Reviews Dataset
57K+ beauty and personal care reviews collected from Amazon.com listings, covering mass-market skincare and haircare brands.
Amazon's catalog breadth spans mass-market brands that rarely show up on prestige retailer sites, which makes it a useful cross-check: a mass-market drugstore dupe and its prestige counterpart can be compared side by side using the same schema.
A representative slice of the review shape collected from amazon.com — real fields, illustrative rows.
| Product | Rating | Title | Verified | Review |
|---|---|---|---|---|
| CeraVe, Hydrating Facial Cleanser | 5 | Dermatologist recommended for a reason | Yes | Gentle enough for my sensitive skin and doesn't strip my face at all. |
| The Ordinary, Hyaluronic Acid 2% + B5 | 4 | Solid basic hydrator | Yes | Layers well under other products, wish the bottle lasted a bit longer. |
| OGX, Coconut Miracle Oil Shampoo | 3 | Smells amazing, mixed results | No | Love the scent but didn't notice much difference in my hair's dryness. |
| Neutrogena, Ultra Sheer Sunscreen SPF 100 | 5 | No white cast, finally | Yes | Been searching for years for one that doesn't leave a cast on darker skin. This is it. |
| e.l.f. Cosmetics, Halo Glow Liquid Filter | 5 | Better than the prestige version | Yes | Tried the expensive version at Sephora first, this does the exact same thing for a fraction of the price. |
| Maybelline, Sky High Mascara | 2 | Flaked by midday | Yes | Great length at first application but it flaked under my eyes by the afternoon. |
Every amazon.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.
Mass-market brand coverage broadens a training set beyond the prestige-skewed catalogs of Sephora-style retailers.
Cross-check a mass-market SKU's Amazon reception against its listing on your own marketplace or storefront.
Benchmark drugstore-tier pricing and sentiment against prestige equivalents in the same product category.
Want to run one of these yourself? Sign in to app.beautyfeeds.io to filter amazon.com reviews and pull a sample before committing to a full export.
On the BeautyFeeds platform, preview the matching amazon.com review count before buying — filter by rating, submission date, verified purchase, and recommended status, then export exactly that slice.
The Amazon reviews dataset contains individual customer reviews collected from amazon.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 57,818+ Amazon 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. Amazon 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.
ML & AI Model Training, Catalog Enrichment, and Market Research & Trend Analysis are the most common uses teams put this dataset to — see the breakdown below for how each works in practice.
Reviews from amazon.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.