United Arab Emirates Talabat Restaurants Dataset

"Explore the thriving landscape of the UAE's restaurant industry with our Talabat dataset. Ideal for restaurateurs, market analysts, and food delivery strategists."

In-Depth Analysis of UAE's Restaurant Market through Talabat

Dive into the dynamics of the UAE's restaurant sector via Talabat's platform. Our dataset provides crucial insights into restaurant popularity, order trends, and customer preferences, key for market positioning and strategy.

16494

Total Number of records
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37%

Significant Growth in Orders (2022)
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68%

Digital Payment Adoption
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10

Active Cloud Kitchens
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Download a Sample of the UAE Talabat Restaurants Dataset

Gain insights into the UAE's rapidly evolving restaurant landscape through Talabat. Our sample dataset includes data on restaurant partnerships, order volumes, and customer preferences, essential for strategic business planning and market analysis.

Key Variables

Dive into the dynamics of the UAE's restaurant sector via Talabat's platform. Our dataset provides crucial insights into restaurant popularity, order trends, and customer preferences, key for market positioning and strategy.

Name
Description
Type
cuisine_5
Fifth type of cuisine offered by the restaurant
String
cuisine_4
Fourth type of cuisine offered by the restaurant
String
cuisine_3
Tertiary cuisine offered by the restaurant
String
cuisine_2
Secondary cuisine offered by the restaurant
String
geometry
Geographic geometry data for the restaurant's location
String
cuisine_1
Primary cuisine offered by the restaurant
String
avg_items_calories
Average calorie count of the menu items
Float
rst_status
Operational status of the restaurant
String
avg_items_price
Average price of the items on the menu
Float
items_count
Count of items on the restaurant's menu
Integer
area_name
Name of the area where the restaurant is located
String
is_coke_restaurant
Indicates if the restaurant is partnered with Coca-Cola
Boolean
city_name
Name of the city where the restaurant is located
String
tracking_provided
Whether the restaurant provides tracking for deliveries
Boolean
contactless_delivery
Whether the restaurant offers contactless delivery
Boolean
accept_cash
Whether the restaurant accepts cash payments
Boolean
total_reviews
Total number of reviews received by the restaurant
Integer
accept_debit_card
Whether the restaurant accepts debit card payments
Boolean
accept_credit_card
Whether the restaurant accepts credit card payments
Boolean
discount_text
Text describing any discounts offered by the restaurant
String
delivery_fee
Delivery fee charged by the restaurant
Float
menu_url
URL of the restaurant's menu
String
minimum_order_amount
Minimum order amount required by the restaurant for delivery
Float
branch_complete_name
The complete name of the restaurant branch
String
delivery_time
Estimated delivery time for orders
String
ratings_number
Number of ratings the restaurant has received
Integer
name
Name of the restaurant
String
_geojson
GeoJSON format data for the restaurant's geographic location
String
place_id
Unique identifier for the restaurant place
String
sequence
Sequential number representing the order of data entries
Integer
rate
Average rating of the restaurant
Float

Use Cases

How can this dataset benefit you?

Market Trend Analysis

Utilize the dataset to analyze current trends in the restaurant and food delivery industry, assisting businesses in staying ahead of market shifts.

Strategic Planning for Restaurants

Leverage these insights for restaurant owners and managers to optimize their presence on Talabat, enhancing visibility and order volume.

Digital Transformation Insights

Employ this dataset to understand the impact of digital transformation on the food service industry, particularly in the context of online ordering and payment trends.

Significant Growth in Orders

Talabat UAE experienced a substantial order growth of over 37% in 2022 across its food, grocery, and other verticals, indicating a robust expansion in the online food delivery market​​.

Digital Payment Adoption

Key Insight 2 Short Description:"Over 68% of online order payments on Talabat were made digitally in the last year, reflecting a significant shift towards cashless transactions in the UAE's food delivery sector​​.

Expansion of Restaurant Partners and Cloud Kitchens

Talabat reported having over 19,000 active restaurants on its platform in 2022 across the UAE, with a 400% growth in orders from its 10 active cloud kitchens, showcasing the platform's extensive reach and the growing importance of cloud kitchens in the industry​​.

Why xMap?

xMap empowers businesses with unparalleled location intelligence and comprehensive data analysis, guiding them towards market leadership and growth.

Close Faster

23

Times more likely to acquire customers
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Improve Sales

4.5%

Of the total revenue because of data-driven innovations
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Retain More

6

Times more likely to retain customers
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Frequently Asked Questions

Find answers to commonly asked questions about our spatial analyst platform.

How comprehensive is the dataset in terms of restaurant variety and geographic coverage?

This dataset covers a wide variety of restaurants, including over 19,000 active establishments across all seven emirates, offering a comprehensive view of the UAE's diverse culinary landscape.

Does the dataset provide insights into consumer behavior and preferences?

Yes, it includes data on consumer ordering patterns and preferences, aiding businesses in tailoring their offerings to meet customer demands.

Can this dataset be used to gauge the impact of cloud kitchens on the traditional restaurant model?

Absolutely. With data on the growth of cloud kitchens and their order volumes, this dataset is valuable for assessing the evolving restaurant business models in the UAE.

Alex Sakal
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