Global Amazon Reviews Data — Ratings, Review Text & Sentiment

  • Home
  • /   Websites
  • /   Global Amazon Reviews Data — Ratings, Review Te...

Description

Explore Global Amazon Reviews Data, a comprehensive collection of customer reviews sourced from Amazon's regional storefronts worldwide — including amazon.com, amazon.in, amazon.co.uk, amazon.de, amazon.co.jp, and more. Each record captures the full review: product ASIN, reviewer name, rating (1–5), review title, review text, verified purchase flag, helpful votes, review date, product category, and store/domain. Data is structured and delivered in CSV or JSON format, making it immediately usable for sentiment analysis, NLP model training, recommendation system development, and customer feedback research. Whether you need amazon reviews data for a specific region or global multi-market coverage, this dataset provides structured, timestamped records ready for analysis at scale. Ideal for ecommerce intelligence, product analytics, competitive research, AI training data, and fine-tuning large language models on real-world consumer sentiment.

Highlights

  • Access 239,779 product reviews from a major e-commerce marketplace.

  • Global coverage across diverse product categories from amazon.com.

  • Features recent product reviews, including data imported in 2024.

  • Includes rich review text, ratings, product details, and reviewer insights.

Sample Data

Preview of available data:

Asin Body Date Size Color Style Title Images Rating Country Version Review Id Category 1 Category 2 Category 3 Product Url Imported At Product Name Helpful Votes Reviewer Name Verified Purchase
B0018PXX2I This works very well at rem... June 4, 2025 4 Fl Oz (Pack of 1) \N \N Patience is a virtue \N 5 United States 1782588887580 0000019721 Automotive Oils & Fluids Cleaners https://www.amazon.com/dp/B... 2026-06-27 19:34:47 Permatex 80645 Low VOC Gask... \N TJ True
B01MT6HNXS This is a terrible design .... September 27, 2025 \N \N \N These new ones are so, so t... \N 1 United States 1782588887580 0000144989 Health & Household Oral Care Dental Floss & Picks https://www.amazon.com/dp/B... 2026-06-27 19:34:47 Oral-B Threader Floss, 30-C... 32 people found this helpful vklasc True
B0DY7MXL7F First of all, I was sent th... April 27, 2025 \N Emerald \N Cheaper than expected \N 4 United States 1782588887580 0000201707 Clothing, Shoes & Jewelry Women Jewelry https://www.amazon.com/dp/B... 2026-06-27 19:34:47 Channel Set Moissanite/Blue... \N Misty Frogg False
B0F3HQPVBN Did the trick May 28, 2026 4 pack \N \N Good ["https://m.media-amazon.co... 5 United States 1782588887580 0000217512 Sports & Outdoors Sports & Outdoor Recreation... Ball Storage https://www.amazon.com/dp/B... 2026-06-27 19:34:47 Ball Holder Wall Mount Set ... \N Simone Duvoisin True
B0F1CF8HY3 We purchased 4 of these gat... January 31, 2026 \N \N \N Sturdy, safe and easy to use. \N 5 United States 1782588887580 0000228315 Baby Products Safety Gates & Gate Extensions https://www.amazon.com/dp/B... 2026-06-27 19:34:47 62.2-71.6" Extra Wide Baby ... \N Vickie I. True
B000CN7CU6 Not as big as the original ... March 25, 2021 \N \N \N Good pArt \N 4 United States 1782588887580 0000250633 Automotive Replacement Parts Shocks, Struts & Suspension https://www.amazon.com/dp/B... 2026-06-27 19:34:47 Energy Suspension- 9.9101R ... \N Miller True
B077MH1HGK I am giving this ready to f... June 20, 2026 8 Fluid Ounces (Pack of 24) \N Ready To Feed Excellent value for money! ... ["https://m.media-amazon.co... 5 United States 1782588887580 0000301388 Baby Products Feeding Baby Foods https://www.amazon.com/dp/B... 2026-06-27 19:34:47 Enfamil NeuroPro Baby Formu... 2 people found this helpful Baby jiang True
B07Q33RFHN I am in my late 70s, 4’11” ... October 31, 2025 100–120 cm (for Height: 4’1... EVA Blue \N Attention Seniors who want ... \N 5 United States 1782588887580 0000380175 Sports & Outdoors Outdoor Recreation Camping & Hiking https://www.amazon.com/dp/B... 2026-06-27 19:34:47 Trekology Trek-Z Collapsibl... 54 people found this helpful 0 True
Sign In to Download

