🛍️ Gumroad Reviews Scraper
Pricing
from $2.99 / 1,000 results
🛍️ Gumroad Reviews Scraper
Extract and analyze product reviews from Gumroad pages. Get detailed insights into customer feedback, ratings, and comments. Perfect for market research, competitor analysis, and customer sentiment tracking. 🛍️
Pricing
from $2.99 / 1,000 results
Rating
0.0
(0)
Developer
EasyApi
Maintained by CommunityActor stats
1
Bookmarked
10
Total users
0
Monthly active users
5 months ago
Last modified
Categories
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Scrape product reviews from any Gumroad product page. Get detailed review data including ratings, comments, reviewer information, and more.
🎯 Use Cases
- Monitor product feedback and customer satisfaction
- Analyze review trends and sentiment
- Track competitor product performance
- Generate customer testimonials
- Research market feedback for similar products
✨ Features
- Scrape reviews from any Gumroad product URL
- Get comprehensive review data including:
- Review rating (1-5 stars)
- Review message/comment
- Reviewer information
- Purchase ID
- Timestamp
- Support for multiple product URLs
- Configurable maximum items limit
- Proxy rotation support
- Clean, structured JSON output
🔧 Input Configuration
The actor accepts the following input parameters:
productUrls(Required): Array of Gumroad product URLs to scrapemaxItems(Optional): Maximum number of reviews to collect per product (default: 100)proxyConfiguration(Optional): Proxy settings for making requests
💡 Tips
- Use proxy configuration for better reliability
- Adjust maxItems based on your needs
- Consider rate limiting for large-scale scraping
Input Example
A full explanation of an input example in JSON.
{"productUrls": ["https://goodsnooze.gumroad.com/l/macwhisper"],"maxItems": 30}
Output sample
The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above:
And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.
[{"productUrl": "https://goodsnooze.gumroad.com/l/macwhisper","scrapedAt": "2025-01-30T01:57:19.103Z","review": {"id": "Mzk_DK61eQipn53mQdaEyw==","rating": 5,"message": "Thanks 👍","rater": {"avatar_url": "https://assets.gumroad.com/assets/gumroad-default-avatar-5-623b6723477dd15920db554b0a4e9aac6a5e41159fd3d7bb4c9f9745a44e4f85.png","name": "Anonymous"},"purchase_id": "tcA7goQmQ5VUFRQ168K9VA==","is_new": true,"response": null}},...]