QSR Menu & Coupon Pricing
Access real-time menu prices, coupons, and promotions — gain a competitive edge without tedious manual tracking
What QSR sources do we read?
Our monitoring solution aggregates real-time menu prices, coupons, and promotions from leading platforms such as Grubhub, DoorDash, Uber Eats, Seamless, and Postmates. By focusing on core menu items, we ensure that you receive localized, store-level data that reflects competitive pricing and promotional strategies across the quick-service restaurant sector. This comprehensive approach allows you to track essential metrics like item prices, promotional offers, and coupon codes efficiently.
What QSR data does it find?
The structured data we provide includes critical columns such as id, Store, Item, Price, Platform, Promo, and Source. This normalized dataset enables you to analyze the competitive landscape effectively, identifying trends in pricing and promotional activity for each restaurant chain. With this data, you can make informed decisions that enhance your market positioning.
Alerts and delivery.
Changes land where your team already works — the same morning they appear.
When do we get QSR alerts?
Stay ahead of the competition with our enabled alert rule that notifies you of significant changes in menu pricing or promotional offers. This timely information allows you to react quickly to market shifts, ensuring that your pricing strategies remain competitive. You will receive alerts directly via email, keeping you informed without the need for constant manual checks.
View alert setup →Where does QSR data go?
Our monitoring solution seamlessly integrates with various platforms, including API and Snowflake, allowing for easy data transfer and analysis. With one active integration, you can streamline your workflow and enhance your data accessibility. This ensures that you can leverage real-time insights for better decision-making in your quick-service restaurant operations.
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.