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Product Hunt Scraper

Pricing

from $1.65 / 1,000 launches

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Product Hunt Scraper

Product Hunt Scraper

Collect Product Hunt launches from leaderboards, category or topic pages, and supported Product Hunt URLs. Review names, dates, ranks, votes, categories, media, and product details in structured rows. Leave the launch limit empty to collect all available launches until the source is exhausted.

Pricing

from $1.65 / 1,000 launches

Rating

4.6

(4)

Developer

Maxime Dupré

Maxime Dupré

Maintained by Community

Actor stats

11

Bookmarked

854

Total users

130

Monthly active users

8.7 hours

Issues response

3 days ago

Last modified

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🚀 Turn Product Hunt launches into structured research data

Product Hunt Scraper helps founders, marketers, researchers, and sales teams collect public launch data without opening every listing. Export launch names, descriptions, dates, categories, ranks, votes, and comment counts as structured rows.

📦 Product Hunt launch data

Each saved row represents one Product Hunt launch, or its product identity when no launch identity is available. Repeated launches or product identities are skipped after the first saved match. Fields include:

  • Product or launch name, tagline, description, Product Hunt URL, launch date, and thumbnail
  • Upvotes, comments, reviews, followers, launch counts, and available daily, weekly, monthly, or yearly ranks
  • Categories, topics, tags, gallery images, and Product Hunt video assets
  • Exposed makers, hunters, team members, and public profile context
  • External links and X account handle when Product Hunt exposes them
  • The public schema also has fields for team profiles, product links, media, comments, reviews, Built With details, past launches, and website data

Unavailable values remain null or []. A launch can still be saved when optional details or extra data are not available. If a long crawl stops early, rows already saved remain in the dataset and the run reports that it is incomplete.

🚀 Run Product Hunt Scraper

  1. Choose one Target: daily, weekly, monthly, yearly, category, topic, or Product Hunt page URLs.
  2. Complete only that Target's options. Daily runs default to today's California-time leaderboard when no date is entered.
  3. Set Maximum launches to save to a positive integer to bound the run. Leave it empty to save all available launches until the selected source is exhausted. Large runs use more memory, so use a smaller limit for a bounded run.
  4. Choose whether to include promoted listings or keep only featured launches. These filters apply to leaderboards.
  5. Turn on website details only if you need website titles, descriptions, visible text, or public emails.
  6. Run the Actor and open the dataset from the Output tab.

If Product Hunt blocks every initial discovery attempt, the Actor reports that it could not access Product Hunt instead of treating the page as a normal empty result.

If one launch cannot be read after retries, the Actor skips it and keeps working on other launches it can read. Saved rows stay in the dataset. A launch that is not saved has no launch charge. The run reports an incomplete result when a launch remains unreadable. A failure to access the source ends the run only when it blocks all remaining work.

If a valid run reaches a source, enrichment, or resource limit before all requested launches are saved, saved rows remain in the dataset and the run completes with an incomplete result that explains the reason.

⚙️ Input

Choose one source type per run. Fields for other Target sections are ignored. This example is copied from the public input of a successful run with the default input.

{
"target": "daily",
"maxNbItemsToScrape": 2,
"shouldIncludePromotedListings": false,
"shouldScrapeOnlyFeaturedLaunches": false,
"shouldScrapeWebsite": false
}

Input fields

FieldTypeWhat it does
targetstringChooses daily, weekly, monthly, yearly, category, topic, or pageUrls.
startDatestringSets the first daily leaderboard date in YYYY-MM-DD. Leave it empty for today's California-time leaderboard.
endDatestringSets the last date in an inclusive daily range. Leave it empty to use only startDate.
startWeekstringSets the first weekly leaderboard in YYYY-WW.
endWeekstringSets the last weekly leaderboard in an inclusive range. Leave it empty to use only startWeek.
startMonthstringSets the first monthly leaderboard in YYYY-MM.
endMonthstringSets the last monthly leaderboard in an inclusive range. Leave it empty to use only startMonth.
startYearintegerSets the first yearly leaderboard.
endYearintegerSets the last yearly leaderboard in an inclusive range. Leave it empty to use only startYear.
categorySlugsstring[]Lists Product Hunt category slugs, such as ai-code-editors.
topicSlugsstring[]Lists Product Hunt topic slugs, such as developer-tools. The old opensource slug is also accepted and uses the open-source page.
productHuntPageUrlsstring[]Lists supported Product Hunt launch detail, category, topic, or leaderboard page URLs, one per row.
maxNbItemsToScrapeintegerSets a positive limit for launches saved in the run. Leave it empty to return all available results until the source is exhausted.
shouldIncludePromotedListingsbooleanIncludes promoted listings from daily, weekly, monthly, and yearly leaderboards. Launch URL inputs are collected as given.
shouldScrapeOnlyFeaturedLaunchesbooleanKeeps only featured launches from daily, weekly, monthly, or yearly leaderboards. Launch URL inputs are collected as given.
shouldScrapeWebsitebooleanCollects website titles, descriptions, visible text, and public emails when found. A saved launch with at least one public email adds one email charge.

