Best Food Delivery Datasets 2024
Food delivery datasets include information about businesses which deliver food to consumers’ door. Businesses include restaurant & retailers. A food delivery dataset usually includes business KPIs e.g. volume of food order. The datasets also contain consumer-facing metrics e.g. average monthly spend on food delivery. Food delivery datasets help businesses understand the rapidly growing food courier-consumer industry.
Recommended Food Delivery Dataset
Grepsr | Food Menu, Prices, Deliveries, and Reviews from Food Delivery Sites | Global Coverage with Custom and On-demand Datasets
E-Receipt Data | Granular Food Delivery Data for South East Asia, Asia, Latin America, Middle East, United States, India and Japan
DoorDash Consumer Transaction Data | Restaurant & Food Delivery Transaction Data | Asia, Americas | Granular & Aggregate Data available
UberEats E-Receipt Data | Food Delivery Transaction Data | Asia, Americas, EMEA | Granular & Aggregate Data available
Rappi E-Receipt Data | Food Delivery Transactions (Alternative Data) | Latin America | Granular & Aggregate Data available
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GrabFood, GrabExpress Restaurant & Food Delivery Transaction Data | E-Receipt Data | South East Asia | Granular & Aggregate Data avail.
Opah Labs | Food Delivery & Product Data | North America | Bi-Weekly Updates (Consumer Data w/ 965M Records) | 3227
Email Receipt Ride-Sharing Data | Granular Transactional Data for Food Delivery/ Ride-Sharing Sector | Emerging Markets (APAC, LATAM, Europe & USA)
Opah Labs | Restaurant & Food Delivery Transaction Data | North America | Bi-Weekly Updates (Consumer Data w/ 965M Records) | 3227
SKU-Level Granular Email Receipt Data | Consumer Transaction Data for USA & Continental Europe | Ecommerce / Food Delivery / Ride Hailing / Payments
Food delivery datasets include information about businesses which deliver food to consumers’ door. Businesses include restaurant & retailers. A food delivery dataset usually includes business KPIs e.g. volume of food order. The datasets also contain consumer-facing metrics. For example, average monthly spend on food delivery. Food delivery datasets help businesses understand the rapidly growing food courier-consumer industry.
What is a Food Delivery Dataset?
A food delivery dataset includes information about B2C food delivery companies. These companies could be the delivery services, e.g. platforms like JustEat or UberEats. Or it could relate to the restaurant or retailer selling the food.
Food delivery datasets also include data points about consumer ordering habits. Most data providers can create region-specific food delivery datasets. For example, ‘Lieferando orders in Berlin, December’.
Who uses a Food Delivery Dataset?
Most often, it’s restaurants and retailers using food delivery datasets. They can benchmark their performance and services against local competition.
For example, a food delivery data will show reviews for restaurants and retailers. Business-owners can collect customer feedback at scale. This helps them improve their own food delivery service.
Also, startups looking to tap into the gig economy are using food delivery datasets. Grocery delivery services like Gorillas can use the data to analyze competitors like Getir. From there, food delivery companies can form the best strategies.
What information is included in a Food Delivery Dataset?
The information in a food delivery dataset varies from provider to provider. In general, food delivery data comprises the following attributes:
- Delivery time
- Order volume
- Popular stores and restaurants
- Popular products and cuisines
- Pricing
- Packaging
- Emission statistics
How is a Food Delivery Dataset collected?
Data providers crawl food delivery websites and apps to gather data at scale. The biggest data sources are leading food delivery companies inc. UberEats, DoorDash, Wolt, JustEat.