Advanced Ulta Reviews Scraper avatar
Advanced Ulta Reviews Scraper

Pricing

$0.35 / 1,000 results

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Advanced Ulta Reviews Scraper

Advanced Ulta Reviews Scraper

Collect all reviews from a ulta product listed on website ulta.com Extract informations like title, description, date, location, username, badges, images/videos, rating, help score Boost your reviews monitoring and analytics at scale

Pricing

$0.35 / 1,000 results

Rating

0.0

(0)

Developer

SASWAVE

SASWAVE

Maintained by Community

Actor stats

2

Bookmarked

3

Total users

2

Monthly active users

a day ago

Last modified

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Ulta Reviews Scraper

The Ulta Reviews Scraper collects all reviews for products listed on Ulta.com.

It extracts detailed review information including user info, rating, content, media, and helpfulness metrics.

πŸ”Ή Features

Review Metadata

ugc_id / review_id / internal_review_id – unique identifiers for each review.

created_date / updated_date – timestamps for review creation and last update.

locale – language/region of the review.

source – source type (e.g., syndicated).

User Information

nickname – reviewer username.

location – reviewer location.

is_verified_buyer – whether the user purchased the product.

is_verified_reviewer – whether the reviewer is verified.

is_staff_reviewer – whether the reviewer is Ulta staff.

Review Content

headline – review title.

comments – main review text.

rating – star rating (1–5).

media – array of images or videos uploaded with the review.

bottom_line – summary recommendation (Yes/No).

properties – optional product properties mentioned.

Helpfulness Metrics

helpful_votes / not_helpful_votes – votes from other users.

helpful_score – computed score for usefulness.

Brand Information

brand_name – name of the brand.

brand_base_url – link to the brand website.

brand_logo_uri – brand logo image URL.

Product Association

product_page_id – identifier for the product page.

Output

{
"ugc_id": 565779909,
"legacy_id": 427496837,
"review_id": 565779909,
"internal_review_id": 427496837,
"media": [],
"comments": "I have very sensitive skin and use Moisture Surge because it works. Also, it doesn't cause breakouts or clogged pores. It leaves my skin looking healthy and clean. Love this product!",
"headline": "Outstanding moisturizer!",
"brand_base_url": "http://www.clinique.com/",
"brand_logo_uri": "/images_merchants/logos/78517_logo_small.png",
"brand_name": "Clinique US",
"nickname": "KazooMel",
"properties": [],
"locale": "en_US",
"source": "syndicated",
"location": "Michigan",
"created_date": "2025-10-13 03:51:02.068000",
"updated_date": "2025-10-13 03:51:04.390000",
"bottom_line": "Yes",
"product_page_id": "pimprod2021615",
"helpful_votes": 0,
"not_helpful_votes": 0,
"rating": 5,
"helpful_score": 1514,
"is_staff_reviewer": false,
"is_verified_buyer": false,
"is_verified_reviewer": true
},

πŸ”Ή Use Cases

Sentiment Analysis

Analyze user opinions on specific products or brands.

Identify positive and negative feedback trends.

Product Research & Development

Find common product complaints and improvement suggestions.

Discover which product features users like most.

Market Intelligence

Monitor competitors’ product reviews and ratings.

Track brand perception across different regions.

Customer Engagement & Retention

Identify loyal customers or influencers from review patterns.

Respond to feedback proactively to improve customer satisfaction.

Content & Marketing Strategy

Highlight top-rated products and positive reviews in campaigns.

Use review insights to create product-focused content.

E-commerce Optimization

Integrate verified reviews into product pages for social proof.

Analyze review trends to optimize inventory and sales strategy.

Brand Trust Analysis

Track verified vs. unverified reviewer patterns.

Monitor helpfulness votes to gauge trustworthiness of reviews.

πŸ›Ÿ SUPPORT

Share your runs with the developer team and create issues on error to help us improve actor quality.

You might discover edge case we didn't test yet

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