8,000+ Sephora US product records in a single CSV, scraped from Sephora.com in 2026. Every row is a product SKU. Every column is immediately useful.
What you get
10 fields per product, flat structure, no nested data. Open the file and start working - no cleanup or post-processing required.
Identity: each record has a unique Sephora product ID and SKU-level ID. Brand name and product display name are included as text fields, exactly as they appear on Sephora.com.
Pricing: USD list price as a numeric value, ready for arithmetic without parsing.
Social proof: average customer star rating and total review count per product. These two fields together give a reliable signal of popularity and product quality across Sephora’s catalog.
Product URL: direct link to the product page on Sephora.com for every record.
Image URL: the main product image URL for building visual displays, product cards, or training image models.
Category path: the full category hierarchy for each product - for example, Skincare > Moisturizers > Face Moisturizers. Use this to filter by category, build category-level analytics, or train classification models.
Who uses this
E-commerce sellers and affiliate marketers tracking Sephora’s US assortment and pricing for comparison or affiliate link building.
Beauty market researchers analysing brand distribution, price positioning, and rating patterns across Sephora’s catalog.
Data analysts and developers building beauty product recommendation engines, price monitors, or category-level trend dashboards.
Pricing intelligence teams monitoring Sephora’s list prices across brands and categories.
Dataset specs
| Field | Value |
|---|---|
| Total products | 8,000+ |
| Columns per row | 10 |
| Format | CSV |
| File size | 10 MB |
| Market | United States |
| Marketplace | Sephora US |
| Price | USD 99, one-time payment |