Product Hunt Scraper: Launches, Upvotes & Makers

Get Product Hunt launches as a table: every product from the daily, weekly or monthly leaderboard for any date range, with rank, upvotes, comment count, tagline, topics and launch date. Turn on Include product details to add the makers, hunter, website, description and pricing type of each launch, plus a product row with rating, reviews, followers, launch history and alternatives. Product pages, topic and category lists, keyword search and comments work too.

The Actor reads the data Product Hunt's own pages are built from: no API key, token or login. $1 per 1,000 launches, plus $3 per 1,000 with product details. No start fee, and proxy and platform costs are included in these prices.

What you get

• Launch: name, tagline, launch URL, product URL, launch date, thumbnail, featured flag
• Ranking: daily, weekly and monthly rank, upvotes (now and on launch day), comment count, topics
• Team (details on): makers and hunter with Product Hunt profile links, website, description, pricing type, badges
• Product (details on): rating, review count, followers, every launch, categories, alternatives, social links
• Comments (optional): text, author handle, upvotes, date, maker / hunter flag, reply threads

Try it: with the default input the Actor scrapes yesterday's daily leaderboard (about 20 launches) in under a minute, for about 2 cents. Turn on Include product details to see makers and websites (about 8 cents for the same leaderboard).

Sample output (one launch with details on, trimmed; the full field list and examples follow below):

{
  "name": "Nex",
  "tagline": "Claude Cowork for high-volume GTM workflows",
  "websiteUrl": "https://nex.ai",
  "launchDate": "2026-09-03T00:01:00-07:00",
  "dailyRank": 1,
  "upvotes": 356,
  "commentsCount": 27,
  "topics": ["Sales", "SaaS", "Artificial Intelligence"],
  "pricingType": "free_options",
  "makers": [{ "name": "Francisco Dias", "username": "frandias", "url": "https://www.producthunt.com/@frandias" }],
  "url": "https://www.producthunt.com/products/nex-4?launch=nex-4"
}

What data does Product Hunt Scraper extract?

Every item has a type field: launch, product or comment.

Launch items (type: "launch", mode leaderboard)

Field	Description
id, slug, name, tagline	Launch identity as shown on Product Hunt
url, productUrl, productSlug	Launch page (/products/<product>?launch=<slug>) and the product it belongs to
websiteUrl	Outbound website link (needs Include product details; null on plain leaderboard rows)
redirectUrl	Product Hunt's /r/p/<id> redirect to the maker's site (always present)
launchDate	ISO 8601 with Pacific offset, e.g. 2026-09-03T00:01:00-07:00
rank, leaderboardPeriod, leaderboardDate	Position on the leaderboard you scraped: daily + 2026-09-03, weekly + 2026-W36, monthly + 2026-08
upvotes, launchDayUpvotes	Current upvote count and the count at the end of launch day
commentsCount	Number of comments
topics	Topic names, e.g. ["Sales", "SaaS", "Artificial Intelligence"]
thumbnailUrl	Launch thumbnail
dailyRank, weeklyRank, monthlyRank	Ranks Product Hunt assigned for the day, week and month of the launch
makers, hunter	[{name, username, url}] and {name, username, url} (public profile handles; needs Include product details)
description, pricingType, badges, promoCode, promoText	Full launch description, free / free_options / paid, top-post badges, launch promo (needs Include product details)
isFeatured, launchState, productState	Featured flag and states as reported by Product Hunt

Product items (type: "product", modes products, topic, search, or Include product details)

Field	Description
id, slug, name, tagline, description, url	Product identity and page
websiteUrl, websiteDomain	Maker's website
rating, reviewsCount, founderReviewsCount, ratingDistribution, reviewsSummary, pros, cons	Review score (0-5), review counts, star histogram, Product Hunt's AI review summary and the most cited pros/cons
followersCount	Product followers
launchesCount, launches, latestLaunch, firstLaunchDate, totalUpvotes	Number of launches, the most recent launches ({id, slug, name, tagline, url, launchDate, upvotes, commentsCount, dailyRank, weeklyRank, monthlyRank, badges}) and the sum of their upvotes
makers, hunter, pricingType, topics	Team handles, hunter and pricing of the focused launch
categories, tags	Product Hunt categories and tags
alternatives, alternativesCount	[{slug, name, tagline, url, rating, reviewsCount}] from the "Alternatives" block
badges, goldenKittyAwards	Top-post awards and Golden Kitty awards
logoUrl, media, socialLinks, iosUrl, androidUrl	Logo, gallery images, {twitter, linkedin, instagram, github, ...} and app store redirects
employeeSize, fundingAmount, wasInYCombinator, isTopProduct, isClaimed, isNoLongerOnline	Company facts when Product Hunt shows them
source	product (page opened), or topic / category / search for listing summaries, which carry topicSlug, categorySlug or searchTerm

Listing summaries (topic, search modes without Include product details) contain the subset Product Hunt shows in the list: name, tagline, rating, reviews, followers, launches count, latest launch date, categories, tags, logo.

