Product Hunt Scraper

What does Product Hunt Scraper do?

Product Hunt Scraper allows you to extract valuable data about products and their team members from any launching day on Product Hunt: product name, short description, website URL, maker and hunter names, team member social media links, and more.

About Product Hunt

Product Hunt is a platform designed to keep you informed about the latest tech products and trends. It serves as a community where startups and creators can showcase their innovations to an engaged audience of tech enthusiasts, early adopters, and industry professionals. Each day, the platform features over 100 new products, accompanied by user reviews and discussions.

Product Data Fields

Field Name	Type	Description
Launch Date	String	Date when the product was launched on Product Hunt
Url	String (URL)	URL of the product page on Product Hunt
Product Name	String	Name of the product
Short Description	String	Brief description of the product
Long Description	String	Detailed description of the product
Categories	List	Categories/topics the product belongs to
Website	String (URL)	Product's website URL
Upvotes	Int	Number of upvotes received on Product Hunt

Team Members Data Fields

Field Name	Type	Description
Team Member Name	String	Name of the team member
Team Member Identifier	String	Unique identifier (slug) of the team member
Team Member Link	String (URL)	Profile URL of the team member on Product Hunt
Team Member Role	String	Role of the team member (e.g., "Maker", "Hunter")
Team Member Title	String	Professional title of the team member
Team Member About	String	Bio/description of the team member
Team Member Links	List	External links associated with the team member
Team Member Interests	List	Topics/interests of the team member

Why Scrape Product Hunt?

• Lead Generation: Identify startups for potential collaboration or investment.
• Market Research: Analyze trends and popular niches in the startup ecosystem.
• Startup Landscape Analysis: Gain insights into successful strategies and business models.
• Inspiration: Discover innovative ideas and technologies that can influence your project.
• User Feedback Collection: Monitor comments and reviews on new products to assess customer interest and satisfaction.

Example Input

And here's the same, just in JSON:

1{
2  "date": "2025-03-31",
3  "numberOfTeamMembers": 1,
4  "scrapeFeatured": false
5}

Output Sample

The extracted results are organized into a dataset, which you can view in the Storage tab. The data is presented in a table format for easy viewing. Here's an example of some of the output from a previous input:

By clicking on the green Export button, you can download the dataset in XML, CSV, Excel, HTML, or JSON. See an example of a JSON file:

1{
2    "launch_date": "2025-03-31T00:01:00-07:00",
3    "url": "https://www.producthunt.com/posts/science-search",
4    "product_name": "Science Search",
5    "short_description": "AI-Powered Research in One Click",
6    "long_description": "Select any text or video and get an AI-curated research summary with the most relevant academic papers that best match your query.",
7    "categories": [
8      "Chrome Extensions",
9      "Productivity",
10      "Artificial Intelligence"
11    ],
12    "website": "https://www.findingwisdom.me/science-search",
13    "upvotes": 4,
14    "team_member_1_name": "Pham",
15    "team_member_1_identifier": "@phamorphosis",
16    "team_member_1_link": "https://www.producthunt.com/@phamorphosis",
17    "team_member_1_role": "Hunter, Maker",
18    "team_member_1_title": "Debug Life, Optimize Mind.",
19    "team_member_1_about": "I'm Pham.\nI'm a specialized generalist, most times, I write and code.\nMy interests are technology, philosophy, biology and martial arts.",
20    "team_member_1_links": [
21      "https://www.findingwisdom.me/"
22    ],
23    "team_member_1_interests": [
24      "Design Tools",
25      "User Experience",
26      "Marketing",
27      "Developer Tools",
28      "Artificial Intelligence"
29    ]
30}

How to Use Product Hunt Scraper

Product Hunt Scraper is user-friendly and requires no prior technical expertise. Follow these simple steps to extract data from Product Hunt:

1. Run the Scraper: Click the Start button to automatically fetch the latest top Product Hunt listings.
2. Export Your Data: Download your dataset in Excel, CSV, JSON, HTML, or access it via the API.

Features

• Launch Date: Select a specific date to get data from the Product Hunt Archive.
• Featured Products: Option to scrape only products from the Featured category.
• Customizable Results: Set your desired limit for the number of products to scrape.
• Team Members: Choose how many team members to scrape per product (0-2).

Tips

• Resource Usage: Note that scraping team member data increases run time and resource usage. The more team members you select, the more resources will be needed.
• Optimal Timing: For best results, run or schedule the scraper at 23:00 PST, as Product Hunt operates on PST timezone and the new day starts at 00:01 PST.

Integrations and Product Hunt Scraper

Product Hunt Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. You can integrate with Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, and more.

Your Feedback

We're always working on improving the performance of our Actors. If you've got any technical feedback for Product Hunt Scraper or simply found a bug, please create an issue on the actor's Issues tab in Apify Console.