Retail Datasets for Product, Price & Inventory Intelligence

Structured product catalogs, prices, availability, ratings, reviews, images, and category data from leading ecommerce retailers.

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Example retail product record

This illustrative record shows a common normalized structure. Exact fields and availability vary by retailer and dataset.

{
  "product_id": "SKU-10482",
  "title": "Example Hydrating Serum",
  "brand": "Example Brand",
  "category": "Beauty > Skincare > Serums",
  "current_price": 29.99,
  "original_price": 34.99,
  "currency": "USD",
  "availability": "in_stock",
  "rating": 4.4,
  "review_count": 318,
  "product_url": "https://retailer.example/product/10482",
  "collected_at": "2026-09-01"
}

How to evaluate a retail dataset

  • Confirm the source, region, collection date, and refresh schedule.
  • Check SKU coverage, category distribution, missing values, and duplicate products.
  • Verify whether prices include currency, promotions, variants, and original price.
  • Determine whether availability is a current snapshot or historical observation.
  • Review image delivery, licensing, and permitted redistribution before integration.
Browse retail datasets

Optimize Your Retail Strategy with Comprehensive Data

Explore our comprehensive retail data solutions, offering detailed information on product pricing, inventory, customer behavior, and market trends. Ideal for retailers looking to optimize strategies and enhance decision-making.

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Retail Data Overview

Types of Retail Data Available

We offer various types of retail data to meet your business needs.

Product Pricing Data

Stay competitive with up-to-date pricing information across different retailers for effective price comparison.

Inventory Data

Gain insights into stock levels, product availability, and inventory turnover to optimize supply chain management.

Customer Behavior Data

Understand customer preferences, purchasing patterns, and loyalty metrics to tailor marketing strategies.

Market Trends

Access data on emerging trends, popular products, and shifts in consumer demand to stay ahead of the competition.

Benefits of Our Retail Data Solutions

  • →
    Data-Driven Decisions
    Make informed decisions based on accurate, up-to-date data.
  • →
    Competitive Advantage
    Stay ahead by leveraging insights into pricing, inventory, and customer behavior.
  • →
    Operational Efficiency
    Optimize inventory management and reduce costs with comprehensive data.
  • →
    Enhanced Customer Experience
    Improve satisfaction by understanding and responding to customer needs.
Retail Data Benefits

Supported Data Formats

Data is compatible with all major analytics and reporting tools.

CSV JSON Excel / XLSX

Example Sources for Retail Datasets

Game Spot Sephora Ulta Beauty Nykaa Walmart Amazon Etsy Flipkart eBay Home Depot Wayfair Overstock

Frequently Asked Questions

Fields vary by retailer and collection, but commonly include product ID or SKU, title, brand, category, description, current and original price, currency, availability, rating, review count, image URLs, product URL, and collection date.

CrawlFeeds maintains datasets from sources including Amazon, Walmart, Sephora, Ulta Beauty, Nykaa, Etsy, Flipkart, eBay, Home Depot, Wayfair, and other specialist retailers. Current coverage is available in the data catalog.

Yes. Catalog pages show representative fields and sample records when available, and a sample matched to a retailer or category can be requested before a full delivery.

Refresh frequency depends on the source and use case. One-time snapshots and recurring weekly, monthly, or custom schedules are available. Confirm the visible collection date and refresh terms for a specific dataset.

Yes. Retail extracts can be filtered by retailer, category, brand, geography, price range, product list, or availability when those attributes exist at the source.

Retail datasets are commonly delivered as CSV or JSON. Excel and image-download packages can be arranged for compatible collections.

Yes. Repeated product observations can support competitor price monitoring, promotion analysis, assortment comparison, and availability tracking. A historical analysis requires multiple dated snapshots rather than a single current catalog.

Raw-data redistribution or resale is not included by default. Review the applicable license and request expanded rights if your product requires redistributing record-level data.

Ready to Get Started?

Browse our pre-crawled retail datasets or submit a custom data request.

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