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Etsy Reviews Scraper

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Etsy Reviews Scraper

Etsy Reviews Scraper

easyapi/etsy-reviews-scraper
Try for free

30 minutes trial then $29.99/month - No credit card required now

Scrape Etsy product reviews effortlessly. Extract detailed review data including ratings, text, reviewer info, dates and more. Perfect for market research and customer feedback analysis.

Etsy Review Scraper 📝

Powerful and efficient scraper for extracting product reviews from Etsy listings. Get valuable customer feedback data to analyze product performance and customer satisfaction.

Features ✨

  • Extract detailed review information including:
    • Rating (1-5 stars) ⭐
    • Review text content 💬
    • Reviewer username 👤
    • Review date 📅
    • Recommendation status 👍
    • Sub-ratings (if available) 📊

Use Cases 🎯

  • Market research and competitor analysis
  • Product feedback monitoring
  • Customer sentiment analysis
  • Quality assurance tracking
  • Social proof collection

Input Parameters 🔧

  • productUrl: URL of the Etsy product listing (required)
  • maxItems: Maximum number of reviews to scrape

Limitations ⚠️

  • Only public reviews are accessible
  • Rate limiting may apply based on Etsy's policies
  • Some reviews might not have all fields available

Input Example

A full explanation of an input example in JSON.

1{
2    "productUrl": "https://www.etsy.com/listing/1071878058/charger-plate-pumpkin-set-pumpkin",
3    "maxItems": 10
4}

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		"rating": "5",
4		"text": "Lovely item thank you, I look forward to Autumn!",
5		"reviewer": "goldfingerclaire",
6		"date": "22 Aug, 2023",
7		"recommends": false,
8		"subratings": {}
9	},
10	{
11		"rating": "5",
12		"text": "Communication was great. An amazing item!",
13		"reviewer": "Karina Vega",
14		"date": "01 Nov, 2024",
15		"recommends": true,
16		"subratings": {
17			"Item quality": "5",
18			"Delivery": "5",
19			"Customer service": "5"
20		}
21	},
22    ...
23]
Developer
Maintained by Community
Actor metrics
  • 1 monthly user
  • 0 stars
  • 100.0% runs succeeded
  • Created in Nov 2024
  • Modified 2 days ago
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