BestPlace | Point-of-Interest POI Data | Ratings | Footfall | Census | Geospatial data | Shopper Patterns | Worldwide

#	BP_id	BP_name	BP_address	street	postcode	city	latitude	longitude	BP_detailed_outlet_type	final_outlet_type	BP_categories	rating_score	review_count	url	last_review_date	days_from_last_review	existence_confidence_level	chain_name	monday_work_start	monday_break_start	monday_break_end	monday_work_end	tuesday_work_start	tuesday_break_start	tuesday_break_end	tuesday_work_end	wednesday_work_start	wednesday_break_start	wednesday_break_end	wednesday_work_end	thursday_work_start	thursday_break_start	thursday_break_end	thursday_work_end	friday_work_start	friday_break_start	friday_break_end	friday_work_end	saturday_work_start	saturday_break_start	saturday_break_end	saturday_work_end	sunday_work_start	sunday_break_start	sunday_break_end	sunday_work_end	number of bus stops in 5 min walk	number of bus stops in 50 m radius	number of bus stops in 100 m radius	number of bus stops in 200 m radius	distance to the nearest bus stop (in 500 m radius)	number of train stations in 5 min walk	number of train stations in 50 m radius	number of train stations in 100 m radius	number of train stations in 200 m radius	number of train stations in 300 m radius	number of train stations in 500 m radius	distance to the nearest train station (in 500 m radius)	number of metro stations in 5 min walk	number of metro stations in 50 m radius	number of metro stations in 100 m radius	number of metro stations in 200 m radius	number of metro stations in 300 m radius	number of metro stations in 500 m radius	distance to the nearest metro station (in 500 m radius)	number of restaurants in 5 min walk	number of restaurants in 50 m radius	number of restaurants in 100 m radius	number of restaurants in 200 m radius	number of restaurants in 300 m radius	number of restaurants in 500 m radius	distance to the nearest restaurant (in 500 m radius)	number of cafes in 5 min walk	number of cafes in 50 m radius	number of cafes in 100 m radius	number of cafes in 200 m radius	number of cafes in 300 m radius	number of cafes in 500 m radius	distance to the nearest cafe (in 500 m radius)	number of bars/pubs/clubs in 5 min walk	number of bars/pubs/clubs in 50 m radius	number of bars/pubs/clubs in 100 m radius	number of bars/pubs/clubs in 200 m radius	number of bars/pubs/clubs in 300 m radius	number of bars/pubs/clubs in 500 m radius	distance to the nearest bar/pub/club (in 500 m radius)	number of hotels in 5 min walk	number of hotels in 50 m radius	number of hotels in 100 m radius	number of hotels in 200 m radius	number of hotels in 300 m radius	number of hotels in 500 m radius	distance to the nearest hotel (in 500 m radius)	number of hostels in 5 min walk	number of hostels in 50 m radius	number of hostels in 100 m radius	number of hostels in 200 m radius	number of hostels in 300 m radius	number of hostels in 500 m radius	distance to the nearest hostel (in 500 m radius)	number of malls in 5 min walk	number of malls in 50 m radius	number of malls in 100 m radius	number of malls in 200 m radius	number of malls in 300 m radius	number of malls in 500 m radius	distance to the nearest mall (in 500 m radius)	number of business centers in 5 min walk	number of business centers in 50 m radius	number of business centers in 100 m radius	number of business centers in 200 m radius	number of business centers in 300 m radius	number of business centers in 500 m radius	distance to the nearest business center (in 500 m radius)	number of fitness/gyms in 5 min walk	number of fitness/gyms in 50 m radius	number of fitness/gyms in 100 m radius	number of fitness/gyms in 200 m radius	number of fitness/gyms in 300 m radius	number of fitness/gyms in 500 m radius	distance to the nearest fitness/gym (in 500 m radius)	number of swimming pools in 5 min walk	number of swimming pools in 50 m radius	number of swimming pools in 100 m radius	number of swimming pools in 200 m radius	number of swimming pools in 300 m radius	number of swimming pools in 500 m radius	distance to the nearest swimming pool (in 500 m radius)	number of stadiums in 5 min walk	number of stadiums in 50 m radius	number of stadiums in 100 m radius	number of stadiums in 200 m radius	