Retail Product Listings and Attributes from Asos
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About
A detailed collection of parsed data extracted from the Asos.com retail website. This collection includes information on over 30,845 clothing items, making it an excellent resource for E-commerce analytics within the fashion industry. The structured data is suitable for various applications, including product analysis and advanced text classification tasks.
Columns
- url: The direct link to the specific item page on the website.
- name: The descriptive name given to the product.
- size: A list of sizes available for the item, often formatted according to UK standards (e.g., UK 4, UK 6, etc.).
- category: The primary product category assigned to the item.
- price: The monetary value of the product.
- color: The stated colour of the product.
- SKU: The unique stock keeping unit identifier for the item.
- date: The specific date the web scraping process occurred, which is March 11, 2023, for all records.
- description: Additional details about the item, provided in a JSON format, which includes the product’s brand, composition, and care instructions.
- images: Links to the photographs associated with the item description.
Distribution
The data is delivered in a standard file structure, typically a CSV file (
products_asos.csv) which is approximately 56.32 MB in size. It contains 30,845 records, corresponding to unique clothing items. The structure consists of 9 distinct columns, all accounted for. There are currently no expected future updates to this dataset.Usage
This dataset is ideally suited for:
- Performing E-commerce analytics, specifically within the fashion and clothing sectors.
- Developing and training models for text classification based on product descriptions and names.
- Analysing retail trends, pricing strategies, and product availability.
- Building or refining product recommendation systems.
Coverage
The data covers clothing and fashion items listed on the Asos website. The time range is fixed, capturing product status and details as of March 11, 2023. Given the sizing conventions observed (e.g., UK sizes), the product scope generally reflects the inventory aimed at the UK or European market.
License
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Who Can Use It
- E-commerce Analysts: To study pricing distributions, category popularity, and inventory depth.
- Data Scientists: For training natural language processing (NLP) models using the detailed text descriptions.
- Fashion Researchers: To investigate seasonal trends and product characteristics within a major online retailer.
Dataset Name Suggestions
- Asos Fashion E-commerce Product Data 2023
- Retail Product Listings and Attributes from Asos
- Scraped Asos Clothing Inventory
Attributes
Original Data Source: Retail Product Listings and Attributes from Asos
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