Restaurants, Cafes and Hotels in Switzerland – POI data

Containing data on 50.849 restaurant and café within Switzerland, this dataset offers a comprehensive view of the restaurants and cafés 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 and Cafes in Switzerland

The Restaurants and Cafés POI dataset for Morocco 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.

50,849

Total Number of records
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41,663

Number of Restaurants with Phone Numbers
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33,539

Number of restaurants with websites
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19,741

Number of Restaurants with Traffic Label
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Download Switzerland'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, café or hotel, enabling precise mapping. Furthermore, the dataset offers an array of attributes that furnish additional information about these establishments, such as contact details, operational hours, ratings, reviews, and other relevant data.

Key Variables

The Restaurants and Cafés POI dataset for Morocco 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
sequence
Sequence number for ordering the data
Integer
poi_type
Type of point of interest (e.g., restaurant, café)
String
geometry
Geometric data representing the physical location
Geometry
collection_date
Date when the data was collected
Date
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
meal_weekly_trends
Weekly trends in meal service times
String
day_traffic_trends
Trends in daily traffic to the POI
String
traffic_label
Label describing the traffic score
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
price_range_icons
Visual icons representing the price range
String
rate
Overall customer rating of the POI
Decimal
map_link
URL to the location map of the POI
String
tags
General tags related to the POI
String
services
Services offered by the POI
String
tags5
Additional tag for the POI
String
tags4
Additional tag for the POI
String
district
District where the POI is located
String
tags3
Tertiary tag for the POI
String
tags1
Primary tag for the POI
String
tags2
Secondary tag for the POI
String
province
Province where the POI is located
String
country
Country where the POI is located
String
address_text
Full address of the POI
String
place_id
Unique identifier for the place
Integer
latitude
Geographic latitude of the POI
Float
poi_name
Name of the point of interest
String
longitude
Geographic longitude of the POI
Float

Use Cases

How can this dataset benefit you?

Leverage Traffic Score Data for Market Expansion in Switzerland

It provides a detailed understanding of the Swiss geographical landscape and assists in pinpointing regions where competitors are flourishing and potential opportunities for expansion exist, particularly for stakeholders, marketing professionals, business development executives, or consulting firms.

Utilize Traffic Score Data for Strategic Market Positioning

This data can be particularly useful for marketing executives, enabling them to strategize effectively to cater to the unique preferences and demands of Swiss consumers.

Mitigating Site Selection Risks

By assessing traffic scores in potential Swiss locations, you can avoid expensive errors and address concerns about site selection when expanding or establishing operations in the FMCG and F&B industry.

The industries of Fast-Moving Consumer Goods (FMCG) and Food & Beverage (F&B) are always adapting to keep up with market trends, driven by shifts in consumer preferences and behaviors. Switzerland, with its rich cultural diversity and regional differences, presents a highly competitive market. This is evident in the fact that there are over 50,849 restaurants and cafes in the country, all vying for high customer traffic.

Traffic and popularity of restaurants by province

The traffic score is a useful tool for gauging the popularity of a specific restaurant or cafe. This index is derived from data collected from various phone sensors, providing an indication of how bustling and active each location is in comparison to others across different provinces. This allows for a more nuanced understanding of customer behavior and preferences.

Geographical Distribution

Zurich, with its 6,805 restaurants and cafes, holds the distinction of having the highest number of food and beverage establishments in Switzerland. Bern, the country’s capital, follows closely with over 5,938 such establishments. On the other end of the spectrum, Appenzell Innerrhoden has the smallest number of establishments, with just 136 restaurants.

Why xMap?

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Frequently Asked Questions

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

How much are restaurants in Switzerland?

There are over 50,849 restaurants and cafes in Switzerland with a high traffic score.

What time do restaurants close in Switzerland?

In Switzerland, restaurants typically close around 10:00 PM, but the exact time can vary depending on the establishment and the day of the week.

How expensive are restaurants in Switzerland?

In Switzerland, the cost of a meal at a restaurant can vary, with set lunchtime menus typically priced between CHF 25 to 30, while an ‘à la carte’ dinner main dish can range from CHF 20 to 50.

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