Context

This Dataset is an updated version of the Amazon review dataset released in 2014. As in the previous version, this dataset includes reviews (ratings, text, helpfulness votes), product metadata (descriptions, category information, price, brand, and image features), and links (also viewed/also bought graphs). In addition, this version provides the following features:

• More reviews:

  • The total number of reviews is 233.1 million (142.8 million in 2014).

• New reviews:

  • Current data includes reviews in the range May 1996 - Oct 2018.

• Metadata: - We have added transaction metadata for each review shown on the review page.

  • Added more detailed metadata of the product landing page.

Acknowledgements

If you publish articles based on this dataset, please cite the following paper:

• Jianmo Ni, Jiacheng Li, Julian McAuley. Justifying recommendations using distantly-labeled reviews and fined-grained aspects. EMNLP, 2019.

Unlock powerful insights with the Amazon Electronics dataset, offering access to millions of records from any Amazon domain. This dataset provides comprehensive data points such as product titles, descriptions, brand details, pricing (initial and discounted), availability, customer ratings, reviews, and product categories. Additionally, it includes unique identifiers like ASINs, images, and seller information, allowing you to analyze product listings, trends, and customer preferences with precision. Use this dataset to optimize your eCommerce strategies by benchmarking competitor pricing, identifying top-performing brands, and tracking customer sentiment through reviews and ratings. Gain valuable insights into consumer demand, seasonal trends, and market gaps to make data-driven decisions that enhance your inventory management, marketing campaigns, and pricing strategies. Whether you’re a retailer, marketer, data analyst, or researcher, the Amazon Electronics dataset empowers you with the data needed to stay competitive in the dynamic eCommerce landscape. Available in various formats such as JSON, CSV, and Parquet, and delivered via flexible options like API, S3, or email, this dataset ensures seamless integration into your workflows.

With roughly ****** product reviews, the car Bluetooth adapter by brand COMSOON was the most popular consumer electronics product for vehicles on amazon.com as of September 2023. The wiring kits by BOSS Audio Systems followed in the ranking, with roughly **** thousand product reviews.

Dataset

This dataset was created by Niall Walsh

Contents

This folder contains the 400-features for Amazon Review dataset.There are 4 domains: Books, DVDs, Electronics, and Kitchen appliances.Each domain has around 2000 samples belongs to 2 classes: positive or negative.Each .mat file contains a 'fts' and a 'labels' fields for features and labels, respectively.For reference, please refer to: Chen M, Xu Z, Weinberger K, et al. Marginalized denoising autoencoders for domain adaptation. ICML 2012.

Amazon Review 2023 is an updated version of the Amazon Review 2018 dataset. This dataset mainly includes reviews (ratings, text) and item metadata (desc- riptions, category information, price, brand, and images). Compared to the pre- vious versions, the 2023 version features larger size, newer reviews (up to Sep 2023), richer and cleaner meta data, and finer-grained timestamps (from day to milli-second).

These datasets consist of product reviews we ourselves collected from Amazon.com, starting from the year 2008 to 2020, spanning across seven different domains, namely, book (Harry Potter Paperback Box Set (Books 1-7)), pharmaceutical (Turmeric Curcumin Supplement by Natures Nutrition), electronics (Echo Dot 3rd Gen by Amazon), grocery (Sparkling Ice Blue Variety Pack), healthcare (EnerPlex 3-Ply Re-usable Face Mask), entertainment (Harry Potter: The Complete 8-Film Collection), and personal care (Nautica Voyage By Nautica). These datasets consist of 5000 reviews each.

About This Data

This is a list of over 34,000 consumer reviews for Amazon products like the Kindle, Fire TV Stick, and more provided by Datafiniti's Product Database. The dataset includes basic product information, rating, review text, and more for each product.

Note that this is a sample of a large dataset. The full dataset is available through Datafiniti.

What You Can Do With This Data

You can use this data to analyze Amazon’s most successful consumer electronics product launches; discover insights into consumer reviews and assist with machine learning models. E.g.:

• What are the most reviewed Amazon products?
• What are the initial and current number of customer reviews for each product?
• How do the reviews in the first 90 days after a product launch compare to the price of the product?
• How do the reviews in the first 90 days after a product launch compare to the days available for sale?
• Map the keywords in the review text against the review ratings to help train sentiment models.

Data Schema

A full schema for the data is available in our support documentation.

About Datafiniti

Datafiniti provides instant access to web data. We compile data from thousands of websites to create standardized databases of business, product, and property information. Learn more.

