Use our Zara dataset for any project related to eCommerce and retail. Analyzing the Zara dataset can help retailers understand Zara's pricing and product strategies and adjust their strategy accordingly to remain competitive. Get a complete overview of Zara’s pricing and products. The dataset includes all major data points: Product name, Price Category name, Materials, Matched, Similar products, Low on stock, Image and much more!

Bright Data’s retail data collector is enabling you to collect crucial data points for your business plan and strategy. These data sets include pricing, product descriptions, customer reviews, special offers, shipping information, customer location, trends and consumer habits. Bright Data’s retail data collector is uniquely crafted to enable your digital commerce business gain a competitive edge by collecting key data sets, including: Pricing, Competitive landscape, Special offers, Customer reviews, Pictures and videos, Seller ratings, Consumer search trends, Search engine results for products, stores and websites, Competitor advertisement scanning.

We will build an eBay dataset based on your needs. Data points may include P/N, product name, brands, description, price, list price, discount, product ratings and reviews, shipping details, seller details, categories, and more. Receive full coverage or a subset. Define a pricing strategy and create dynamic pricing models by matching similar eBay products and categories among competitors. Analyze eBay ratings and consumer feedback on shipping time, shipping charges, product match, and quality of communication sellers have with their customers.

Use an Etsy dataset to measure customer demographics, purchase patterns, product preferences, product reviews, and more. You can adjust marketing and sales strategies accordingly by understanding target market satisfaction and preferences. Determine the optimal price for your products by analyzing competitor pricing data on similar products. Ensure your pricing remains competitive and adjust as necessary to maximize sales and profits. Examine the popularity of products and product categories and the performance of specific products over time. To make informed restocking and production planning decisions, use the data to monitor sales trends and inventory levels.