Product Hunt Scraper — Launches, Upvotes & Maker Profiles

Product Hunt Scraper

Product Hunt Scraper extracts product launches, upvote counts, maker profiles, and engagement data from Product Hunt leaderboards. It supports daily, weekly, monthly, and yearly periods with optional historical date access. Enable detail enrichment to get full product descriptions, media galleries, topics, and maker social links. Provide your own Product Hunt API token for faster runs with zero browser overhead.

What data can you extract?

Field	Type	Description
id	string	Product Hunt product ID
name	string	Product name
slug	string	URL slug
tagline	string	One-line product tagline
description	string	Full product description (with detail enrichment)
url	string	Product Hunt post URL
websiteUrl	string	Product website URL
thumbnailUrl	string	Product thumbnail image
mediaUrls	string[]	Gallery images and videos
rank	integer	Leaderboard position
featured	boolean	Whether the product was featured
period	string	Leaderboard period (daily, weekly, monthly, yearly)
periodDate	string	Date of the leaderboard
upvotes	integer	Number of upvotes
commentsCount	integer	Number of comments
reviewsRating	number	Average review rating
reviewsCount	integer	Number of reviews
topics	string[]	Product categories/topics
launchDate	string	Launch date (ISO 8601)
featuredDate	string	Featured date (ISO 8601)
makers[].name	string	Maker display name
makers[].username	string	Product Hunt username
makers[].headline	string	Maker headline/bio
makers[].profileUrl	string	Product Hunt profile link
makers[].twitterUrl	string	Twitter/X profile link
makers[].websiteUrl	string	Personal website
makers[].linkedinUrl	string	LinkedIn profile link

How to scrape Product Hunt

1. Select a Leaderboard Period — daily, weekly, monthly, or yearly.
2. Optionally set a specific Date, Week, Month, or Year to access historical leaderboards.
3. Set Maximum Products to control how many products to collect.
4. Enable Scrape Product Details to get full descriptions, media, topics, and maker social links.
5. Click Start and wait for the run to complete.
6. Download results from the Dataset tab in JSON, CSV, or Excel format.

For faster runs, provide your own Product Hunt API token in the Advanced settings. Get one free at producthunt.com/v2/oauth/applications.

How much does it cost?

This actor uses pay-per-event pricing. You are charged per product scraped.

Price per product	Price per 1,000 products
$0.0035	$3.50

Example: Scraping today's top 20 products with detail enrichment costs approximately $0.07 in actor fees plus platform compute.

Platform compute costs depend on run time. Typical runs:

Scenario	Products	Details	Est. Time	Est. Total Cost
Daily top 5	5	No	~30s	~$0.02
Daily top 10 + details	10	Yes	~2 min	~$0.08
Weekly top 20	20	No	~45s	~$0.07
Weekly top 20 + details	20	Yes	~3 min	~$0.20
Monthly top 50	50	No	~1 min	~$0.18

Use cases

• Track trending products and tools launching on Product Hunt each day.
• Monitor competitor launches, upvote velocity, and community engagement.
• Build datasets of product launches for market research and trend analysis.
• Collect maker profiles and social links for founder outreach.
• Feed product launch data into alerts, newsletters, or dashboards.
• Analyze which product categories and topics get the most traction.
• Research historical leaderboards to identify seasonal launch patterns.
• Export product data to spreadsheets for investor research or reporting.

Input

Field	Type	Default	Description
period	enum	"daily"	Leaderboard period: daily, weekly, monthly, yearly
date	string	today	Date for daily period (YYYY-MM-DD). Defaults to today (PST).
week	integer	current	Week number for weekly period (1-52)
month	integer	current	Month for monthly period (1-12)
year	integer	current	Year for any period (2013-2030)
includeAll	boolean	false	Include all products, not just featured
maxProducts	integer	50	Maximum products to scrape (0 = all available)
scrapeDetails	boolean	false	Get full descriptions, media, topics, and maker social links
scrapeComments	boolean	false	Extract comments (requires scrapeDetails)
scrapeMakers	boolean	true	Extract maker/founder profiles
apiToken	string	—	Your Product Hunt API token (optional — faster, no browser needed)
proxyConfiguration	object	Apify Residential	Proxy settings

Input examples

Today's top products:

{
    "period": "daily",
    "maxProducts": 10
}

Weekly leaderboard with full details:

{
    "period": "weekly",
    "maxProducts": 20,
    "scrapeDetails": true
}

Historical daily leaderboard:

{
    "period": "daily",
    "date": "2026-01-15",
    "maxProducts": 10
}

Monthly leaderboard for January 2026:

{
    "period": "monthly",
    "month": 1,
    "year": 2026,
    "maxProducts": 50
}

Using API token (faster):

{
    "period": "daily",
    "maxProducts": 20,
    "apiToken": "your-product-hunt-api-token"
}

Output example

{
    "id": "1080289",
    "name": "Figr AI",
    "slug": "figr-ai",
    "tagline": "Product-aware AI that thinks through UX",
    "description": "Figr is an AI product agent for PMs. Parse your live app via Chrome extension, import from Figma, drop in docs and analytics...",
    "url": "https://www.producthunt.com/posts/figr-ai",
    "websiteUrl": "https://figr.design",
    "thumbnailUrl": "https://ph-files.imgix.net/a925c43e-5b27-4ba9-87f3-9fa5ff345335.png",
    "rank": 1,
    "featured": true,
    "period": "daily",
    "periodDate": "2026-02-17",
    "upvotes": 439,
    "commentsCount": 82,
    "topics": ["User Experience", "Artificial Intelligence", "UX Design"],
    "launchDate": "2026-02-17T00:01:00-08:00",
    "makers": [
        {
            "name": "Moksh Garg",
            "username": "moksh_garg",
            "headline": "An Entrepreneur who designs",
            "profileUrl": "https://www.producthunt.com/@moksh_garg"
        }
    ],
    "scrapedAt": "2026-02-18T12:42:30.927Z"
}

Tips

• Enable Scrape Product Details for richer data — descriptions, topics, media, and maker social links are only available with detail enrichment.
• Use the date field to access historical daily leaderboards (data available back to 2013).
• Set maxProducts to 0 to scrape all available products on a leaderboard.
• Provide your own API token for faster runs. Get one free at producthunt.com/v2/oauth/applications.
• For large runs (50+ products with details), increase the timeout to 10-15 minutes in Actor settings.
• Use includeAll to get non-featured products in addition to the curated top picks.

FAQ

How many products can I scrape?

Set maxProducts to 0 to collect all available products on a leaderboard. Daily leaderboards typically have 20-30 featured products.

How fast is it?

Without detail enrichment, scraping 20 products takes under 1 minute. With detail enrichment enabled, expect 5-10 seconds per product.

Do I need a proxy?

The default configuration includes Apify residential proxies. For API token mode, no proxy is needed.

Can I access historical leaderboards?

Yes. Set the date, week, month, or year fields to access past leaderboards. Historical data is available back to 2013.

What is detail enrichment?

When scrapeDetails is enabled, the scraper visits each product page to collect full descriptions, media galleries, topics, and maker social links. Without it, you get basic leaderboard data (name, tagline, upvotes, rank).

Changelog

• v0.1.19 — Store listing, pricing, memory optimization.
• v0.1.18 — Enrichment coverage improvements, battle-tested across 7 scenarios.
• v0.1.16 — Detail enrichment rewrite, multi-layer fallback strategy.
• v0.1.0 — Initial release. All leaderboard periods, maker profiles, optional API token mode.