Geospatial Data: Places Data | Global | Location Data on 52M+ Places
| # | PLACEKEY |
LOCATION_NAME |
STREET_ADDRESS |
CITY |
REGION |
POSTAL_CODE |
SAFEGRAPH_BRAND_IDS |
BRANDS |
TOP_CATEGORY |
SUB_CATEGORY |
NAICS_CODE |
LATITUDE |
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 | |
|
LATITUDE
|
Float | 42.012161 | |
|
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
| 11 million | POI (Points of Interest) |
| 30 | Attributes |
| 7,800 | Brands |
Pricing
| License | Starts at |
|---|---|
| One-off purchase |
$0.10 / purchase |
| Monthly License | Not available |
| Yearly License |
$30,000 / year |
| Usage-based |
$0.10 / API call |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Geospatial Data: Places Data Global Location Data on 52M+ 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 52M+ Places used for?
This product has 5 key use cases. SafeGraph recommends using the data for Location Analytics, Retail, Point of Interest (POI) Mapping, Location Insights, and Product. 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 52M+ 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 52M+ Places cover?
This product includes data covering 3 countries like USA, United Kingdom, and Canada. SafeGraph is headquartered in United States of America.
How much does Geospatial Data: Places Data Global Location Data on 52M+ Places cost?
Pricing for Geospatial Data: Places Data Global Location Data on 52M+ 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 52M+ Places?
Businesses can buy Location Data from SafeGraph and get the data via S3 Bucket, UI Export, and REST API. 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 52M+ Places?
SafeGraph has reported that this product has the following quality and accuracy assurances: 97% Location accuracy. 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 Best Data Providers For Location-Based Marketing and Top 10 POI Data Providers & APIs.
What are similar products to Geospatial Data: Places Data Global Location Data on 52M+ Places?
This product has 3 related products. These alternatives include Market Research Data: Accurate Places Data Global Location Data on 52M+ Places, Xtract.io-Location data 3.5M+ POI data Places data US and Canada, and Geospatial Data Global Map data Administrative boundaries Global coverage 245k Polygons. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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