Gather competitor product data from e-commerce
Track competitor product data, pricing, stock, ratings, and reviews across beauty e-commerce sites
What beauty industry sources do we read?
Radar reads 12+ e-commerce sources, including Amazon, Walmart, Target, Sephora, and Ulta. It captures competitor product assortment, prices, promotions, product availability, stock status, ratings, reviews, and when each record was last updated.
What beauty industry data does it find?
Each dataset has 8+ columns: Source, Product, Price, Original Price, Stock Status, Rating, Reviews, and Last Updated. Source and Product identify the listing, pricing columns show current and original prices, and the remaining fields cover availability, feedback, and freshness.
Alerts and delivery.
Changes land where your team already works, the same morning they appear.
When do we get beauty industry alerts?
One enabled alert rule watches competitor price changes. It sends notifications when a price change matches the configured rule for the monitored product data.
View alert setup →Where does beauty industry data go?
Extracted competitor product data lands in API, BigQuery, Salesforce, and Email. The same structured dataset can be delivered to these destinations for downstream reporting or workflow use.
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?
Ready to monitor this data?
Set up your own monitoring pipeline in minutes. No code required.