Uniqlo fashion dataset

Description

Explore a comprehensive fashion product data dataset, comprising 2,257 records meticulously collected from uniqlo.com. Each entry offers rich detail, including product_url, product_name, sku, multi-level category data, color, size, material, description, price, and links to primary_image_url and additional_images. This data is invaluable for market analysis, competitive intelligence, and identifying emerging fashion trends across different regions and languages. Uncover insights into pricing strategies, analyze customer sentiment through rating and review_count data, and optimize product availability and color options based on demand. Ready for immediate integration, this structured dataset provides a granular view into a leading global fashion retailer's product offerings for robust e-commerce and research initiatives.

Highlights

  • Contains 2,257 product records from a major fashion retailer.

  • Covers diverse products across various categories and global regions.

  • Includes recent product data with precise import timestamps.

  • Rich product details, including customer reviews and material data.

Sample Data

Preview of available data:

Sku Size Brand Color Price Rating Country Reviews Version Currency Language Material Category 1 Category 2 Category 3 Production Breadcrumbs Description Product Url Return Days Imported At Availability Product Name Review Count Color Options Return Country Available Sizes Section Details Additional Images Material And Care Primary Image Url
E449753-000 S UNIQLO OFF WHITE 49.9 4.8 au [] 1780235340602 AUD en Body: Pocket Lining: 100% P... WOMEN Outerwear Jackets Production Information Coun... [{"name": "UNIQLO", "link":... - Washable for easy care. S... https://www.uniqlo.com/au/e... 30 2026-05-31 13:49:00 OutOfStock Fluffy Yarn Fleece Full-Zip... 1021 [{"name": "OFF WHITE", "cod... AU [] - Washable for easy care. -... ["https://image.uniqlo.com/... Fabric details Body: Pocket... https://image.uniqlo.com/UQ...
E452298-000 M UNIQLO YELLOW 49.9 \N au [] 1780235340602 AUD en 100% Cotton MEN Shirts & Polos Casual Shirts \N [{"name": "UNIQLO", "link":... - Basic fit and details bas... https://www.uniqlo.com/au/e... 30 2026-05-31 13:49:00 InStock Oxford Long Sleeve Shirt (R... \N [{"name": "YELLOW", "code":... AU [{"name": "XS", "availabili... - Basic fit and details bas... ["https://image.uniqlo.com/... Fabric details 100% Cotton ... https://image.uniqlo.com/UQ...
E454780-000 XS UNIQLO BEIGE 29.9 4.7 au [] 1780235340602 AUD en Body: 66% Cotton, 32% Polye... MEN Loungewear Lounge Pants Production Information Coun... [{"name": "UNIQLO", "link":... - Comfortable, stretchy twi... https://www.uniqlo.com/au/e... 30 2026-05-31 13:49:00 OutOfStock Stretch Easy Shorts 157 [{"name": "BEIGE", "code": ... AU [] - Comfortable, stretchy twi... ["https://image.uniqlo.com/... Fabric details Body: 66% Co... https://image.uniqlo.com/UQ...
E456592-000 M UNIQLO WHITE 59.9 4.8 au [] 1780235340602 AUD en 100% Cotton MEN Shirts & Polos Dress Shirts Production Information Coun... [{"name": "UNIQLO", "link":... Specially processed for a... https://www.uniqlo.com/au/e... 30 2026-05-31 13:49:00 OutOfStock Super Non Iron Slim Fit Shi... 200 [{"name": "WHITE", "code": ... AU [] Product ID: 482343,477995,4... ["https://image.uniqlo.com/... Fabric details 100% Cotton ... https://image.uniqlo.com/UQ...
E457912-000 S UNIQLO LIGHT BLUE 19.9 4.7 au [] 1780235340602 AUD en 65% Nylon, 25% Cupro, 10% E... WOMEN Innerwear & Underwear AIRism Production Information Coun... [{"name": "UNIQLO", "link":... Smooth fabric with DRY te... https://www.uniqlo.com/au/e... 30 2026-05-31 13:49:00 OutOfStock AIRism Sleeveless Top 146 [{"name": "LIGHT BLUE", "co... AU [] - Clothing using recycled m... ["https://image.uniqlo.com/... Fabric details 65% Nylon, 2... https://image.uniqlo.com/UQ...
E457949-000 S UNIQLO LIGHT GRAY 24.9 4.6 au [] 1780235340602 AUD en 38% Polyester, 30% Acrylic,... WOMEN Innerwear & Underwear HEATTECH Production Information Coun... [{"name": "UNIQLO", "link":... - Lightweight yet warm than... https://www.uniqlo.com/au/e... 30 2026-05-31 13:49:00 OutOfStock HEATTECH Scoop Neck Long Sl... 213 [{"name": "LIGHT GRAY", "co... AU [] - Lightweight yet warm than... ["https://image.uniqlo.com/... Fabric details 38% Polyeste... https://image.uniqlo.com/UQ...
E458788-000 Age7-8(130) UNIQLO BLACK 19.9 4.2 au [] 1780235340602 AUD en 35% Acrylic, 30% Polyester,... KIDS Innerwear & Underwear HEATTECH Production Information Coun... [{"name": "UNIQLO", "link":... - Contouring fabric with a ... https://www.uniqlo.com/au/e... 30 2026-05-31 13:49:00 OutOfStock HEATTECH Leggings 25 [{"name": "BLACK", "code": ... AU [] - Contouring fabric with a ... ["https://image.uniqlo.com/... Fabric details 35% Acrylic,... https://image.uniqlo.com/UQ...
E465185-000 S UNIQLO GRAY 24.9 4.8 au [] 1780235340602 AUD en 53% Cotton, 47% Polyester (... MEN T-Shirts & Sweats T-Shirts Production Information Coun... [{"name": "UNIQLO", "link":... - The fabric makes for a cl... https://www.uniqlo.com/au/e... 30 2026-05-31 13:49:00 OutOfStock Uniqlo U AIRism Cotton Over... 5278 [{"name": "GRAY", "code": "... AU [] - The fabric makes for a cl... ["https://image.uniqlo.com/... Fabric details 53% Cotton, ... https://image.uniqlo.com/UQ...
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Data Fields

