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Amazon Reviews Scraper & Extractor — Amazon | Lagic

Built ForE-commerce & RetailConsumer Goods BrandsDigital Marketing Agencies

Extract Detailed Amazon Customer Reviews for Product Insights

Curated by Lagic·Verified working

Configure Agent

Amazon product URLs or ASINs (B005EJH6Z4)

WITHOUT cookies: max 15 reviews. WITH cookies: up to 10,000+ reviews

To get 100+ reviews, provide Amazon session cookies. How to get: 1) Log in to Amazon 2) F12 → Application → Cookies → Copy as JSON array [{"name":"session-id","value":"xxx"}]. Leave empty for quick 10-15 review sampling.

Filter reviews by stars. Example: ["1","2"] for negative reviews, ["5"] for positive only.

Only include verified purchase reviews

How to sort reviews

Results to deliver

400 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

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

Sample Data Preview

Reviewer's nameStar rating givenReview titleFull review textIndication if purchase was verifiedNumber of helpful votes received
Sample Text...Value...Sample Text...Value...Value...691
Sample Text...Value...Sample Text...Value...Value...612
..................
Exports as:CSVXLSXJSON

Overview

This tool extracts comprehensive Amazon customer reviews, including review text, star ratings, author names, helpful votes, and purchase verification, essential for in-depth product research and competitive analysis.

Understanding what customers truly think about products on Amazon is crucial for anyone involved in e-commerce, product development, or market research. The Amazon Reviews Scraper & Extractor provides a direct way to gather this valuable feedback. ### What Data You Get For each product, you'll receive a structured dataset containing individual review details. This includes the reviewer's `authorName`, the `rating` they gave, the `title` of their review, and the full `text` of their comments. You'll also see if it was a `verifiedPurchase`, how many `helpfulVotes` it received, the `reviewDate`, the specific `productAsin` it relates to, and even the `variant` of the product if specified in the review. ### How It Helps Your Business This granular data allows you to perform deep sentiment analysis, identify common product pain points or celebrated features, track competitor product reception, and inform your own product development cycles. Whether you're a brand looking to improve your offerings, a marketing agency monitoring client products, or a reseller seeking market trends, this tool delivers the raw material for informed decisions. ### Scaling Your Data Collection The tool offers flexibility in how much data you collect. For quick checks or small-scale sampling, you can extract up to 15 reviews per product without any special setup. However, for extensive research requiring hundreds or even thousands of reviews per product, you can provide Amazon session cookies. This enables the tool to bypass typical scraping limitations and gather up to 10,000+ reviews, giving you a much broader dataset for analysis. ### Advanced Filtering for Focused Insights You're not limited to collecting all reviews. The tool allows you to `filter by star rating` (e.g., only 1-star or 5-star reviews), include `verified purchases only`, and `sort by` 'recent', 'helpful', or 'all' reviews. These advanced options help you focus your data collection on specific types of feedback, making your analysis more targeted and efficient.

Key Capabilities

  • Reviewer's name
  • Star rating given
  • Review title
  • Full review text
  • Indication if purchase was verified
  • Number of helpful votes received
  • Date the review was posted
  • Amazon Standard Identification Number (ASIN) of the product
  • Specific product variant mentioned in the review
  • Product teams gathering customer feedback to identify common issues or popular features for product improvement and roadmap planning.
  • E-commerce sellers monitoring competitor product reviews to understand their strengths and weaknesses and refine their own listings and strategies.
  • Marketing agencies performing sentiment analysis for clients to gauge brand perception and inform content or advertising campaigns.
  • Market researchers identifying emerging trends or unmet customer needs within specific product categories on Amazon.
  • Quality assurance teams tracking negative reviews to quickly address product defects or customer service issues.
  • Affiliate marketers evaluating product sentiment and authenticity to recommend high-quality items to their audience.
  • Data analysts building datasets of customer opinions for machine learning models focused on natural language processing or predictive analytics.

Field Dictionary

How To Run This Extractor

1

1. Provide a list of Amazon product URLs or ASINs for the products you want to analyze.

2

2. Set the maximum number of reviews you wish to extract per product.

3

3. (Optional) If you need more than 15 reviews, provide your Amazon session cookies to enable large-scale extraction.

4

4. (Optional) Apply filters to narrow down reviews by star rating, or choose to include only verified purchases.

5

5. Select how you want the reviews sorted: by 'recent', 'helpful', or 'all'.

6

6. Run the tool to collect the detailed customer feedback, ready for your analysis.

Frequently Asked Questions

What is an ASIN and how do I find it?
An ASIN is an Amazon Standard Identification Number, a unique 10-character alphanumeric identifier for products. You can find it in the product's URL (e.g., amazon.com/dp/B005EJH6Z4) or in the Product Information section of an Amazon product page.
Do I need to be a developer to use this tool?
What are Amazon session cookies and why do I need them?
How do I get Amazon session cookies safely?
What file formats can I export the extracted reviews in?
Can I get reviews for specific star ratings only?
How fresh is the extracted data?
Is this tool suitable for client work or agency use?
What if Amazon changes its website structure?
Is there a limit to how many products I can scrape?