Product Hunt Launches Scraper

Product Hunt Launches Scraper

Scrape Product Hunt launches from any daily leaderboard, up to a million per run. Every launch comes with its rank, votes, comments, topics, and team details. No login or API key. Export to CSV, JSON, Excel, or XML.

Product Hunt's official API requires an app registration and rate-limits you. This scraper reads the public daily leaderboards directly, filtered by how many days back you want, and returns each launch in one fixed schema. No authentication needed.

Who uses it	What they scrape Product Hunt for
Startup founders	Which products are trending this week in their niche
Market researchers	What features and categories are gaining traction
Investors	Which early-stage products have high engagement signals
Product managers	How competitors' launches performed over time

What it does

This Actor collects Product Hunt launches from the daily leaderboards, going back up to 30 days, and returns each one as a flat row with rank, votes, comments, topics, and team info.

• 📅 Date range: Set how many days back to scrape, from 1 (today only) to 30 (a full month of leaderboards).
• 🔢 Item limit: Free users get a 10-item preview; paid users can set up to 1,000,000 items.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with Product Hunt data

📈 Track weekly trends.

A market researcher runs the scraper every Monday with daysBack=7 to see which products gained the most votes and comments over the past week.

🔍 Find high-engagement startups.

An investor scrapes the last 30 days and filters for launches with over 500 votes to identify promising early-stage companies.

📊 Benchmark competitor launches.

A product manager scrapes a competitor's launch day and compares its rank, votes, and comment count against their own product's performance.

📚 Build a launch database.

A data analyst runs the scraper daily with maxItems=100000 to accumulate a historical dataset of Product Hunt launches for trend analysis.

Why choose this scraper

	What you get
No login needed	Scrape public leaderboards without a Product Hunt account or API key.
Structured data	Every launch includes rank, votes, comments, topics, and team members in a flat schema.
Historical reach	Go back up to 30 days to track trends and compare launches over time.
Export ready	Results come as CSV, JSON, Excel, or XML for immediate analysis.

How it compares

This scraper focuses on daily leaderboard data without extra enrichment, while competitors offer additional fields like founder emails.

Feature	ParseForge	Product Hunt Scraper with Founders & Emails	Product Hunt Scraper
Daily leaderboard scraping	Yes	Yes	Yes
Founder emails	Not listed	Yes	Not listed
Social media links	Not listed	Yes	Not listed
Category/topic page scraping	Not listed	Not listed	Yes
Up to 1,000,000 items	Yes	Not listed	Not listed
No login required	Yes	Not listed	Not listed

Configure the run

Point the Actor at a stretch of daily leaderboards, or hand it the launch URLs you already have. The Input tab lists every parameter.

Input	What it does
startUrls	Read these launches directly and skip the leaderboards. Accepts producthunt.com/posts/<slug> and the producthunt.com/products/<slug>?launch=<slug> address it redirects to.
daysBack	How many daily leaderboards to read, counting back from today. 1 to 30, default 7.
daysOffset	Start this many days earlier. daysBack: 7 with daysOffset: 7 is the week before last.
startDate / endDate	A date range in YYYY-MM-DD, Pacific time, which is the timezone Product Hunt uses for its daily boards. A range overrides daysBack.
maxItems	Stop after this many launches.
getDetails	On by default. Off skips one page load per launch for a much faster run that returns only what the leaderboard carries.
includeProductProfile, includeComments, includeReviews	The paid extras below.
proxyConfiguration	Defaults to Apify residential proxies in the US.

A first run with the defaults:

{
  "daysBack": 7,
  "maxItems": 10
}

A specific week:

{
  "startDate": "2026-09-01",
  "endDate": "2026-09-07"
}

Launches you already know:

{
  "startUrls": [
    "https://www.producthunt.com/posts/arcjet",
    "https://www.producthunt.com/posts/jev"
  ]
}

A fast, cheap sweep with no per-launch page loads:

{
  "daysBack": 30,
  "getDetails": false
}

Pricing

Pay-per-result: $0.03199 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$3.20
1,000 results	$31.99
10,000 results	$319.90

Optional extras (from 2026-10-03)

Three opt-in inputs add data that Product Hunt already prints on each launch page, so they need no extra request. All are off by default, a run without them costs exactly what it did before, and a block that does not come back is never charged.