Comment items (type: "comment", Include comments)

id, postId, postSlug, productSlug, text (plain text), author {name, username, url}, upvotes, createdAt, isMaker, isHunter, parentId (for replies), repliesCount, isSticky, isPinned, award, url.

How to use Product Hunt Scraper

1. Pick a Mode.
2. leaderboard: set Date from / Date to (YYYY-MM-DD, default yesterday) and the Leaderboard period. products / topic: paste product, launch, topic or category URLs into Start URLs. search: enter Search terms.
3. Turn on Include product details for makers, website and product data, and Include comments for the discussion.
4. Set Max items to cap the run (and the cost). Click Start; results appear in the Dataset tab.

Input example

{
  "mode": "leaderboard",
  "leaderboardPeriod": "daily",
  "dateFrom": "2026-09-01",
  "dateTo": "2026-09-07",
  "includeProductDetails": true,
  "includeComments": false,
  "maxItems": 500
}

{ "mode": "products", "startUrls": [{ "url": "https://www.producthunt.com/products/notion" }, { "url": "https://www.producthunt.com/posts/ai-toolbox-3-0" }], "includeComments": true, "maxCommentsPerLaunch": 50 }

{ "mode": "topic", "startUrls": [{ "url": "https://www.producthunt.com/topics/artificial-intelligence" }], "maxItems": 300 }

Output example

{
  "type": "launch",
  "id": "1239953",
  "slug": "nex-4",
  "name": "Nex",
  "tagline": "Claude Cowork for high-volume GTM workflows",
  "url": "https://www.producthunt.com/products/nex-4?launch=nex-4",
  "productUrl": "https://www.producthunt.com/products/nex-4",
  "websiteUrl": "https://nex.ai",
  "launchDate": "2026-09-03T00:01:00-07:00",
  "rank": 1,
  "leaderboardPeriod": "daily",
  "leaderboardDate": "2026-09-03",
  "upvotes": 356,
  "launchDayUpvotes": 325,
  "commentsCount": 27,
  "topics": ["Sales", "SaaS", "Artificial Intelligence"],
  "thumbnailUrl": "https://ph-files.imgix.net/7d330afb-0e5a-48fa-8c93-85ff4b8e62e6.png?auto=format",
  "pricingType": "free_options",
  "makers": [{ "name": "Francisco Dias", "username": "frandias", "url": "https://www.producthunt.com/@frandias" }],
  "hunter": { "name": "Najmuzzaman Mohammad", "username": "najmuzzaman", "url": "https://www.producthunt.com/@najmuzzaman" },
  "dailyRank": 1,
  "weeklyRank": 10,
  "monthlyRank": 9,
  "badges": [{ "type": "TopPostBadge", "position": 1, "period": "daily", "date": "2026-09-03" }]
}

{
  "type": "product",
  "slug": "notion",
  "name": "Notion",
  "tagline": "The all-in-one workspace",
  "url": "https://www.producthunt.com/products/notion",
  "websiteUrl": "https://www.notion.so",
  "rating": 4.83,
  "reviewsCount": 1393,
  "followersCount": 18552,
  "launchesCount": 25,
  "launches": [{ "slug": "ship-os-by-notion", "name": "Ship OS by Notion", "launchDate": "2026-07-10T00:01:00-07:00", "upvotes": 170, "dailyRank": 9 }],
  "makers": [{ "name": "Ryan Nystrom", "username": "_ryannystrom", "url": "https://www.producthunt.com/@_ryannystrom" }],
  "categories": ["Note and writing apps", "Project management software"],
  "alternatives": [{ "slug": "fibery", "name": "Fibery", "rating": 4.95, "reviewsCount": 37 }],
  "socialLinks": { "twitter": "https://x.com/notion", "linkedin": "https://www.linkedin.com/company/notionhq/" }
}

How to scrape the Product Hunt daily leaderboard

Leave Mode on leaderboard, set Date from and Date to to the days you want (Product Hunt days roll over at midnight US Pacific time; yesterday is the latest complete day) and keep Leaderboard period on daily. Each day yields every featured launch in rank order with rank, upvotes, commentsCount, topics and launchDate. Use a Schedule to run it every morning and build a launch history, or pass leaderboard URLs such as https://www.producthunt.com/leaderboard/daily/2026/9/3 in Start URLs instead of dates.

Can I get the weekly and monthly leaderboards?

