Updated March 2026 · Scraped from UberEats API

The most complete
Starbucks location dataset
available anywhere.

14,902 US stores. 40+ countries. 35 data fields per location. GPS coordinates, operating hours, delivery features, and a proprietary difficulty score — all in one instant CSV download. No sales call required.

Browse Datasets & Pricing View Free Sample
14,902
US Locations
40+
Countries
35
Data Fields
99.1%
Open Status Accuracy
Mar 2026
Last Updated

35 fields per location.
More than any other source.

Every record includes verified location data, operational metadata, delivery feature flags, and our proprietary scoring system — unavailable from any other data provider.

Store ID & Store Number
Unique internal identifiers from the Starbucks / UberEats system.
Core
Store Name
Full display name as used in the Starbucks app and UberEats.
Core
Address & City
Full street address and city name, normalized and verified.
Location
State / Province
State or province code for US, Canada, Australia, and others.
Location
Country Code & Name
ISO 3166-1 alpha-2 country code and full country name.
Location
ZIP / Postal Code
Full postal code where available. US coverage: 100%.
Location
Latitude & Longitude
Precise GPS coordinates (6 decimal places) for every location.
Location
Phone Number
Store phone number in E.164 format. Available for ~91% of US locations.
Contact
Ownership Type
Company-operated (CO) vs. Licensed store (LS). Critical for franchise and delivery analysis.
Operations
Open / Closed Status
Current operating status as of March 2026. 14,824 open, 78 closed in US dataset.
Operations
Avg Daily Hours
Average number of hours the store is open per day (decimal, e.g. 16.5).
Operations
Open Days per Week
Number of days per week the store operates, 1–7.
Operations
Has Drive-Through
Boolean flag: whether a drive-through lane is available at this location.
Features
Has In-Store Service
Boolean flag: whether the location serves walk-in customers.
Features
Has Mobile Order & Pay
Boolean flag: whether the location accepts Starbucks mobile app orders.
Features
Nearest Store Distance (mi)
Distance in miles to the nearest other Starbucks location. Useful for market density analysis.
Spatial
Venue Type Flags (8 fields)
Airport/transit, hospital, university/campus, mall, highway/rest stop, military base, remote/low-density, limited hours. Each as a boolean flag.
Context
Delivery Difficulty Score
Proprietary weighted score (0–100%) indicating how difficult this location is to service via delivery. Combines 11 weighted criteria. Not available from any other source.
Proprietary
Difficulty Rank
National rank by difficulty score. Instantly identify the hardest and easiest locations to service for delivery optimization.
Proprietary

Built for analysts, developers, and operators.

From franchise site selection to delivery route optimization — real use cases with real ROI.

🏢

Real Estate & Site Selection

Map Starbucks density by ZIP code or state. Identify under-served trade areas. Validate franchise and retail site decisions with competitor proximity data.

🚚

Delivery & Logistics

Use the proprietary difficulty score to prioritize high-ROI delivery locations. Identify drive-through-only and licensed stores that create operational complexity for last-mile delivery.

📊

Market Research & Investment

Analyze Starbucks' global footprint for equity research, competitive intelligence, or M&A due diligence. Track open/closed ratios and market penetration by country.

Competitor Analysis

Benchmark Starbucks store density against your own network. Identify market saturation and white-space opportunity across 40+ countries.

💻

App Development

Build "find nearest Starbucks" features, delivery aggregation apps, or geospatial tools. All GPS coordinates ready for immediate integration via REST API.

🎓

Academic & Research

Geospatial research on food access, urban planning, or consumer behavior. Machine-readable CSV format ready for Python, R, QGIS, or any GIS tool.

See exactly what you're buying.

Five rows from the US dataset. The full dataset contains 14,902 rows in the same format. Download the free 50-row sample to validate in your own tools before purchasing.

Store ID Name City State ZIP Lat Lng Phone Type Status Hrs/Day Drive-Thru Mobile Difficulty
1008645 2500 N Roosevelt Blvd Key West FL 33040 24.5629 -81.7761 +1 305-900-8436 CO Open 16 0.0%
8760700 EYW Conc A Gate 3 Key West FL 33040 24.5537 -81.7556 LS Open 13 12.3%
1015430 Blue Flamingo Resort Key West FL 33040 24.5711 -81.7544 +1 305-928-1103 LS Open 13.5 8.6%
1023910 Bayshore Drive Miami Miami FL 33133 25.7471 -80.2372 +1 305-000-0000 CO Open 15 2.1%
1045822 Brickell City Centre Miami FL 33131 25.7645 -80.1918 +1 305-000-0001 LS Open 12 15.4%

Rows 4–5 blurred for preview. Full 50-row sample reveals all fields, including venue type flags and complete difficulty scores.

↓ Download Free Sample (50 rows, CSV)

Transparent pricing. Instant delivery.

No sales call. No waiting. Pay and download immediately. All datasets delivered as CSV + Excel (.xlsx) with the same 35-column schema.

United States — By State

Need only one state? Buy individual state datasets. Includes all stores within that state, same 35-field schema as the full US dataset.

$5 per state Buy State Dataset →

Individual Countries

Select any of the 40+ countries where UberEats operates. Pricing is based on store count in that country.

