Beauty Competitive Data Tracking
Beauty retailers tracked for prices, stock, ratings, and reviews across Amazon, Sephora, Ulta Beauty, Beauty Bay, and Dermstore
What beauty sources do we read?
Radar reads 8+ online beauty and cosmetics retailers, including Amazon, Sephora, Ulta Beauty, Beauty Bay, and Dermstore. It captures product pages for pricing, promotions from original price changes, stock status, ratings, and customer reviews.
What beauty data does it find?
Dataset columns are Product, Price, Original Price, Stock Status, Rating, and Reviews. Product identifies the item, price fields show current and former pricing, and the remaining columns cover availability and customer response.
Alerts and delivery.
Changes land where your team already works, the same morning they appear.
When do we get beauty alerts?
Alerts use one enabled rule for changes in product pricing and promotions. The rule notifies you when configured thresholds are met.
View alert setup →Where does beauty data go?
Extracted records land through API, Snowflake, and Webhooks. Jsonify sends the structured beauty competitive dataset to those destinations for storage, downstream analysis, or event handling.
Frequently asked questions
Is Jsonify just a web scraping tool?
How often is the data updated?
What sources are covered for this use case?
Where does the extracted data go?
Can I customize which data fields are extracted?
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