Germany Points of Interest (POI) Data

#	dataplor_id	parent_location	name	main_category	sub_category	sub_sub_category	business_category	naics_code	sic_code	chain_id	chain_name	parent_chain_path	chain_uuid_path	store_number	stock_ticker	phone	address	address2	h3_index	neighborhood	city	state	postal_code	country_code	country	latitude	longitude	dataplor_status	data_quality_confidence_score	open_closed_status	open_closed_status_confidence_score	opened_on	closed_on	website	monday_open	monday_close	tuesday_open	tuesday_close	wednesday_open	wednesday_close	thursday_open	thursday_close	friday_open	friday_close	saturday_open	saturday_close	sunday_open	sunday_close
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Volume

Business Records

Avail. Formats

.json and .csv

File

Coverage

Country

History

years

[Sample] dataplor_Germany_Sample.csv

Attribute	Type	Example	Mapping
dataplor_id	String	0052c3fc-6d5f-4b7f-bebb-d7c1ca198d2f	POI ID
parent_location	String
name	String	Reisebüro Flugbörse Dortmund-Aplerbeck	POI Name
main_category	String	travel	POI Category
sub_category	String	vacation_services	POI Sub-category
sub_sub_category	String		POI Sub-category
business_category	String	travel_agency	Product Category
naics_code	Float	561510	Company NAICS Code
sic_code	Float	4724	Company SIC Code
chain_id	String	12456789	Brand ID
chain_name	String	Coca Cola	Brand Name
parent_chain_path	String
chain_uuid_path	String
store_number	String
stock_ticker	String	AAPL	Stock Ticker
phone	String	###########	Phone Number
address	String	**********ß ##	Address
address2	String	# ****** , *****, #####, ***	Address
h3_index	String	8f1f12cd8a58489
neighborhood	String	Aplerbeck	Neighborhood Name
city	String	Dortmund	City Name
state	String	Nordrhein-Westfalen	State Name
postal_code	Integer	44287	Postal Code
country_code	String	de	Country Code Alpha-2
country	String	Germany	Country Name
latitude	Float	51.5050769	Latitude
longitude	Float	7.57065627	Longitude
dataplor_status	String	inactive
data_quality_confidence_score	String	0.7892535566
open_closed_status	String	permanently closed
open_closed_status_confidence_score	Float	0.75
opened_on	String	2019-07-20T00:00:00+00:00	POI Opening Hours
closed_on	String	2022-07-22T00:00:00+00:00	POI Opening Hours
website	String	https://www.xn--meinreisebro24-psb.com/rv/dcid/3054/dortm...	Website
monday_open	String	10:00	POI Opening Hours
monday_close	String	14:00	POI Opening Hours
tuesday_open	String	14:00	POI Opening Hours
tuesday_close	String	18:00	POI Opening Hours
wednesday_open	String	10:00	POI Opening Hours
wednesday_close	String	14:00	POI Opening Hours
thursday_open	String	14:00	POI Opening Hours
thursday_close	String	18:00	POI Opening Hours
friday_open	String	10:00	POI Opening Hours
friday_close	String	14:00	POI Opening Hours
saturday_open	String	10:00	POI Opening Hours
saturday_close	String	13:00	POI Opening Hours
sunday_open	String		POI Opening Hours
sunday_close	String		POI Opening Hours

Product Attributes

Attribute	Type	Example	Mapping
address	String	******** #	Address
address2	String	# ****** , *****, #####, ***	Address
business_category	String	car_dealer	Product Category
chain_id	String	ford	Company ID
chain_name	String	Ford	Company Name
city	String	Zell im Wiesental	City Name
closed_on	String
country	String	Germany	Country Name
county_code	String	de	Country Code Alpha-2
dataplor_id	String	e0e6be09-0f30-4f28-a92d-4822c1920f8c	POI ID
dataplor_status	String	active
data_quality_confidence_score	String	0.982
latitude	Float	47.71441	Latitude
longitude	Float	7.87391	Longitude
main_category	String	automotive_services	POI Category
naics_code	Float	441110	Company NAICS Code
name	String	Autohaus Maszurimm	POI Name
neighborhood	String	Nob Hill	Neighborhood Name
opened_on	String	2016-09-05
open_closed_status	String	open
open_closed_status_confidence_score	String	0.95
parent_location	String	c4811653-bf26-4fd2-85cf-0c89e28740a8	Placekey
phone	String	############	POI Telephone
postal_code	String	79669	Postal Code
sic_code	Float	5511	Company SIC Code
state	String	Baden-Württemberg	State Name
stock_ticker	String	NYSE:F	Stock Ticker
store_number	String		Location ID
sub_category	String	automobile	POI Sub-category
sub_sub_category	String	services	POI Sub-category

