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."

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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.

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Key Variables

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.