Product Hunt Scraper for Launches

🚀 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.

• Export Product Hunt launches as rows for spreadsheets or other tools.
• Scan new launches for new product ideas.
• Get newly launched products with new product.
• Save each day's launches and compare them over time with Product Hunt launch tracking.
• Compare launches and engagement with Product Hunt competitor analysis.
• Inspect products, media, and launch history with Product Hunt product research.
• Review maker profiles and launch context with Product Hunt maker research.
• Review launch dates and ranks to spot patterns with Product Hunt trend research.
• Find public emails on linked sites with Product Hunt email enrichment.
• Find makers and product sites to contact with Product Hunt startup lead generation.

📦 Product Hunt launch data

Each saved row represents one Product Hunt launch, or its product when no launch is available. Repeated launches or products 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
• Makers, hunters, team members, and public profile details shown by Product Hunt
• External links and X account handle when Product Hunt shows them
• The public schema also has fields for team profiles, product links, media, comments, reviews, Built With details, launch history, and website data

Unavailable values are null or [], and some optional fields are left out of a row. A launch can still be saved when optional details or extra data are not available. If a run stops early before every requested launch is saved, the rows already saved stay in the dataset. The run log says why.

🚀 Run Product Hunt Scraper

1. Choose one Target in the Find launches from field: Daily leaderboard, Weekly leaderboard, Monthly leaderboard, Yearly leaderboard, Category pages, Topic pages, 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 limit the run. Leave it empty to return all available results until the source is exhausted.
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 attempt to find launches, no launch can be read, so no rows are saved.

If one launch cannot be read, 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 log reports an incomplete result when a launch cannot be read.

If a run stops early before all requested launches are saved, the saved rows stay in the dataset. The run log says why the run stopped early.

⚙️ 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

Field	Type	What it does
target	string	Chooses daily, weekly, monthly, yearly, category, topic, or pageUrls.
startDate	string	Sets the first daily leaderboard date in YYYY-MM-DD. Leave both dates empty for today's California-time leaderboard.
endDate	string	Sets the last date in an inclusive daily range. Leave it empty to use only startDate.
startWeek	string	Sets the first weekly leaderboard in YYYY-WW.
endWeek	string	Sets the last weekly leaderboard in an inclusive range. Leave it empty to use only startWeek.
startMonth	string	Sets the first monthly leaderboard in YYYY-MM.
endMonth	string	Sets the last monthly leaderboard in an inclusive range. Leave it empty to use only startMonth.
startYear	integer	Sets the first yearly leaderboard.
endYear	integer	Sets the last yearly leaderboard in an inclusive range. Leave it empty to use only startYear.
categorySlugs	string[]	Lists Product Hunt category slugs, such as ai-code-editors.
topicSlugs	string[]	Lists Product Hunt topic slugs, such as developer-tools. The old opensource slug is also accepted and uses the open-source page.
productHuntPageUrls	object[]	Lists supported Product Hunt launch detail, category, topic, or leaderboard page URLs. Each item has a url field.
maxNbItemsToScrape	integer	Sets a positive limit for launches saved in the run. Leave it empty to return all available results until the source is exhausted.
shouldIncludePromotedListings	boolean	Includes promoted listings from daily, weekly, monthly, and yearly leaderboards. Launch URL inputs are collected as given.
shouldScrapeOnlyFeaturedLaunches	boolean	Keeps only featured launches from daily, weekly, monthly, or yearly leaderboards. Launch URL inputs are collected as given.
shouldScrapeWebsite	boolean	Collects 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 the Daily, Weekly, Monthly, and Yearly leaderboard choices (daily, weekly, monthly, and yearly), use the matching period fields. For Category pages (category), add categorySlugs. For Topic pages (topic), add topicSlugs. For Product Hunt page URLs (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 for each successfully saved Product Hunt launch, or its product when no launch is available. Unavailable values are null or [], and some optional fields are left out of a row. The table uses dotted paths for nested fields; [] means an array item.

