Amazon Review Scraper & Classifier

Amazon Review Scraper & Classifier

Bulk extract review data from specific Amazon product pages and export to local Excel.

Overview

This tool automates the process of navigating through Amazon review pages to collect customer feedback. By logging in before running the RPA, the tool can bypass guest-view restrictions and scrape multiple pages of data for comprehensive sentiment analysis or competitor research.


How to Use

Setup Steps

  1. Pre-Login: You must log into your Amazon.com account first. (Guest users cannot access all review pages).
  2. URLs: Prepare the direct links to the "Customer Reviews" pages of your target products.
  3. Input: Enter the URLs and set the "Max Review Count" per product.
  4. Run: Start the app and do not move the mouse/keyboard during the process.

Parameters

  • Review Page URLs: Enter the target review page links (one per line).
  • Max Reviews per Product: Set the maximum number of reviews to collect for each ASIN.
  • Output Folder: Select the local folder to save the generated Excel files.

Output

The app extracts the following fields into a structured spreadsheet:

  • Review ID: Unique identifier for the review.
  • Buyer Name: Name of the reviewer.
  • Review Headline: Short summary/title of the review.
  • Review Date: Date the feedback was posted.
  • Product Variation: Format/Style/Color purchased (if applicable).
  • Full Review Text: The complete body of the review.
  • Product ID (ASIN): The item identifier.
  • Review Link: Direct URL to the specific review.

Notes

  • Login Required: Mandatory. If not logged in, the tool will be restricted to the first page only and cannot navigate further.
  • System Freeze: Do not operate the mouse or keyboard while the automation is running to avoid navigation errors.
  • Target URLs: Ensure you provide the link to the "All Reviews" page for the best results.

Support

Contact: [email protected]

Version

Version 1

2026-03-25

Initial version. Bulk Amazon review extraction with automated pagination support.