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Zalando-dataset-samples

A sample dataset of 1001 Zalando products

Zalando dataset header

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

Some of the data points that are included in the Zalando dataset:

  • domain: The domain or category to which the product belongs
  • country_code: The country code associated with the product
  • url: The URL or link to view the full details of the product online
  • sku: The Stock Keeping Unit, a unique identifier for the product
  • condition: The condition of the product
  • gender: The target gender for the product
  • product_name: The name or title of the product
  • brand: The brand of the product
  • description: A detailed description of the product
  • manufacturer: The manufacturer or producer of the product
  • badges: Any special badges or labels associated with the product
  • initial_price: The initial (original) price of the product
  • final_price: The final (discounted) price of the product
  • discount: The discount percentage applied to the product
  • currency: The currency in which the prices are listed
  • inventory: Information about the available inventory of the product
  • is_sale: Indicates if the product is currently on sale

And a lot more.

This is a sample subset which is derived from the "Zalando products" dataset which includes more than 9.7M 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 Zalando dataset.

What are the Zalando datasets use cases?

1. Pricing Optimization

Develop a pricing strategy and implement dynamic pricing models by comparing Zalando products and categories with those of competitors.

2. Product Inventory Optimization

To identify inventory gaps, track increased demand for specific products, and highlight trending items within Zalando's product range.

3. Market Strategy Optimization

Enhance market strategies by analyzing key trends and customer preferences using the Zalando dataset.

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.