Track pricing, stock, ingredients, and reviews across Sephora, Ulta, Nykaa, SuperDrug, and 48+ beauty retailers — delivered as a clean API or dataset.
Clean, structured, normalized — delivered via API or as downloadable datasets.
Monitor price fluctuations, promotional discounts, and stock changes across 52 beauty retailers. Configure alerts for competitor price moves, MAP violations, and new product launches.
Every product enriched with full ingredient lists, parsed and normalized. Filter by active ingredients, allergens, or certifications across your entire dataset.
Structured review text, star ratings, verified purchase flags, and reviewer metadata — 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 datasets in CSV or JSON format for offline analysis, model training, or data warehouse ingestion.
Three steps. No scraping, no maintenance, no infrastructure.
Create an account, generate your API key from the dashboard, and make your first request within minutes.
Query by brand, category, retailer, price range, ingredient, or update frequency. Get exactly the data you need.
Get structured JSON via API or download CSV datasets. Data refreshed every 24 hours with change detection built in.
"We replaced three separate scraping pipelines with BeautyFeeds. Clean data, reliable refresh cycle, ingredient enrichment is the standout feature."
"Our ML team was spending 40% of its time on data cleaning. BeautyFeeds reduced that to near zero. The normalized schema across retailers is excellent."
"Competitor price monitoring across Sephora, Ulta, and Amazon Beauty — all in one API. We built a dashboard in a week that used to take months."
No credit card required. Get 500 free credits to download up to 500 product records across multiple retailers and see the data quality for yourself.