1) Data Introduction • The Amazon Sales Dataset includes e-commerce product and consumer feedback data, including details on more than 1,000 products collected from Amazon's official website, discount prices, ratings, reviews, and categories.

2) Data Utilization (1) Amazon Sales Dataset has characteristics that: • The dataset includes a variety of product and review-related attributes, including product ID, product name, category, real and discounted prices, discount rates, ratings, rating numbers, product descriptions, user reviews, images, and product links. (2) Amazon Sales Dataset can be used to: • Product Rating and Review Analysis: Use rating and review data to analyze consumer satisfaction, popular products, review trends, and develop marketing strategies for each product. • Development of Price Policy and Recommendation System: Based on price information such as actual price, discount price, and discount rate, it can be used for price policy analysis, product recommendation system, consumer purchasing behavior prediction, etc.

According to forecasts, net sales of electrical products on Amazon are forecast at over *** billion U.S. dollars. With a compound annual growth rate of **** percent, this figure is expected to exceed *** billion dollars by 2026. Yet, the category expected to grow the strongest on the e-commerce platform is health and beauty.

Explore our extensive Amazon Product Dataset, featuring detailed information on prices, ratings, sales volume, and more.

Gain extensive insights with our Amazon datasets, encompassing detailed product information including pricing, reviews, ratings, brand names, product categories, sellers, ASINs, images, and much more. Ideal for market researchers, data analysts, and eCommerce professionals looking to excel in the competitive online marketplace. Over 425M records available Price starts at $250/100K records Data formats are available in JSON, NDJSON, CSV, XLSX and Parquet. 100% ethical and compliant data collection Included datapoints:

Title Asin Main Image Brand Name Description Availability Subcategory Categories Parent Asin Type Product Type Name Model Number Manufacturer Color Size Date First Available Released Model Year Item Model Number Part Number Price Total Reviews Total Ratings Average Rating Features Best Sellers Rank Subcategory Buybox Buybox Seller Id Buybox Is Amazon Images Product URL And more

1) Data Introduction • The Amazon Products Sales Dataset 2023 is a large e-commerce dataset that summarizes various product information in a tabular format, including product name, price, rating, discount information, images, and links by 142 major categories collected from Amazon's website.

2) Data Utilization (1) Amazon Products Sales Dataset 2023 has characteristics that: • Each row contains 10 key attributes, including product name, main/subcategory, image, Amazon link, rating, number of ratings, discount price, and actual price. • The data encompasses a wide range of products and is structured to enable multi-faceted analysis such as price policy, customer evaluation, and trend by category. (2) Amazon Products Sales Dataset 2023 can be used to: • Product Recommendation and Marketing Strategy: Use rating, price, and category data to develop a customized recommendation system, analyze popular products, and establish a category-specific marketing strategy. • Price and Discount Policy Analysis—Based on discounted prices and actual prices, ratings, reviews, etc., it can be applied to effective pricing policies, promotion strategies, market competitiveness analyses, and more.

Buy Amazon datasets and get access to over 300 million records from any Amazon domain. Get insights on Amazon products, sellers, and reviews.

Dataset

This dataset was created by Hasan23

Contents

In 2019, Amazon's retail e-commerce sales in the United States amounted to ***** billion U.S. dollars and are projected to surpass *** billion U.S. dollars in 2021. The platform is the biggest e-retailer in the United States, ahead of brick-and-mortar-based competitors Walmart and Target.

This dataset includes 861 rows of books on the Amazon store in 2001.

The book's ISBN, Title, Weekly Sales, and Weekly Average Rank are provided.

Potential analysis can be implemented on the relationship between book rank and book sales. Even though the dataset is a bit "old", it still provides a certain vision to understand how Amazon has ranked each book.

With a good predictive model, we can even predict a book's potential sale on Amazon just given its rank.

According to forecasts as of March 2022, the sales share of electrical products on Amazon was expected at **** percent that year. By 2027, electrical products will make up **** percent of Amazon sales. Additionally, fashion and apparel was forecast to make up **** percent of Amazon sales by 2027, *** percentage point higher than in 2022.

Amazon reported $167.7B in Sales Revenues for its fiscal quarter ending in June of 2025. Data for Amazon | AMZN - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last September in 2025.

• 200K+ Seller Leads • Seller Type: Brand/PL Seller, 1P/Amazon Vendor Central and 3P Sellers • Selling Platforms: Amazon USA, UK, EU, CA, AU • C-Suite/Marketing/Sales Contacts • FBA/FBM Sellers • Filter your leads by revenue, categories, location, SKU's and more • 100% manually researched and verified.

