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.
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 8MM 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.
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.
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 using the support information below.
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), billed as a contract that grants subscribers access to the point-of-interest dataset for the entire US. Pricing is set by the number of data rows you select, the attribute columns you add, and your delivery and usage terms. You pay one annual fee for your chosen mix. Data delivers monthly to your environment. Because the structure is one access unit rather than tiers or sizes, you scale by adjusting rows, columns, and usage rights rather than choosing between separate plans.
Top-of-mind questions for buyers
What counts toward my price — how are rows and columns defined?
A row is a single point-of-interest record for a physical location. A column is one data attribute you attach to those records, such as geographic coordinates, brand names, open/close dates, hours, or building footprints. You choose which rows and which attribute columns you want, and both selections shape your annual fee.
If I add more rows or attribute columns, how does my cost change?
Your annual fee is set by your chosen mix of rows, attribute columns, and usage rights. Adding more location rows or more premium attribute columns raises the fee. There are no pay-per-use charges or per-query metering. You agree to one fixed annual amount based on the dataset scope you select.
What is included with my access, and what is not part of this dataset?
Access includes monthly data delivery to your environment and a Customer Success Manager for support. The dataset covers physical locations only. It does not include individual consumer data, device-level signals, or foot-traffic information. You receive place records, not data about people or their visits.
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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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