Geospatial Data: Places Data | Global | Location Data on 56M+ Places
| # | PLACEKEY |
LOCATION_NAME |
STREET_ADDRESS |
CITY |
REGION |
POSTAL_CODE |
SAFEGRAPH_BRAND_IDS |
BRANDS |
TOP_CATEGORY |
SUB_CATEGORY |
NAICS_CODE |
LONGITUDE |
PHONE_NUMBER |
OPEN_HOURS |
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx |
| 2 | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx |
| 3 | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx |
| 4 | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
| 5 | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx |
| 6 | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx |
| 7 | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx |
| 8 | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
| 9 | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx |
| 10 | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx |
| ... | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
PLACEKEY
|
String | 222-222@62k-2ww-8n5 | |
|
LOCATION_NAME
|
String | Starbucks | |
|
STREET_ADDRESS
|
String | 182 Summer St | |
|
CITY
|
String | Kingston | |
|
REGION
|
String | MA | |
|
POSTAL_CODE
|
Integer | 2364 | |
|
SAFEGRAPH_BRAND_IDS
|
String | "SG_BRAND_f116acfe9147494063e58da666d1d57e" | |
|
BRANDS
|
String | "Starbucks" | |
|
TOP_CATEGORY
|
String | Restaurants and Other Eating Places | |
|
SUB_CATEGORY
|
String | Snack and Nonalcoholic Beverage Bars | |
|
NAICS_CODE
|
Integer | 722515 | |
| Float | 42.012161 | Latitude | |
|
LONGITUDE
|
Float | -70.732915 | |
|
PHONE_NUMBER
 |
Integer | ||
|
OPEN_HOURS
|
String | { "Fri": [ [ "5:00", "19:30" ] ],... |
| Attribute | Type | Example | Mapping |
|---|---|---|---|
| Float | 36.714767 | Latitude | |
| Float | -121.662912 | Longitude | |
| String | 441110 | Company NAICS Code | |
|
Category Tags
|
[Mexican Food,Casual Dining,Lunch,Dinner] | ||
|
Open Hours
|
{ "Mon": [["8:00", "22:00"]], "Tue": [["8:00", "13:00"], ... | ||
| String | Address | ||
| String | Walmart | Brand Name | |
| String | 222-222@222-222-222 | Placekey | |
| String | 223-223@222-222-222 | Placekey | |
| String | Salinas Valley Ford Lincoln | Location Name | |
|
Top Category
|
Automobile Dealers | ||
|
Sub Category
|
New Car Dealers | ||
| String | Irvine | City Name | |
|
Region
|
CA | ||
| String | 92602 | Postal Code | |
| String | US | Country Code Alpha-2 | |
| String | Phone Number | ||
|
Opened On
|
2019-10 | ||
|
Closed On
|
2020-03 | ||
|
Stock Symbol
|
F |
Description
Country Coverage
Volume
| 56 million | POI (Points of Interest) |
| 900 | Categories |
| 14,000 | Brands |
Pricing
| License | Starts at |
|---|---|
| One-off purchase |
$0.10 / purchase |
| Monthly License | Not available |
| Yearly License |
$30,000 / year |
| Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Geospatial Data: Places Data Global Location Data on 56M+ Places?
Geospatial data on information about points of interest (POI), such as brand, address, location, lat/log, open-hours, and NAICS category. This high-quality location data also includes open and close dates, category tags, and the Placekey universal identifier to easily join any other attributes.
What is Geospatial Data: Places Data Global Location Data on 56M+ Places used for?
This product has 4 key use cases. SafeGraph recommends using the data for Location Analytics, Retail, Point of Interest (POI) Mapping, and Location Insights. Global businesses and organizations buy Location Data from SafeGraph to fuel their analytics and enrichment.
Who can use Geospatial Data: Places Data Global Location Data on 56M+ Places?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Location Data. Get in touch with SafeGraph to see what their data can do for your business and find out which integrations they provide.
Which countries does Geospatial Data: Places Data Global Location Data on 56M+ Places cover?
This product includes data covering 250 countries like USA, China, Japan, Germany, and India. SafeGraph is headquartered in United States of America.
How much does Geospatial Data: Places Data Global Location Data on 56M+ Places cost?
Pricing for Geospatial Data: Places Data Global Location Data on 56M+ Places starts at USD0.10 per purchase. Connect with SafeGraph to get a quote and arrange custom pricing models based on your data requirements.
How can I get Geospatial Data: Places Data Global Location Data on 56M+ Places?
Businesses can buy Location Data from SafeGraph and get the data via S3 Bucket and Email. Depending on your data requirements and subscription budget, SafeGraph can deliver this product in .csv format.
What is the data quality of Geospatial Data: Places Data Global Location Data on 56M+ Places?
You can compare and assess the data quality of SafeGraph using Datarade’s data marketplace. SafeGraph has received 17 reviews from clients. SafeGraph appears on selected Datarade top lists ranking the best data providers, including Top 10 POI Data Providers & APIs and Best Data Providers For Location-Based Marketing.
What are similar products to Geospatial Data: Places Data Global Location Data on 56M+ Places?
This product has 3 related products. These alternatives include Location Data Global Location Data on 56M+ POI SafeGraph Places, Location Data 3.5M+ Points of Interest (POI) in US and Canada Places Data Comprehensive Coverage, and Geospatial Data 164M+ Global Places. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.
SafeGraph
We predict the past. SafeGraph is the place for data about the physical world.
Verified Provider
Trusted by