6M+ places and business across Germany: With dataplor's POI data, you're not just getting information—you're gaining a strategic advantage in one of Europe's most innovative and influential markets.

dataplor's Germany dataset provides an unparalleled, in-depth view of Points-of-Interest (POIs) across the country. This comprehensive resource is invaluable for businesses, organizations, and government agencies seeking to harness the power of geospatial data for informed decision-making and strategic planning. This dataset caters to a diverse range of applications, including: - Logistics & Supply Chain Optimization: Streamline deliveries, optimize routes across Germany's extensive autobahn network, and strategically position warehouses in key economic centers like Berlin, Hamburg, and Frankfurt. - Economic Development & Regional Planning: Identify emerging growth corridors, evaluate investment potential in thriving cities like Munich and Stuttgart, and allocate resources effectively based on hyper-local data. - Retail Expansion & Consumer Insights: Pinpoint ideal locations for new stores in bustling city centers or suburban areas, analyze consumer behavior in specific regions, and gain a competitive edge in Germany's retail landscape. - Sustainable Tourism & Environmental Protection: Develop eco-conscious tourism strategies, identify areas for conservation efforts, and protect Germany's natural treasures like the Bavarian Alps and the Black Forest. - Smart City Initiatives & Infrastructure Optimization: Enhance public transportation networks, streamline energy consumption, and create more livable urban environments in cities across Germany. - Financial Inclusion & Market Expansion: Identify underserved areas for financial services, evaluate credit needs, and expand access to banking in both urban and rural communities. - Government Services & Emergency Response: Improve service delivery, optimize emergency response routes, and allocate resources efficiently based on real-time data. -Social Impact & Policy Evaluation: Target social programs, measure their effectiveness, and track progress towards specific goals in areas like education, healthcare, and poverty reduction. - Urban Development & Growth Monitoring: Track changes in land use, population density, and infrastructure development over time to inform urban planning and policy decisions.

Europe (1)

Germany

20 years of historical data

6 million

Business Records

Free sample available

10% discount if you buy via Datarade

License	Starts at
One-off purchase	Not available
Monthly License	Not available
Yearly License	Not available
Usage-based	$0.09$0.08 / record

Request detailed pricing

Methods

Frequency

Format

Retail

Business Intelligence (BI)

Expansion Strategy Development

Local Economic Forecasting

Location Planning

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20 years of historical data

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19.2K records

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USA covered

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What is Germany Points of Interest (POI) Data?

6M+ places and business across Germany: With dataplor’s POI data, you’re not just getting information—you’re gaining a strategic advantage in one of Europe’s most innovative and influential markets.

What is Germany Points of Interest (POI) Data used for?

This product has 5 key use cases. dataplor recommends using the data for Retail, Business Intelligence (BI), Expansion Strategy Development, Local Economic Forecasting, and Location Planning. Global businesses and organizations buy Point of Interest (POI) Data from dataplor to fuel their analytics and enrichment.

Who can use Germany Points of Interest (POI) Data?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Point of Interest (POI) Data. Get in touch with dataplor to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Germany Points of Interest (POI) Data go?

This product has 20 years of historical coverage. It can be delivered on a weekly, monthly, real-time, and on-demand basis.

Which countries does Germany Points of Interest (POI) Data cover?

This product includes data covering 1 country like Germany. dataplor is headquartered in United States of America.

How much does Germany Points of Interest (POI) Data cost?

Pricing for Germany Points of Interest (POI) Data starts at USD0.09 per record. dataplor offers a 10% discount when you buy data from them through Datarade. Connect with dataplor to get a quote and arrange custom pricing models based on your data requirements.

How can I get Germany Points of Interest (POI) Data?

Businesses can buy Point of Interest (POI) Data from dataplor and get the data via S3 Bucket. Depending on your data requirements and subscription budget, dataplor can deliver this product in .json and .csv format.

What is the data quality of Germany Points of Interest (POI) Data?

You can compare and assess the data quality of dataplor using Datarade’s data marketplace. dataplor has received 3 reviews from clients.

What are similar products to Germany Points of Interest (POI) Data?

This product has 3 related products. These alternatives include Indonesia Points of Interest (POI) Data, SafeGraph Brand Data Global Coverage 52M+ Places, and Shopper Data Malls & Shopping Centers in US Point-of-Interest (POI) Analysis. 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.

Starts at

$0.09$0.08 / record

License	Starts at
One-off purchase	Not available
Monthly License	Not available
Yearly License	Not available
Usage-based	$0.09$0.08 / record

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Germany Points of Interest (POI) Data

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

dataplor
Globally scaled, dynamically updated and human-reviewed accurate location data.

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Germany Points of Interest (POI) Data

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

dataplor Globally scaled, dynamically updated and human-reviewed accurate location data.

Trusted by

dataplor
Globally scaled, dynamically updated and human-reviewed accurate location data.