Restaurant and Cafés points of interest data in Egypt– POI data

Containing data on 92,729 restaurant, café, hotel and accommodation establishment within Egypt, this dataset offers a comprehensive view of the restaurants, cafés, hotels and accommodation establishments landscape in the country. Each entry includes vital information such as the establishment’s name, address, contact details, website link, review counts, and 20 additional attributes.

List of Restaurants in the Egypt

The Restaurants, Cafés, Hotels and Accommodation Establishments POI dataset for Egypt provides a comprehensive collection of real-world locations that are identifiable and named, specifically focusing on restaurants and cafes. These POIs include various types of eateries, such as fast food, casual dining, fine dining, ethnic cuisine, coffee shops, bakeries, etc., facilitating efficient access and enhancing user experiences.

92,729

Total Number of records
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48,823

Number of Restaurants with Phone Numbers
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26,183

Number of Restaurants with Websites
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39,343

Number of Restaurants with Traffic Label
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Download Egypt’s Restaurants, and Cafés Points of Interest Data

This dataset employs various categorization methods to classify restaurants and cafés based on type, subtype, location, and attributes. The type categorization encompasses broad classifications like restaurant or café, while subtypes offer finer granularity such as specific cuisines. Location data pinpoints the exact geographical coordinates of each restaurant or café, enabling precise mapping. Furthermore, the dataset offers an array of attributes that furnish additional information about these restaurants and cafés, such as contact details, operational hours, ratings, reviews, and other relevant data.

Key Variables

The Restaurants, Cafés, Hotels and Accommodation Establishments POI dataset for Egypt provides a comprehensive collection of real-world locations that are identifiable and named, specifically focusing on restaurants and cafes. These POIs include various types of eateries, such as fast food, casual dining, fine dining, ethnic cuisine, coffee shops, bakeries, etc., facilitating efficient access and enhancing user experiences.

Name
Description
Type
poi_type
Type of point of interest (e.g., restaurant, café)
String
sequence
Sequence number for ordering the data
Integer
collection_date
Date when the data was collected
Date
geometry
Geometric data representing the physical location
Geometry
img_links
Links to images of the POI
String
keywords_used_in_search
Keywords used in searches leading to the POI
String
description
Description of the POI
Text
poi_news
News articles related to the POI
String
poi_time_zone
Time zone of the POI
String
properties
Additional properties of the POI
String
traffic_label
Label describing the traffic score
String
day_traffic_trends
Trends in daily traffic to the POI
String
meal_weekly_trends
Weekly trends in meal service times
String
traffic_score
Score representing the traffic to the POI
Decimal
is_closed
Indicates if the POI is currently closed
Boolean
online_visibility
Visibility of the POI in online platforms
Boolean
reservations
Indicates if reservations are required/available
Boolean
phone
Contact phone number of the POI
String
photos
URLs to photos of the POI
String
price_range
Text description of the price range
String
reviews_no
Number of reviews for the POI
Integer
rate
Overall customer rating of the POI
Decimal
price_range_icons
Visual icons representing the price range
String
map_link
URL to the location map of the POI
String
services
Services offered by the POI
String
tags5
Additional tag for the POI
String
tags4
Additional tag for the POI
String
tags
General tags related to the POI
String
tags2
Secondary tag for the POI
String
tags3
Tertiary tag for the POI
String
tags1
Primary tag for the POI
String
district
District where the POI is located
String
province
Province where the POI is located
String
country
Country where the POI is located
String
poi_name
Name of the point of interest
String
latitude
Geographic latitude of the POI
Float
place_id
Unique identifier for the place
Integer
longitude
Geographic longitude of the POI
Float
address_text
Full address of the POI
String

Use Cases

How can this dataset benefit you?

Trend Analysis for Targeted Advertising

Merge restaurant data with customer insights for personalized ads. Identify preferences, optimize timing, and increase ROI by connecting deeply with your audience.

Location Intelligence for Restaurant Placement

Maximize property potential with location info and reviews. Find ideal spots for cafés or fine dining, ensuring commercial success.

Unleash Immersive Experiences Through Data

App devs, hospitality leaders, and wellness advocates, integrate our dataset for transformative insights. Elevate engagement, satisfaction, and journeys with data-driven experiences.

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 many restaurants in Egypt?

Containing data on 92,729 restaurant, café, hotel and accommodation establishment within Egypt.

What are the best restaurants in Egypt?

Some of the best restaurants in Egypt: Citadel View Restaurant, Taj Mahal Restaurant, Greek Clubhouse, Samakmak, Byblos, Moghul Room, Fish Market Restaurant, and Andrea Mariouteya.

What fast food restaurants are in Egypt?

Some of the fast food restaurants in Egypt: Kazaz Restaurant, Moodz Burger, Pizza Hut, Bremer, Chicken Fil-A, McDonald’s Stanley, Shawarma King Restaurant, Burger King - Tivoli Dome Heliopolis.

Muneeb Rehman
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