Product Hunt Launch Scraper

Scrape Product Hunt to extract daily, weekly, and monthly top product launches. Collect upvotes, comments, maker information, taglines, and website URLs for the hottest new products.

What does Product Hunt Launch Scraper do?

This actor scrapes Product Hunt listings to gather structured data about newly launched products. It navigates topic pages and the main feed to extract comprehensive product information including names, taglines, upvote counts, comment counts, maker names, and direct links. Whether you are tracking competitor launches, analyzing market trends, or building a database of new SaaS products, this tool delivers the data you need.

Features

• Scrape top products by time range (today, this week, this month)
• Filter by specific topics like AI, developer tools, marketing, and more
• Extract upvotes, comments, maker details, and website URLs
• Configurable maximum number of products to collect
• Automatic fallback data if the site blocks scraping
• Outputs structured JSON ready for analysis or integration

How to use

1. Navigate to the actor page on Apify Console
2. Click "Start" to run with default settings (weekly top launches in AI and developer tools)
3. Optionally configure the time range, topics, and maximum products
4. Wait for the run to complete and download your data from the Dataset tab

Input parameters

Parameter	Type	Description	Default
timeRange	string	Time range for top launches (today, this_week, this_month)	this_week
topics	array	Topic slugs to filter by	["artificial-intelligence", "developer-tools"]
maxProducts	integer	Maximum number of products to scrape	100

Output format

Each product in the dataset contains:

{
    "name": "Product Name",
    "tagline": "Short product tagline",
    "description": "Product description",
    "upvotes": 1245,
    "commentsCount": 89,
    "makerName": "Maker Name",
    "topics": ["artificial-intelligence"],
    "websiteUrl": "https://example.com",
    "productHuntUrl": "https://www.producthunt.com/posts/product-name",
    "launchDate": "2026-02-19",
    "scrapedAt": "2026-02-19T12:00:00.000Z"
}

Tips and tricks

• Use the "this_month" time range to get a larger dataset of trending products
• Combine multiple topics to discover cross-category launches
• Set maxProducts to a lower number for quick test runs
• Schedule daily runs to track new launches over time

About

This actor is maintained by consummate_mandala. For questions, feedback, or feature requests, please open an issue on the actor page.