Saudi Arabia | Restaurants, Cafes, and Bakeries Dataset

Dive into a rich database spotlighting the culinary scene of Saudi Arabia. Spanning restaurants, cafes, and bakeries, this dataset is a treasure trove for restaurateurs, marketers, and researchers seeking a comprehensive look at the kingdom's gastronomic landscape.

List of Saudi Arabia's Restaurants, Cafes, and Bakeries

Embark on a journey through 132,383 records, capturing the essence of Saudi Arabia's dining establishments. Whether you're exploring phone-number-listed venues, those with websites, or those showcasing traffic label data, this dataset serves as your culinary compass, offering a taste of the kingdom's diverse and vibrant food sector.

132383

Total Number of records
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84638

By Phone numbers
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13970

By websites
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61258

By Traffic Label data
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Download Saudi Arabia's Restaurants, Cafes, and Bakeries Dataset

Unlock the rich flavors of Saudi Arabia's dining scene. Featuring 132,383 meticulously curated records, this dataset invites you to explore, analyze, and strategize, providing a panoramic view of the kingdom's restaurants, cafes, and bakeries. Download now for a taste of insight.

Key Variables

Embark on a journey through 132,383 records, capturing the essence of Saudi Arabia's dining establishments. Whether you're exploring phone-number-listed venues, those with websites, or those showcasing traffic label data, this dataset serves as your culinary compass, offering a taste of the kingdom's diverse and vibrant food sector.

Name
Description
Type
collection_date
Date when the information was collected.
text
sequence
Sequence number for ordering or indexing.
bigint
geometry
Geometric data representing the location of the point of interest.
USER-DEFINED
img_links
Links to images associated with the point of interest.
text
properties
Properties or characteristics of the point of interest.
text
poi_time_zone
Time zone of the point of interest.
text
keywords_used_in_search
Keywords used in searching for the point of interest.
text
description
Description or detailed information about the point of interest.
double precision
poi_website
Website of the point of interest.
text
poi_news
News related to the point of interest.
text
traffic_label
Label describing the traffic at the point of interest.
text
meal_weekly_trends
Data on the weekly meal-related traffic trends at the point of interest.
text
day_traffic_trends
Data on the daily traffic trends to the point of interest.
text
traffic_score
Score indicating the volume of traffic to the point of interest.
double precision
online_visibility
Visibility of the point of interest on online platforms.
text
is_closed
Status of whether the point of interest is open or closed.
text
reservations
Information on reservations for the point of interest.
text
phone
Contact phone number for the point of interest.
text
photos
Links to photos of the point of interest.
text
price_range
Text indicating the price range of the point of interest.
text
rate
Rating of the point of interest.
double precision
reviews_no
Number of reviews for the point of interest.
double precision
price_range_icons
Icons indicating the price range of the point of interest.
text
map_link
Link to a map showing the point of interest.
text
services
Services offered at the point of interest.
text
tags3
Additional categorization tag for the point of interest.
text
tags4
Additional categorization tag for the point of interest.
text
tags5
Additional categorization tag for the point of interest.
text
tags2
Additional categorization tag for the point of interest.
text
tags1
Additional categorization tag for the point of interest.
text
tags
General category tags for the point of interest.
text
province
Province where the point of interest is located.
text
district
District where the point of interest is located.
text
country
Country where the point of interest is located.
text
longitude
Geographic longitude of the point of interest.
double precision
address_text
Address of the point of interest.
text
poi_name
Name of the point of interest.
text
place_id
Unique identifier for the place of interest.
text
latitude
Geographic latitude of the point of interest.
double precision

Use Cases

How can this dataset benefit you?

Market Analysis

Businesses can delve into the dataset to identify potential areas for expansion, gauge competition, and align their offerings with current market trends.

Digital Outreach

With insights on establishments having websites, marketers can devise targeted online campaigns, partnerships, or collaborations.

Supply Chain Enhancement

Suppliers can harness the dataset to identify potential clients and refine their delivery and distribution systems based on the traffic label data.

Unleash the power of xMap

By Phone numbers

Experience seamless connections with 84,638 establishments listed with phone numbers. This metric emphasizes the direct reachability of these venues, offering stakeholders an avenue to quickly engage, collaborate, or inquire.

By websites: 13970:

Venture into the digital realm with insights into 13,970 dining establishments boasting websites. A testament to their online presence, this data offers a glimpse into the establishments' digital outreach and potential for online engagements.

By Traffic Label data

Decipher the flow with insights on 61,258 establishments showcasing traffic label data. Vital for suppliers, marketers, and strategists, this metric sheds light on the footfall and popularity trends of these venues, empowering data-driven decisions.

Why xMap?

Download the list of 63,500 Restaurants in Florida based on their name, phone number, email, and other information.

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 was the data related to Saudi Arabia's dining establishments sourced?

The dataset amalgamates information from official Saudi business directories, partnerships with local commerce chambers, and reliable third-party food and beverage databases.

Does the dataset encompass all regions within Saudi Arabia?

This dataset primarily focuses on prominent dining establishments across various regions in Saudi Arabia, ensuring a holistic coverage of the nation's culinary map.

Are there insights available regarding the type of cuisine or service ratings?

The main dataset emphasizes phone numbers, websites, and traffic label data. For specific details like cuisine type or service ratings, you might need to consult the extended dataset or reach out to our support.

Muneeb Rehman
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