Output fields

Field	Type	What it does
isPromoted	boolean	Says whether Product Hunt identified the placement as promoted.
thumbnailUrl	string or null	Gives the Product Hunt thumbnail URL.
name	string	Gives the product or launch name.
url	string	Gives the Product Hunt launch URL, or product URL when no launch URL is known.
productId	string or null	Gives the Product Hunt ID of this launch's product.
tagline	string or null	Gives the Product Hunt tagline.
categories	string[]	Lists Product Hunt categories in the order Product Hunt shows them.
followers	number or null	Gives the visible product follower count.
wasInYCombinator	boolean or null	Says whether the product's company was part of Y Combinator, a program that helps startups.
commentsCount	number or null	Gives Product Hunt's comment count for this launch. The comments list may not match it.
reviewsCount	number or null	Gives Product Hunt's review count for this product. The reviews list may not match it.
reviewRating	number or null	Gives the average public review rating when the product has reviews.
launchesCount	number or null	Gives Product Hunt's launch count for this product. The launches list may not match it.
dayRank	number or null	Gives the daily leaderboard rank when available.
weekRank	number or null	Gives the weekly leaderboard rank when available.
monthRank	number or null	Gives the monthly leaderboard rank when available.
yearRank	number or null	Gives the yearly leaderboard rank when available.
launchDate	string or null	Gives the launch date in YYYY-MM-DD when available.
featuredDate	string or null	Gives the date this launch was featured on Product Hunt in YYYY-MM-DD when available.
createdDate	string or null	Gives the date the Product Hunt launch was created in YYYY-MM-DD when available.
productCreatedDate	string or null	Gives the date the Product Hunt product was created in YYYY-MM-DD when available.
description	string or null	Gives the readable product description.
upvotesCount	number or null	Gives the current launch upvote score.
launchDayScore	number or null	Gives Product Hunt's score for this launch on the day it launched, when available.
links	string[]	Lists company and product links shown by Product Hunt.
appStoreUrl	string or null	Gives the App Store link Product Hunt shows when the product has an iOS app.
googlePlayUrl	string or null	Gives the Google Play link Product Hunt shows when the product has an Android app.
xAccountHandle	string or null	Gives the public X/Twitter handle when available.
imageUrls	string[]	Lists Product Hunt gallery image URLs.
videoUrls	string[]	Lists Product Hunt video asset URLs.
tags	string[]	Lists Product Hunt topic and tag names in the order Product Hunt shows them.
pricingType	string or null	Gives the pricing type Product Hunt shows, such as free or paid, when available.
team	object[]	Lists makers, hunters, and other launch-team members shown by Product Hunt.
team[].avatarUrl	string or null	Gives a public team member avatar URL.
team[].type	string or null	Gives the Product Hunt team role when available.
team[].name	string or null	Gives the public team member name.
team[].username	string or null	Gives the Product Hunt username.
team[].profileUrl	string or null	Gives the Product Hunt profile URL for this team member.
team[].headline	string or null	Gives the public profile headline.
team[].about	string or null	Gives the public profile biography.
team[].followersCount	number or null	Gives the public follower count.
team[].links	string[]	Lists public profile links.
builtWith	object[]	Lists tools in Product Hunt's Built With section when available.
builtWith[].name	string or null	Gives the tool name.
builtWith[].url	string or null	Gives the Product Hunt URL for the tool when available.
builtWith[].tagline	string or null	Gives the tool tagline when available.
builtWith[].thumbnailUrl	string or null	Gives the tool thumbnail URL when available.
alternatives	object[]	Lists similar Product Hunt products shown for this product, with their review ratings.
alternatives[].name	string or null	Gives the name of a similar Product Hunt product.
alternatives[].url	string or null	Gives the Product Hunt URL for the similar product.
alternatives[].reviewRating	number or null	Gives the average public review rating for the similar product, when it has reviews.
launches	object[]	Lists visible Product Hunt launches for the same product when available.
launches[].title	string or null	Gives the launch name.
launches[].url	string or null	Gives the launch Product Hunt URL.
launches[].tagline	string or null	Gives the launch tagline.
