😺 Product Hunt Launches, Products & Makers Scraper

A high-performance Apify Actor built in Python to extract launched products, daily & weekly leaderboard rankings, vote counts, maker/founder profiles (Twitter/X, websites, bios), tags, and direct product URLs from Product Hunt via its GraphQL APIs.

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🌟 Key Features

• ⚡ Direct GraphQL API Queries: Queries Product Hunt's GraphQL API endpoints directly via httpx async I/O. No heavy headless browsers (~128MB RAM footprint).
• 👤 Complete Maker Profiles: Extract maker names, usernames, headlines, profile URLs, avatars, websites, and Twitter/X profiles.
• 🏷️ Topic Tags & Pricing Categories: Collect product categories, tags, thumbnail images, upvote counts, and comment metrics.
• 🔑 Optional Developer Token: Pass an optional Product Hunt API Access Token to query the official v2 GraphQL endpoint with high rate limits.
• 📊 Store-Ready Dataset: Pushes standardized Pydantic models to Apify's Dataset storage with tabular view support.

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📥 Input Parameters

The Actor accepts the following input settings in JSON format:

Parameter	Type	Default	Description
daysBack	integer	7	How many days into the past to scrape daily launches from.
featuredOnly	boolean	true	When enabled, only extracts featured products on the leaderboard.
maxItems	integer	100	Maximum number of products to retrieve (set 0 for unlimited).
developerToken	string	null	(Optional) Product Hunt API Access Token for official v2 GraphQL API.

Example Input JSON

{
  "daysBack": 7,
  "featuredOnly": true,
  "maxItems": 50
}

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📤 Output Format

Each item pushed to the output dataset follows a structured schema:

{
  "id": "782910",
  "name": "SuperAgent AI",
  "slug": "superagent-ai",
  "product_hunt_url": "https://www.producthunt.com/posts/superagent-ai",
  "tagline": "Build autonomous AI agents in seconds",
  "description": "SuperAgent is an open-source framework for building and deploying AI agents...",
  "website": "https://superagent.sh",
  "votes_count": 542,
  "comments_count": 89,
  "reviews_rating": 4.9,
  "pricing_type": "free",
  "featured_date": "2026-08-25",
  "topics": ["Artificial Intelligence", "Developer Tools", "Open Source"],
  "makers": [
    {
      "id": "12345",
      "name": "John Doe",
      "username": "johndoe",
      "headline": "Building AI tools",
      "profile_url": "https://www.producthunt.com/@johndoe",
      "twitter_url": "https://x.com/johndoe",
      "website_url": "https://johndoe.com",
      "avatar_url": "https://ph-avatars.imgix.net/..."
    }
  ],
  "thumbnail_url": "https://ph-files.imgix.net/..."
}

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🚀 Running Locally

Step 1: Install Dependencies

$pip install -r requirements.txt

Step 2: Run the Actor

$python -m src.main

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🐳 Docker Support

To build and run containerized:

docker build -t product-hunt-scraper .
docker run -it product-hunt-scraper