POI/ Point of Interest Data for all Businesses in Germany
# | UniqueID |
UniversalPublicationId |
DirectoryName |
PostCode |
Region |
WebDomain |
NationalID |
NationalIdentificationTypeCodeDescription |
NationalIDIsVat |
InternationalCode01 |
InternationalLabel01 |
MarketabilityIndicator |
YearStarted |
NumberOfFamilyMembers |
EmployeesHereReliabilityCodeDescription |
EmployeesTotalReliabilityCodeDescription |
EmployeesHere |
EmployeesTotal |
ImportExportAgentCodeDescription |
LegalStatusCodeDescription |
StatusCodeDescription |
SalesVolume |
SalesVolumeDollars |
SalesVolumeEuros |
CurrencyCode |
SalesVolumeReliabilityCodeDescription |
IsPublished |
GeoLevel |
GeoLevelDescription |
DomesticUltimateUniqueID |
DomesticUltimateStreetAddress |
DomesticUltimatePostalCode |
GlobalUltimateUniqueID |
GlobalUltimateStreetAddress |
GlobalUltimatePostalCode |
ParentUniqueID |
ParentStreetAddress |
ParentPostalCode |
FinancialHistory01UniqueID |
FinancialHistory01SalesVolume |
FinancialHistory01SalesVolumeDollars |
FinancialHistory01SalesVolumeEuros |
FinancialHistory01Currency |
FinancialHistory01EmployeesHere |
FinancialHistory01EmployeesTotal |
FinancialHistory01FamilyMembers |
FinancialHistory01SalesVolumeReliabilityCode |
FinancialHistory01SalesVolumeReliabilityCodeDescription |
FinancialHistory01EmployeesHereReliabilityCode |
FinancialHistory01EmployeesHereReliabilityCodeDescription |
FinancialHistory01EmployeesTotalReliabilityCode |
FinancialHistory01EmployeesTotalReliabilityCodeDescription |
FinancialHistory01YearStat |
FinancialHistory01Version |
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6 | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx |
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9 | xxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | xxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxxxx |
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Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
UniqueID
|
Float | 438056374.0 | |
UniversalPublicationId
|
String | DE102133176 | |
String | Martin Eitel | Company Name | |
String | Architekturbüro Martin Eitel | Company Trade Name | |
DirectoryName
|
String | Eitel Martin Architekturbüro | |
String | Address | ||
String | Address | ||
PostCode
|
Integer | 77716 | |
String | Haslach im Kinzigtal | City Name | |
String | Ortenaukreis | Province Name | |
Region
|
String | Baden-Württemberg | |
String | Germany | Country Name | |
String | GER | Language Name | |
String | Phone Number | ||
String | Fax Number | ||
String | Contact Mobile Phone Number | ||
String | Email Address | ||
String | https://architekt-eitel.de | Website | |
WebDomain
|
String | architekt-eitel.de | |
NationalID
|
String | DE185222340 | |
NationalIdentificationTypeCodeDescription
|
String | Europe Standard VAT Number | |
NationalIDIsVat
|
Boolean | t | |
InternationalCode01
|
Integer | 8712 | |
InternationalLabel01
|
String | Architectural services | |
MarketabilityIndicator
|
String | M | |
YearStarted
|
Integer | 1959 | |
NumberOfFamilyMembers
|
Integer | 0 | |
String | Contact Full Name | ||
String | Executive Board Member | Contact Job Title | |
String | Contact First Name | ||
String | Contact Last Name | ||
String | Contact Gender | ||
String | German | Language Name | |
EmployeesHereReliabilityCodeDescription
|
String | Estimated | |
EmployeesTotalReliabilityCodeDescription
|
String | Estimated | |
EmployeesHere
|
Integer | 8 | |
EmployeesTotal
|
Integer | 8 | |
ImportExportAgentCodeDescription
|
String | None or Not Available | |
LegalStatusCodeDescription
|
String | Proprietorship | |
StatusCodeDescription
|
String | SingleLocation | |
SalesVolume
|
Integer | 160000 | |
SalesVolumeDollars
|
Integer | 177443 | |
SalesVolumeEuros
|
Integer | 160000 | |
CurrencyCode
|
String | EUR | |
SalesVolumeReliabilityCodeDescription
|
String | Estimated | |
IsPublished
|
Boolean | t | |
Float | 8.0882184 | Longitude | |
Float | 48.27785655 | Latitude | |
GeoLevel
|
Integer | 4 | |
GeoLevelDescription
|
String | RoofTop | |
DomesticUltimateUniqueID
|
|||
String | Coca Cola | Company Name | |
DomesticUltimateStreetAddress
|
|||
String | Berlin | City Name | |
DomesticUltimatePostalCode
|
|||
String | Province Name | ||
String | United States of America | Country Name | |
String | US | Country Code Alpha-2 | |
GlobalUltimateUniqueID
|
|||
String | Coca Cola | Company Name | |
GlobalUltimateStreetAddress
|
|||
String | Berlin | City Name | |
GlobalUltimatePostalCode
|
|||
