ASOS-dataset-sample

A sample dataset of 1001 ASOS products

A ASOS 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 ASOS products dataset:

• url: Link to the product on Asos
• name: The name of the product
• brand: The brand associated with the product
• description: Textual details describing the product
• about_me: Additional information or details about the product
• availability: Indicates whether the product is currently available
• buy_the_look: Information about purchasing the entire look
• category: The category to which the product belongs
• discount: The discount applied to the product
• image: Links to images of the product
• look_after_me: Instructions or details about caring for the product
• possible_sizes: Available sizes for the product
• price: The cost of the product
• product_details: Additional details about the product
• size_fit: Information about the size and fit of the product
• you_might_also_like: Suggestions for other products the user might like
• product_id: Unique identifier for each product
• breadcrumbs: Hierarchical representation of the product
• currency: The currency in which the price is denominated
• color: The color or color options available for the product

And a lot more.

This is a sample subset which is derived from the "ASOS products" dataset which includes more than 2.6M 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 ASOS products dataset.

What are the ASOS products datasets use cases?

1. Pricing Optimization

Develop dynamic pricing strategies by analyzing comparable fashion items and categories within the ASOS dataset to uncover competitive pricing opportunities.

2. Product Inventory

Identify inventory shortages and detect growing demand for specific fashion items, uncovering trends that appeal to consumers using the ASOS dataset.

3. Market Strategy

Leverage the ASOS dataset to analyze market trends and consumer preferences, driving more informed strategic decisions in the fashion industry.

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