Commercial Real Estate Data | 52M+ POI | SafeGraph Property Dataset
| # | 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
History
Volume
| 7,800 | Brands |
| 30 | Attributes |
| 11 million | POI (Points of Interest) |
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
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Commercial Real Estate Data 52M+ POI SafeGraph Property Dataset?
Commercial Real Estate, such as store, brand, address, location, lat/log, open-hours, and NAICS category. This high-quality property data also includes open and close dates, category tags, and the Placekey universal identifier to easily join any other attributes.
What is Commercial Real Estate Data 52M+ POI SafeGraph Property Dataset used for?
This product has 5 key use cases. SafeGraph recommends using the data for Location Analytics, Retail, Store Visit Attribution, 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 Commercial Real Estate Data 52M+ POI SafeGraph Property Dataset?
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.
How far back does the data in Commercial Real Estate Data 52M+ POI SafeGraph Property Dataset go?
This product has 2 years of historical coverage. It can be delivered on a monthly and on-demand basis.
Which countries does Commercial Real Estate Data 52M+ POI SafeGraph Property Dataset cover?
This product includes data covering 182 countries like USA, China, Japan, Germany, and India. SafeGraph is headquartered in United States of America.
How much does Commercial Real Estate Data 52M+ POI SafeGraph Property Dataset cost?
Pricing for Commercial Real Estate Data 52M+ POI SafeGraph Property Dataset 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 Commercial Real Estate Data 52M+ POI SafeGraph Property Dataset?
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 Commercial Real Estate Data 52M+ POI SafeGraph Property Dataset?
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 Commercial Real Estate Data 52M+ POI SafeGraph Property Dataset?
This product has 3 related products. These alternatives include Commercial Property Data 52M+ POI SafeGraph Property Dataset, The Data Appeal Location Data, Point of Interest (POI) Data and Map Data API, Dataset 200 Million + POI Data Mapped Coverage from 2019, and Grepsr Comprehensive Dataset of Fast-food Chains’ Store (Starbucks, Mcdonalds, Subway, & more) Location. 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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