Places Data for Retail, Location & Marketing - Free Sample
Provided By: SafeGraph
Places Data for Retail, Location & Marketing - Free Sample
Provided By: SafeGraph
POI dataset for retail, location, and marketing groups containing business listing information about points-of-interest (POI) such as location name, street address, industry, lat/long and brand. This free dataset includes all identified Starbucks locations in the US. Dataset contains more than 14,000 POI.
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$0 for 1 month
Overview
SafeGraph Places - Starbucks
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
This free dataset includes all identified Starbucks locations in the US, as of SafeGraph's December 2020 release. Dataset contains more than 14,000 POI and is an example of the data customers would see in the available, for-pay Places datasets.
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.
- 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 all identified Starbucks locations in the US, as of SafeGraph’s December 2020 release.
- 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 using the support information below.
awsdata@safegraph.com
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
Provided By
Fulfillment Method
AWS Data Exchange
Data sets (1)
You will receive access to the following data sets
Revision access rules
Last 1 revision | All future revisions
Name | Type | Data dictionary | AWS Region |
|---|---|---|---|
Core Places for all Starbucks locations | Not included | US East (N. Virginia) |
Usage information
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Support information
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Refund policy
Refunds are not offered for this product. For any questions, please contact awsdata@safegraph.com.
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