This dataset includes the following data points:

Product Url
Country
Language
Product Name
Sku
Brand
Category 1
Category 2
Category 3
Color
Size
Material
Description
Price
Currency
Availability
Return Days
Return Country
Rating
Review Count
Breadcrumbs
Primary Image Url
Additional Images
Section Details
Material And Care
Production
Color Options
Available Sizes
Reviews
Version
Imported At

Why This Data

This fashion dataset from Uniqlo provides comprehensive market intelligence and competitive insights. Perfect for:

  • Market Research: Understand market trends and customer preferences
  • Competitive Analysis: Compare pricing, products, and strategies
  • Business Intelligence: Make data-driven decisions
  • Price Monitoring: Track price changes and optimize your pricing

Use Cases

This dataset is perfect for various applications:

E-commerce Competitive Pricing Analysis: A market analyst will leverage product Price, Currency, Country, and Return Days to compare Uniqlo's pricing strategies and return policies across global markets, identifying competitive advantages or areas for adjustment.

Consumer Sentiment and Product Insights: A brand strategist will analyze Reviews, Rating, and Review Count for specific Product Names, Category 1s, and Materials to identify consumer preferences, pain points, and emerging sentiment trends for product improvement.

AI-Powered Product Recommendation Engine Training: A data scientist will use Product Name, Category 1, Color, Size, Material, Description, Reviews, and Primary Image Url to train a recommendation engine that suggests personalized product choices to online shoppers.

SEO Content Strategy and Keyword Discovery: An SEO specialist will extract high-value keywords from Product Name, Description, Breadcrumbs, and Reviews to optimize product page content, inform blog posts, and identify opportunities for long-tail search visibility.

Product Development and Fashion Trend Forecasting: A product manager will analyze popular Materials, Color Options, Available Sizes, and Category 1s combined with high Rating and Review Count to inform future product design decisions and predict upcoming fashion trends.

Global Inventory and Supply Chain Optimization: An operations manager will leverage Availability, Country, Return Days, and Return Country data to optimize inventory allocation, identify regional supply chain efficiencies, and strategically manage reverse logistics across different markets.

Get Access to This Dataset

Start using this dataset today. Available in CSV, JSON, and Excel formats with flexible access options.

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Frequently Asked Questions

This dataset provides comprehensive product information including `product_url`, `product_name`, `sku`, `brand`, and up to three categories (`category_1`, `category_2`, `category_3`). It also details `color`, `size`, `material`, `description`, `price`, `currency`, and `availability`. Additional rich data points cover `return_days`, `rating`, `review_count`, `primary_image_url`, `additional_images`, `section_details`, `material_and_care`, `production`, `color_options`, `available_sizes`, and `reviews`.

The provided context does not explicitly state a precise update frequency for this dataset. However, datasets of this nature are typically refreshed regularly to maintain data freshness and reflect current product offerings on the source site. Data quality is generally assured through consistent collection processes directly from the uniqlo.com domain, focusing on capturing the most current product details and preventing staleness.

The context does not explicitly detail the specific file formats or delivery options for this dataset. Commonly, data providers offer standard formats such as CSV, JSON, or XML, which facilitate easy integration into various systems. Delivery methods often include API access, secure cloud storage downloads, or direct file transfers, allowing users to integrate the data via custom scripts or existing data analytics platforms.

This dataset is highly beneficial for market researchers, e-commerce analysts, AI/ML developers, and competitive intelligence teams in the fashion industry. Users can leverage data points like `price`, `rating`, `review_count`, `category`, and `material` to analyze product trends, competitive pricing strategies, and customer sentiment across different markets (`country`, `language`). Specific applications include building recommendation engines, optimizing supply chains, and performing in-depth product performance analysis.

While the context does not explicitly mention customization options, data providers often allow tailoring collection parameters such as specific `country` locales, `language` preferences, or particular product categories. The data is systematically gathered directly from the uniqlo.com website, capturing publicly available product details including images and textual information. Quality assurance typically involves automated validation checks for data completeness, consistency, and accuracy, ensuring key fields like `sku`, `price`, and `availability` are correctly represented.