number of stadiums in 300 m radius	number of stadiums in 500 m radius	distance to the nearest stadium (in 500 m radius)	number of parks in 5 min walk	number of parks in 50 m radius	number of parks in 100 m radius	number of parks in 200 m radius	number of parks in 300 m radius	number of parks in 500 m radius	distance to the nearest park (in 500 m radius)	number of beachs in 5 min walk	number of beachs in 50 m radius	number of beachs in 100 m radius	number of beachs in 200 m radius	number of beachs in 300 m radius	number of beachs in 500 m radius	distance to the nearest beach (in 500 m radius)	number of SPA in 5 min walk	number of SPA in 50 m radius	number of SPA in 100 m radius	number of SPA in 200 m radius	number of SPA in 300 m radius	number of SPA in 500 m radius	distance to the nearest SPA (in 500 m radius)	number of wellness centers in 5 min walk	number of wellness centers in 50 m radius	number of wellness centers in 100 m radius	number of wellness centers in 200 m radius	number of wellness centers in 300 m radius	number of wellness centers in 500 m radius	distance to the nearest wellness center (in 500 m radius)	number of cinemas in 5 min walk	number of cinemas in 50 m radius	number of cinemas in 100 m radius	number of cinemas in 200 m radius	number of cinemas in 300 m radius	number of cinemas in 500 m radius	distance to the nearest cinema (in 500 m radius)	number of universities in 5 min walk	number of universities in 50 m radius	number of universities in 100 m radius	number of universities in 200 m radius	number of universities in 300 m radius	number of universities in 500 m radius	distance to the nearest university (in 500 m radius)	number of schools/kindergartens in 5 min walk	number of schools/kindergartens in 50 m radius	number of schools/kindergartens in 100 m radius	number of schools/kindergartens in 200 m radius	number of schools/kindergartens in 300 m radius	number of schools/kindergartens in 500 m radius	distance to the nearest school/kindergarten (in 500 m radius)	number of households in 5 min walk	number of households in 50 m radius	number of households in 100 m radius	number of households in 200 m radius	number of households in 300 m radius	number of households in 500 m radius	maximum total footfall intensity in 30 m radius	maximum transport - office footfall intensity in 30 m radius	maximum transport - educational footfall intensity in 30 m radius	maximum transport - horeca footfall intensity in 30 m radius	maximum transport - foodstore footfall intensity in 30 m radius	maximum transport - sport footfall intensity in 30 m radius	maximum residential - transport footfall intensity in 30 m radius	maximum residential - office footfall intensity in 30 m radius	maximum residential - educational footfall intensity in 30 m radius	maximum residential - horeca footfall intensity in 30 m radius	maximum residential - foodstore footfall intensity in 30 m radius	maximum residential - sport footfall intensity in 30 m radius	maximum total footfall intensity in 50 m radius	maximum transport - office footfall intensity in 50 m radius	maximum transport - educational footfall intensity in 50 m radius	maximum transport - horeca footfall intensity in 50 m radius	maximum transport - foodstore footfall intensity in 50 m radius	maximum transport - sport footfall intensity in 50 m radius	maximum residential - transport footfall intensity in 50 m radius	maximum residential - office footfall intensity in 50 m radius	maximum residential - educational footfall intensity in 50 m radius	maximum residential - horeca footfall intensity in 50 m radius	maximum residential - foodstore footfall intensity in 50 m radius	maximum residential - sport footfall intensity in 50 m radius	unique_users_overall	unique_days_overall	mean_of_daily_unique_users	sum_of_daily_unique_users	sum_of_daily_unique_users_gte2	mean_of_daily_unique_users_gte2	sum_of_daily_unique_users_gte3	mean_of_daily_unique_users_gte3	sum_of_users_with_2_tracks_in_1_hours	mean_of_users_with_2_tracks_in_1_hours	sum_of_users_with_3_tracks_in_1_hours	mean_of_users_with_3_tracks_in_1_hours	sum_of_users_with_3_tracks_in_2_hours	mean_of_users_with_3_tracks_in_2_hours
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Volume

