Track competitor insights from global e-commerce
Radar tracks competitor products, prices, stock, ratings, and reviews across food and beverage e-commerce
What food and beverage sources do we read?
Radar reads 12+ sources, including Amazon, Walmart, Target, Instacart, and Food Business News. It captures competitor product positioning and pricing architecture signals, along with product listings, prices, original prices, stock status, ratings, and review counts.
What food and beverage data does it find?
Dataset columns include Source, Product, Price, Original Price, Stock Status, Rating, and Reviews. Source identifies where the record came from, product fields describe the listing, price fields show current and prior pricing, 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 food and beverage alerts?
One alert rule is enabled. It watches competitor pricing and product launches, then sends a notification when the configured change condition is met.
View alert setup →Where does food and beverage data go?
Extracted data lands in Google Sheets, CSV, and API. Teams can use the sheet destination, download the structured file, or pull records through the API.
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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