Producthunt Launch Scraper
Pricing
Pay per usage
Producthunt Launch Scraper
Pricing
Pay per usage
Rating
0.0
(0)
Developer
Donny Nguyen
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
12 hours ago
Last modified
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Product Hunt Launch Scraper
Scrape Product Hunt product launches by topic. This actor collects product names, taglines, vote counts, comment counts, maker information, and website links from Product Hunt topic pages.
What does Product Hunt Launch Scraper do?
This scraper automates the collection of product launches from Product Hunt. By providing topic slugs such as "artificial-intelligence" or "developer-tools", you can gather structured data about the latest and most popular products in any category. Ideal for startup research, competitive analysis, trend monitoring, and market intelligence.
Features
- Scrape multiple Product Hunt topics in a single run
- Extract product names, taglines, and descriptions
- Capture vote counts and comment engagement metrics
- Collect external website links for each product
- Generate direct URLs to each product page
- Configurable maximum result limits
- Automatic proxy rotation for reliable access
Input Configuration
| Field | Type | Description | Default |
|---|---|---|---|
topics | String List | Product Hunt topic slugs to scrape | ["artificial-intelligence", "developer-tools"] |
maxProducts | Integer | Maximum products to extract | 200 |
Output Data
Each product in the dataset includes:
| Field | Description |
|---|---|
topic | The Product Hunt topic category |
name | Product name |
tagline | Product tagline or short description |
votes | Number of upvotes received |
comments | Number of comments |
website | External website URL |
url | Direct Product Hunt page URL |
scrapedAt | Timestamp when data was collected |
Usage Tips
Use the topic slug from the Product Hunt URL. For example, the URL producthunt.com/topics/developer-tools uses the slug "developer-tools". Topics with more products will yield more results. Combine multiple topics to build comprehensive market research datasets.
Integrations
Connect this actor with Google Sheets, Slack, Airtable, or any other platform using webhooks or the Apify API. Export scraped product data in JSON, CSV, XML, or Excel format directly from the Apify Console.
Cost Estimation
Running the actor with default settings (200 products across 2 topics) typically consumes about 0.1-0.3 compute units. The lightweight Cheerio-based crawler keeps costs low while extracting structured product data efficiently.
Built with Crawlee and the Apify SDK. See more scrapers by consummate_mandala on Apify Store.