200

Sources of data

Data Quality

100%

Feature cover

Avail. Formats

.json, .csv, and .xls

File

Coverage

114

Countries

History

years

[Sample] Germany_POI_location_sample.csv

Attribute	Type	Example
BP_id	Integer	1003445892
BP_name	String	German post office
BP_address	String	Henighuser Str. 2, 31311 Uetze
street	String	Henighuser Str. 2
postcode	Integer	31311
city	String	Uetze
latitude	Float	52.4830319999999
longitude	Float	10.0938781
BP_detailed_outlet_type	String	Post office
final_outlet_type	String	Post office
BP_categories	String	Post office, Mailing service, Shipping and mailing servic...
rating_score	Float	3.5
review_count	Integer	26
url	String	https://www.deutschepost.de/de/s/standorte.html?objectid=...
last_review_date	String	01/02/2022
days_from_last_review	Integer	295
existence_confidence_level	Float	0.4450000000000001
chain_name	String	post
monday_work_start	Float	8.5
monday_break_start	Float	12.5
monday_break_end	Float	14.5
monday_work_end	Float	18.0
tuesday_work_start	Float	8.5
tuesday_break_start	Float	12.5
tuesday_break_end	Float	14.5
tuesday_work_end	Float	18.0
wednesday_work_start	Float	8.5
wednesday_break_start	Float	12.5
wednesday_break_end	Float	14.5
wednesday_work_end	Float	18.0
thursday_work_start	Float	8.5
thursday_break_start	Float	12.5
thursday_break_end	Float	14.5
thursday_work_end	Float	18.0
friday_work_start	Float	8.5
friday_break_start	Float	12.5
friday_break_end	Float	14.5
friday_work_end	Float	18.0
saturday_work_start	Float	8.5
saturday_break_start
saturday_break_end
saturday_work_end	Float	12.5
sunday_work_start
sunday_break_start
sunday_break_end
sunday_work_end
number of bus stops in 5 min walk	Integer	3
number of bus stops in 50 m radius	Integer	0
number of bus stops in 100 m radius	Integer	0
number of bus stops in 200 m radius	Integer	0
distance to the nearest bus stop (in 500 m radius)	Integer	219
number of train stations in 5 min walk	Integer	0
number of train stations in 50 m radius	Integer	0
number of train stations in 100 m radius	Integer	0
number of train stations in 200 m radius	Integer	0
number of train stations in 300 m radius	Integer	0
number of train stations in 500 m radius	Integer	0
distance to the nearest train station (in 500 m radius)	Integer	1000
number of metro stations in 5 min walk	Integer	0
number of metro stations in 50 m radius	Integer	0
number of metro stations in 100 m radius	Integer	0
number of metro stations in 200 m radius	Integer	0
number of metro stations in 300 m radius	Integer	0
number of metro stations in 500 m radius	Integer	0
distance to the nearest metro station (in 500 m radius)	Integer	1000
number of restaurants in 5 min walk	Integer	3
number of restaurants in 50 m radius	Integer	0
number of restaurants in 100 m radius	Integer	2
number of restaurants in 200 m radius	Integer	2
number of restaurants in 300 m radius	Integer	3
number of restaurants in 500 m radius	Integer	3
distance to the nearest restaurant (in 500 m radius)	Integer	96
number of cafes in 5 min walk	Integer	0
number of cafes in 50 m radius	Integer	0
number of cafes in 100 m radius	Integer	0
number of cafes in 200 m radius	Integer	0
number of cafes in 300 m radius	Integer	0
number of cafes in 500 m radius	Integer	0
distance to the nearest cafe (in 500 m radius)	Integer	1000
number of bars/pubs/clubs in 5 min walk	Integer	1
number of bars/pubs/clubs in 50 m radius	Integer	0
number of bars/pubs/clubs in 100 m radius	Integer	1
number of bars/pubs/clubs in 200 m radius	Integer	1
number of bars/pubs/clubs in 300 m radius	Integer	1
number of bars/pubs/clubs in 500 m radius	Integer	1
distance to the nearest bar/pub/club (in 500 m radius)	Integer	85
number of hotels in 5 min walk	Integer	1
number of hotels in 50 m radius	Integer	0