Target choices

For daily, weekly, monthly, and yearly, use the matching period fields. For category, add categorySlugs. For topic, add topicSlugs. For pageUrls, add supported Product Hunt launch detail, category, topic, or leaderboard URLs. Product Hunt post, search, home, and other URLs are not supported.

🧾 Output

The default dataset contains one row per successfully saved Product Hunt launch or product identity. Optional arrays stay empty, and unavailable values stay null, when Product Hunt does not provide them. The table uses dotted paths for nested fields; [] means an array item.

Output fields

FieldTypeWhat it does
isPromotedbooleanSays whether Product Hunt identified the placement as promoted.
thumbnailUrlstring or nullGives the Product Hunt thumbnail URL.
namestringGives the product or launch name.
urlstringGives the Product Hunt launch URL, or product URL when no launch URL is known.
taglinestring or nullGives the Product Hunt tagline.
categoriesstring[]Lists Product Hunt categories in source order.
followersnumber or nullGives the visible product follower count.
commentsCountnumber or nullGives the visible comment count for the current launch.
reviewsCountnumber or nullGives the visible review count.
launchesCountnumber or nullGives the visible number of launches for the product.
dayRanknumber or nullGives the daily leaderboard rank when available.
weekRanknumber or nullGives the weekly leaderboard rank when available.
monthRanknumber or nullGives the monthly leaderboard rank when available.
yearRanknumber or nullGives the yearly leaderboard rank when available.
launchDatestring or nullGives the launch date in YYYY-MM-DD when available.
descriptionstring or nullGives the readable product description.
upvotesCountnumber or nullGives the current launch upvote score.
linksstring[]Lists company and product links shown by Product Hunt.
xAccountHandlestring or nullGives the public X/Twitter handle when available.
imageUrlsstring[]Lists Product Hunt gallery image URLs.
videoUrlsstring[]Lists Product Hunt video asset URLs.
tagsstring[]Lists Product Hunt topic and tag names in source order.
teamobject[]Lists exposed makers, hunters, and other launch-team members.
team[].avatarUrlstring or nullGives a public team member avatar URL.
team[].typestring or nullGives the Product Hunt team role when available.
team[].namestring or nullGives the public team member name.
team[].usernamestring or nullGives the Product Hunt username.
team[].headlinestring or nullGives the public profile headline.
team[].aboutstring or nullGives the public profile biography.
team[].followersCountnumber or nullGives the public follower count.
team[].linksstring[]Lists public profile links.
builtWithobject[]Lists tools in Product Hunt's Built With section when available.
builtWith[].namestring or nullGives the tool name.
builtWith[].urlstring or nullGives the Product Hunt URL for the tool when available.
builtWith[].taglinestring or nullGives the tool tagline when available.
builtWith[].thumbnailUrlstring or nullGives the tool thumbnail URL when available.
launchesobject[]Lists visible prior Product Hunt launches for the same product when available.
launches[].titlestring or nullGives the prior launch name.
launches[].urlstring or nullGives the prior launch Product Hunt URL.
launches[].taglinestring or nullGives the prior launch tagline.
launches[].launchDatestring or nullGives the prior launch date when available.
launches[].dayRanknumber or nullGives the prior launch daily rank when available.
launches[].weekRanknumber or nullGives the prior launch weekly rank when available.
launches[].monthRanknumber or nullGives the prior launch monthly rank when available.
launches[].yearRanknumber or nullGives the prior launch yearly rank when available.
launches[].upvotesCountnumber or nullGives the prior launch upvote score when available.
launches[].commentsCountnumber or nullGives the prior launch comment count when available.
launches[].thumbnailUrlstring or nullGives the prior launch thumbnail URL when available.
commentsobject[]Lists Product Hunt comments when available.
comments[].userobjectHolds the public Product Hunt commenter profile.
comments[].user.isMakerboolean or nullSays whether the commenter is a maker when known.
comments[].user.usernamestring or nullGives the commenter's Product Hunt username.
comments[].user.namestring or nullGives the commenter's public name.
comments[].user.avatarUrlstring or nullGives the commenter's public avatar URL.
comments[].user.headlinestring or nullGives the commenter's public profile headline.
comments[].user.linksstring[]Lists the commenter's public profile links.
comments[].user.followersCountnumber or nullGives the commenter's public follower count.
comments[].textstring or nullGives the comment text.
comments[].upvotesCountnumber or nullGives the comment upvote count when available.
comments[].timeAgostring or nullGives the relative time shown for the comment.
reviewsobject[]Lists Product Hunt reviews when available.
reviews[].userobjectHolds the public Product Hunt reviewer profile.
reviews[].user.usernamestring or nullGives the reviewer's Product Hunt username.
reviews[].user.namestring or nullGives the reviewer's public name.
reviews[].user.avatarUrlstring or nullGives the reviewer's public avatar URL.
reviews[].user.headlinestring or nullGives the reviewer's public profile headline.
reviews[].user.linksstring[]Lists the reviewer's public profile links.
reviews[].user.followersCountnumber or nullGives the reviewer's public follower count.
reviews[].user.reviewsCountnumber or nullGives the reviewer's review count when available.
reviews[].ratingnumber or nullGives the review rating when available.
reviews[].textstring or nullGives the review text.
reviews[].viewsCountnumber or nullGives the review view count when available.
reviews[].timeAgostring or nullGives the relative time shown for the review.
websiteobjectHolds the linked website and requested enrichment.
website.urlstring or nullGives the external product website URL.
website.titlestring or nullGives the website page title when enrichment succeeds.
website.descriptionstring or nullGives the website page description when enrichment succeeds.
website.emailsstring[]Lists public website emails found by optional enrichment.
website.rawTextstring or nullGives readable visible website text when enrichment succeeds.

