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Sample dataset of 1001 Zara products, extracted via Bright Data API, featuring essential data points for pricing optimization, product personalization, and product inventory.

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Zara-dataset-samples

A sample dataset of 1001 Zara products

Zara products dataset header

A Zara products dataset sample of over 1000 records. Dataset was extracted using the Bright Data API.

Some of the data points that are included in the Zara products dataset:

  • category_id: The identifier for the category to which the product belongs
  • product_id: A unique identifier or code associated with the product
  • product_name: The name or title of the Zara product
  • price: The regular or original price of the product
  • currency: The currency
  • colour_code: The color code associated with the product
  • colour: The color or colors available for the product
  • description: A textual description of the product
  • size: The size or sizes available for the product
  • section: The section of the store or website where the product is located
  • product_family: The family or category to which the product belongs
  • product_subfamily: The subfamily or sub-category to which the product belongs
  • care: Information about the care or maintenance of the product
  • materials_description: A description of the materials used in the product
  • materials: Information about the materials used in the product
  • dimension: The dimensions or size measurements of the product
  • low_on_stock: Indicates whether the product is low on stock (boolean: True/False)
  • availability: Indicates whether the product is currently available (boolean: True/False)
  • image: An image representing the Zara product
  • sku: The stock keeping unit or unique identifier associated with the product
  • url: The URL or link to the product page

And a lot more.

This is a sample subset which is derived from the "Zara products" dataset which includes more than 999K records.

Available dataset file formats: JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.

Dataset delivery type options: Email, API download, Webhook, Amazon S3, Google Cloud storage, Google Cloud PubSub, Microsoft Azure, Snowflake, SFTP.

Update frequency: Once, Daily, Weekly, Monthly, Quarterly, or Custom basis.

Data enrichment available as an addition to the data points extracted: Based on request.

Get the full Zara products dataset.

What are the Zara products datasets use cases?

1. Pricing Optimization

Create a pricing strategy and dynamic pricing models by comparing similar Zara products and categories with competitors. This will help optimize pricing and ensure competitiveness in the market.

2. Product Inventory

Identify inventory gaps in Zara's product range, track rising demand for specific items, and pinpoint products that are trending with consumers to better align stock levels with market needs.

3. Market Strategy

Utilize the Zara dataset to conduct market strategy analysis, uncovering key trends and customer preferences to inform decision-making and improve product offerings.

Free access to web scraping tools and datasets for academic researchers and NGOs

The Bright Initiative offers access to Bright Data's Web Scraper APIs and ready-to-use datasets to leading academic faculties and researchers, NGOs and NPOs promoting various environmental and social causes. You can submit an application here.

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Sample dataset of 1001 Zara products, extracted via Bright Data API, featuring essential data points for pricing optimization, product personalization, and product inventory.

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