Gap Fashion Products Dataset (9,000 Records, CSV)
gap.com · CSV
The Gap Fashion Products Dataset provides a comprehensive collection of 9,000+ fashion items from Gap Inc., covering a diverse range of men’s, women’s, and kids’ clothing. This dataset is designed for machine learning, trend analysis, recommendation systems, and e-commerce analytics.
The data is structured in CSV format, making it easily accessible for data science and research projects.
Use CasesThis dataset can be used for:
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🧠 Machine Learning: Train product recommendation engines.
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🎨 Fashion Analytics: Explore color and trend distributions.
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💰 Pricing Strategy: Analyze discounts and pricing patterns.
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🔍 NLP Projects: Product name classification and tagging.
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🛍️ E-commerce Simulations: Build mock product catalogs or dashboards.
Fields
url, name, pid, brand, price, original_price, currency, condition, availability, color, skus, product_details, avg_rating, reviews_count, category_1, category_2, images, breadcrumbs, uniq_id, scraped_at