Worldwide enhanced F&B (restaurants, cafés, etc.) dataset, including metadata, social profiles, menus, reviews, pictures, and more.

#	brand_name	country	city	latitude	longitude	area	address	telephone_number	restaurant_website	linkedin_link	facebook_link	instagram_link	twitter_link	restaurant_menu_link	categories	dietary_restrictions	restaurant_type	place_tags	rating	review_count	price_range	restaurant_class	service_options	dining_style	one_line_summary	description	popular_dishes	meals_offered	mentioned_in_reviews	online_reservation_links	awards	executive_chef_name	parking_info	dress_code	editorial_lists	entertainment	place_of_interest	operating_hours_sunday	operating_hours_monday	operating_hours_tuesday	operating_hours_wednesday	operating_hours_thursday	operating_hours_friday	operating_hours_saturday
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Volume

100K

records

Avail. Formats

.json, .xml, and .csv

File

Coverage

Countries

[Sample] Demo Data.csv

Attribute	Type	Example	Mapping
brand_name	String	106 Baker St	Brand Name
country	String	United Kingdom	Country Name
city	String	London	City Name
latitude	Float	51.5208196	Latitude
longitude	Float	-0.1567362	Longitude
area	String	Baker Street
address	String	### *** **, ******, **** # #**	Address
telephone_number	Float	############.#	Phone Number
restaurant_website	String	https://www.106bakerst.co.uk/	Website
linkedin_link
facebook_link	String	https://www.facebook.com/106BakerSt/
instagram_link	String	https://www.instagram.com/106bakerst/
twitter_link
restaurant_menu_link
categories	String	Cafe, Deli, Bakery, Healthy Food
dietary_restrictions	String	Vegetarian Friendly, Vegan Options, Gluten Free Options
restaurant_type	String	Café
place_tags	String	Takeaway Available, Wifi, Outdoor Seating, Seating, Wheel...
rating	Float	4.3
review_count	Integer	140
price_range	String	Ł15 for two people
restaurant_class	String	Moderately expensive
service_options	String	Dine-in, Takeaway
dining_style
one_line_summary	String	Deli
description
popular_dishes
meals_offered	String	Breakfast, Lunch, Brunch
mentioned_in_reviews
online_reservation_links
awards
executive_chef_name
parking_info
dress_code
editorial_lists
entertainment
place_of_interest
operating_hours_sunday	String	Closed
operating_hours_monday	String	Closed
operating_hours_tuesday	String	7AM-5PM
operating_hours_wednesday	String	7AM-5PM
operating_hours_thursday	String	7AM-5PM
operating_hours_friday	String	7AM-5PM
operating_hours_saturday	String	Closed

Product Attributes

Attribute	Type	Example	Mapping
brand_name	String	KFC	Brand Name
outlet		Pizza Hut Westminister
country	String	United Kingdom	Country Name
city	String	London	City Name
area		Islington
latitude/longitude	String	50.3024, 0.35514	Latitude-Longitude
address	String	## *** **, , **** # #**	Address
operating_hours		[09:00 - 23:00 Monday - Thursday, 12:00 - 23:00 Friday - ...
telephone_numbers	String	[+############,+############]	Phone Number
description		BAPJO serves homemade style Korean & Japanese food using ...
restaurant_website	String	https://www.33abbevilleroad.co.uk/	Website
linkedin_link		https://www.linkedin.com/company/64th-social
facebook_link		https://www.facebook.com/www.49cafe.co.uk/
instagram_link		https://www.instagram.com/52a_coffee_house/
twitter_link		https://mobile.twitter.com/abstarv
restaurant_menu_link		https://london.acecafe.com/wp-content/uploads/sites/7/201...
categories		[Street Food, Burger, American]
dietary_restrictions		[Vegetarian Friendly, Vegan Options]
place_tags		[Accepts Credit Cards, Family style, Free Wifi, Serves Al...
restaurant_type		Sit down
avg_price		£55 for two people with alcohol
entertainment		Live Music on Thursday and Friday Evenings from 5pm
avg_rating		4.35
reviews_count		337
executive_chef_name		Thomas Alphonsine

Extensive dataset of restaurants in the US, EU and Middle East. For markets we don't yet cover, we're more than happy to work with you to get them. Data will be adapted to your schema for ease of integration.

Data you can expect: - Metadata (country, region, city, coordinates, address, categories, description, operating hours, and more) - Contacts (phone contacts, email, website) - Social profiles (LinkedIn, Twitter, Instagram, Facebook) - Reviews (reviews and ratings on different sites) - Menus (categories, items, prices, descriptions and photos) - Other info (awards, Michelin stars, executive chef, popular dishes, average meal price, and more) - Photos (ambience, food, menu photos) Let us know if you have a specific request, and we'll try to fulfil it. How we deliver data: - We transform it to fit your system's data schema, (ease the pain and cost of having data engineers from your side) - We are completely flexible on the delivery format and method.

