🛍️ Gumroad Reviews Scraper

🛍️ 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. 🛍️

INTEGRATIONSOTHERECOMMERCEApify

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 scrape
  • maxItems (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.

1{
2    "productUrls": [
3        "https://goodsnooze.gumroad.com/l/macwhisper"
4    ],
5    "maxItems": 30
6}

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.

1[
2    {
3        "productUrl": "https://goodsnooze.gumroad.com/l/macwhisper",
4        "scrapedAt": "2025-01-30T01:57:19.103Z",
5        "review": {
6            "id": "Mzk_DK61eQipn53mQdaEyw==",
7            "rating": 5,
8            "message": "Thanks 👍",
9            "rater": {
10                "avatar_url": "https://assets.gumroad.com/assets/gumroad-default-avatar-5-623b6723477dd15920db554b0a4e9aac6a5e41159fd3d7bb4c9f9745a44e4f85.png",
11                "name": "Anonymous"
12            },
13            "purchase_id": "tcA7goQmQ5VUFRQ168K9VA==",
14            "is_new": true,
15            "response": null
16        }
17    },
18    ...
19]

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!