Reviews Dataset
4.7 million+ reviews from Ulta Beauty, the largest US multi-brand specialty retailer in the dataset — spanning color cosmetics, skincare, haircare, and nail care in one feed.
Ulta's catalog breadth (drugstore and prestige brands side by side, across makeup, skincare, hair, and nails) makes it the widest single-retailer cross-category source in the dataset — useful for comparing how the same brand or price tier is received across completely different product types rather than one category alone.
A representative slice of the review shape collected from ulta.com — real fields, illustrative rows.
| Product | Rating | Title | Verified | Review |
|---|---|---|---|---|
| Holy Hydration Makeup Melting Cleansing Balm | 5 | Light | No | Removes makes easily and leaves skin feeling soft & hydrated! Does not leave a greasy feeling like other makeup removing balms. |
| Even Better Clinical Serum Foundation Broad Spectrum SPF 25 | 4 | SPF 25 | No | I really like it how it worked well on my skin I would definitely buy it |
| Hydra Source Shampoo Dry Hair | 5 | Wonderful for AZ weather | No | I am in the pool a lot! And in the sun! This shampoo keeps my hair soft and moisturized. I rarely need conditioner. |
| Powermatte Long Lasting Lipstick | 3 | Overpriced | No | I bought this in American woman and I keep going back and forth on whether to return it because its completely average… It is off my lips in an hour, its chalky so you must use lip gloss and its so expensive you get angry when you look in the mirror and only my lipliner is still on. |
| Icon Premium Medium Almond Press On Nails Terrific | 5 | 5/5 Stars | No | I was super happy with these nails! Not only are they super cute but they're great quality. With proper prep these nails stayed on for 8 days with no chipping or breaking. |
| Regenerist Retinol24 Max Night Hydrating Moisturizer | 4 | Can really feel the difference! | No | I have used a moisturizer with collagen before and wanted to see how this would stand up against it. I am happy to say that this moisturizer felt really nice on my skin and I could feel the effects quickly after using it. |
Every ulta.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.
Compare reception across color cosmetics, skincare, hair, and nails in one retailer to see which categories are driving review volume.
Multi-category, multi-brand coverage at nearly 5M reviews is enough volume and diversity for a general-purpose beauty recommendation model.
Cross-check a SKU's Ulta reception against its listing on your own storefront across whichever category it falls into.
Want to run one of these yourself? Sign in to app.beautyfeeds.io to filter ulta.com reviews and pull a sample before committing to a full export.
On the BeautyFeeds platform, preview the matching ulta.com review count before buying — filter by rating, submission date, verified purchase, and recommended status, then export exactly that slice.
The Ulta Beauty reviews dataset contains individual customer reviews collected from ulta.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 4,709,658+ Ulta Beauty 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. Ulta Beauty 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.
Market Research & Trend 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 4,709,658-review collection.
Reviews from ulta.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.