launches[].launchDate	string or null	Gives the launch date when available.
launches[].dayRank	number or null	Gives the launch daily rank when available.
launches[].weekRank	number or null	Gives the launch weekly rank when available.
launches[].monthRank	number or null	Gives the launch monthly rank when available.
launches[].yearRank	number or null	Gives the launch yearly rank when available.
launches[].upvotesCount	number or null	Gives the launch upvote score when available.
launches[].commentsCount	number or null	Gives the launch comment count when available.
launches[].thumbnailUrl	string or null	Gives the launch thumbnail URL when available.
awards	object[]	Lists the daily, weekly, monthly, and yearly Product Hunt awards this launch won.
awards[].title	string or null	Gives the name of the launch that won the award.
awards[].period	string	Says whether the award is daily, weekly, monthly, or yearly.
awards[].rank	number	Gives the place in the award period, such as 1.
awards[].date	string or null	Gives the award date in YYYY-MM-DD when available.
comments	object[]	Lists Product Hunt comments when available.
comments[].id	string or null	Gives the Product Hunt comment ID.
comments[].parentId	string or null	Gives the ID of the comment this reply answers, or null for a top-level comment.
comments[].user	object	Holds the public Product Hunt commenter profile.
comments[].user.isMaker	boolean or null	Says whether the commenter is a maker when known.
comments[].user.username	string or null	Gives the commenter's Product Hunt username.
comments[].user.name	string or null	Gives the commenter's public name.
comments[].user.avatarUrl	string or null	Gives the commenter's public avatar URL.
comments[].user.headline	string or null	Gives the commenter's public profile headline.
comments[].user.links	string[]	Lists the commenter's public profile links.
comments[].user.followersCount	number or null	Gives the commenter's public follower count.
comments[].text	string or null	Gives the comment text.
comments[].upvotesCount	number or null	Gives the comment upvote count when available.
comments[].timeAgo	string or null	Gives the relative time shown for the comment.
reviews	object[]	Lists Product Hunt reviews when available.
reviews[].user	object	Holds the public Product Hunt reviewer profile.
reviews[].user.username	string or null	Gives the reviewer's Product Hunt username.
reviews[].user.name	string or null	Gives the reviewer's public name.
reviews[].user.avatarUrl	string or null	Gives the reviewer's public avatar URL.
reviews[].user.headline	string or null	Gives the reviewer's public profile headline.
reviews[].user.links	string[]	Lists the reviewer's public profile links.
reviews[].user.followersCount	number or null	Gives the reviewer's public follower count.
reviews[].user.reviewsCount	number or null	Gives the reviewer's review count when available.
reviews[].rating	number or null	Gives the review rating when available.
reviews[].easeOfUseRating	number or null	Gives the reviewer's ease-of-use rating when the reviewer gave one.
reviews[].customizationRating	number or null	Gives the reviewer's customization rating when the reviewer gave one.
reviews[].reliabilityRating	number or null	Gives the reviewer's reliability rating when the reviewer gave one.
reviews[].valueForMoneyRating	number or null	Gives the reviewer's value-for-money rating when the reviewer gave one.
reviews[].text	string or null	Gives the review text.
reviews[].viewsCount	number or null	Gives the review view count when available.
reviews[].timeAgo	string or null	Gives the relative time shown for the review.
reviews[].proTags	string[]	Lists pro tags the reviewer selected for the product.
reviews[].conTags	string[]	Lists con tags the reviewer selected for the product.
reviewRatingBreakdown	object[]	Lists the public review count for each star rating Product Hunt shows.
reviewRatingBreakdown[].rating	number	Gives the star rating, such as 5.
reviewRatingBreakdown[].count	number	Gives the number of public reviews with that star rating.
reviewSummary	string or null	Gives Product Hunt's written summary of the public reviews, when shown.
website	object	Holds the linked website and any requested website details.
website.url	string or null	Gives the external product website URL.
website.title	string or null	Gives the website page title when the website is read.
website.description	string or null	Gives the website page description when the website is read.
website.emails	string[]	Lists public website emails found when website details are turned on.
website.rawText	string or null	Gives readable visible website text when the website is read.

