Last year's reviews in a category
Reviews from the past year for the first products of the foundation category, newest first.
Updated October 22, 2026
What this example returns
The dataset’s “Reviews” view shows 12 columns: Product, Stars, Title, Review, Reviewer, Location, Date, Verified buyer, Recommends, Helpful, Source, and Product URL. See every output field.
What each setting does
The input this example runs Ulta Reviews Scraper with. “Try this input” opens it in the console, where you can run it as-is or change any field first.
- Ulta product URLs, product ids or category/brand pages
startUrls https://www.ulta.com/shop/makeup/face/foundation
One per line. Product pages (https://www.ulta.com/p/...-pimprod2021615), bare product ids (pimprod2021615, xlsImpprod12021005), or category and brand pages (https://www.ulta.com/shop/makeup/face/foundation, https://www.ulta.com/brand/clinique) to scrape the reviews of every product they list.
- Max reviews per product
maxReviewsPerProduct 5
How many reviews to save for each product. 0 saves every review the product has. Ulta's review service lets anyone page through at most 10,000 reviews per sort order; for bigger products the actor combines several sort orders and star ratings to collect as many as possible.
Default: 20 → this example uses 5
- Sort reviews by
sortBy Most recent
The order reviews are collected in, as on the product page.
- Reviews newer than
reviewsSince 1 year
Only reviews written on or after this date (YYYY-MM-DD), or a relative age such as '30 days', '6 months' or '1 year'. Fastest with the 'Most recent' sort, which stops at the first older review.
- Max products per category or brand page
maxProductsPerListing 2
For category and brand page URLs: how many of the listed products to scrape reviews for, in the page's order. 0 takes every product the listing has (all of its pages).
Default: 10 → this example uses 2
{
"startUrls": [
"https://www.ulta.com/shop/makeup/face/foundation"
],
"maxProductsPerListing": 2,
"maxReviewsPerProduct": 5,
"reviewsSince": "1 year",
"sortBy": "newest"
}What it costs
You pay for the events the actor reports, such as each result or page it produces. Platform usage is included in the event prices.
- Review$0.00025One Ulta review saved to the dataset, with its rating, text, reviewer details, badges, photos and product summary.
When to use this example
From the Ulta Reviews Scraper readme:
Why is a field empty?
Fields are empty when Ulta has no value: bottom_line is missing when the reviewer did not answer, brand_name only exists for syndicated reviews, and product_brand / product_price are only filled for products found on a category or brand page.
Can I schedule it or use the API?
Yes. Schedule it (for example daily with "Reviews newer than: 1 day"), call it from the API, or connect it to your integrations.
Other ways to run Ulta Reviews Scraper
- Reviews across a brand pageLatest reviews of the first products on the Clinique brand page, with each product's brand, price and average rating.
- Most helpful reviews of two bestsellersThe 8 most helpful reviews of two popular foundations, by product id, with rating, text, reviewer and badges.
- 1- and 2-star reviews onlyThe newest critical reviews of a product: see what customers complain about.
- Customer photo reviews written on UltaOnly reviews written on ulta.com that include customer photos, newest first.
About Ulta Reviews Scraper
Scrape Ulta Beauty product reviews by product URL, product id, or category/brand page: star rating, title, text, recommendation, reviewer nickname and location, verified-buyer badge, helpful votes, photos and syndicated brand reviews. No login needed.
- Price:
- from $0.25 / 1,000 reviews
- Developer:
- Shelfbright
- Categories:
- E-commerce, Social media, Automation
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