String | Province Name | ||
String | United States of America | Country Name | |
String | US | Country Code Alpha-2 | |
ParentUniqueID
|
|||
String | Coca Cola | Company Name | |
ParentStreetAddress
|
|||
String | Berlin | City Name | |
ParentPostalCode
|
|||
String | Province Name | ||
String | United States of America | Country Name | |
String | US | Country Code Alpha-2 | |
FinancialHistory01UniqueID
|
Float | 438056374.0 | |
FinancialHistory01SalesVolume
|
Integer | 160000 | |
FinancialHistory01SalesVolumeDollars
|
Integer | 188829 | |
FinancialHistory01SalesVolumeEuros
|
Integer | 160000 | |
FinancialHistory01Currency
|
String | EUR | |
FinancialHistory01EmployeesHere
|
Integer | 8 | |
FinancialHistory01EmployeesTotal
|
Integer | 8 | |
FinancialHistory01FamilyMembers
|
Integer | 0 | |
FinancialHistory01SalesVolumeReliabilityCode
|
Integer | 2 | |
FinancialHistory01SalesVolumeReliabilityCodeDescription
|
String | Estimated | |
FinancialHistory01EmployeesHereReliabilityCode
|
Integer | 2 | |
FinancialHistory01EmployeesHereReliabilityCodeDescription
|
String | Estimated | |
FinancialHistory01EmployeesTotalReliabilityCode
|
Integer | 2 | |
FinancialHistory01EmployeesTotalReliabilityCodeDescription
|
String | Estimated | |
FinancialHistory01YearStat
|
Integer | 2021 | |
FinancialHistory01Version
|
Integer | 20211027 |
Attribute | Type | Example | Mapping |
---|---|---|---|
String | 48.8373191/2.3911726 | Latitude-Longitude |
Description
Country Coverage
History
Volume
5.9 million | records |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is POI/ Point of Interest Data for all Businesses in Germany?
We cover all POI’s (Point of Interest) of businesses in Germany. Our POI’s cover all industries and are refreshed daily in-house
What is POI/ Point of Interest Data for all Businesses in Germany used for?
This product has 3 key use cases. Techsalerator recommends using the data for Business Intelligence (BI), Address Validation, and Address Data Enrichment. Global businesses and organizations buy Point of Interest (POI) Data from Techsalerator to fuel their analytics and enrichment.
Who can use POI/ Point of Interest Data for all Businesses in Germany?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Point of Interest (POI) Data. Get in touch with Techsalerator to see what their data can do for your business and find out which integrations they provide.
How far back does the data in POI/ Point of Interest Data for all Businesses in Germany go?
This product has 5 years of historical coverage.
Which countries does POI/ Point of Interest Data for all Businesses in Germany cover?
This product includes data covering 1 country like Germany. Techsalerator is headquartered in United States of America.
How much does POI/ Point of Interest Data for all Businesses in Germany cost?
Pricing information for POI/ Point of Interest Data for all Businesses in Germany is available by getting in contact with Techsalerator. Connect with Techsalerator to get a quote and arrange custom pricing models based on your data requirements.
How can I get POI/ Point of Interest Data for all Businesses in Germany?
Businesses can buy Point of Interest (POI) Data from Techsalerator and get the data via SFTP, Email, and Feed API. Depending on your data requirements and subscription budget, Techsalerator can deliver this product in .json, .csv, .xls, and .txt format.
What is the data quality of POI/ Point of Interest Data for all Businesses in Germany?
Techsalerator has reported that this product has the following quality and accuracy assurances: 99% accuracy. You can compare and assess the data quality of Techsalerator using Datarade’s data marketplace. Techsalerator has received 5 reviews from clients. Techsalerator appears on selected Datarade top lists ranking the best data providers, including 10 Best Data Providers for Customer Segmentation, 11 Best Data Providers for B2B CRM Enrichment, and Top 10 POI Data Providers & APIs.
What are similar products to POI/ Point of Interest Data for all Businesses in Germany?
This product has 3 related products. These alternatives include POI/ Point of Interest Data for all Businesses in Lebanon, The Data Appeal Point of Interest (POI) Data API, Dataset 251M Global POI Data Coverage from 2019, and Location Data All MTY Food Group Restaurant Locations in US Point of Interest (POI) Data. You can compare the best Point of Interest (POI) Data providers and products via Datarade’s data marketplace and get the right data for your use case.