Real-Time Apparel Comp Data
Apparel competitor data from 12+ retail sources for pricing, inventory, color, and size checks
What apparel sources do we read?
Radar reads 12+ apparel e-commerce sources, including Zara, Pull&Bear, Pull & Bear, ASOS, H&M, and Mango. It captures product listings with category, price, original price, stock status, color, and size availability from competitor pages.
What apparel data does it find?
Each dataset row has Source, Product, Category, Price, Original Price, Stock Status, Color, and Size Availability. Source identifies the retailer, product and category describe the item, and the remaining columns show pricing, inventory, and variant details.
Alerts and delivery.
Changes land where your team already works, the same morning they appear.
When do we get apparel alerts?
Alerts are enabled for competitor pricing and inventory levels. A notification is sent when the rule detects a large change in price or stock status for tracked apparel products.
View alert setup →Where does apparel data go?
Extracted apparel data lands in API, BigQuery, and Webhooks. Radar delivers structured records that match the dataset columns, so downstream jobs can read the same product, price, stock, color, and size data.
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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