This row came from a successful current beta run. It is shortened: each "..." marker stands for values omitted from a larger array.

{
"isPromoted": false,
"thumbnailUrl": "https://ph-files.imgix.net/d2edfb12-0064-4ea2-af46-12b43bbb2842.png",
"name": "Cursor",
"url": "https://www.producthunt.com/products/cursor",
"tagline": "AI coding agent",
"categories": [
"AI Coding Agents",
"Vibe Coding Tools",
"AI Code Editors"
],
"followers": 66463,
"commentsCount": 10,
"reviewsCount": 959,
"launchesCount": 11,
"dayRank": 3,
"weekRank": 11,
"monthRank": 43,
"yearRank": null,
"launchDate": "2026-08-19",
"description": "Cursor is the best way to build ambitious software.",
"upvotesCount": 355,
"links": [
"https://cursor.com",
"https://twitter.com/cursor_ai",
"https://www.linkedin.com/company/cursorai/",
"https://cursor.com/changelog/origin-code-hosting"
],
"xAccountHandle": "@cursor_ai",
"imageUrls": [
"https://ph-files.imgix.net/f3171d81-83b0-479a-bff6-9007dc2176ee.png?auto=format&fit=crop",
"https://ph-files.imgix.net/09a5ccf8-605f-49fc-b747-4414bce7d46e.png?auto=format&fit=crop",
"https://ph-files.imgix.net/eb183572-53ad-4a7f-9d8b-2e40d981b8fc.png?auto=format&fit=crop"
],
"videoUrls": [],
"tags": [
"Developer Tools"
],
"team": [
{
"avatarUrl": "https://ph-avatars.imgix.net/42237/original.jpeg?auto=format&crop=faces&fit=crop&h=100&w=100",
"type": "Maker",
"name": "Michael Feldstein",
"username": "msfeldstein",
"headline": "Canopy",
"about": null,
"followersCount": 282,
"links": [
"https://twitter.com/msfeldstein"
]
},
{
"avatarUrl": "https://ph-avatars.imgix.net/9042461/c5ad409b-6070-4c3e-8faa-0d951f920485.jpeg?auto=format&crop=faces&fit=crop&h=100&w=100",
"type": "Maker",
"name": "Jon Kaplan",
"username": "jonk1",
"headline": "Cursor",
"about": null,
"followersCount": 25,
"links": []
},
"..."
],
"builtWith": [],
"launches": [
{
"title": "Origin by Cursor",
"url": "https://www.producthunt.com/products/cursor/launches/origin-by-cursor",
"tagline": "The Git forge built for the age of coding agents",
"launchDate": "2026-08-19",
"dayRank": 3,
"weekRank": 11,
"monthRank": 43,
"yearRank": null,
"upvotesCount": 355,
"commentsCount": 10,
"thumbnailUrl": "https://ph-files.imgix.net/d2edfb12-0064-4ea2-af46-12b43bbb2842.png"
},
"..."
],
"comments": [
{
"user": {
"isMaker": false,
"username": "aditya_oberai",
"name": "Aditya Oberai",
"avatarUrl": "https://ph-avatars.imgix.net/2123829/2238e1c4-40f4-4967-907c-a09d9b2fc938.jpeg",
"headline": "Appwrite",
"links": [
"https://twitter.com/adityaoberai1",
"https://github.com/adityaoberai",
"https://newsletter.oberai.dev/",
"https://oberai.dev",
"https://www.linkedin.com/in/adityaoberai1/"
],
"followersCount": 620
},
"text": "Excited to see this launch, team! Definitely arrives at a necessary time. We're working on an integration to allow automatic deployments of sites and functions on Appwrite from Origin, would love to connect with any relevant engineering/DevRel team members about the same.",
"upvotesCount": 5,
"timeAgo": "49 days ago"
},
"..."
],
"reviews": [
{
"user": {
"username": "bryce_murray",
"name": "Bryce Murray",
"avatarUrl": "https://ph-avatars.imgix.net/3709763/c1f9942f-714a-419d-a401-98150d3f7226.jpeg",
"headline": "I like to build cool things.",
"links": [
"https://twostory.com"
],
"followersCount": 37,
"reviewsCount": 2
},
"rating": 5,
"text": "Cursor was instrumental in turning this into a native iOS app!",
"viewsCount": 0,
"timeAgo": "4 days ago"
},
"..."
],
"website": {
"url": "https://cursor.com",
"title": null,
"description": null,
"emails": [],
"rawText": null
}
}

