Product Hunt Launches Scraper

What is Product Hunt Launches Scraper?

Product Hunt Launches Scraper is a tool that lets you scrape Product Hunt launches from daily, weekly, monthly and yearly leaderboards, categories and topics: name, tagline, description, upvotes, comments count, day/week/month/year rank, makers and hunter, website and social links, images, videos, topics, categories and product stats, plus optional comments, reviews, launch history and built-with tools. Pick a date range or paste Product Hunt links, click Start, and download the launches as Excel, CSV or JSON.

• ⚡ Speed: 2,664 launches from three full days in 26 seconds, and a full week of 5,990 launches in under 2 minutes in our tests
• 📅 Any date range: every launch of each day, week, month or year, not only the featured ones
• 💬 Full launch context: every comment and reply, every review, the product's launch history and the tools the makers build with
• 🔓 No login: no Product Hunt account or API token needed

What can Product Hunt Launches Scraper do?

• Scrape today's Product Hunt leaderboard or any past day
• Scrape Product Hunt launches by date range: every day from a start date to an end date
• Get the weekly, monthly and yearly Product Hunt leaderboards with ranks
• Choose featured launches only or every launch of the period
• Scrape Product Hunt categories and topics (for example AI Agents or Developer Tools)
• Get makers and hunters with their headline, profile link, followers and links
• Get Product Hunt comments with author, upvotes and replies
• Get Product Hunt reviews with rating, pros and cons
• Get each product's launch history and built-with tool stack
• Include or skip promoted listings
• Get one day's launches in seconds over the real-time API
• Export to Excel, CSV, JSON, HTML or XML, or send them to Google Sheets, Make, Zapier and more

What data can you extract from Product Hunt launches?

🚀 Launch name and tagline	📝 Description	🔗 Launch and product links
👍 Upvotes	💬 Comments count	🏆 Day, week, month and year rank
📅 Launch date	⭐ Featured / promoted flags	🖼️ Thumbnail, images and videos
🏷️ Topics, categories and tags	💲 Pricing type	🌐 Website, links and X handle
👥 Makers and hunter	❤️ Product followers	⭐ Reviews count and rating
🗨️ Comments and replies (optional)	📝 Reviews (optional)	🧰 Built-with tools and launch history (optional)

How to scrape Product Hunt launches

1. Create a free Apify account (no credit card needed).
2. Open Product Hunt Launches Scraper.
3. Choose where to find launches (daily, weekly, monthly or yearly leaderboards, categories, topics or page links) and set the dates or slugs.
4. Click Start.
5. When the run finishes, download the launches as Excel, CSV, JSON, HTML or XML.

Why use this Product Hunt scraper?

We compared it with the 4 most-used Product Hunt scrapers in the Apify Store (September 2026), based on their own descriptions and settings:

Feature	Product Hunt Launches Scraper	The 4 most-used alternatives
Real-time API: one day's launches in the response, no run to start	✅	None of 4
Weekly, monthly and yearly leaderboards over a range, e.g. January to August	✅	1 of 4
Each product's launch history	✅	2 of 4
Comments, reviews, launch history and built-with tools in one run	✅	2 of 4

Already use the most-used Product Hunt scraper? The input fields have the same names, so your saved inputs work here unchanged. Website details and e-mails from the launch's website are not offered yet.

⬇️ Input

Choose one source in Find launches from and fill in only the fields for it.

Setting	What it does
Find launches from	Daily, weekly, monthly or yearly leaderboards, categories, topics, or Product Hunt page URLs
Start date / End date	Days to scrape, e.g. 2026-09-01 to 2026-09-30. Empty start date = today (California time)
Start week / End week	Weeks as year-week, e.g. 2026-38, as in producthunt.com/leaderboard/weekly/2026/38
Start month / End month	Months, e.g. 2026-08
Start year / End year	Years, e.g. 2025
Category slugs	Categories such as ai-agents (from producthunt.com/categories/ai-agents)
Topic slugs	Topics such as developer-tools or open-source
Product Hunt page URLs	Leaderboard, category or topic links. Add /all to a leaderboard link for every launch of that period
Maximum launches	Stop after this many launches in total. Empty = everything found
Featured launches only	Only the launches Product Hunt featured. Off = every launch
Include promoted listings	Also save the promoted listings shown in leaderboards, marked isPromoted
Scrape comments	Add every comment and reply
Scrape reviews	Add the product's reviews
Scrape built-with tools	Add the tools the makers say they build with
Scrape launch history	Add the product's other Product Hunt launches

Every featured launch of August 2026, with comments:

{
  "target": "daily",
  "startDate": "2026-08-01",
  "endDate": "2026-08-31",
  "shouldScrapeOnlyFeaturedLaunches": true,
  "shouldScrapeComments": true
}

The top products in two categories, with reviews and their tool stack:

{
  "target": "category",
  "categorySlugs": ["ai-agents", "ai-code-editors"],
  "maxNbItemsToScrape": 200,
  "shouldScrapeReviews": true,
  "shouldScrapeBuiltWith": true
}