For over a decade, we have been manually collecting Amazon seller data from various data sources such as Amazon, LinkedIn, Google, and others. We specialize in getting valid data so you may conduct ads and begin selling without hesitation.

We designed our data packages for all types of organizations, thus they are reasonably priced. We are always trying to reduce our prices to better suit all of your requirements.

So, if you’re looking to reach out to your targeted Amazon sellers, now is the greatest time to do so and offer your goods, services, and promotions. You can get your targeted Amazon Sellers List with seller contact information.

Alternatively, if you provide Amazon Seller Names or IDs, we will conduct Custom Research and deliver the customized list to you.

Data Points Available:

Full Name Linkedin URL Direct Email Generic Phone Number Business Name and Address Company Website Seller IDs and URLs Revenue Seller Review Count Niche FBA/Non-FBA Country and More

Tap into the power of verified Amazon sellers with our Amazon Sellers Email List, designed to help businesses connect with top eCommerce merchants. Access crucial details like Seller Name, Business Name, Contact Email, Phone Number, Revenue Size, Employee Size, and more. Enhance your marketing campaigns with highly targeted Amazon seller data, ensuring accurate outreach and increased conversions. Whether you're looking to partner with high-volume Amazon sellers or drive B2B sales, this list provides the right data to meet your goals. Key Highlights: ✅ 250K+ Amazon Sellers Worldwide ✅ Direct Contact Info for Amazon Store Owners ✅ 40+ Data Points ✅ Lifetime Access ✅ 10+ Data Segmentations ✅ FREE Sample Data

Amazon's apparel sales amounted to more than ** billion dollars in the United States in 2020. Amazon's sales in the clothing and fashion segment were estimated to have grown about ** percent compared to the previous year.

Utilize our Amazon reviews dataset for diverse applications to enrich business strategies and market insights. Analyzing this dataset can aid in understanding customer behavior, product performance, and market trends, empowering organizations to refine their product and marketing strategies. Access the entire dataset or tailor a subset to fit your requirements. Popular use cases include: Product Performance Analysis: Analyze Amazon reviews to assess product performance, uncovering customer satisfaction levels, common issues, and highly praised features to inform product improvements and marketing messages. Customer Behavior Insights: Gain insights into customer behavior, purchasing patterns, and preferences, enabling more personalized marketing and product recommendations. Demand Forecasting: Leverage Amazon reviews to predict future product demand by analyzing historical review data and identifying trends, helping to optimize inventory management and sales strategies. Accessing and analyzing the Amazon reviews dataset supports market strategy optimization by leveraging insights to analyze key market trends and customer preferences, enhancing overall business decision-making.

Download seller's data & convert sellers into leads into potential clients for your business. Amazon sellers' data including their addresses, brands, ASINs, phone, and more. Amazon US, UK, India, Canada, Mexico, and Italy country data available All data went through QA process We are updating data every 6 months

In 2023, Amazon.nl, the Dutch version of the online marketplace, generated just over one billion U.S. dollars in e-commerce net sales, mostly in the Netherlands and Belgium. This figure is forecast to grow to over *** billion U.S. dollars by 2025. For more information, please visit ecommerceDB.

This Excel-based dashboard visualizes Amazon sales performance using KPIs such as Total Sales, Profit, and Quantity Sold. Built with Pivot Tables, Slicers, and Charts, the dashboard includes regional breakdowns, product performance, and trend analysis. Suitable for beginners learning Sales Operations and Excel Dashboarding.

Comprehensive dataset analyzing Amazon product review counts across categories, including 40 reviews average, category-specific benchmarks, and reviews-to-sales ratios based on analysis of 31,900 brands and 12 million product reviews.

This dataset provides comprehensive real-time data from Amazon's global marketplaces. It includes detailed product information, reviews, seller profiles, best sellers, deals, influencers, and more across all Amazon domains worldwide. The data covers product attributes like pricing, availability, specifications, reviews and ratings, as well as seller information including profiles, contact details, and performance metrics. Users can leverage this dataset for price monitoring, competitive analysis, market research, and building e-commerce applications. The API enables real-time access to Amazon's vast product catalog and marketplace data, helping businesses make data-driven decisions about pricing, inventory, and market positioning. Whether you're conducting market analysis, tracking competitors, or building e-commerce tools, this dataset provides current and reliable Amazon marketplace data. The dataset is delivered in a JSON format via REST API.