• Include product profile adds the product record: socialLinks (X, LinkedIn, Instagram, Facebook, GitHub), iosUrl, androidUrl, followersCount, reviewsRating, reviewsCount, weeklyRank, launchDayScore, launchNumber, pricingType, categories, hunter and makers (name, username, headline, profile link), awards, screenshots, videoUrls, alternatives, productDescription and launchDescription.
• Include launch comments adds comments, the first page of comment threads with their replies (author, username, maker flag, text, votes, date, link), and commentThreadsTotal.
• Include product reviews adds reviews (the latest reviews shown on the page, up to 3), reviewsSummary, reviewsRatingBreakdown, reviewsProConTags and reviewsTotal.

Event	Price	Charged when
apify-actor-start	$0.005 per GB of run memory	the run starts
product-profile	$0.01 per launch	Include product profile is on and the product record came back
launch-comments	$0.008 per launch	Include launch comments is on and the launch has at least one comment
product-reviews	$0.008 per launch	Include product reviews is on and the product has reviews or a review summary

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the Product Hunt Launches Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to Product Hunt through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/producthunt-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting only 10 items?

Free accounts are limited to a 10-item preview. Upgrade to a paid Apify plan to set a higher maxItems.

Why are there no results for a given daysBack value?

Product Hunt publishes one leaderboard per day. If daysBack is set to 1, you get only today's launches. For more data, increase daysBack.

Why is the run taking too long?

Most of the time goes into opening one page per launch for the description, website and makers. Set getDetails: false to skip those and keep the leaderboard fields, which is several times faster. Reducing maxItems or daysBack also helps.

The run stopped early and said it was near the memory limit. What now?

The run stops itself and keeps everything it collected rather than being killed with no explanation. Each launch page is around 800 KB, so a long run at 256 MB will reach that point. Raise the run memory to 1 GB, or lower daysBack, or set getDetails: false.

Why are some fields empty?

Not all launches have complete data (e.g., some may lack team info). The scraper returns what is publicly available.

Can I scrape launches older than 30 days?

One run reads at most 30 leaderboards, but they do not have to be the most recent 30. Use daysOffset, or startDate and endDate, to move the window back, and run it more than once to cover a longer stretch.

I set a field and nothing changed.

The run reports any input field it does not read, by name, in the log and in the run's status message. If your field is listed there, it was ignored.

FAQ

Question	Answer
Do I need a Product Hunt account to use this scraper?	No. The scraper reads public leaderboards without any login or API key.
How far back can I scrape?	Up to 30 leaderboards in one run. Use daysOffset to move that window further into the past, or startDate and endDate to name the days you want.
What data does each launch include?	Each launch includes rank, votes, comments, topics, team members, and more. The full field list appears in your dataset after a run.
Is there a limit on how many items I can scrape?	Free users get a 10-item preview. Paid users can set maxItems up to 1,000,000.
Can I scrape specific categories or topics?	No, this scraper only collects from the daily leaderboards. For category or topic pages, consider the Product Hunt Scraper with Founders & Emails.
What export formats are supported?	You can export results to CSV, JSON, Excel, or XML from the Apify dataset.
How often should I run the scraper?	Run it daily to keep up with new launches, or weekly to track trends. The daily leaderboard updates once per day.
Does this scraper collect founder emails?	No. This scraper returns launch data only. For founder emails, use the Product Hunt Scraper with Founders & Emails.
Can I scrape launches from a specific date?	Yes. Set startDate and endDate in YYYY-MM-DD (Pacific time). Set both to the same day for a single leaderboard.
Is the data real-time?	The scraper reads the current leaderboard data at the time of the run. For historical data, set daysBack to cover the period you need.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Product Hunt, Inc. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.