  Buy Country Dataset →
Small (<200 stores): $9  ·  Medium (200–1,000): $29  ·  Large (1,000+): $49

Americas Bundle

$79
US, Canada, Mexico, Brazil, Argentina, Chile, Peru, Colombia. All countries in the Americas where UberEats operates.
  • ~17,000+ stores
  • 8 countries
  • CSV + Excel per country
  • 35 fields per record
Buy Americas →

Asia-Pacific Bundle

$79
Japan, South Korea, Australia, New Zealand, Singapore, Malaysia, Philippines, Thailand, Indonesia, Taiwan, Hong Kong, India, China.
  • ~8,000+ stores
  • 13 countries
  • CSV + Excel per country
  • 35 fields per record
Buy APAC →

Europe Bundle

$79
United Kingdom, Germany, France, Spain, Netherlands, Belgium, Ireland, Switzerland, Austria, Poland, Sweden, Denmark, Norway, Finland, Russia.
  • ~3,000+ stores
  • 15 countries
  • CSV + Excel per country
  • 35 fields per record
Buy Europe →

Middle East & Africa Bundle

$59
UAE, Saudi Arabia, Kuwait, Qatar, Bahrain, Israel, Egypt, South Africa.
  • ~600+ stores
  • 8 countries
  • CSV + Excel per country
  • 35 fields per record
Buy MENA →

Starter

$19/month
  • 5,000 API calls/month
  • All countries & endpoints
  • Filter by country, state, city
  • JSON response format
  • Radius search (lat/lng + km)
  • Email support
Subscribe →

Business

$149/month
  • 500,000 API calls/month
  • All countries & endpoints
  • Dedicated API key
  • Higher rate limits
  • SLA: 99.9% uptime
  • Priority support + Slack
Subscribe →
Pay-as-you-go: No subscription commitment? Use our PAYG option at $10 per 1,000 API calls. Credits never expire. Buy API Credits →

Query 25,000+ locations programmatically.

Clean JSON API. Filter by country, state, city, radius, ownership type, or delivery features. All responses follow a consistent schema.

Base URL: https://starbucks-locations.com/api/v1    Auth: X-API-Key: your_key
GET /locations Search & filter locations
Query parameters: country, state, city, lat, lng, radius_km, ownership (CO|LS), has_drive_through, has_mobile_order, status (open|closed), limit, offset
{
  "total": 247,
  "limit": 10,
  "offset": 0,
  "results": [
    {
      "store_id": "1008645",
      "name": "2500 N Roosevelt Blvd",
      "address": "2500 N Roosevelt Blvd",
      "city": "Key West",
      "state": "FL",
      "country": "US",
      "zip": "33040",
      "lat": 24.56293,
      "lng": -81.77605,
      "phone": "+1 305-900-8436",
      "ownership": "CO",
      "status": "Open",
      "avg_daily_hours": 16,
      "open_days_week": 7,
      "has_drive_through": true,
      "has_in_store": true,
      "has_mobile_order": true,
      "nearest_store_mi": 1.43,
      "venue_airport": false,
      "venue_hospital": false,
      "venue_university": false,
      "venue_mall": false,
      "difficulty_score": 0.0,
      "difficulty_rank": 14902
    }
  ]
}
GET /locations/{store_id} Single location by ID
{
  "store_id": "1008645",
  "name": "2500 N Roosevelt Blvd",
  "...  all 35 fields": "..."
}
GET /countries List all available countries with store counts
[
  { "code": "US", "name": "United States", "total": 14902, "open": 14824 },
  { "code": "CN", "name": "China",         "total": 2562,  "open": 2551  },
  { "code": "CA", "name": "Canada",        "total": 1456,  "open": 1441  },
  "..."
]
Get API Access →

Common questions.

What format are the files delivered in?
All datasets are delivered as both CSV and Excel (.xlsx) in a single ZIP file. The CSV is UTF-8 encoded, comma-delimited, with a header row. Compatible with Python, R, Excel, Google Sheets, QGIS, Tableau, Power BI, and any GIS or data tool.
How fresh is the data?
The current dataset was collected in March 2026 directly from the UberEats and Starbucks location APIs. Open/closed status reflects real-time API responses at the time of collection. We plan to release quarterly updates — existing customers will receive update notifications.
What is the "Delivery Difficulty Score"?
The difficulty score is a proprietary weighted metric we developed to quantify how challenging a given Starbucks location is to service via delivery. It combines 11 weighted criteria including: licensed store status (limits delivery partnerships), drive-through-only format (no walk-in access), absence of Mobile Order & Pay, airport/transit hub location, hospital/campus restrictions, limited operating hours, remote or low-density location, and highway rest-stop placement. A score of 0% means no delivery friction; 36.9% is the highest observed in the US dataset.
What is the difference between CO and LS stores?
CO (Company-Operated) stores are owned and operated directly by Starbucks Corporation. LS (Licensed Store) locations are operated by a third-party licensee — commonly found in airports, hospitals, universities, grocery stores, and resorts. Licensed stores typically have more restrictions on delivery partnerships, mobile order availability, and product menus. This distinction is critical for delivery optimization and franchise analysis.
Can I get a free sample before buying?
Yes. Download the free 50-row US sample from the Sample section above. The sample contains the complete 35-column schema with real, unmodified data from the US dataset. No email required — direct CSV download.
Do you offer refunds?
Because these are instant-download digital products, we do not offer refunds after a file has been downloaded. We strongly recommend downloading the free 50-row sample before purchasing to verify the data format meets your requirements. If you experience a technical issue with your download, contact us and we'll resolve it immediately.
Will the data be updated? Can I get future updates?
We intend to release quarterly dataset updates as the scraping bot continues its runs. Customers who purchased a dataset will be notified by email when an updated version is available, with a discounted upgrade price. API subscribers always receive the latest data automatically.
What is the licensing — can I use this in a commercial product?
Each purchase grants a single-entity commercial license. You may use the data internally for analysis, build products on top of it, or incorporate it into client deliverables. You may not resell or redistribute the raw data files to third parties. API access is licensed for the registered entity only; sharing API keys is not permitted.
How do I get my API key after subscribing?
Your API key is generated automatically after a successful subscription payment and sent to your email within seconds. It activates immediately — no manual approval required. You can also view and regenerate your key from the customer portal link sent with your receipt.