Source: amazon.co.uk · Collected: Oct 2021 · Format: JSON
Description
Access a comprehensive dataset of over 240,000 shoe product listings directly from Amazon UK. This dataset is ideal for researchers, e-commerce analysts, and AI developers looking to explore pricing trends, brand performance, product features, or build training data for retail-focused models.
All data is neatly packaged in a downloadable ZIP archive containing files in JSON format, making it easy to integrate with your preferred analytics or database tools.
Price and discount trend analysis
Competitor benchmarking
Product attribute extraction and modeling
AI/ML training datasets (e.g., shoe recommendation systems)
Retail assortment planning
This dataset is available as a static snapshot, but you can request weekly or monthly updates through the Crawl Feeds dashboard. Upon purchase, the data will be bundled and delivered via a direct download link.
Data fields
Pre-built datasets, custom scraping, specialist feeds, and image extraction — all from one team.
Custom scraping for any website — fields, volume, frequency, and format to your spec. Captchas, proxies, and infrastructure fully managed.
Dedicated data platform for beauty brands and analysts. Product listings, reviews, and pricing from Sephora, Ulta, Nykaa, and 50+ retailers — structured and updated regularly.
Bulk image downloads with custom folder structures and updated file paths in your records. Delivered via Google Drive or your dashboard.
No scrapers to build. No proxies to manage. No infrastructure to maintain.
Pre-built datasets download immediately after purchase. Custom projects scoped and delivered in days, not weeks.
Every dataset comes with a free sample download. Verify quality, structure, and field coverage before committing.
Need different fields, more volume, or a different source? We scope and build to your exact specification.
Weekly, monthly, or quarterly refresh. Delta or full-refresh delivery. Keeps your pipeline current without rebuilding.
Live chat support on every order. Enterprise projects get a dedicated account manager, SLA, and NDA options.
Publicly available data only. No IP violation, no ToS grey areas. Clear sourcing framing on every dataset.
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