This row came from a recent successful run. It is shortened: the comment text and image list are cut short, and each "..." marker stands for values left out of this example.

{
  "isPromoted": false,
  "thumbnailUrl": "https://ph-files.imgix.net/e51a9115-1d41-403e-b7e8-4bb858e29f24.png",
  "name": "Beam.win",
  "url": "https://www.producthunt.com/products/beam-win/launches/beam-win",
  "productId": "1348701",
  "tagline": "Run AI agents on one Mac and use its windows on another",
  "categories": [
    "Productivity",
    "AI Agents"
  ],
  "followers": 502,
  "wasInYCombinator": false,
  "commentsCount": 46,
  "reviewsCount": 0,
  "launchesCount": 1,
  "dayRank": 1,
  "weekRank": 1,
  "monthRank": 394,
  "yearRank": null,
  "launchDate": "2026-10-19",
  "featuredDate": "2026-10-19",
  "createdDate": "2026-10-19",
  "productCreatedDate": "2026-10-18",
  "description": "Keep your agents and builds running on a Mac mini or Studio. Beam brings their Terminal, browser and other app windows onto the Mac in front of you, each as its own window with a Dock icon and ⌘Tab presence. Encrypted between your Macs. Free to try.",
  "upvotesCount": 295,
  "launchDayScore": 295,
  "links": [
    "https://beam.win"
  ],
  "xAccountHandle": null,
  "pricingType": "free",
  "appStoreUrl": null,
  "googlePlayUrl": null,
  "imageUrls": [
    "https://ph-files.imgix.net/30edef9e-850e-451a-86d4-81f7cf48e1d0.png?auto=format&fit=crop",
    "https://ph-files.imgix.net/66584171-b146-45e3-b4cb-5eed357cc35e.png?auto=format&fit=crop",
    "..."
  ],
  "videoUrls": [
    "https://www.youtube.com/watch?v=O1ezzVufiH0"
  ],
  "tags": [
    "Productivity",
    "Developer Tools",
    "Artificial Intelligence"
  ],
  "team": [
    {
      "avatarUrl": "https://ph-avatars.imgix.net/102822/8e4808cc-ca1b-4123-8b20-ac4932e40deb.png?auto=format&crop=faces&fit=crop&h=100&w=100",
      "type": "Maker",
      "name": "Sam Asante",
      "username": "samasante",
      "profileUrl": "https://www.producthunt.com/@samasante",
      "headline": "Typeahead",
      "about": null,
      "followersCount": 106,
      "links": [
        "https://twitter.com/SamAsante",
        "https://twitter.com/samasante"
      ]
    },
    {
      "avatarUrl": "https://ph-avatars.imgix.net/23/5a9844ef-23a8-4fed-b752-258f1bfc39b1.jpeg?auto=format&crop=faces&fit=crop&h=100&w=100",
      "type": "Maker",
      "name": "Hiten Shah",
      "username": "hnshah",
      "profileUrl": "https://www.producthunt.com/@hnshah",
      "headline": "Crazy Egg",
      "about": null,
      "followersCount": 49794,
      "links": [
        "https://twitter.com/hnshah",
        "http://crazyegg.com",
        "https://hiten.com"
      ]
    }
  ],
  "builtWith": [
    {
      "name": "Typeahead",
      "url": "https://www.producthunt.com/products/typeahead",
      "tagline": "AI autocomplete for every app on your Mac",
      "thumbnailUrl": "https://ph-files.imgix.net/f38069ad-0009-494a-976a-27c87993f205.png"
    },
    {
      "name": "Tailscale",
      "url": "https://www.producthunt.com/products/tailscale",
      "tagline": "Best VPN Service for Secure Networks",
      "thumbnailUrl": "https://ph-files.imgix.net/915a55f8-50eb-47df-99e8-5a6dcccf5c07.png"
    },
    {
      "name": "Clerk",
      "url": "https://www.producthunt.com/products/clerkdev",
      "tagline": "An authentication and user management platform",
      "thumbnailUrl": "https://ph-files.imgix.net/297bc3d4-bd2e-4eaa-8fb6-a289cf61ea91.png"
    }
  ],
  "awards": [
    {
      "title": "Beam.win",
      "period": "daily",
      "rank": 1,
      "date": "2026-10-19"
    }
  ],
  "launches": [
    {
      "title": "Beam.win",
      "url": "https://www.producthunt.com/products/beam-win/launches/beam-win",
      "tagline": "Run AI agents on one Mac and use its windows on another",
      "launchDate": "2026-10-19",
      "dayRank": 1,
      "weekRank": 1,
      "monthRank": 394,
      "yearRank": null,
      "upvotesCount": 295,
      "commentsCount": 46,
      "thumbnailUrl": "https://ph-files.imgix.net/e51a9115-1d41-403e-b7e8-4bb858e29f24.png"
    }
  ],
  "comments": [
    {
      "user": {
        "isMaker": true,
        "username": "hnshah",
        "name": "Hiten Shah",
        "avatarUrl": "https://ph-avatars.imgix.net/23/5a9844ef-23a8-4fed-b752-258f1bfc39b1.jpeg",
        "headline": "Crazy Egg",
        "links": [
          "https://twitter.com/hnshah",
          "http://crazyegg.com",
          "https://hiten.com"
        ],
        "followersCount": 49794
      },
      "text": "Hey Product Hunt, Hiten here. My setup has gotten a little weird. ...",
      "upvotesCount": 10,
      "timeAgo": "1 day ago",
      "id": "5961011",
      "parentId": null
    },
    "..."
  ],
  "reviews": [],
  "reviewRating": null,
  "reviewRatingBreakdown": [
    {
      "rating": 5,
      "count": 0
    },
    {
      "rating": 4,
      "count": 0
    },
    {
      "rating": 3,
      "count": 0
    },
    {
      "rating": 2,
      "count": 0
    },
    {
      "rating": 1,
      "count": 0
    }
  ],
  "reviewSummary": null,
  "alternatives": [
    {
      "name": "Tuple",
      "url": "https://www.producthunt.com/products/tuple",
      "reviewRating": 5
    },
    {
      "name": "Dropshare",
      "url": "https://www.producthunt.com/products/dropshare-5",
      "reviewRating": 4.82
    },
    {
      "name": "Remotion",
      "url": "https://www.producthunt.com/products/1-remotion",
      "reviewRating": 5
    },
    {
      "name": "Cap",
      "url": "https://www.producthunt.com/products/cap-3",
      "reviewRating": 3.88
    },
    {
      "name": "Boom video",
      "url": "https://www.producthunt.com/products/boom-6",
      "reviewRating": 5
    }
  ],
  "website": {
    "url": "https://beam.win",
    "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 its product when no launch is available. The public email add-on is charged only for a saved launch where optional website details find 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?

