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Shein Products

E-commerce & Online Transactions

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Fashion

E-commerce

Shein

Product-dataset

Reviews

Pricing

Inventory

Trend analysis

Fast fashion

Retail

Online shopping

ML training

Recommendation systems

Consumer insights

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Shein Products Dataset on Opendatabay data marketplace

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£190

About

Explore a diverse range of fashion items, home goods, and more, with insights into pricing, availability, ratings, and reviews. Popular use cases include trend forecasting, pricing optimization, and inventory management in the fast-fashion market.
The Shein.com Products dataset provides a detailed overview of the extensive product range available on Shein, offering key insights into the fast-fashion market. This dataset includes essential details such as product names, prices, discounts, descriptions, materials, product images, SKUs (Stock Keeping Units), low-stock indicators, and more.
Ideal for eCommerce professionals, fashion analysts, and market strategists, this dataset supports trend analysis, pricing strategies, and inventory management. Whether you're benchmarking competitors, identifying emerging trends, or optimizing your product offerings, the Shein.com Products dataset delivers valuable insights to stay ahead in the dynamic fashion industry.

Dataset Features

  • product_name: The name/title of the product listed.
  • description: A brief description of the product, including features or materials.
  • initial_price: The original price of the product before any discounts.
  • final_price: The actual selling price after applying discounts.
  • currency: The currency in which the price is listed (e.g., USD).
  • in_stock: Availability status of the product (True if in stock, otherwise False).
  • color: Available color(s) for the product.
  • size: Size(s) available (e.g., S, M, L, or custom sizes).
  • reviews_count: Number of user reviews the product has received.
  • main_image: URL to the primary product image.
  • category_url: Link to the category page the product belongs to.
  • url: Direct link to the product page.
  • category_tree: Hierarchical path of the product category.
  • country_code: Country code indicating where the product is available.
  • domain: The Shein domain where the product was found (e.g., shein.com, shein.uk).
  • image_count: Total number of product images.
  • image_urls: List/array of URLs for all images related to the product.
  • model_number: The product’s model or SKU number.
  • offers: Details of promotions or discounts available.
  • other_attributes: Miscellaneous product features or labels (e.g., eco-friendly, plus-size).
  • product_id: Unique identifier for the product.
  • rating: Average user rating (typically on a 5-star scale).
  • related_products: List of similar or related products.
  • root_category: The broadest category classification (e.g., "Women", "Home").
  • top_reviews: Highlighted customer reviews.
  • category: Specific product category (e.g., "Bikinis", "T-Shirts").
  • brand: Brand name (often "Shein" or sub-brands).
  • all_available_sizes: List of all size options for the product.
  • category_details: Additional metadata about the product category.
  • initial_price_usd: Original price converted to USD.
  • final_price_usd: Final price converted to USD.
  • discount_price: Price discount amount (initial - final).
  • discount_price_usd: Discount amount in USD.
  • colors: All color variants of the product.
  • store_details: Information about the store or seller.
  • shipping_details: Information about shipping costs and delivery time.
  • shipping_type: Type of shipping offered (e.g., standard, express).
  • product_parent_id: ID representing a grouped product variant.
  • tags: Keywords or tags associated with the product.
  • model_data: Additional attributes from the product model (could include fit, cut, etc.).

Distribution

  • Data Volume: 40 Columns and 42.35 M Rows
  • Format: CSV

Usage

This dataset is ideal for a wide range of practical and analytical applications:
  • Trend Forecasting: Identify emerging fashion trends based on product popularity and review sentiment.
  • Pricing Optimization: Analyze discount strategies and dynamic pricing patterns.
  • Inventory Management: Monitor stock availability and detect low-stock patterns.
  • Recommendation Systems: Build personalized fashion recommendations using product attributes and user ratings.
  • Market Benchmarking: Compare Shein's offerings with competitors or across regions.
  • Computer Vision: Use product images for training models in visual fashion recognition.

Coverage

  • Geographic Coverage: Global
  • Time Range: Varies by data collection; generally recent and can be updated periodically.

License

CUSTOM
Please review the respective licenses below:
  1. Data Provider's License

Who Can Use It

  • Data Scientists: For training ML models like price predictors, review sentiment classifiers, or image-based search engines.
  • Researchers: To study fast fashion, consumer behavior, or global eCommerce trends.
  • Businesses: For competitive analysis, dynamic pricing, or trend-based product design.
  • Retail Analysts: To monitor category performance and stock insights.

Dataset Name Suggestions

  1. Shein Fashion & Lifestyle Product Dataset
  2. Shein.com Global eCommerce Dataset
  3. Fast-Fashion Insights from Shein
  4. Shein Product Listings with Pricing & Reviews
  5. Shein eCommerce Intelligence Dataset

Pricing

Based on Delivery frequency
~Up to $0.0025 per record. Min order $250 Get the complete dataset each delivery, including all records. Retrieve only the data you need with the flexibility to set Smart Updates.
  • Monthly
New snapshot each month, 12 snapshots/year Paid monthly
  • Quarterly
New snapshot each quarter, 4 snapshots/year Paid quarterly
  • Bi-annual
New snapshot every 6 months, 2 snapshots/year Paid twice-a-year
  • One-time purchase
New snapshot one-time delivery Paid once

Dataset Information

VIEWS

13

DOWNLOADS

0

LICENSE

CC0

REGION

GLOBAL

UDQSSQUALITY

5 / 5

VERSION

1.0