Products dataset from Adidas
adidas.com · CSV
Looking for a rich Adidas products dataset with verified fashion and sportswear product data in CSV format? This Adidas fashion products dataset includes ~10,000 product records from the official Adidas store covering apparel, footwear, accessories, colors, prices, ratings, availability and more. It’s ideal for e-commerce analytics, price tracking, product trend analysis, fashion market research, and machine-learning projects.
This dataset provides a complete snapshot of Adidas items, giving you the ability to analyze what’s trending, track product popularity, and feed structured data into your models or dashboards. You can also request dataset customization such as adding fields or exporting in other formats.
- url
- name
- brand
- price
- currency
- availability
- sku
- color
- description
- avg_rating
- reviews_count
- category_1
- category_2
- images
- uniq_id
- scraped_at
- E-commerce product analysis — track pricing, availability, and item variations.
- Market research — monitor trends across categories like clothing, shoes,and accessories.
- Data science & ML use — use structured data for recommendation engines, clustering, or product classification.
- Retail or fashion reporting — generate insights on product popularity or seasonal trends.
- Avoid manual scraping — saves 100+ hours vs building and maintaining scrapers.
- Total Records: ~10,000 verified Adidas products.
- Format: CSV — ready to use in analytics tools and workflows.
- Price: USD $135.0
- Delivery: Instant download after purchase.
- Free Sample: Preview before buying.
- E-commerce analysts track product performance and fashion trends.
- Data scientists building models for forecasting, clustering, or personalization.
- Retail teams need structured product info for inventory or pricing strategy.
- Developers building shopping apps or dashboards based on real product metadata.
- Students and researchers working on consumer behavior or fashion tech projects.
Fields
url, name, brand, price, currency, availability, sku, color, description, avg_rating, reviews_count, category_1, category_2, images, uniq_id, scraped_at