when enabled) reviews[], discussionThreads[], comments[], makersEnriched[], hunter, searchContext, scrapedAt. A direct /@username URL emits one maker row (rowType: "maker") with username, name, headline, productsCount, followersCount, products[].

Behaviors an agent should know:

• Always set maxItems (default 2000): a topic page can fan out to hundreds of products; a single daily leaderboard yields ~17-30. Free-tier runs cap at 100.
• startUrls are auto-classified; leaderboards/topics/categories/collections/homepage fan out to product rows, /products/{slug} emits one product, /@username emits one maker row.
• startDate/endDate expand to daily leaderboards. featuredOnly drops unfeatured listing rows; pasted product/maker URLs stay.
• scrapeReviews and scrapeComments are off by default and each add one request per product. makersEnriched / hunter (with LinkedIn when published) are always populated from the page — no apiToken.
• votesCount/dailyRank are null on direct product URLs (no ranking context); reach a product via a leaderboard to populate them.
• Pay-per-event billing — see the Pricing tab on the actor page. The optional email enrichment (enrichEmails) is charged only per contact email found, never for misses.

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⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Product Hunt or any of its parent companies or subsidiaries. All trademarks mentioned are the property of their respective owners.

The scraper accesses only publicly available Product Hunt pages — no authenticated endpoints, private launches, or content behind the producthunt.com login wall. Users are responsible for ensuring their use complies with Product Hunt's Terms of Service, applicable data-protection law (GDPR, CCPA, etc.), and any contractual obligations of their own organization. Harvested contact emails and founder profile links are personal data — process them responsibly, honor opt-outs, and seek legal advice before outbound marketing.

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