Sold by: SafeGraph
Deployed on AWS
Places is a dataset containing business listing information about points-of-interest (POI) such as location name, street address, industry, latitude/longitude and brand. Covers locations for full-service and limited-service restaurants, cafes, and buffets (NAICS codes 722511, 722513, 722514, 722515), both for major restaurant chains and local businesses. Dataset contains approximately 700,000 United States POI.
Overview
SafeGraph Places - Restaurants
Places is a dataset containing business listing information about points-of-interest (POI), including:
- Location name
- Postal code
- Latitude and longitude
- NAICS codes
- Open hours
- Street address, city, and region
- Brands
Covers locations for full-service and limited-service restaurants, cafes, and buffets (NAICS codes 722511, 722513, 722514, 722515), both for major restaurant chains and local businesses. Dataset contains approximately 700,000 United States POI and is updated monthly.
Use Cases and Guides
- Our detailed Places Schema is available online.
- Please refer to Places Data Manual for more detailed field definitions and methodologies.
- Our Places Summary Statistics is updated with every monthly release to reflect data coverage.
Note: Our documentation site includes detailed information for all of our products, but 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 locations for full-service and limited-service restaurants, cafes, and buffets (NAICS codes 722511, 722513, 722514, 722515), both for major restaurant chains and local businesses in the US.
- Dataset is delivered as a set of CSV files.
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
Details
Sold by
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
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.
Dimension | Description | Cost/12 months |
|---|---|---|
Product Access | Dimension that grants access to the product for subscribers. | $75,000.00 |
Dimensions summary
This listing uses a single pricing dimension: Product Access (Units), a contract-based subscription that grants access to the restaurant POI dataset. Pricing is not tiered or usage-based. Instead, you agree to a set annual fee tied to your custom mix of location rows, attribute columns, and usage rights. You choose the datasets, regions, and delivery format that fit your needs. Data reaches your chosen environment with monthly updates. Because scope is customized, the exact figure depends on the rows, columns, and delivery frequency you request. Contact the vendor to define your specific dataset and terms.
Top-of-mind questions for buyers
A unit grants access to the restaurant POI dataset for your subscribers. The scope of that access reflects your custom mix of location rows, attribute columns, and usage rights. You define which datasets, regions, and delivery format the access covers when you set up your contract.
Three factors combine to set your annual fee: the number of location rows you purchase, the premium attribute columns you add for context, and your chosen delivery frequency. More rows, more columns, or more frequent delivery raise the fee. You pay one straightforward annual charge, not a per-use rate.
Your access includes monthly data delivery to your chosen environment and a dedicated Customer Success Manager for support. The dataset covers physical restaurant locations, coordinates, categories, hours, and open/close history. It does not include individual consumer data, device signals, or foot traffic of any kind.
www.safegraph.com+1
Helpful?
Vendor refund policy
Refunds are not offered on this product. For any questions, please contact awsdata@safegraph.com .
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
SafeGraph Core Places - Restaurants | Last 1 revisions | All future revisions | Not included | Not included |
Resources
Vendor resources
Similar products
This sample dataset includes a list of restaurants and nearby events in the US using SafeGraph’s point of interest data and PredictHQ’s forecast-grade event data.
A single pane-of-glass security management console delivers consistent visibility, policy management, logging, reporting and control across all cloud environments and networks
Check Point Check Point Cloud Firewall is a cloud-native security gateway that delivers automated, advanced threat prevention and multi-layered network security for assets that customers migrate to or store on AWS. Try it free for 30 days.
A single security management console delivers consistent visibility, policy management, logging, reporting and control across all cloud environments and networks
Advanced threat prevention security for AWS and hybrid cloud environments, with Threat Extraction and Threat Emulation, and with GWLB (starting with R81.20)
**Please note: To ensure optimal operations, Check Point recommends a 4 vCores machine size. This provides balanced efficiency and smooth performance, which most customers find ideal for their needs.
Advanced threat prevention security for AWS and hybrid cloud environments, with Threat Extraction and Threat Emulation.
**Please note: To ensure optimal operations, Check Point recommends a 4 vCores machine size. This provides balanced efficiency and smooth performance, which most customers find ideal for their needs.