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⇱ Etsy Reviews Scraper · Apify

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Etsy Reviews Scraper

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.

Pricing

from $2.99 / 1,000 results

Rating

0.0

(0)

Developer

👁 EasyApi

EasyApi

Maintained by Community

Actor stats

3

Bookmarked

91

Total users

14

Monthly active users

2 months ago

Last modified

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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.

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

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.

[
{
"rating":"5",
"text":"Lovely item thank you, I look forward to Autumn!",
"reviewer":"goldfingerclaire",
"date":"22 Aug, 2023",
"recommends": false,
"subratings":{}
},
{
"rating":"5",
"text":"Communication was great. An amazing item!",
"reviewer":"Karina Vega",
"date":"01 Nov, 2024",
"recommends": true,
"subratings":{
"Item quality":"5",
"Delivery":"5",
"Customer service":"5"
}
},
...
]

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