⬆️ Output

You get one row per launch. You can view them as a table in Apify Console or download them as Excel, CSV, JSON, HTML or XML. Here is a real row, shortened:

{
  "name": "Superset Mobile",
  "tagline": "Your coding agents, now in your pocket",
  "url": "https://www.producthunt.com/products/superset-5/launches/superset-mobile-2",
  "isFeatured": true,
  "launchDate": "2026-09-21T00:01:00-07:00",
  "upvotesCount": 504,
  "commentsCount": 133,
  "dayRank": 1,
  "weekRank": 3,
  "monthRank": 12,
  "topics": ["iOS", "Artificial Intelligence", "Development"],
  "categories": ["Terminals", "Command line tools", "AI Code Editors"],
  "pricingType": "free_options",
  "websiteUrl": "https://superset.sh?utm_source=producthunt&utm_medium=social&utm_campaign=launch_2026",
  "xAccountHandle": "superset_sh",
  "team": [{"type": "Maker", "name": "Kiet Ho", "username": "flyakiet", "profileUrl": "https://www.producthunt.com/@flyakiet"}],
  "followers": 2219,
  "reviewsCount": 8,
  "reviewsRating": 5.0,
  "launchesCount": 3
}

Rows also carry the description, thumbnail, images, videos, tags, links, product ID and the leaderboard the launch came from. With the options on, each row adds comments (every comment and reply in one list; parentId links a reply to the comment it answers), reviews, builtWith and launches (the product's launch history). Each run also saves a short report with how many leaderboards, categories or links it covered, and any it could not scrape completely with the reason.

How can I use Product Hunt launch data?

• Startup and product research: see what launched each day, which categories are busy and what wins
• Lead generation: build lists of new products with their website, X handle and makers
• Competitor tracking: follow launches in your category and read what users say in comments and reviews
• Investor deal flow: spot top-ranked launches every week or month
• Tech stack research: see which tools new startups build with
• Trend analysis: chart launches, upvotes and topics over months or years

Monitor Product Hunt every day

Leave the start date empty and schedule the actor to run every evening: each run saves that day's leaderboard (California time, the same day Product Hunt uses). Add a webhook or an integration to send the new launches to Google Sheets, Slack or your CRM.

Real-time Product Hunt API

Need a day's launches right away inside your app? Call the actor's API and get them back in the response, without starting a run:

GET https://<your-actor-standby-url>/launches?date=2026-09-24&featuredOnly=true
Authorization: Bearer <YOUR_APIFY_TOKEN>

Add &comments=true, &reviews=true, &builtWith=true or &launchHistory=true for the extra data, and &limit=50 to cap the number of launches.

You can also run the actor from your own code with the Apify API or the Python and JavaScript clients:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("automly/product-hunt-launches-scraper").call(run_input={
    "target": "weekly",
    "startWeek": "2026-38",
    "shouldScrapeOnlyFeaturedLaunches": True,
})
for launch in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(launch["weekRank"], launch["name"], launch["upvotesCount"])

❓FAQ

How much does it cost to scrape Product Hunt?

You pay only for the launches you get, per 1,000 launches. See the Pricing tab for the current price. Every Apify account gets $5 of free usage each month, so you can try it at no cost.

How many launches does Product Hunt have per day?

Usually several hundred: 748 launches on 24 September 2026, of which 21 were featured. Turn on Featured launches only to get just the featured ones, which is what the leaderboard shows by default.

Can I scrape a whole month or year?

Yes. Use a date range for every day, or the monthly and yearly leaderboards for the ranked view. A month of every launch is tens of thousands of rows, so set Maximum launches if you only need the top.

The yearly leaderboard of the current year is short: Product Hunt lists only its top launches so far (201 featured launches for 2026 on 26 September, against 5,209 for all of 2025). For every featured launch of this year, use the monthly leaderboards from January to this month, or a daily date range.

What do categories and topics return?

The products in that category or topic, highest rated first, each as its latest launch with the same fields as a leaderboard row. With Featured launches only on, you get only the products whose latest launch was featured.

Why does the number of comments differ from commentsCount?

commentsCount is Product Hunt's own number and also counts comments that are no longer shown (hidden or removed). The comments list has every comment Product Hunt shows, replies included.

Which timezone are the dates in?

Product Hunt's days start at midnight California time, and so do the dates in this scraper. Weeks are numbered as in Product Hunt's weekly leaderboard links (weeks start on Monday).

Do I need a Product Hunt account or API token?

No. You don't need an account, cookies or a Product Hunt API token.

Is it legal to scrape Product Hunt?

This scraper only collects what Product Hunt shows publicly on its pages. It does not collect private data such as personal e-mail addresses. Only scrape for a legitimate reason and ask a lawyer if you are unsure. You can read more in Is web scraping legal?

Product Hunt Launches Scraper is an independent tool. It is not affiliated with, endorsed by or sponsored by Product Hunt.

Something isn't working. What should I do?

Open the Issues tab and tell us the input and what you expected. We usually reply within a day.