Xtract.io - Point-of-Interest (POI) Data | Places data | All Starbucks Coffeehouse locations in US and Canada
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| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx |
| 2 | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx |
| 3 | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx |
| 4 | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
| 5 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx |
| 6 | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx |
| 7 | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx |
| 8 | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx |
| 9 | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx |
| 10 | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
| ... | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
| Integer | 1485 | UID | |
| String | starbucks.com | Company Domain | |
| String | STARBUCKS CORPORATION | Brand Name | |
| String | MACY'S AT UNIVERSITY TOWN CENTER S | POI Name | |
| String | Address | ||
| String | SARASOTA | City Name | |
| String | FL | State Abbreviation | |
| Integer | 34243 | Postal Code | |
| Integer | Phone Number | ||
| String | US | Country Code Alpha-2 | |
| String | [{"days":["mon","wed","thu","fri","sat"],"start_time":"08... | POI Opening Hours | |
| String | https://www.starbucks.com/ | Website | |
| Float | 27.386383 | Latitude | |
| Float | -82.4531037 | Longitude | |
| Integer | 722513 | Company NAICS Code | |
| String | Limited-Service Restaurants | Company NAICS Name | |
| String | STARBUCKS CORPORATION | Brand Name | |
|
location_type
|
String | Brand Store |
| Attribute | Type | Example | Mapping |
|---|---|---|---|
| String | Starbucks | Brand Name | |
| String | MACY'S AT UNIVERSITY TOWN CENTER S | POI Name | |
| String | Address | ||
| String | 10119 | Postal Code | |
| Decimal | 40.786342970476895 | Latitude | |
| Decimal | -119.2065156609571 | Longitude |
Description
Geography
History
Volume
| 33,600 | Locations |
Pricing
| License | Starts at |
|---|---|
| One-off purchase |
$1,260 / purchase |
| Monthly License | Not available |
| Yearly License | Not available |
| Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
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Frequently asked questions
What is Xtract.io - Point-of-Interest (POI) Data Places data All Starbucks Coffeehouse locations in US and Canada?
This product consists of point-of-interest data (POI) for all the Starbucks Coffeehouse locations in US and Canada
What is Xtract.io - Point-of-Interest (POI) Data Places data All Starbucks Coffeehouse locations in US and Canada used for?
This product has 5 key use cases. Xtract recommends using the data for Location-based Marketing, Geofencing, Location Analytics, Location Planning, and Point of Interest (POI) Mapping. Global businesses and organizations buy Location Data from Xtract to fuel their analytics and enrichment.
Who can use Xtract.io - Point-of-Interest (POI) Data Places data All Starbucks Coffeehouse locations in US and Canada?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Location Data. Get in touch with Xtract to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Xtract.io - Point-of-Interest (POI) Data Places data All Starbucks Coffeehouse locations in US and Canada go?
This Tabular Data has 12 months of historical coverage. It can be delivered on a monthly, quarterly, yearly, and on-demand basis.
Which countries does Xtract.io - Point-of-Interest (POI) Data Places data All Starbucks Coffeehouse locations in US and Canada cover?
This product includes data covering 2 countries like USA and Canada. Xtract is headquartered in United States of America.
How much does Xtract.io - Point-of-Interest (POI) Data Places data All Starbucks Coffeehouse locations in US and Canada cost?
Pricing for Xtract.io - Point-of-Interest (POI) Data Places data All Starbucks Coffeehouse locations in US and Canada starts at USD1,260 per purchase. Connect with Xtract to get a quote and arrange custom pricing models based on your data requirements.
How can I get Xtract.io - Point-of-Interest (POI) Data Places data All Starbucks Coffeehouse locations in US and Canada?
Businesses can buy Location Data from Xtract and get the data via S3 Bucket, SFTP, and Email. Depending on your data requirements and subscription budget, Xtract can deliver this product in .bin, .json, .csv, .xls, and .txt format.
What is the data quality of Xtract.io - Point-of-Interest (POI) Data Places data All Starbucks Coffeehouse locations in US and Canada?
Xtract has reported that this product has the following quality and accuracy assurances: 95% Coverage, 95% Accuracy. You can compare and assess the data quality of Xtract using Datarade’s data marketplace. Xtract has received 1 review from clients. Xtract appears on selected Datarade top lists ranking the best data providers, including Top 10 POI Data Providers & APIs.
What are similar products to Xtract.io - Point-of-Interest (POI) Data Places data All Starbucks Coffeehouse locations in US and Canada?
This Tabular Data has 3 related products. These alternatives include Xtract.io - Point-of-Interest (POI) Data Locations data All Darden restaurant locations in US, 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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