Interested in the Full Dataset?

You can access the full dataset by running the following query with Datafiniti’s Product API.

{ "query": "dateUpdated:[2017-09-01 TO *] AND brand:Amazon* AND categories:* AND primaryCategories:* AND name:* AND reviews:*", "format": "csv", "download": true }

**The total number of results may vary.*

Get this data and more by creating a free Datafiniti account or requesting a demo.

During Amazon Prime day sales in July 2022 in India, smartwatches had a higher additional discount of **** percent among electronics. By contrast, smartphones had an average discount of *** percent during the Prime day sales.

Dataset

This dataset was created by Phát Phan Tấn

Contents

These datasets consist of product reviews we ourselves collected from Amazon.com, starting from the year 2008 to 2020, spanning across seven different domains, namely, book (Becoming by Michelle Obama), pharmaceutical (Turmeric Curcumin Supplement by Natures Nutrition), electronics (Echo Dot 3rd Gen by Amazon), grocery (Sparkling Ice Blue Variety Pack), healthcare (EnerPlex 3-Ply Re-usable Face Mask), entertainment (Harry Potter: The Complete 8-Film Collection), and personal care (Nautica Voyage By Nautica). These datasets consist of 5000 reviews each.

Dataset

This dataset was created by Pritam Choudhary

Contents

Consumer electronics and electrical appliances were the top-selling products on the Dutch Amazon marketplace in 2024. Electronics accounted for a new sales share of over ** percent on amazon.nl. Hobby & Leisure followed as a close second, with just over one-third of sales. For more information, please visit ecommerceDB.com.

Consumer electronics brand Cablepelado was the most reviewed Amazon seller on the Spanish platform. In the 30 days ending May 24, 2024 Spanish users left over 1,000 positive reviews on the brand's products. The brand Trade-Inn followed with 693 positive reviews.

This statistic shows a ranking with the top 10 discounts on electronic and technological products according to gouforit.com in Amazon Spain during the Black Friday in 2016. That year, during Black Friday, the Sennheiser headphones were on sale for ** percent off their normal price in Amazon Spain.

Dataset

This dataset was created by Krishna Chaitanya Yarlagadda

Contents

According to a study of iOS users in the United States, spending on Amazon marketplace changes by generation and product category. The biggest gap was in consumer electronics. Users from Generation X would spend ***** U.S. dollars on this category of products, followed by Gen Z shoppers at ***** U.S. dollars. In turn, Millennials would not spend more than **** U.S. dollars, on average.

In 2022, the product type bought most on amazon.de was electronics, making up for almost ** percent of the total revenue. Fashion made up just *** percent.

Gain more in-depth insights about the global e-commerce and leading marketplaces at ecommercedb.com.

Using it for assessment.

  Dataset for Multi Domain （Including Kitchen, Books, DVDs, and Electronics）

Multi-Domain Sentiment Dataset by John Blitzer, Mark Dredze, Fernando Pereira.

  Description：

The Multi-Domain Sentiment Dataset contains product reviews taken from Amazon.com from 4 product types (domains): Kitchen, Books, DVDs, and Electronics. Each domain has several thousand reviews, but the exact number varies by domain. Reviews contain star ratings (1 to 5 stars) that… See the full description on the dataset page: https://huggingface.co/datasets/JSSICE/Multi-Domain-Sentiment-Dataset.

Introduction

How Many People Shop On Amazon?: Amazon stands as one of the most widely used online shopping platforms globally, attracting millions of customers each year. People shop on Amazon for a wide range of products, including books, electronics, groceries, clothing, and more. The platform operates in over 20 countries, offering localized websites to meet the demands of regional shoppers. In the United States alone, Amazon had over 230 million unique monthly visitors in 2024. It is estimated that nearly 75% of American adults have made at least one purchase on Amazon.

Globally, Amazon processes more than 1.6 million packages per day. Its mobile shopping app has been downloaded over 300 million times, making it one of the most used e-commerce apps worldwide. In terms of revenue, Amazon generated over USD 570 billion in 2024, with online product sales accounting for more than USD 220 billion of that total. With thousands of sellers, fast delivery options, and a wide product selection, Amazon continues to dominate the online retail space and remains a key player in shaping global e-commerce habits.

The topic of the inquiry into the transformations in the number of yearly Amazon consumers, including how often they purchase, who they are, how much they spend, and more, is illustrated through numbers, percentages, and genuinely trustworthy sources.