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Amazon Prouct Reviews — Amazon | Lagic

Built ForE-commerce & Direct-to-Consumer BrandsMarketing AgenciesConsumer Electronics

Download all customer reviews from any Amazon product page for sentiment analysis and market research.

Curated by Lagic·Verified working

Configure Agent

Amazon product reviews URL (e.g., )

Maximum number of reviews to scrape. Leave empty for unlimited.

Rate limiting: maximum requests per minute

Results to deliver

100 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

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

Sample Data Preview

Reviewer's nameReview title/headlineFull review textStar rating (e.g., '4.0 out of 5 stars')Date the review was publishedNumber of 'helpful' votes
Sample Text...Sample Text...Value...Value...2026-04-05694
Sample Text...Sample Text...Value...Value...2026-04-05895
..................
Exports as:CSVXLSXJSON

Overview

Extract every customer review from an Amazon product page, including the star rating, review text, helpful votes, and reviewer name. Use this data to analyze customer sentiment or monitor competitor products.

This tool scrapes all available customer reviews from a specific Amazon product reviews page. It's designed for e-commerce sellers, product managers, and market researchers who need direct access to the voice of the customer. By providing the URL to a product's review page, you can collect a complete dataset of customer feedback. The output includes the full review text, the title, the star rating (e.g., 4 out of 5), the date it was posted, and the reviewer's name. It also captures important metadata like the number of 'helpful' votes each review received and whether the purchase is marked as 'verified' by Amazon. This raw data is critical for understanding what customers love and hate about a product. You can use it to spot trends in complaints, identify sought-after features for your own product development, or gather positive testimonials for marketing materials. It's a direct line into the unfiltered thoughts of the people buying and using products.

Key Capabilities

  • Reviewer's name
  • Review title/headline
  • Full review text
  • Star rating (e.g., '4.0 out of 5 stars')
  • Date the review was published
  • Number of 'helpful' votes
  • Verification status (is it a verified purchase?)
  • Images included in the review
  • URL of the specific review
  • Analyze a competitor's product reviews to identify common complaints and weaknesses.
  • Gather positive testimonials and user-generated content for marketing campaigns.
  • Monitor sentiment on your own products to catch issues before they escalate.
  • Identify feature requests or common points of confusion for your product development team.
  • Conduct market research to understand what customers value in a specific product category.
  • Track review velocity and sentiment changes over time after a new product launch or update.
  • Supply a sentiment analysis model with raw text data from real customers.

Field Dictionary

How To Run This Extractor

1

Navigate to the Amazon product page you want to analyze.

2

Find and click the link to see all customer reviews.

3

Copy the URL from your browser's address bar.

4

Paste this link into the 'Product Review URL' field.

5

Specify the maximum number of reviews you want, or leave it blank for all of them.

6

Run the tool and download your data as a CSV or JSON file.

Frequently Asked Questions

Do I need coding skills to use this?
No, you only need the URL of the Amazon product reviews page you want to scrape.
What format will the data be in?
Can I scrape reviews from international Amazon sites like Amazon.de or Amazon.co.uk?
What does 'verified purchase' mean in the output data?
Is it legal to scrape Amazon reviews?
How many reviews can I extract at once?
Can I use this for client work at my agency?
How is this different from just reading the reviews on the site?
Can I schedule this tool to run automatically?
How fresh is the data?