Amazon Dataset

Note: This is a FREE SAMPLE dataset that includes 1,000 rows. For expanded datasets, additional records, or continuous data refreshes, please contact the provider.

This is a complimentary sample of our comprehensive Amazon dataset collection - perfect for evaluating data quality, testing your analytics workflows, and validating our schema. Please note: this sample includes 1,000 records and represents a static historical snapshot.

Need MORE records or FRESH, continuously updated data?
Download this free sample and our team will contact you within 24 hours to discuss:
• Full dataset access - Millions of records across all Amazon US categories
• Fresh data refreshes - Daily, weekly, or monthly updates with current pricing, rankings, and reviews
• Custom data fields - Tailored attributes specific to your business needs
• Enterprise-scale solutions - Production-ready datasets with automated delivery
• Exclusive Databricks Marketplace pricing

What's Included in This Dataset Collection

This comprehensive Amazon dataset provides three powerful data views to give you complete e-commerce intelligence:

Amazon Best Seller Products Dataset
Identify top-selling products and sellers, and track them across various categories and subcategories. Perfect for understanding what's winning in the marketplace right now.
Key Data Points:
-Brand: Recognizable brand names associated with top-performing products
-Product: Details and specifics of the best-selling items
-Bestseller Ranking: Positioning within Amazon's coveted bestseller list
-Product Category: Categorized and subcategorized items for easy market segmentation
-Seller: Information about sellers offering these high-demand products
-Price: Pricing details of the best-selling items
-Reviews: Consumer sentiments and feedback that shape purchasing decisions

Amazon Products Dataset
Gain invaluable insights into comprehensive product data and real-time inventory changes across Amazon US. Track products across all categories and subcategories.
Key Data Points:
-ASIN: Amazon Standard Identification Number for unique product tracking
-Description: Full product descriptions and specifications
-Price: Current pricing information
-Discount: Active discount percentages and promotional pricing
-Ratings: Average customer ratings and rating counts
-Sellers: Seller information and competitive landscape
-Reviews: Review counts and summaries
-And more: Additional attributes for comprehensive product intelligence

Amazon Product Ratings and Reviews Dataset
Deep-dive into customer sentiment with detailed ratings and reviews collected from Amazon.com. Covers a variety of product categories with customer reviews and corresponding ratings on a scale of 1 to 5 stars.
Key Data Points:
-URL: Source URLs for reviewed products
-Product Name: Name of the product
-Rating: Numerical rating (1-5 stars)
-Author Name: Reviewer's name/username
-Brand: Product's brand
-Review Date: Date of review posting
-Review Text: Full feedback text provided by the reviewer

Popular Use Cases

Competitive Intelligence:
-Analyze market trends and competitor strategies across categories
-Monitor competitor pricing, positioning, and product performance
-Identify gaps in the market and emerging opportunities
-Track how competitors respond to market changes

Product & Trend Tracking:
-Monitor products in vogue across diverse categories
-Identify trending items before they become mainstream
-Track product lifecycle from launch to maturity
-Discover seasonal trends and emerging product categories

Customer Sentiment Analysis:
-Understand consumer feedback, preferences, and pain points
-Analyze review sentiment to gauge product satisfaction
-Identify common complaints and improvement opportunities
-Track sentiment changes over time

Price Monitoring & Optimization:
-Track pricing strategies of rival sellers in real-time
-Optimize your pricing based on market dynamics
-Identify pricing patterns among top sellers
-Monitor discount strategies and promotional trends

Inventory & Product Development:
-Optimize inventory based on best-selling trends
-Identify high-demand products for your catalog
-Support product development aligned with market dynamics
-Enhance product selection based on real performance data

Market Research & Analysis:
-Discover popular and highly-rated products across categories
-Aid informed business decisions with market trend data
-Identify high-performing categories and niches
-Understand market dynamics for strategic planning

Why This Dataset is Valuable

For E-commerce Businesses:
-Competitive advantage through data-driven decision making
-Inventory optimization based on real market performance
-Pricing strategies informed by competitor analysis
-Product development in tune with market dynamics

For Market Researchers:
-Comprehensive view of Amazon marketplace trends
-Consumer behavior insights through review analysis
-Category performance benchmarking
-Brand positioning and perception analysis

For Data Scientists & Analysts:
-Rich dataset for sentiment analysis and NLP projects
-Price elasticity and competitive analysis modeling
-Trend forecasting and predictive analytics
-Customer behavior pattern recognition

For Brands & Manufacturers:
-Monitor your products vs. competitors in real-time
-Track brand reputation through reviews and ratings
-Identify unauthorized sellers or pricing violations
-Understand customer pain points and product opportunities

Important: Free Sample vs. Full Dataset

What You're Getting (Free Sample):
-1,000 sample records
-Static snapshot (historical date)
-Standard data fields
-Single category/subset
-One-time download
-Evaluation/testing purposes

What's Available (Contact Us):
-Millions of records across all categories
-Daily, weekly, or monthly refreshes
-Custom fields tailored to your needs
-All Amazon US categories or custom filters
-Automated delivery, API access, or scheduled exports
-Production-ready enterprise data solutions

This free sample is ideal for:
✓ Testing data quality and completeness
✓ Validating schema compatibility with your systems
✓ Running proof-of-concept analyses
✓ Building data pipelines before production deployment

For production use, you'll need:
✓ Fresh, continuously updated data (not static historical snapshots)
✓ Larger record counts (millions vs. 1,000)
✓ Custom refresh schedules aligned with your business needs
✓ Additional data fields and custom filtering options