Guide
Sephora reviews dataset and stats
Customer reviews and product-level stats from Sephora product URLs — ratings, text, helpful votes, recommendation counts, and star distribution.
This page documents what Wibuild delivers for buyers. It is not a self-serve runner.
What you provide
Sephora product URLs and max reviews per product (or all available within agreed limits).
What you get
One row per review with product stats attached, ready for beauty VOC and campaign measurement.
- Product ID and product name
- Review title and text
- Star rating
- Submission date
- Helpful / not-helpful votes
- Reviewer nickname and location when shown
- Incentivized / staff context flags when present
- Product average rating and total review count
- Recommended vs not-recommended counts
- Star-bucket counts (1–5)
Typical use cases
- Beauty brand VOC and shade/variant feedback
- Sentiment on formula or packaging changes
- Campaign and launch review-volume tracking
Delivery
CSV or JSON for a pilot. Scheduled file or feed once fields are approved. You pay Wibuild — we handle extraction, cleaning, and delivery.
FAQ
What do I send as input?
A normal Sephora product page URL (with or without skuId). We confirm the SKU scope on the sample if you need a specific shade.
Can you pull every review?
Yes within practical limits — or cap at a max_reviews number for pilots and cost control.
Request a sephora reviews dataset quote
Tell us the source and format. We reply with scope, sample timing, and a quote.