number of hotels in 100 m radius	Integer	0
number of hotels in 200 m radius	Integer	0
number of hotels in 300 m radius	Integer	1
number of hotels in 500 m radius	Integer	1
distance to the nearest hotel (in 500 m radius)	Integer	273
number of hostels in 5 min walk	Integer	0
number of hostels in 50 m radius	Integer	0
number of hostels in 100 m radius	Integer	0
number of hostels in 200 m radius	Integer	0
number of hostels in 300 m radius	Integer	0
number of hostels in 500 m radius	Integer	0
distance to the nearest hostel (in 500 m radius)	Integer	1000
number of malls in 5 min walk	Integer	0
number of malls in 50 m radius	Integer	0
number of malls in 100 m radius	Integer	0
number of malls in 200 m radius	Integer	0
number of malls in 300 m radius	Integer	0
number of malls in 500 m radius	Integer	0
distance to the nearest mall (in 500 m radius)	Integer	1000
number of business centers in 5 min walk	Integer	0
number of business centers in 50 m radius	Integer	0
number of business centers in 100 m radius	Integer	0
number of business centers in 200 m radius	Integer	0
number of business centers in 300 m radius	Integer	0
number of business centers in 500 m radius	Integer	0
distance to the nearest business center (in 500 m radius)	Integer	1000
number of fitness/gyms in 5 min walk	Integer	0
number of fitness/gyms in 50 m radius	Integer	0
number of fitness/gyms in 100 m radius	Integer	0
number of fitness/gyms in 200 m radius	Integer	0
number of fitness/gyms in 300 m radius	Integer	0
number of fitness/gyms in 500 m radius	Integer	2
distance to the nearest fitness/gym (in 500 m radius)	Integer	411
number of swimming pools in 5 min walk	Integer	0
number of swimming pools in 50 m radius	Integer	0
number of swimming pools in 100 m radius	Integer	0
number of swimming pools in 200 m radius	Integer	0
number of swimming pools in 300 m radius	Integer	0
number of swimming pools in 500 m radius	Integer	0
distance to the nearest swimming pool (in 500 m radius)	Integer	1000
number of stadiums in 5 min walk	Integer	0
number of stadiums in 50 m radius	Integer	0
number of stadiums in 100 m radius	Integer	0
number of stadiums in 200 m radius	Integer	0
number of stadiums in 300 m radius	Integer	0
number of stadiums in 500 m radius	Integer	0
distance to the nearest stadium (in 500 m radius)	Integer	1000
number of parks in 5 min walk	Integer	0
number of parks in 50 m radius	Integer	0
number of parks in 100 m radius	Integer	0
number of parks in 200 m radius	Integer	0
number of parks in 300 m radius	Integer	0
number of parks in 500 m radius	Integer	0
distance to the nearest park (in 500 m radius)	Integer	1000
number of beachs in 5 min walk	Integer	0
number of beachs in 50 m radius	Integer	0
number of beachs in 100 m radius	Integer	0
number of beachs in 200 m radius	Integer	0
number of beachs in 300 m radius	Integer	0
number of beachs in 500 m radius	Integer	0
distance to the nearest beach (in 500 m radius)	Integer	1000
number of SPA in 5 min walk	Integer	0
number of SPA in 50 m radius	Integer	0
number of SPA in 100 m radius	Integer	0
number of SPA in 200 m radius	Integer	0
number of SPA in 300 m radius	Integer	0
number of SPA in 500 m radius	Integer	0
distance to the nearest SPA (in 500 m radius)	Integer	1000
number of wellness centers in 5 min walk	Integer	0
number of wellness centers in 50 m radius	Integer	0
number of wellness centers in 100 m radius	Integer	0
number of wellness centers in 200 m radius	Integer	0
number of wellness centers in 300 m radius	Integer	0
number of wellness centers in 500 m radius	Integer	0
distance to the nearest wellness center (in 500 m radius)	Integer	1000
number of cinemas in 5 min walk	Integer	0
number of cinemas in 50 m radius	Integer	0
