
POI & Building Footprint Data | 38.8M+ Locations | US, France, UK, Germany, Spain & Italy
# | echo_poi_id |
poi_name |
brand |
tier1_category |
tier2_category |
business_status |
geo_h3_id_level_10 |
parent_organization |
opening_hours |
echo_building_id |
building_type |
building_name |
shape_type |
shape_polygon |
|||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx |
2 | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
3 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
4 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx |
5 | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx |
6 | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx |
7 | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx |
8 | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
9 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx |
10 | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx |
... | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
echo_poi_id
|
String | 5c493f1b-bfd0-429e-9eea-f94a0b135207-b1a68c91-8665-459a-a... | |
poi_name
|
String | Burger King Piding | |
brand
|
String | BURGER KING | |
tier1_category
|
String | food and dining | |
tier2_category
|
String | casual dining | |
business_status
|
String | NA | |
String | Address | ||
String | DE | Country Code Alpha-2 | |
Float | 47.7643776 | Latitude | |
Float | 12.9043962 | Longitude | |
geo_h3_id_level_10
|
String | 8a1f89a86347fff | |
parent_organization
|
String | Restaurant Brands International Inc | |
String | TSE: QSR | Stock Ticker | |
opening_hours
|
String | {"Tuesday": [{"from": "10:00 AM", "to": "10:00 PM"}], "We... | |
String | Phone Number | ||
String | http://www.burgerking.de/ | Website | |
echo_building_id
|
String | NA | |
building_type
|
String | NA | |
building_name
|
String | NA | |
shape_type
|
String | polygon | |
shape_polygon
|
String | POLYGON((12.9044903 47.7644402, 12.9043723 47.7643499, 12... |
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Carrefour Express | POI Name | |
String | Address | ||
String | 41.22/20.75 | Latitude-Longitude | |
Building Name
|
Example | ||
Shape Type
|
Example | ||
Shape Polygons
|
Example | ||
String | Example | Brand Name | |
Tier 1 Category
|
Example | ||
Tier 2 Category
|
Example | ||
Location Status
|
Example | ||
String | Example | Postal Code | |
String | Example | City Name | |
String | Example | Country Code Alpha-2 | |
Geo H3 Area ID
|
Example | ||
Last Updated Date
|
Example | ||
String | Example | Organization Name | |
String | Example | Stock Ticker | |
Text | Example | POI Opening Hours | |
String | Phone Number | ||
String | Example | Website | |
Building Type
|
Example | ||
Building Name
|
Example | ||
Shape Type
|
Example | ||
Shape Polygons
|
Example |
Description
Country Coverage
Volume
38 | Million |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is POI & Building Footprint Data 38.8M+ Locations US, France, UK, Germany, Spain & Italy?
Echo’s Building Footprint dataset links 38.8M+ POIs in Europe & the U.S. to precise polygons, enabling accurate mapping, analysis, and site planning.
What is POI & Building Footprint Data 38.8M+ Locations US, France, UK, Germany, Spain & Italy used for?
This product has 4 key use cases. Echo Analytics recommends using the data for Data Enrichment, Visit Attribution, Urban Planning, and Point of Interest (POI) Mapping. Global businesses and organizations buy Location Data from Echo Analytics to fuel their analytics and enrichment.
Who can use POI & Building Footprint Data 38.8M+ Locations US, France, UK, Germany, Spain & Italy?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Location Data. Get in touch with Echo Analytics to see what their data can do for your business and find out which integrations they provide.
Which countries does POI & Building Footprint Data 38.8M+ Locations US, France, UK, Germany, Spain & Italy cover?
This product includes data covering 6 countries like USA, Germany, UK, France, and Italy. Echo Analytics is headquartered in France.
How much does POI & Building Footprint Data 38.8M+ Locations US, France, UK, Germany, Spain & Italy cost?
Pricing information for POI & Building Footprint Data 38.8M+ Locations US, France, UK, Germany, Spain & Italy is available by getting in contact with Echo Analytics. Connect with Echo Analytics to get a quote and arrange custom pricing models based on your data requirements.
How can I get POI & Building Footprint Data 38.8M+ Locations US, France, UK, Germany, Spain & Italy?
Businesses can buy Location Data from Echo Analytics and get the data via S3 Bucket, SFTP, and Email. Depending on your data requirements and subscription budget, Echo Analytics can deliver this product in .json, .csv, and .xls format.
What is the data quality of POI & Building Footprint Data 38.8M+ Locations US, France, UK, Germany, Spain & Italy?
You can compare and assess the data quality of Echo Analytics using Datarade’s data marketplace. Echo Analytics has received 3 reviews from clients. Echo Analytics appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? August Edition.
What are similar products to POI & Building Footprint Data 38.8M+ Locations US, France, UK, Germany, Spain & Italy?
This product has 3 related products. These alternatives include POI & Building Footprint Data 11M+ Locations UK, France, Italy, Germany & Spain Point of Interest Data, Address Data Address Dataset for 52M+ locations SafeGraph Places, and The Data Appeal Business Location Data Point of Interest (POI) Data Map Data API, Dataset 200 Million + POI Data Mapped. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.