Fashion Sources We Cover

We collect product data from 15+ leading global fashion retailers across luxury, fast fashion, sportswear, and marketplace categories.

ZARA
Fast fashion Β· US & UK
Nike
Sportswear & athleisure
H&M
Fast fashion Β· global
ASOS
Global marketplace
Farfetch
Luxury fashion
Burberry
Luxury Β· US & UK
Gap
Apparel Β· US
SSENSE
Luxury & contemporary
Mango
Fast fashion
Otto
German marketplace
Forever 21
Fast fashion
Myntra
South Asian fashion
Flipkart
Fashion category
Revolve
Contemporary fashion
Net-a-Porter
Luxury fashion

Browse Fashion Data by Category

Not sure which dataset you need? Browse by fashion segment.

What's in Our Fashion Datasets

Across our fashion datasets you'll typically find the fields below. Field availability varies by source β€” check individual dataset pages for exact field lists.

product_name
sku / product_id
brand
price (sale)
original_price
discount_pct
currency
availability
sizes
color / colorway
category
subcategory
breadcrumbs
product_description
material_composition
images
avg_rating
reviews_count
url
scraped_at

Who Uses Fashion Datasets

From brands to ML teams β€” structured fashion data serves multiple buyer types with different goals.

🏷️
Retailers & Brands
  • βœ“Competitor pricing intelligence
  • βœ“Assortment gap analysis
  • βœ“New market entry research
  • βœ“Category benchmarking
πŸ€–
Data Scientists & ML Teams
  • βœ“Training recommendation engines
  • βœ“Image classification models
  • βœ“Attribute extraction from descriptions
  • βœ“Price prediction modelling
πŸ“Š
Market Research Firms
  • βœ“Trend analysis across segments
  • βœ“Category coverage benchmarking
  • βœ“Brand positioning studies
  • βœ“Consumer preference mapping
πŸ›οΈ
E-commerce Platforms
  • βœ“Catalogue enrichment
  • βœ“Product matching & deduplication
  • βœ“Search ranking optimisation
  • βœ“Pricing rule calibration

Why Use a Fashion Dataset from CrawlFeeds

Ready-to-use data that saves you weeks of scraping, cleaning, and infrastructure work.

Trend Forecasting

Use historical product, pricing, and availability data to identify patterns and predict which categories, colours, and styles will perform β€” before your competitors act.

Pricing Intelligence

Monitor real-time and historical pricing across ZARA, H&M, ASOS, and competitors. Identify discount patterns, seasonal pricing shifts, and margin opportunities.

Recommendation Engine Training

Structured product attributes β€” category, colour, brand, price, material β€” are exactly the signals recommendation models need. Feed clean data directly into your pipeline.

Catalogue Enrichment

Supplement your own product catalogue with competitor descriptions, images, and attributes to improve search ranking and product discoverability.

Supply Chain Optimisation

Analyse stock availability patterns across retailers to better predict demand, reduce overproduction, and avoid stockouts in key categories.

Market Expansion Research

Understand category coverage, price positioning, and brand mix in new markets before entering β€” with data from Myntra, Otto, Revolve, and other regional leaders.

Top Fashion Datasets

ZARA US retail products dataset

14,000 records Β· 8061 views

High-Quality Fashion Image Dataset

111,048 records Β· 5477 views

Farfetch fashion retail products dataset

18,000 records Β· 2163 views

ZARA UK Fashion dataset

10,000 records Β· 2064 views

Browse Fashion Datasets in the Data Catalog

Ready-to-download fashion product datasets from leading global retailers β€” free samples on every dataset.

FAQ β€” Fashion Dataset

A fashion dataset is a collection of structured product data β€” including names, prices, categories, images, availability, and descriptions β€” sourced from fashion retailers. Businesses use fashion datasets for pricing intelligence, trend forecasting, recommendation engine training, catalogue enrichment, and competitor analysis.

Yes β€” we have datasets from Burberry (US and UK), Farfetch, SSENSE, and Net-a-Porter. Browse our luxury fashion datasets in the data catalog or contact us for a custom luxury brand dataset with specific fields or record counts.

Yes β€” our Fashion Products Image Dataset contains 111,000+ product images. Individual fashion datasets also include image URLs per product record, which can be used to bulk-download images via our ImageHub service.

Yes β€” we have product and category data from Myntra and Flipkart's fashion category. Contact us for current availability, record counts, and to request a fresh crawl if needed.

CSV or JSON, delivered instantly via secure download link after purchase. Free samples are available on every dataset before you commit to buying. Parquet format available on request for large-scale datasets.

Yes β€” contact us to set up a recurring delivery for any fashion source. This is useful for price monitoring, new arrivals tracking, inventory benchmarking, and keeping recommendation models current.

Our team collects data from fashion retailer websites on a scheduled basis. You receive a clean, structured snapshot in CSV or JSON format. For recurring projects we can set weekly, monthly, or quarterly refresh cycles.

Yes β€” historical product, pricing, and availability data from multiple retailers can be used to identify category patterns and seasonal shifts. Combined with review data, it can highlight which attributes correlate with strong sales performance.

By analysing stock availability patterns across retailers over time, you can better predict demand in key categories, reduce overproduction risk, and identify supplier lead-time benchmarks based on new-arrivals data.

Yes β€” structured product attributes (colour, material, category, price tier) combined with review sentiment data are the core inputs for recommendation engines and personalisation models. Our datasets are formatted to be pipeline-ready.

Ready to Get Your Fashion Dataset?

Browse pre-crawled fashion datasets from ZARA, Burberry, ASOS, Farfetch, and more β€” or request a custom scrape to your exact specification.