number of cinemas in 100 m radius	Integer	0
number of cinemas in 200 m radius	Integer	0
number of cinemas in 300 m radius	Integer	0
number of cinemas in 500 m radius	Integer	0
distance to the nearest cinema (in 500 m radius)	Integer	1000
number of universities in 5 min walk	Integer	0
number of universities in 50 m radius	Integer	0
number of universities in 100 m radius	Integer	0
number of universities in 200 m radius	Integer	0
number of universities in 300 m radius	Integer	0
number of universities in 500 m radius	Integer	0
distance to the nearest university (in 500 m radius)	Integer	1000
number of schools/kindergartens in 5 min walk	Integer	0
number of schools/kindergartens in 50 m radius	Integer	0
number of schools/kindergartens in 100 m radius	Integer	0
number of schools/kindergartens in 200 m radius	Integer	0
number of schools/kindergartens in 300 m radius	Integer	0
number of schools/kindergartens in 500 m radius	Integer	3
distance to the nearest school/kindergarten (in 500 m radius)	Integer	363
number of households in 5 min walk	Float	593.0
number of households in 50 m radius	Float	23.0
number of households in 100 m radius	Float	92.0
number of households in 200 m radius	Float	312.0
number of households in 300 m radius	Integer	698
number of households in 500 m radius	Integer	1631
maximum total footfall intensity in 30 m radius	Float	366.0
maximum transport - office footfall intensity in 30 m radius	Float	0.0
maximum transport - educational footfall intensity in 30 m radius	Float	0.0
maximum transport - horeca footfall intensity in 30 m radius	Float	0.0
maximum transport - foodstore footfall intensity in 30 m radius	Float	0.0
maximum transport - sport footfall intensity in 30 m radius	Float	276.0
maximum residential - transport footfall intensity in 30 m radius	Float	14.0
maximum residential - office footfall intensity in 30 m radius	Float	0.0
maximum residential - educational footfall intensity in 30 m radius	Float	30.0
maximum residential - horeca footfall intensity in 30 m radius	Float	0.0
maximum residential - foodstore footfall intensity in 30 m radius	Float	48.0
maximum residential - sport footfall intensity in 30 m radius	Float	0.0
maximum total footfall intensity in 50 m radius	Float	572.0
maximum transport - office footfall intensity in 50 m radius	Float	0.0
maximum transport - educational footfall intensity in 50 m radius	Float	0.0
maximum transport - horeca footfall intensity in 50 m radius	Float	0.0
maximum transport - foodstore footfall intensity in 50 m radius	Float	0.0
maximum transport - sport footfall intensity in 50 m radius	Float	276.0
maximum residential - transport footfall intensity in 50 m radius	Float	30.0
maximum residential - office footfall intensity in 50 m radius	Float	0.0
maximum residential - educational footfall intensity in 50 m radius	Float	40.0
maximum residential - horeca footfall intensity in 50 m radius	Float	118.0
maximum residential - foodstore footfall intensity in 50 m radius	Float	210.0
maximum residential - sport footfall intensity in 50 m radius	Float	14.0
unique_users_overall	Integer	811
unique_days_overall	Integer	334
mean_of_daily_unique_users	Float	5.473972602739726
sum_of_daily_unique_users	Integer	1998
sum_of_daily_unique_users_gte2	Integer	633
mean_of_daily_unique_users_gte2	Float	1.734246575342466
sum_of_daily_unique_users_gte3	Integer	415
mean_of_daily_unique_users_gte3	Float	1.136986301369863
sum_of_users_with_2_tracks_in_1_hours	Integer	581
mean_of_users_with_2_tracks_in_1_hours	Float	1.591780821917808
sum_of_users_with_3_tracks_in_1_hours	Integer	384
mean_of_users_with_3_tracks_in_1_hours	Float	1.052054794520548
sum_of_users_with_3_tracks_in_2_hours	Integer	389
mean_of_users_with_3_tracks_in_2_hours	Float	1.065753424657534