Yes. Set Leaderboard period to weekly or monthly; every ISO week or month touched by the date range is scraped, and the whole ranking is paged through (not just the first 20 rows that the page shows on load) until Max items is reached. leaderboardDate is 2026-W36 or 2026-08 accordingly.

How to get makers, hunter and website of each launch

Turn on Include product details. The Actor opens each launch page (one extra request per launch) and fills makers, hunter, websiteUrl, description, pricingType and badges on the launch item, and also saves one product item per product with rating, reviews, followers, launch history and alternatives. Maker and hunter fields contain the public display name and @username shown on Product Hunt; add Include maker and hunter links for their public profile links (see below).

How to get maker links and website contacts

Two optional add-ons, both off by default and both implying Include product details:

• Include maker and hunter links opens the Product Hunt profile of every maker and the hunter (one request per person, cached within a run) and adds to each person headline, followersCount, twitterUrl, linkedinUrl, websiteUrl and links ([{kind, name, url}]): exactly the links the person chose to show on their public profile. People who show no links get an empty links list. Charged as the Maker profile event.
• Include website contacts opens the product's own website (home page plus at most 3 likely pages such as /contact and /about, robots.txt respected) and adds a websiteContacts object to the launch and product items: emails, phones, social links (twitters, linkedIns, facebooks, instagrams, youtubes, githubs, ...), contactPageUrl, pagesVisited and status. Only addresses and numbers written on those pages are returned; nothing is guessed or constructed, and many sites publish no email at all. Charged as the Website with contacts event, only when at least one email, phone number or social link was found.

Example of the added fields:

{
  "makers": [{ "name": "Adi Leviim", "username": "adi_leviim", "url": "https://www.producthunt.com/@adi_leviim",
    "headline": "AI Toolbox co-founder", "twitterUrl": "https://x.com/PixelOracleAI",
    "linkedinUrl": "https://www.linkedin.com/in/adi-leviim/", "websiteUrl": "https://ai-toolbox.co",
    "links": [{ "kind": "website", "name": "AI Toolbox", "url": "https://ai-toolbox.co" }] }],
  "websiteContacts": { "status": "ok", "emails": ["support@infi-dev.com"], "phones": [],
    "twitters": ["https://x.com/get_ai_toolbox"], "linkedIns": ["https://www.linkedin.com/company/getaitoolbox"],
    "contactPageUrl": "https://ai-toolbox.co/contact-us", "pagesVisited": 4 }
}

How to scrape Product Hunt comments

Turn on Include comments (in leaderboard or products mode). Each launch's discussion is saved as comment items with plain text, author, upvotes, createdAt, isMaker / isHunter flags and parentId for replies, up to Max comments per launch. The first page comes with the launch page; further pages are loaded through the site's own GraphQL endpoint.

Does it work without a Product Hunt account or API key?

Yes. The Actor reads the public pages exactly as a logged-out visitor sees them; it does not use the official Product Hunt API, so there are no API tokens, rate-limit quotas or OAuth apps to manage. Pages are fetched with browser-grade TLS and retried with a fresh proxy session on 403/429, which is why it keeps working when simple HTTP scrapers get blocked.

Proxy note

Product Hunt started Cloudflare-challenging both datacenter and residential Apify Proxy IPs, so this Actor uses Apify's Unblocker proxy by default. The proxy and all other platform usage are included in the per-item prices, so you pay only the item fees below, whatever proxy the run uses. One request returns a full leaderboard, product or listing page (many items); Include product details, Include comments and Include maker and hunter links add requests through the Unblocker, which is why they are priced as separate events. Product websites for Include website contacts are fetched with Apify datacenter proxy, never the Unblocker, and that usage is included in the event price.

What does it cost?

Pay per item, no subscription and no start fee: a leaderboard launch or listing row costs a tenth of a cent, a product item (one page opened) a third of a cent, a comment a twentieth of a cent. The optional add-ons are priced per item opened: Maker profile and Website with contacts (see the Pricing tab). A daily leaderboard with about 20 launches costs about 2 cents without details and about 8 cents with product details. Apify's free plan covers hundreds of leaderboards a month.

Integrations and API

Use the run in Zapier, Make, n8n, Google Sheets, or call it from Python/Node with the Apify client. See the API tab for ready-made snippets, or schedule the Actor to keep a launch feed fresh.

Is it legal to scrape Product Hunt?

This Actor collects only publicly available data that Product Hunt shows to anyone without an account: launches, products, upvote counts, topics, comments and the public handles of makers and hunters. It does not log in. The optional website contacts are emails, phone numbers and social links that a company publishes on its own website, and the maker links are those people show on their public Product Hunt profile; nothing is guessed, constructed or taken from behind a login. You are responsible for how you use the data and for complying with Product Hunt's terms and applicable law.

Support

Found a bug or need a field added? Open an issue in the Issues tab; it is usually answered within a day.

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