Real-Time Fashion Comp Intel
Radar tracks fashion competitor pricing, assortment, stock, ratings, and reviews for retail teams
What fast-fashion sources do we read?
Radar reads 8+ fast-fashion and department store e-commerce sites, including ASOS, Boohoo, Zara, H&M, and Next. It captures competitor product pages with product names, categories, current and original prices, stock status, ratings, and review counts.
What fast-fashion data does it find?
Each row has Source, Product, Category, Price, Original Price, Stock Status, Rating, and Reviews. Source identifies the retailer, Product and Category describe the item, pricing columns show markdowns, and the remaining columns show availability and customer response.
Alerts and delivery.
Changes land where your team already works, the same morning they appear.
When do we get fast-fashion alerts?
An enabled alert rule watches for competitor price changes. It sends a notification when the monitored products show price movement that matches the rule.
View alert setup →Where does fast-fashion data go?
Data is delivered through API, Snowflake, Webhooks, and Email. Teams can receive the structured competitor dataset in those destinations and use it in existing reporting or data workflows.
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?
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