Product Attributes

Attribute	Type	Example	Mapping
BP_name	String	German post office	Location Name
BP_address	String	******** . #, ##### ****	Address
longitude	Float	10,0938781	Longitude
latitude	Float	52,483032	Latitude
final_outlet_type	String	Post office	POI Category
BP_categories	String	Post office, Mailing service, Shipping and mailing servic...	POI Category
rating_score	Float	3.9
review_number	Integer	21
existence_confidence_level	Float	0.5
url	String	https://www.deutschepost.de/de/s/standorte.html?objectid=...	Website
distance to the nearest bar/pub/club	Integer	85
number of households in 5 min walk	Integer	348

Points of Interest data enriched with the Generic Location information; POI information; Census data; Geospatial features; Footfall and Transport intensity; Visitation index. Worldwide coverage with a customisation on request.

Point of Interest (POI) data collected from the range of sources and digested by the team of data analysts. The product includes the mapping of the existing database, POI categories customisation based on the requests and enrichment with more than 100 features. The product could be applied in several use cases including: - Competition analysis - New location search - Location comparison - Distribution optimisation - Building Machine Learning models to integrate them into business decision processes The delivery includes: - Generic Location information (Address, Latitude, Longitude, etc.) - POI information (Name, Ratings, Work Hours, Website, etc.) - Census data (Number of households, Average income) - Geospatial features (Competitors number, POI number by category, Distance to the key points in surrounding area) - Footfall and Transport intensity (Including the classification by destination - Office workers, Students, Shoppers, etc.) - Visitation index based on the measurements

Africa (10)

Algeria

Cameroon

Congo

Côte d'Ivoire

Egypt

Mauritius

Morocco

Nigeria

South Africa

Tunisia

Asia (35)

Armenia

Azerbaijan

Bahrain

Bangladesh

Cambodia

Cyprus

Georgia

Hong Kong

India

Indonesia

Israel

Japan

Jordan

Kazakhstan

Korea (Republic of)

Kuwait

Kyrgyzstan

Lebanon

Malaysia

Mongolia

Oman

Pakistan

Philippines

Qatar

Saudi Arabia

Singapore

Sri Lanka

Taiwan

Tajikistan

Thailand

Turkey

United Arab Emirates

Uzbekistan

Vietnam

Yemen

Europe (49)

Albania

Andorra

Austria

Belarus

Belgium

Bosnia and Herzegovina

Bulgaria

Croatia

Czech Republic

Denmark

Estonia

Faroe Islands

Finland

France

Germany

Gibraltar

Greece

Guernsey

Holy See

Hungary

Iceland

Ireland

Isle of Man

Italy

Jersey

Latvia

Liechtenstein

Lithuania

Luxembourg

Macedonia (the former Yugoslav Republic of)

Malta

Moldova (Republic of)

Monaco

Montenegro

Netherlands

Norway

Poland

Portugal

Romania

San Marino

Serbia

Slovakia

Slovenia

Spain

Svalbard and Jan Mayen

Sweden

Switzerland

United Kingdom

Åland Islands

North America (6)

Canada

Costa Rica

Mexico

Nicaragua

Panama

United States of America

Oceania (2)

Australia

New Zealand

South America (12)

Argentina

Bolivia (Plurinational State of)

Brazil

Chile

Colombia

Ecuador

Jamaica

Paraguay

Peru

Puerto Rico

Uruguay

Venezuela (Bolivarian Republic of)

1 years of historical data

200	Sources of data
50	Million POI

Free sample available

License	Starts at
One-off purchase	Available
Monthly License	Available
Yearly License	Available
Usage-based	Available

Request detailed pricing

Self-reported by the provider

100%

Feature cover

Methods

Frequency

Format

Location Analytics

Data-Efficient Machine Learning

Audience Activation B2B Data Enrichment Location Insights

Foot Traffic Data Point of Interest (POI) Data GIS Data Retail Data Census Data

320 Billion Pieces of Online Content Analyzed Each Day

80% match rate

249 countries covered

Contact our team to harness the power of Company Data and Point of Interest (POI) Data solutions! Unlock unparalleled insights with our GIS Data. Explore Bus...

