Ecommerce products database
Download CSV with complete product data
Access 120M+ products with prices, images, descriptions, and seller information from major e-commerce platforms.
The most comprehensive e-commerce product database
Our e-commerce products database contains over 120 million products scraped from leading online retailers worldwide. This massive dataset includes everything from pricing and descriptions to high-resolution images and seller information, making it invaluable for market research, competitive analysis, and business intelligence.
Whether you're launching a dropshipping business, conducting market research, or building data-driven applications, our product database provides the foundation you need. All data is delivered in clean CSV format, ready for import into your tools and systems.
Multi-platform coverage
We don't limit ourselves to a single platform. Our database aggregates products from Shopify, WooCommerce, Amazon, BigCommerce, Magento, and dozens of other e-commerce platforms. This cross-platform approach gives you a complete view of the online retail landscape.
Complete product data
Each product record includes detailed information for market research and competitive analysis.
Power your business with product data
Our product database serves multiple industries and use cases.
Market research
Analyze pricing trends, product gaps, and competitive positioning across industries.
Dropshipping & sourcing
Find winning products, identify suppliers, and discover trending items before competitors.
Data analytics
Build dashboards, train ML models, and power business intelligence tools.
Competitor analysis
Track competitor catalogs, pricing changes, and new product launches.
Products by platform
Our database covers the major e-commerce platforms.
How we build the products database
Transparency in our product data collection and enrichment process.
Our product scraping process
Building the most comprehensive e-commerce products database requires scanning millions of online stores across multiple platforms. We identify product pages by analyzing page structure, schema markup, and e-commerce platform signatures. When we detect a product listing, we extract all available data: titles, descriptions, prices, images, variants, and seller information.
Our crawlers respect robots.txt guidelines while maintaining broad coverage. We process product data through multiple enrichment stages: category classification using machine learning, price normalization across currencies, image quality assessment, and seller verification. This multi-step pipeline ensures clean, standardized data ready for analysis.
Weekly updates & data quality
E-commerce catalogs change constantly. Products go out of stock, prices fluctuate, and new items launch daily. Our automated systems re-crawl the entire product database weekly, updating prices, availability, and removing discontinued products within days of detection.
We validate each product against multiple quality criteria: complete required fields, valid image URLs, reasonable price ranges, and proper categorization. Products failing validation are flagged for review or removed. This commitment to data quality makes our database reliable for market research and competitive analysis.
Frequently asked questions
Everything you need to know about our e-commerce products database.
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