Features
From retail monitoring to model training pipelines, BeautyFeeds provides complete normalized beauty intelligence.
Clean, structured, normalized โ delivered via API or as downloadable datasets.
Every price and stock check is stored as a timestamped snapshot, giving you a complete historical trail per product to catch discounts, markdowns, and price increases. Refreshed monthly by default, with weekly or daily refresh available on request.
Track competitor product URLs and detect listing changes, price shifts, and stock updates for continuous market visibility.
Raw scraped ingredient text normalized toward INCI-standard naming, consistent across every retailer in the feed.
Paste an ingredient list inside the customer portal to find catalog products with a similar formulation, plus catalog frequency and EU/US regulatory flags per ingredient.
Structured review text, star ratings, verified purchase flags, and reviewer metadata โ ready for sentiment analysis and NLP model training.
High-uptime endpoints with filters for brand, category, retailer, price range, and update frequency. Integrate in minutes.
Download structured sample datasets in CSV or JSON format for offline analysis, model training, or data warehouse ingestion.
Sephora, Ulta, Nykaa, SuperDrug, and 48+ more โ normalized to one consistent schema across the US, UK, India, and EU.
Narrow the full feed by site, category, price, SKU, or update window right from your dashboard, preview a sample, then export the exact match as XLSX.
See what's changed recently โ records updated in the last 24 hours, 7 days, or 30 days, broken down by brand and retailer. Matches your refresh schedule: monthly by default, weekly or daily on request.
Browse free sample datasets or see what plan fits your data needs.