LAGIC
Lead Audience Growth Intelligence Computing
A

Amazon Review + Stats Scraper — Amazon | Lagic

Built For

Uncover Deep Amazon Review Insights and Product Performance Statistics

Curated by Lagic·Verified working

Configure Agent

Amazon domain to scrape

The product's ASIN (e.g., 'B007HQYC86')

Maximum number of review pages to scrape.

How to sort the reviews.

Filter reviews by a specific star rating.

Filter by all reviews or only verified purchases.

Filter by reviews for a specific format (e.g., 'current_format').

Results to deliver

200 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

2 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Average product rating and overall rating count.Percentage distribution for 1-star, 2-star, 3-star, 4-star, and 5-star ratings.Product name and its unique Amazon Standard Identification Number (ASIN).The Amazon domain and country name where the data was collected.Date of data collection.Individual review text and title.
290Value...Sample Text...Sample Text...2026-04-05Sample Text...
436Value...Sample Text...Sample Text...2026-04-05Sample Text...
..................
Exports as:CSVXLSXJSON

Overview

This tool extracts detailed customer reviews and key product statistics for any Amazon ASIN, providing star rating distributions, average ratings, and individual review content across multiple Amazon domains for comprehensive market analysis.

### Why Monitor Amazon Reviews and Statistics? Amazon product reviews are a goldmine of customer sentiment, product strengths, weaknesses, and market trends. For anyone selling on Amazon, developing new products, or analyzing competitors, understanding these reviews is crucial. This tool goes beyond just collecting reviews; it also provides essential statistical data that paints a full picture of a product's standing. By specifying an Amazon Standard Identification Number (ASIN) and the desired Amazon marketplace (e.g., `.com`, `.de`, `.co.uk`), you can retrieve not only individual customer feedback but also aggregated statistics like the percentage of 1-star to 5-star ratings, the overall average rating, and the total number of global and local ratings. This data empowers you to track product health, identify common customer pain points, monitor competitor performance, and even spot opportunities for product improvement or new market entry. ### What Data Does This Tool Provide? For each product ASIN, you receive a structured dataset including: * **Overall Product Statistics**: This includes the average star rating, the total count of ratings, and the distribution percentages for each star rating (1-star, 2-star, up to 5-star). You'll also see the global rating count, offering a broader perspective. * **Individual Review Details**: For each review, you get the full text of the review, its title, the date it was posted, the reviewer's username, and a unique review ID. * **Reviewer Insights**: Determine if a review comes from a "Vine Customer" (a program for trusted reviewers) and how many users found the review "helpful." You can also see if the purchase was verified. * **Product Identification**: The ASIN, product name, and the Amazon domain where the data was scraped are all included for clear identification. * **Variant Information**: Any product variants associated with the reviews will be noted. ### Tailor Your Data Extraction This tool offers several input options to refine your data collection: * **Choose Your Amazon Domain**: Select from major marketplaces like the US (.com), Germany (.de), Japan (.co.jp), UK (.co.uk), Canada (.ca), India (.in), UAE (.ae), Netherlands (.nl), France (.fr), Italy (.it), Spain (.es), or Mexico (.com.mx). * **Filter by Star Rating**: Focus your analysis by extracting only 1-star reviews to understand critical issues, or 5-star reviews to highlight product strengths. Options include "all stars," "five-star," "four-star," "three-star," "two-star," or "one-star." * **Sort Reviews**: Arrange reviews by "recent" to see the latest feedback or by "helpful" to prioritize insights that resonated most with other buyers. * **Reviewer Type**: Limit reviews to "verified purchases only" to ensure authenticity or include "all reviews" for a broader sentiment view. * **Format Type**: Specify whether to retrieve reviews for the "current format" of the product or for "all formats" (e.g., paperback vs. hardcover for books). * **Control Volume**: Set a "maximum number of pages" to scrape, ensuring you get enough data without over-collecting. This flexibility allows you to conduct targeted research, whether you're performing a deep dive into negative feedback, monitoring recent customer experiences, or conducting a general competitive analysis.

Key Capabilities

  • Average product rating and overall rating count.
  • Percentage distribution for 1-star, 2-star, 3-star, 4-star, and 5-star ratings.
  • Product name and its unique Amazon Standard Identification Number (ASIN).
  • The Amazon domain and country name where the data was collected.
  • Date of data collection.
  • Individual review text and title.
  • Review date and unique review ID.
  • Reviewer's username.
  • Count of "helpful" votes for a review.
  • Indication if the reviewer is a "Vine Customer" or made a "verified purchase."
  • Any product variant information.
  • Product Development Research: Identify recurring issues or desired features from customer reviews to guide product improvements and new product design.
  • Competitor Analysis: Monitor competitor product ratings, review sentiment, and common complaints to find market gaps and optimize your own offerings.
  • E-commerce Seller Optimization: Track the performance of your own Amazon listings, understand customer satisfaction, and respond proactively to feedback.
  • Market Research & Trend Spotting: Analyze aggregated review data across categories to identify emerging product trends, customer preferences, and sentiment shifts.
  • Brand Reputation Management: Proactively discover and address negative reviews or highlight positive testimonials for marketing purposes.
  • Content Creation & Marketing: Extract specific positive reviews to use in marketing materials, ad copy, or product descriptions.
  • Investment Due Diligence: Assess the consumer perception and market acceptance of products for potential investment opportunities.

Field Dictionary

How To Run This Extractor

1

Provide the unique Amazon Standard Identification Number (ASIN) for the product you want to analyze.

2

Select the Amazon domain (e.g., "amazon.com" or "amazon.co.uk") where the product is listed.

3

Optionally, choose how to sort the reviews (e.g., by "recent" or "helpful").

4

Optionally, filter reviews by a specific star rating (e.g., "five-star" or "one-star") or by "verified purchases only."

5

Set the maximum number of review pages to scrape to control the data volume.

6

Run the tool to collect the detailed reviews and product statistics, which are then delivered in a structured format.

Frequently Asked Questions

Do I need coding skills to use this tool?
No, this tool is designed for users without coding knowledge. You only need to provide the ASIN and select your desired options.
What formats can I export the data in?
Is collecting this data compliant with regulations?
How does this tool handle large volumes of reviews?
Can I use this for client projects?
How fresh is the data I receive?
What is an ASIN and why do I need it?
Can I filter reviews by specific keywords or phrases?
How does sorting reviews by "helpful" or "recent" work?
How predictable are the costs?