Amazon Dataset
Access millions of pre-collected Amazon product records spanning multiple categories and time periods. Our comprehensive dataset includes historical pricing trends, review patterns, and seller performance metrics.
Leverage structured Amazon marketplace data for immediate analysis without the complexity of web scraping infrastructure. Each dataset includes verified product information with consistent data formatting and regular updates.
Explore market dynamics through ready-to-analyze datasets covering seasonal trends, competitive landscapes, and consumer behavior patterns across Amazon's ecosystem.
- 88,559 new entries per day (see new entries graph)
Warning: This dataset is available only to enterprise customers. Please contact us for more details.
Amazon Dataset Use Cases
Market Research & Entry Strategy
Analyze market saturation levels and identify underserved niches using comprehensive category data. Evaluate competitor density and pricing strategies to inform market entry decisions.
Pricing Strategy Optimization
Leverage historical pricing data to understand market dynamics and optimal price points. Identify pricing patterns that correlate with higher sales volumes and customer satisfaction.
Customer Sentiment Analysis
Access pre-analyzed review data to understand customer preferences and pain points across different product categories. Identify emerging trends in customer expectations and product features.
Supplier & Brand Performance Benchmarking
Compare supplier performance metrics and brand positioning across different market segments. Evaluate fulfillment strategies and customer service standards against industry benchmarks.
Amazon Dataset New Entries
The graph below contains real data based on our scraping operations. Latest update was 4 hours ago.
Advanced Amazon Web Scraper Available Now!
Get real-time Amazon data with custom processing to perfectly fit your data pipelines.
Real-time data with live updates from Amazon
Custom data processing to fit your specific pipelines
Scalable infrastructure that bypasses anti-bot measures
Datasets Available
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Amazon Dataset Benefits
Traditional data acquisition methods can be time-consuming, expensive, and often result in incomplete datasets.
Companies waste valuable resources and development time creating and maintaining their own data collection systems.
Rebrowser's ready-to-use Amazon dataset provides instant access to clean, structured data without any infrastructure headaches.
Contact Us →Immediate Availability
Access ready-to-use data instantly instead of waiting weeks or months to build your own data collection pipeline.
Structured & Clean Data
All datasets are thoroughly processed, normalized, and validated to ensure high-quality, consistent information.
Zero Maintenance
We handle all updates and data freshness, allowing you to focus on using the data rather than collecting it.
Cost Efficiency
Save thousands in development and infrastructure costs by leveraging our pre-built dataset instead of creating your own.
Disclaimer: Rebrowser is an independent data provider and is not affiliated with, endorsed by, or sponsored by Amazon. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect Amazon user credentials. By using this dataset, you agree to comply with Amazon's Terms of Service and all applicable laws and regulations. Images, logos, descriptions, and other materials included in this dataset remain the intellectual property of their respective owners and are provided solely for informational purposes. Rebrowser makes no warranties regarding the accuracy, completeness, or legality of the data and assumes no liability for how the data is used. You are solely responsible for ensuring that your use of this dataset, including any images or copyrighted materials, does not infringe on the rights of any third party.
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Frequently Asked Questions
This dataset provides comprehensive Amazon product data including pricing, product specifications, seller information, and customer reviews across millions of listings. Filter by category, price range, brand, or seller to access the specific product data you need.
The dataset tracks product prices across the marketplace with regular updates. Monitor how competitors price similar products, identify pricing patterns, and analyze how prices change during sales events, seasonal shifts, and promotional periods.
The dataset includes customer review counts, average ratings, and review content data. Analyze customer sentiment by product category, identify common complaints, study what drives high ratings, and track review trends over time.
Seller records include seller names, ratings, and product counts. Study marketplace dynamics, analyze seller concentration by category, identify top sellers, and understand how seller reputation affects pricing and sales performance.
The dataset captures bestseller rankings and category position data. Monitor which products are trending, track ranking changes over time, and identify emerging product categories and market opportunities.
Yes — use the dataset to research product demand, pricing benchmarks, and competitive landscape before launching new products. Analyze category saturation, identify pricing sweet spots, and study what product features drive the highest ratings.
Records include detailed product attributes, category hierarchies, brand information, and product descriptions. Analyze how product features affect pricing and ratings, study brand positioning within categories, and map the product taxonomy.
Historical pricing data reveals how products are discounted during Prime Day, Black Friday, and other major events. Study discount patterns by category, analyze which products see the deepest price cuts, and plan competitive pricing strategies.
Filter and aggregate data by Amazon's category hierarchy to understand market structure. Analyze average pricing, review volumes, seller counts, and product density across categories to identify opportunities and competitive dynamics.
The dataset is updated regularly to capture price changes, new listings, and updated reviews. Historical data enables trend analysis, seasonal pattern identification, and long-term market research across Amazon's marketplace.
Brand owners use the dataset to monitor unauthorized sellers, track pricing compliance, and identify counterfeit listings. Study how your products are priced and represented across the marketplace and detect policy violations.
The dataset includes fulfillment method indicators (FBA vs FBM), shipping costs, and delivery estimates. Analyze how fulfillment method affects pricing and sales performance, and study shipping cost patterns across product categories.
Data is available in CSV, JSON, XLSX, Parquet, and NDJSON formats. Apply category, price, and attribute filters before export to get precisely the product data needed for your competitive intelligence or market research.
Study how new products enter the marketplace — initial pricing, review accumulation patterns, and ranking trajectories. Analyze successful launch strategies by category and identify the factors that drive early product success.
The dataset captures pricing from multiple sellers per product, enabling Buy Box competition analysis. Study how many sellers compete per product, analyze winning price points, and understand pricing dynamics in competitive listings.
