Reviews Dataset
Over 5 million reviews from Sephora's US storefront, spanning skincare, makeup, and fragrance across hundreds of prestige and indie brands.
Prestige beauty is where recommendation-engine and testimonial-mining use cases show up most — Sephora's Beauty Insider badges, skin_type, and skin_tone fields give recommendation models a genuine demographic dimension that mass-market retailers rarely disclose.
A representative slice of the review shape collected from sephora.com — real fields, illustrative rows.
| Product | Rating | Title | Verified | Review |
|---|---|---|---|---|
| Golden Hour 24HR Skin Tint | 5 | — | No | This product exceeds my expectations. It has a smooth finish and has ample coverage which is so nice. |
| GinZing™ Refreshing Scrub Cleanser | 4 | pretty good ! | No | i have combo skin and this worked great. its exfoliating so it helped with my oily skin but still pretty hydrating. |
| Wink Stamp Long Waterproof Wing Eyeliner | 2 | Mid | Yes | Eh. Stamp didn't look good on me and the eyeliner was fine. |
| Water Drench Hyaluronic Cloud Cream | 3 | Not what I expected | Yes | I expected more but it's not that nourishing for my very dry skin. |
| The Concentrate Serum for Barrier Repair | 4 | Love | No | First impression was velvety, a silky texture when I applied it to my skin. Looking forward to trying more products. |
| Sugar Lip Balm Sunscreen SPF 15 | 5 | The most important item in your make-up bag | No | Looks great on its own and is a fabulous base for lip gloss and lipstick. The spf 15 makes it absolutely indispensable. |
Every sephora.com review is collected as its own record across 36 fields — the same schema used for every retailer BeautyFeeds tracks, so it joins cleanly against reviews from any other site.
review_idproduct_idsku_idsku_nameproduct_urlsite_namecountrylanguageratingtitlereview_textprosconssubmission_timeauthor_idauthor_nameuser_locationis_recommendedis_verified_purchaseis_staffincentivized_reviewhelpful_votesnot_helpful_votestotal_feedback_countskin_typeskin_toneage_rangeskin_concerneye_colorhair_colorbadgesphotosvideosscraped_atuniq_idother_information
Three of the most common ways this specific slice of the dataset gets used — each links to the full use case with a deeper workflow breakdown and field reference.
skin_type, skin_tone, and age_range let you segment a product's reception rather than reading one flat average rating.
A consistent schema across hundreds of prestige brands is a clean feature source for recommendation-engine training.
Verified-purchase testimonials from top-rated SKUs are a ready source of vetted marketing copy for your own listings.
Want to run one of these yourself? Sign in to app.beautyfeeds.io to filter sephora.com reviews and pull a sample before committing to a full export.
On the BeautyFeeds platform, preview the matching sephora.com review count before buying — filter by rating, submission date, verified purchase, and recommended status, then export exactly that slice.
The Sephora reviews dataset contains individual customer reviews collected from sephora.com, including ratings, review titles, full review text, submission dates, verified purchase indicators, reviewer attributes, product IDs, SKUs, and product URLs where available.
BeautyFeeds currently has 5,072,878+ Sephora reviews. The available review count changes as new reviews are collected.
Yes. Reviews can be filtered by dimensions including site, country, rating, submission date, verified purchase status, and recommended status before export.
Yes. Sephora review data can be exported for analysis after filtering the dataset down to the records you need.
When disclosed by the reviewer, the dataset can include skin type, skin tone, age range, skin concern, eye color, and hair color — the same optional fields tracked across every retailer BeautyFeeds covers.
Review & Sentiment Analysis, ML & AI Model Training, and Catalog Enrichment are the most common uses teams put this dataset to — see the breakdown below for how each works in practice.
Yes. The dataset can be filtered by rating, date range, verified purchase status, or other fields before export, so you're not limited to downloading the full 5,072,878-review collection.
BeautyFeeds tracks Sephora reviews separately by storefront, currently covering US and UK — see Sephora's other storefronts below.
Reviews from sephora.com are one slice of the full BeautyFeeds reviews dataset.
Filter, preview the matching count, and download or connect via API on the BeautyFeeds platform.