155M Records

76 countries covered

20 years of historical data

dataplor's Asia, APAC and Oceania Point of Interest dataset covers 155M+ POIs across 80 countries and territories, making it the most comprehensive location ...

400 records

95% Accuracy

20 countries covered

This product consists of point-of-interest data for the top 400 Malls and Shopping centers in European Union

140 Different attributes/columns

100% Match Rate

249 countries covered

The Point of Interest (POI Data) includes details of businesses, landmarks (e.g., restaurants, hospitals, EV charging stations, grocery stores, supermarkets,...

What is BestPlace Point-of-Interest POI Data Ratings Footfall Census Geospatial data Shopper Patterns Worldwide?

What is BestPlace Point-of-Interest POI Data Ratings Footfall Census Geospatial data Shopper Patterns Worldwide used for?

This product has 5 key use cases. BestPlace recommends using the data for Location Analytics, Data-Efficient Machine Learning, Audience Activation, B2B Data Enrichment, and Location Insights. Global businesses and organizations buy Foot Traffic Data from BestPlace to fuel their analytics and enrichment.

Who can use BestPlace Point-of-Interest POI Data Ratings Footfall Census Geospatial data Shopper Patterns Worldwide?

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

How far back does the data in BestPlace Point-of-Interest POI Data Ratings Footfall Census Geospatial data Shopper Patterns Worldwide go?

This product has 1 years of historical coverage. It can be delivered on a monthly, quarterly, yearly, and on-demand basis.

Which countries does BestPlace Point-of-Interest POI Data Ratings Footfall Census Geospatial data Shopper Patterns Worldwide cover?

This product includes data covering 114 countries like USA, Japan, Germany, India, and United Kingdom. BestPlace is headquartered in United States of America.

How much does BestPlace Point-of-Interest POI Data Ratings Footfall Census Geospatial data Shopper Patterns Worldwide cost?

Pricing information for BestPlace Point-of-Interest POI Data Ratings Footfall Census Geospatial data Shopper Patterns Worldwide is available by getting in contact with BestPlace. Connect with BestPlace to get a quote and arrange custom pricing models based on your data requirements.

How can I get BestPlace Point-of-Interest POI Data Ratings Footfall Census Geospatial data Shopper Patterns Worldwide?

Businesses can buy Foot Traffic Data from BestPlace and get the data via S3 Bucket, Email, and UI Export. Depending on your data requirements and subscription budget, BestPlace can deliver this product in .json, .csv, .xls, and .txt format.

What is the data quality of BestPlace Point-of-Interest POI Data Ratings Footfall Census Geospatial data Shopper Patterns Worldwide?

BestPlace has reported that this product has the following quality and accuracy assurances: 100% Feature cover. You can compare and assess the data quality of BestPlace using Datarade’s data marketplace.

What are similar products to BestPlace Point-of-Interest POI Data Ratings Footfall Census Geospatial data Shopper Patterns Worldwide?

This product has 3 related products. These alternatives include The Data Appeal Company Data API, Dataset 251M POI Data Mapped Coverage from 2019 Estimate POI Sentiment and Footfall, Asia, APAC & Oceania Points of Interest (POI) Data, and Xtract.io - Point-of-Interest (POI) Data Top 400 Malls and Shopping Centers in European Union. You can compare the best Foot Traffic Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request

License	Starts at
One-off purchase	Available
Monthly License	Available
Yearly License	Available
Usage-based	Available

Verified Provider

BestPlace | Point-of-Interest POI Data | Ratings | Footfall | Census | Geospatial data | Shopper Patterns | Worldwide

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

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Frequently asked questions

BestPlace
Grow your sales in the rapidly changing environment

BestPlace | Point-of-Interest POI Data | Ratings | Footfall | Census | Geospatial data | Shopper Patterns | Worldwide

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

BestPlace Grow your sales in the rapidly changing environment

BestPlace
Grow your sales in the rapidly changing environment