Product Hunt Scraper

Scrape Product Hunt daily launches, trending products, and search results. Extract product names, taglines, upvotes, comments, maker info, website URLs, topics, and more.

Use Cases

• Market Research -- Track what types of products are launching and gaining traction
• Competitor Monitoring -- Get alerts when competitors launch new products
• Launch Analysis -- Study successful launches to optimize your own launch strategy
• Trend Detection -- Identify emerging product categories and technology trends
• Lead Generation -- Find newly launched products in your target market
• Investment Research -- Discover early-stage startups gaining community traction

Features

• Three scraping modes: daily leaderboard, search, and trending
• Multi-strategy extraction: GraphQL API, Next.js data, DOM parsing, Playwright fallback
• Optional comment extraction for deeper analysis
• Category/topic filtering
• Automatic deduplication
• Pay-per-event pricing (charge per product scraped)

Input

Field	Type	Default	Description
mode	string	"daily"	Scraping mode: daily, search, or trending
date	string	today	Date for daily leaderboard (YYYY-MM-DD format)
searchQuery	string	-	Search query (required when mode is search)
category	string	-	Filter by category/topic (e.g., artificial-intelligence)
maxProducts	integer	50	Maximum products to return (1-500)
includeComments	boolean	false	Scrape top comments from each product page
proxyConfiguration	object	Apify Proxy	Proxy settings

Input Examples

Daily Launches

Scrape today's top Product Hunt launches:

{
  "mode": "daily",
  "maxProducts": 30
}

Daily Launches for a Specific Date

{
  "mode": "daily",
  "date": "2026-02-15",
  "maxProducts": 50
}

Search for AI Products

{
  "mode": "search",
  "searchQuery": "AI writing assistant",
  "maxProducts": 20
}

Trending Products in Developer Tools

{
  "mode": "trending",
  "category": "developer-tools",
  "maxProducts": 25
}

Full Analysis with Comments

{
  "mode": "daily",
  "date": "2026-02-20",
  "maxProducts": 10,
  "includeComments": true
}

Output

Each product in the dataset contains:

Field	Type	Description
rank	number	Position in the results (1-based)
name	string	Product name
tagline	string	Product tagline/subtitle
description	string	Longer product description
url	string	Product Hunt page URL
websiteUrl	string	Product's own website URL
upvotes	number	Total upvote count
commentsCount	number	Total comment count
topics	array	List of topic/category tags
makerName	string	Name of the primary maker
launchDate	string	Launch/creation date
thumbnailUrl	string	Product thumbnail image URL
slug	string	URL slug on Product Hunt
comments	array	Top comments (when includeComments is true)

Sample Output

{
  "rank": 1,
  "name": "Acme AI",
  "tagline": "Your AI-powered productivity assistant",
  "description": "Acme AI helps teams automate repetitive tasks with intelligent workflows.",
  "url": "https://www.producthunt.com/posts/acme-ai",
  "websiteUrl": "https://acme.ai",
  "upvotes": 847,
  "commentsCount": 123,
  "topics": ["Artificial Intelligence", "Productivity", "SaaS"],
  "makerName": "Jane Smith",
  "launchDate": "2026-02-15T08:01:00.000Z",
  "thumbnailUrl": "https://ph-files.imgix.net/...",
  "slug": "acme-ai"
}

How It Works

The scraper uses a multi-layered extraction strategy for maximum reliability:

1. GraphQL API (preferred) -- Product Hunt's frontend GraphQL endpoint returns structured data with full product details. This is the fastest and most reliable method.

2. Next.js Data -- Product Hunt is a Next.js application. The __NEXT_DATA__ script tag contains pre-rendered JSON with all page data. The scraper deep-scans this JSON to find product nodes.

3. DOM Parsing -- Falls back to parsing HTML elements using multiple CSS selector patterns to handle layout changes.

4. Playwright Rendering -- If all static methods fail (e.g., client-side-only rendering), Playwright launches a headless browser to render the full page and extract data from the live DOM.

Pricing

This actor uses Apify's pay-per-event model. You are charged per product scraped.

Tips

• Daily mode is best for tracking launches on specific dates
• Search mode is ideal for finding products in a specific niche
• Trending mode gives you the current hot products on the homepage
• Enable includeComments sparingly -- it makes an additional request per product
• Use category filter to narrow results to your area of interest
• Common categories: artificial-intelligence, developer-tools, productivity, design-tools, marketing, saas, fintech, no-code

Limitations

• Product Hunt may rate-limit requests; use proxies for large scrapes
• Comment extraction requires additional requests and increases runtime
• Search results are limited by Product Hunt's search API capabilities
• Historical daily leaderboards may have less data available for older dates

License

MIT