H&M-dataset-sample

A sample dataset of 1001 H&M products

A H&M 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 H&M products dataset:

• category_tree: The hierarchy of categories to which the product belongs
• color: The color of the product
• country_code: Country code indicating the location or availability of the product
• county_of_origin: The country of origin for the product
• currency: The currency in which the product price is listed
• delivery: Information about product delivery
• description: A detailed description of the product
• domain: The domain or website where the product is listed
• features: Features or characteristics of the product
• final_price: The current price of the product
• image_count: The total number of images associated with the product
• image_urls: URLs pointing to images of the product
• in_stock: Indicates whether the product is currently in stock
• initial_price: The original or initial price of the product
• main_image: URL or identifier of the main image associated with the product
• manufacturer: The manufacturer of the product
• offers: Information about different offers or packages for the product
• people_bought_together: Products that are commonly bought together with the current product
• product_name: The name or title of the product
• reviews_count: The total number of customer reviews for the product
• related_products: Other products related to the current one
• seller_name: The name of the seller offering the product
• size: The size of the product
• top_reviews: Highlights or top customer reviews for the product

And a lot more.

This is a sample subset which is derived from the "H&M products" dataset which includes more than 4.1M 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 enricH&Ment available as an addition to the data points extracted: Based on request.

Get the full H&M products dataset.

What are the H&M products datasets use cases?

1. Pricing Optimization

Develop a pricing strategy and create dynamic pricing models by analyzing comparable H&M products and categories against competitors.

2. Product Inventory

Identify inventory shortages of H&M products, detect increasing demand for specific items, and uncover emerging trends among consumers.

3. Market Strategy

Leverage the H&M dataset to perform market strategy analysis, identifying key trends and consumer preferences.

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