Asia (4)

Bahrain

Kuwait

Saudi Arabia

United Arab Emirates

Europe (18)

Austria

Belgium

Czech Republic

Denmark

Finland

France

Germany

Greece

Hungary

Ireland

Italy

Netherlands

Norway

Poland

Portugal

Spain

Sweden

United Kingdom

North America (2)

Canada

United States of America

100,000

records

Free sample available

Revenue share is available at 15%

License	Starts at
One-off purchase	$2,500 / purchase
Monthly License	$1,000 / month
Yearly License	Not available
Usage-based	Not available

Request detailed pricing

Methods

Frequency

Format

Retail Analytics

Point of Interest (POI) Mapping Data Augmentation Data Append

POI Enrichment

Restaurant Data B2B Contact Data Restaurant Location Data Retail Data Food & Grocery Data

18K restaurants

United Kingdom covered

Extensive dataset of restaurants in London, including contacts, social profiles and lots of other information.

2.95K locations

95% Accuracy

2 countries covered

Comprehensive POI data for all Carl's Jr and Hardee's locations in US and Canada. Enables detailed analysis of these sister fast-food chains' market presence...

65.6K records

Australia covered

Explore our large Australian database of restaurant information, covering a wide range of dining venues across Australia. With data on thousands of restauran...

100% Match Rate

249 countries covered

Price, delivery options, and menu information from several online meal delivery websites combine the food delivery data. Food deliveries may need to immediat...

What is Worldwide enhanced F&B (restaurants, cafés, etc.) dataset, including metadata, social profiles, menus, reviews, pictures, and more.?

Extensive dataset of restaurants in the US, EU and Middle East. For markets we don’t yet cover, we’re more than happy to work with you to get them. Data will be adapted to your schema for ease of integration.

What is Worldwide enhanced F&B (restaurants, cafés, etc.) dataset, including metadata, social profiles, menus, reviews, pictures, and more. used for?

This product has 5 key use cases. Dotlas recommends using the data for Retail Analytics, Point of Interest (POI) Mapping, Data Augmentation, Data Append, and POI Enrichment. Global businesses and organizations buy Restaurant Data from Dotlas to fuel their analytics and enrichment.

Who can use Worldwide enhanced F&B (restaurants, cafés, etc.) dataset, including metadata, social profiles, menus, reviews, pictures, and more.?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Restaurant Data. Get in touch with Dotlas to see what their data can do for your business and find out which integrations they provide.

Which countries does Worldwide enhanced F&B (restaurants, cafés, etc.) dataset, including metadata, social profiles, menus, reviews, pictures, and more. cover?

This product includes data covering 24 countries like USA, Germany, United Kingdom, France, and Italy. Dotlas is headquartered in United States of America.

How much does Worldwide enhanced F&B (restaurants, cafés, etc.) dataset, including metadata, social profiles, menus, reviews, pictures, and more. cost?

Pricing for Worldwide enhanced F&B (restaurants, cafés, etc.) dataset, including metadata, social profiles, menus, reviews, pictures, and more. starts at USD1,000 per month. Connect with Dotlas to get a quote and arrange custom pricing models based on your data requirements.

How can I get Worldwide enhanced F&B (restaurants, cafés, etc.) dataset, including metadata, social profiles, menus, reviews, pictures, and more.?

Businesses can buy Restaurant Data from Dotlas and get the data via S3 Bucket, SFTP, Email, REST API, and Feed API. Depending on your data requirements and subscription budget, Dotlas can deliver this product in .json, .xml, .csv, .xls, and .txt format.

What is the data quality of Worldwide enhanced F&B (restaurants, cafés, etc.) dataset, including metadata, social profiles, menus, reviews, pictures, and more.?

You can compare and assess the data quality of Dotlas using Datarade’s data marketplace.

What are similar products to Worldwide enhanced F&B (restaurants, cafés, etc.) dataset, including metadata, social profiles, menus, reviews, pictures, and more.?

This product has 3 related products. These alternatives include London Restaurant Data (including metadata, websites, social profiles, contact details, price details, and more), Location Data All CKE Restaurants Holdings Inc. Locations in US and Canada Thorough Geographic Insights Point of Interest Data, and Restaurant Location Data Australia 65k+ Restaurant, Cafes, Takeaway and other Consumer Food Outlet Businesses Addresses, Contacts, Geo information. You can compare the best Restaurant Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at

$1,000 / month

License	Starts at
One-off purchase	$2,500 / purchase
Monthly License	$1,000 / month
Yearly License	Not available
Usage-based	Not available

Verified Provider

Worldwide enhanced F&B (restaurants, cafés, etc.) dataset, including metadata, social profiles, menus, reviews, pictures, and more.

Data Dictionary

Description

Country Coverage

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Dotlas
Measuring the retail world

Worldwide enhanced F&B (restaurants, cafés, etc.) dataset, including metadata, social profiles, menus, reviews, pictures, and more.

Data Dictionary

Description

Country Coverage

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Dotlas Measuring the retail world

Dotlas
Measuring the retail world