See the Output schema for the same fields in the public schema.

💳 Pricing

This Actor uses pay-per-event pricing. The primary event is charged once for each saved launch or product identity. The email enrichment add-on is charged only for a saved launch where optional website enrichment finds at least one public email. A run with no saved launch is not charged for a launch. Website checks that find no public email do not add the email charge. See the Pricing tab for current rates.

🔌 Integrations

Use Apify datasets, API access, schedules, and webhooks to export or automate results. This walkthrough shows how to connect an Actor to other workflows:

❓ FAQ

What happens if one launch cannot be read after retries?

The Actor skips that launch and keeps working on other launches it can read. Rows already saved stay in the dataset. The skipped launch has no launch charge, and the run reports an incomplete result. The run ends only if a source access problem blocks all remaining work.

What happens if Product Hunt blocks every discovery attempt?

The Actor reports that it could not access Product Hunt instead of returning an ordinary successful empty scrape. Retry later because source access can change between runs.

What happens if a run reaches a source, enrichment, or resource limit?

Rows saved before the stop remain in the dataset, and charges for those saved rows remain. The run completes with an incomplete result and explains the reason. Set Maximum launches to save when you need a smaller bounded run.

How do I keep a large crawl manageable?

Leave website details off when you do not need the linked site data. Set a positive Maximum launches to save limit for a smaller run; leave it empty to return all available results until the source is exhausted.

Can I submit a Product Hunt launch URL?

Yes. Use the pageUrls Target to submit supported Product Hunt launch detail, category, topic, or leaderboard URLs. It does not accept post, search, home, or other URL types.

Why are some fields null or empty arrays?

Product Hunt does not expose every optional fact for every launch. Missing optional details or website data do not discard a valid launch, so unavailable values keep their schema-defined empty form. A launch that cannot be read after retries is skipped.

Can I use several target types in one run?

Choose one Target per run. The pageUrls Target accepts a list of supported Product Hunt pages. You can include launch detail, category, topic, and leaderboard URLs in the same list.

Are comments, reviews, launch history, Built With data, and website emails always included?

No. The public form has no separate switches for comments, reviews, Built With data, or launch history. It has one switch for website details. Product Hunt may not expose every field on each launch, so some values can be empty.

Can I run the Actor through an API?

Yes. Use the Apify API to start runs and get dataset rows.

How do I monitor new Product Hunt launches?

Run the daily Target on an Apify schedule and send completed datasets through the API or a webhook. Each run reads the selected Product Hunt page rather than reusing a saved inventory.

📝 Changelog

v1.0 (07-10-2026)

  • Category and topic targets use slug lists, and the URL list accepts their supported pages.
  • Comments, reviews, Built With details, and launch history are collected without separate input switches.
  • When a launch cannot be read, saved rows remain in the dataset, other launches continue, and the run reports an incomplete result.

v0.0

  • Initial release with daily, weekly, monthly, yearly, category, topic, and supported page URL Targets.
  • Initial release with optional comments, reviews, Built With, launch history, and website enrichment.
  • Initial release.

🆘 Support

For issues, questions, or feature requests, file a ticket and I'll fix or implement it in less than 24h 🫡

Made with ❤️ by Maxime Dupré