Restaurant Database Worldwide: 4M+ Restaurants, bars and cafes from 240 Countries, Expansion Opportunities
# | International Region |
Parent Company |
Parent Country |
Year Founded |
Sales Reliability Code |
Employees Reliability Code |
Ownership Type |
Registration Number |
||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx |
2 | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx |
3 | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx |
4 | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx |
5 | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx |
6 | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx |
7 | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx |
8 | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx |
9 | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx |
10 | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx |
... | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
String | 420 | Company ID | |
String | Coca Cola | Company Name | |
String | 1 Infinite Loop, Cupertino, CA 95014, USA | Company Address | |
String | Berlin | City Name | |
String | Province Name | ||
String | United States of America | Country Name | |
International Region
|
String | ||
String | Company Phone Number | ||
String | Company Phone Number | ||
String | Company Email Address | ||
String | https://www.ibm.com | Company Website | |
Parent Company
|
String | ||
Parent Country
|
String | ||
Year Founded
|
String | ||
String | 5,000,000,000 | Company Annual Revenue | |
String | 5,000,000,000 | Company Annual Revenue | |
Sales Reliability Code
|
String | ||
String | 10,000+ | Company Employee Count | |
Employees Reliability Code
|
String | ||
Ownership Type
|
String | ||
String | Contact Full Name | ||
String | Managing Director | Contact Job Title | |
String | Company Email Address | ||
String | https://www.linkedin.com/company/apple/ | Company LinkedIn | |
String | Advertising | Company Industry | |
Registration Number
|
String |
Description
Country Coverage
History
Volume
4 million | Company Data |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Not available |
Yearly License | Not available |
Usage-based |
€0.25 / record |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Restaurant Database Worldwide: 4M+ Restaurants, bars and cafes from 240 Countries, Expansion Opportunities?
Explore our database of 4M+ restaurants, including restaurants, bars, and cafes, across 240 countries, available in API or Excel format, customizable by country and sector.
What is Restaurant Database Worldwide: 4M+ Restaurants, bars and cafes from 240 Countries, Expansion Opportunities used for?
This product has 5 key use cases. Plugindata recommends using the data for Direct Marketing, Email Marketing, Sales Prospecting, B2B Sales, and Cold Calling. Global businesses and organizations buy B2B Leads Data from Plugindata to fuel their analytics and enrichment.
Who can use Restaurant Database Worldwide: 4M+ Restaurants, bars and cafes from 240 Countries, Expansion Opportunities?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for B2B Leads Data. Get in touch with Plugindata to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Restaurant Database Worldwide: 4M+ Restaurants, bars and cafes from 240 Countries, Expansion Opportunities go?
This product has 4 years of historical coverage. It can be delivered on a on-demand basis.
Which countries does Restaurant Database Worldwide: 4M+ Restaurants, bars and cafes from 240 Countries, Expansion Opportunities cover?
This product includes data covering 240 countries like USA, China, Japan, Germany, and India. Plugindata is headquartered in Romania.
How much does Restaurant Database Worldwide: 4M+ Restaurants, bars and cafes from 240 Countries, Expansion Opportunities cost?
Pricing for Restaurant Database Worldwide: 4M+ Restaurants, bars and cafes from 240 Countries, Expansion Opportunities starts at EUR0.25 per record. Connect with Plugindata to get a quote and arrange custom pricing models based on your data requirements.
How can I get Restaurant Database Worldwide: 4M+ Restaurants, bars and cafes from 240 Countries, Expansion Opportunities?
Businesses can buy B2B Leads Data from Plugindata and get the data via SFTP and Email. Depending on your data requirements and subscription budget, Plugindata can deliver this product in .json, .csv, and .xls format.
What is the data quality of Restaurant Database Worldwide: 4M+ Restaurants, bars and cafes from 240 Countries, Expansion Opportunities?
Plugindata has reported that this product has the following quality and accuracy assurances: 98% Quality Rate. You can compare and assess the data quality of Plugindata using Datarade’s data marketplace. Plugindata has received 1 review from clients.
What are similar products to Restaurant Database Worldwide: 4M+ Restaurants, bars and cafes from 240 Countries, Expansion Opportunities?
This product has 3 related products. These alternatives include Global B2B Prospect Data 720M LinkedIn Profiles Verified & Bi-Weekly Updates, B2B Contact Data from Company Website B2B Email Data, Phone Number Data, Social Links Real-Time API, and B2B Email Data 100% Verified Business Email Address 180M+ Contacts (Direct Dails) Decision Makers Direct Emails 16+ Attributes . You can compare the best B2B Leads Data providers and products via Datarade’s data marketplace and get the right data for your use case.