Dior Datasets

The Dior dataset includes all major data points: product name, description, country, currency, in stock, size, color, category URL, category name, URL, SKU, image URLs, and more. Subsets are available by categories and specific data points.

Yes, you can get updates to your Dior dataset on a daily, weekly, monthly, or custom basis.

Yes, you can purchase a Dior subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.

Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.

If you don’t want to purchase a dataset, you can start scraping Dior data using our web scraping API.

Yes, you can request sample data to evaluate the quality and relevance of the information provided. This is a great way to ensure it meets your needs before committing to a full dataset.

Yes, you can request specific data points from the Dior dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.

Absolutely, the Dior dataset offers seamless API integration, allowing you to effortlessly integrate the data into your CRM, analytics tools, or any other systems you use, streamlining your operations.

The Dior dataset offers a comprehensive collection of data regarding products offered by the renowned Dior brand. It includes essential attributes such as product name, description, and seller information, enabling businesses and analysts to gain insights into the luxury offerings from Dior. The dataset captures pricing information with attributes such as initial price, final price, and currency, allowing businesses to analyze pricing trends and evaluate the pricing strategies employed by Dior. Additionally, the availability status, indicated by the “in_stock” attribute, provides valuable information for inventory management and customer service purposes.