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 log reports an incomplete result.

What happens if Product Hunt blocks every attempt to find launches?

No launch can be read, so no rows are saved. Retry later because access to Product Hunt can change between runs.

What happens if a run stops early?

Rows saved before the stop remain in the dataset, and charges for those saved rows remain. The run log says why the run stopped. Set Maximum launches to save when you want a smaller run.

How do I keep a large run 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. Choose Product Hunt page URLs as the 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 show every optional fact for every launch. Missing optional details or website data do not discard a valid launch. The row keeps null or [] for unavailable values, and some optional fields are left out. A launch that cannot be read is skipped.

Can I use several target types in one run?

Choose one Target per run. The Product Hunt page URLs 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 show every field on each launch, so some values can be empty.

Do I need a Product Hunt login or API key?

No. The Actor works without a Product Hunt login or API key.

Can I export the results to a spreadsheet or JSON file?

Yes. Download the dataset from the Output tab as a spreadsheet or JSON file.

Can I collect launches on a schedule?

Yes. Run the daily leaderboard on an Apify schedule and send completed datasets through the API or a webhook. The Actor does not track changes or keep history between runs.

Can I run the Actor through an API?

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

📝 Changelog

v2.1 (20-10-2026)

• Rows add product ID, featured date, product created date, launch day score, and Y Combinator status when Product Hunt shows them.
• Reviews add ease of use, customization, reliability, and value for money ratings when the reviewer gave them.
• Reviews add the pro and con tags the reviewer picked.
• Awards include yearly Product Hunt awards.
• Reviews and launch history are no longer cut off at 50 items.
• Daily rank now comes from the product's own launch, not the leaderboard position.
• App Store and Google Play links are filled in from the store buttons Product Hunt shows.
• Review rating and rating breakdown now fill in from Product Hunt, and products with no reviews show an empty rating instead of 0.
• Comment, review, and launch counts are described as Product Hunt's counts, which may not match the saved lists.
• When one product cannot be read, the run keeps looking for more launches, so it can still reach the number you asked for.
• Runs with input fields this Actor does not support now fail with an error instead of reporting success with no rows.
• An empty week, an unpublished week, or a missing category page now logs a warning, and the run finishes normally.
• Reliability improvements.

v2.0 (18-10-2026)

• Breaking change: each Product Hunt page URL goes in its own row, in a url field. Plain text URLs from v1.0 are no longer accepted, so update saved inputs and API calls.
• Runs that get close to a memory or time limit stop early on their own. Saved rows stay in the dataset. If work was cut short, the run succeeds with a warning that says why, instead of failing.
• Launches are saved as soon as they finish. A slow launch no longer holds back the launches after it.
• Reliability improvements.

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 🫡

🔗 Related Actors

• Website Email & Contact Scraper finds public emails on product websites you already selected.
• Tiny Startups Scraper collects launches, rankings, and deals from another startup directory, so you can compare its deals with Product Hunt launches.
• G2 Products Scraper collects product ratings, review counts, and alternatives from G2, so you can compare Product Hunt products with their G2 ratings.
• Product Hunt Leaderboard Scraper | Daily, Weekly, Monthly collects Product Hunt leaderboard rows for daily, weekly, and monthly pages, so you can check how products rank over those periods.
• Product Hunt Launches Scraper collects daily Product Hunt launches with votes, comments, ranks, topics, makers, and websites, so you can review each day's launches with their votes and makers.

Made with ❤️ by Maxime Dupré