Delivery apps are now a primary sales channel for US restaurants — yet most run them on instinct. We give restaurant groups, food brands and delivery platforms structured data on menus, pricing, fees and performance across DoorDash, Uber Eats and Grubhub.
A restaurant group runs hundreds of storefronts across three delivery apps, each with its own menu, pricing, fees, ranking and ratings. Leadership sees order totals but not why a location lags. Menus drift out of sync, fees pile up at checkout, competitors win the category. Without structured delivery data, the channel stays a black box.
We turn the moving target of US food delivery into structured datasets your operations, pricing and brand teams can act on every day.
Menus, pricing and performance scored for every storefront.
DoorDash, Uber Eats and Grubhub in one schema.
From your scope to a validated delivery data pilot.
One data partner serving restaurant groups, food brands, delivery platforms and the teams inside them.
Audit menus, pricing and performance across all locations.
Check franchisees follow menu and pricing standards.
Benchmark virtual brands across delivery platforms.
Monitor menu, pricing and listing quality at scale.
Keep menu pricing consistent and competitive.
Find underperforming storefronts fast.
Track ranking, ratings and promotion impact.
Build channel views from structured delivery data.
Each solution is a focused dataset — combine the ones that match your priorities.
Menu items, prices and modifiers across US delivery apps.
View solution →Delivery performance, ratings and ranking from US apps.
View solution →Delivery, service and surge fee tracking across US apps.
View solution →Customer review and sentiment intelligence at scale.
View solution →Assortment and delivery data from US q-commerce apps.
View solution →Track brand mentions and reputation across the US web.
View solution →Structured delivery data drives operations, pricing and competitive strategy.
Confirm prices are correct and consistent everywhere.
Rank storefronts and find the underperformers.
Compare menus and pricing against rivals per market.
See the true delivered cost a customer pays.
Catch slipping ratings before they cost orders.
Give franchisors a clear delivery-channel scorecard.
A simple five-step path — and you talk directly to the engineers building your pipeline.
Tell us your locations and target delivery platforms.
We configure menu, fee and performance capture.
Data is cleaned, validated and deduplicated.
Clean output via CSV, JSON, API or dashboard.
Scheduled updates with monitoring and alerts.
We focus on US delivery platforms and US response hours — so your team gets fast pilots and data structured the way restaurant operations actually need it.
Items, modifiers and combos captured, not just prices.
Menus and performance per storefront.
One format across all three major apps.
Your team is told when menus, fees or ratings change.
Food delivery and restaurant companies use menu, pricing, modifier, fee, rating and ranking data to manage their listings, price competitively and benchmark performance across delivery platforms.
We cover DoorDash, Uber Eats and Grubhub as standard, and can add restaurant-direct ordering sites and other US delivery platforms on request.
Yes. We capture menus, pricing and performance at the location level, so multi-location restaurant groups and franchises can audit and compare every storefront.
Yes. Menus, pricing and delivery options vary by location and zone. We capture data at the location or zone level so it reflects what customers actually see.
We deliver CSV, JSON and Parquet files, REST API endpoints, SFTP and cloud destinations, plus optional dashboards comparing menus, fees and performance.
Tell us your restaurant locations and we'll return a sample food delivery dataset within 1 business day.
Hyperlocal pricing and availability data for grocery and q-commerce.
View industry →Pricing, assortment and competitor data for retailers and brands.
View industry →Fare, rate and availability data for travel and hospitality.
View industry →