POI (point of interest) dataset containing geolocation and business listing information such as location name, street address, industry, lat/long and brand. Covers locations for major retail chains, local businesses, convenience stores, hotels, airports, schools, hospitals & more. Dataset contains more than 5.5MM United States POI across all categories and over 5,500 recognized brands.
Places is a dataset containing geolocation and business listing information about points-of-interest (POI) such as location name, street address, industry, latitude/longitude and brand. Covers locations for major retail chains, local businesses, convenience stores, hotels, airports, schools, hospitals & more. Dataset contains more than 5.5MM United States POI across all categories and over 5,500 recognized unique brands.
Long description:
Places - Entire US
Places is a dataset containing business listing information about points-of-interest (POI) such as:
Location name
Postal code
Latitude and longitude
NAICS codes
Open hours
Street address, city, and region
Brands
Covers locations for public and private companies, major retail chains, local businesses, convenience stores, hotels, airports, schools, hospitals & more. Dataset contains more than 5.5MM United States POI across all categories and over 5,500 recognized brands.
Noisy locations are removed (ATMs, Redbox kiosks, etc.). Closed stores and irrelevant businesses (like home-based LLCs with no employees) are filtered out.
Use Cases and Guides
Here is a demo Databricks notebook(.dbc download here) that shows examples of the powerful analytics that are possible using SafeGraph Patterns data, SafeGraph Places, and Open Census Data.
Even though our documentation site includes detailed information for all of our products, this product listing specifically only includes the Places data set.
Additional Information
All SafeGraph POI-based datasets utilize Placekey as the primary key and are formatted as delimited CSVs.
SafeGraph updates the dataset every month with the past month's openings and closings.
Dataset covers all of US.
Dataset is delivered as set of CSV files.
Number of companies/brands covered: over 5,500 unique brands and growing.
Data channels: web devices, mobile devices, offline purchases, commercial/non-commercial data, B2B data, GPS data
Example Fields
Column Name | Description | Type | Example
----|-----
placekey | Unique and persistent ID tied to this POI. See the Places Manual for details on placekey design. | String | 222-222@222-222-222
safegraph_place_id | Unique and persistent ID tied to this POI (to be retired in favor of placekey). | String | sg:64d0ee4695af4ab4906fe82997ead9ff
parent_placekey | If place is a tenant / sub-store inside a larger place (e.g. mall, airport, stadium), this lists the placekey of the parent place, otherwise null. See more on parent-child relationships in the Places Manual| String | 223-223@222-222-222
location_name | The name of the place of interest. | String | Salinas Valley Ford Lincoln
safegraph_brand_ids | Unique and consistent ID that represents this specific brand. | List | SG_BRAND_80ca06abfa1a5104af9a770f485dad07, SG_BRAND_aa45997477591e27601c436bcb228d6f
Brands | If this POI is an instance of a larger brand that we have explicitly identified, this column will contain that brand name. This is an easy way to, for example, unambiguously select Target stores in the USA. A POI may have multiple brands, as in a new car dealership that sells Ford and Lincoln cars. | List | Ford, Lincoln
Need Help?
If you have questions about our products, contact us in the SafeGraph Community for support.
About SafeGraph
SafeGraph is a geospatial data company that curates high-precision data on millions of places around the globe. Our datasets provide detailed, accurate, and up-to-date information on points of interest and how people interact with those locations. Our mission is to build the highest-quality places data and make it available to all. That’s why leaders from large organizations like Sysco, Domino’s, Clear Channel, and Avison Young, as well as non-profits and universities, rely on SafeGraph data to feed their data science models, research, and decision-making. To learn more and instantly download data, visit: safegraph.com
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Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a single pricing dimension: Product Access (Units), which grants subscribers access to the point-of-interest dataset under a contract. Pricing is set by an annual fee rather than pay-per-use. Your cost depends on the number of location rows you select, the attribute columns you add, and the usage rights and delivery frequency you choose. Data is delivered monthly to your chosen environment. Because the package is custom, you work with the vendor to define the mix of rows, columns, and terms that shape your access under this dimension.
Top-of-mind questions for buyers
What determines the price I pay for Product Access under this contract?
Your annual fee is built from three inputs: the number of location rows you buy, the premium attribute columns you add, and the usage rights and delivery frequency you define. You combine these into a custom package. There is no pay-per-use metering; you pay one straightforward annual fee for the mix you select.
What data does one Product Access subscription actually deliver, and how often?
Access covers point-of-interest records for physical US locations. You receive latitude and longitude, street address, city, region, postal code, brand affiliation, hours, open and close history, and building footprint details. The dataset is delivered to your chosen environment monthly, by the 7th of each month. It contains no individual consumer or device-level data.
If I need more rows or attribute columns later, how does my cost change?
Cost scales with the custom mix you commit to. Adding more location rows or more premium attribute columns raises your annual fee, since pricing is built from the rows, columns, and usage rights you select. To adjust your package, you work directly with the vendor to redefine the terms.
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Vendor refund policy
Refunds are not offered on this product. For questions or concerns, contact awsdata@safegraph.com.
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Places dataset containing geolocation and business listing information such as location name, street address, industry, lat/long and brand. Covers locations for major retail chains, local businesses, convenience stores, hotels, airports, schools, hospitals & more. Dataset contains more than 5.5MM United States POI across all categories and over 5,500 recognized brands.
Geospatial dataset containing geolocation and business listing information such as location name, street address, industry, lat/long and brand. Covers locations for major retail chains, local businesses, convenience stores, hotels, airports, schools, hospitals & more. Dataset contains more than 5.5MM United States POI across all categories and over 5,500 recognized brands.
Points of interest dataset containing geolocation and business listing information such as location name, street address, industry, lat/long and brand. Covers locations for major retail chains, local businesses, convenience stores, hotels, airports, schools, hospitals & more. Dataset contains more than 5.5MM United States POI across all categories and over 5,500 recognized brands.
Places dataset for Retail, Location, and Marketing groups containing geolocation and business listing information such as location name, street address, industry, lat/long and brand. Covers locations for major retail chains, local businesses, convenience stores, hotels, airports, schools, hospitals & more. Dataset contains more than 5.5MM United States POI across all categories and over 5,500 recognized brands.