Data Fields

This dataset includes the following data points:

Review Id
Asin
Product Url
Product Name
Category 1
Category 2
Category 3
Reviewer Name
Rating
Title
Date
Country
Body
Verified Purchase
Color
Size
Style
Helpful Votes
Images
Version
Imported At

Why This Data

This reviews dataset from Amazon provides comprehensive market intelligence and competitive insights. Perfect for:

  • Market Research: Understand market trends and customer preferences
  • Competitive Analysis: Compare pricing, products, and strategies
  • Business Intelligence: Make data-driven decisions
  • Price Monitoring: Track price changes and optimize your pricing

Use Cases

This dataset is perfect for various applications:

Market Research & Consumer Sentiment Analysis: Brand strategists analyze Ratings, Body text, and product Categorys from a major e-commerce marketplace to identify consumer pain points, product strengths, and emerging needs across various product lines.

AI/ML Model Training for Product Intelligence: Data scientists train natural language processing (NLP) models using Review Title and Body text, coupled with Ratings and specific product attributes like Color and Size, to enhance sentiment analysis and feature extraction for products sold on a global online retail platform.

Product Benchmarking & Competitive Analysis: Product development teams leverage Ratings, Helpful Votes, and detailed Body feedback for competitor Product Names within specific Categorys from a leading online shopping destination to benchmark performance and identify areas for product improvement.

SEO Content Strategy & Topic Discovery: Content marketers extract common questions, descriptive phrases, and long-tail keywords from Review Titles and Body content of products across different Categorys on a prominent e-commerce site to inform and optimize content strategy for better organic search visibility.

Geographic & Trend Forecasting: Business analysts track regional product preferences and emerging trends by analyzing Ratings, Body sentiment, and product attributes across different Countrys and Date ranges for specific Categorys on a large online marketplace.

Get Access to This Dataset

Start using this dataset today. Available in CSV, JSON, and Excel formats with flexible access options.

Request Access Contact Sales

Frequently Asked Questions

This dataset provides detailed information for each review, including `review_id`, product identifiers like `asin` and `product_url`, product details such as `product_name` and `category_1`, as well as review specifics like `rating`, `title`, `body`, and `date`. It also covers reviewer insights like `reviewer_name` and `country`, alongside purchase verification (`verified_purchase`) and product variations (e.g., `color`, `size`, `style`), plus engagement metrics like `helpful_votes` and associated `images`.

The dataset includes an `_imported_at` timestamp for each record, indicating when the review data was last ingested into the system. While specific update cycles are not detailed, this timestamp allows users to assess the freshness of individual review entries. New reviews are continually collected from the source, aiming to keep the dataset as current as possible.

This comprehensive reviews dataset is typically delivered in common, accessible formats such as CSV or JSON, suitable for various analytical and integration purposes. Data can be accessed via secure download links or integrated directly into your systems through a dedicated API, facilitating seamless ingestion. We aim to offer flexible delivery options to suit diverse client needs and technical environments.

Market researchers, product managers, data scientists, and AI/ML engineers can significantly benefit from this rich dataset. They commonly leverage this data to perform sentiment analysis, track product performance across categories like `Automotive` or `Health & Household`, identify emerging trends, and monitor competitor activity. This data is invaluable for building recommendation systems, training natural language processing models, and gaining deep consumer insights from various `country` locations.

We offer various customization options to tailor the dataset to specific research needs, allowing filtering by product `asin`, `category_1`, `date` ranges, or specific `country` of origin. Our dedicated support team is available to assist with data integration, answer technical questions, and help optimize your use of the dataset for maximum insight. We strive to ensure a smooth experience from data acquisition to analysis.

The data is systematically collected from a major global e-commerce marketplace, specifically from publicly available product review pages on the amazon.com domain. Our robust collection process employs advanced crawling and scraping technologies designed to capture all available data points such as `rating`, `title`, `body`, and `verified_purchase` status accurately. Each record undergoes rigorous quality assurance checks, including data validation and deduplication, to ensure the highest fidelity and completeness.