Starbucks store locations in France
Download the complete list of 240 Starbucks restaurant locations including geo-coded addresses, email, phone numbers, websites, operating hours, and other restaurant information.
Sample Starbucks Restaurants Data
A preview of 5 sample Starbucks Restaurants restaurant locations and dataset structure, including city and state breakdowns.
| Name | Address | City | Country | Zip Code | Latitude | Longitude | Phone | Created At | Domain | Updated At | Url |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Haudiomont - Aire de Verdun (A #1023450 | Aire de Verdun Saint Nicolas Sud, Haudiomont | Haudiomont | FR | 55160 | 49.11843 | 5.50841 | 54395-283491 | 2026-11-12T10:01:24.651Z | starbucks.com | 2026-11-12T10:01:24.651Z | https://www.starbucks.com/store-locator |
| Farges-Allichamps-AdC. France #1025825 | Aire de Service du Centre de la France, Farges-Allichamps | Farges-Allichamps | FR | 18200 | 46.75252 | 2.41526 | 56140-289717 | 2026-11-12T10:01:24.650Z | starbucks.com | 2026-11-12T10:01:24.651Z | https://www.starbucks.com/store-locator |
| C.C LE PONTET #1049113 | 533 Avenue Louis Braille, AVIGNON | AVIGNON | FR | 84130 | 43.98327 | 4.88086 | 80350-309615 | 2026-11-12T10:01:24.650Z | starbucks.com | 2026-11-12T10:01:24.652Z | https://www.starbucks.com/store-locator |
| Sailly-Flibeaucourt Shell Baie #1017949 | Aire de la Baie de Somme, Sailly-Flibeaucourt | Sailly-Flibeaucourt | FR | 80970 | 50.16722 | 1.75491 | 48969-265272 | 2026-11-12T10:01:24.650Z | starbucks.com | 2026-11-12T10:01:24.651Z | https://www.starbucks.com/store-locator |
| Allan - Aire de Montelimar-Est #1028233 | A7 Aire de Montelimar Est, Allan | Allan | FR | 26780 | 44.51458 | 4.78237 | 54988-276889 | 2026-11-12T10:01:24.650Z | starbucks.com | 2026-11-12T10:01:24.652Z | https://www.starbucks.com/store-locator |
[
{
"name": "Haudiomont - Aire de Verdun (A #1023450",
"address": "Aire de Verdun Saint Nicolas Sud, Haudiomont",
"city": "Haudiomont",
"country": "FR",
"created_at": "2026-11-12T10:01:24.651Z",
"domain": "starbucks.com",
"latitude": 49.11843,
"longitude": 5.50841,
"phone": "54395-283491",
"updated_at": "2026-11-12T10:01:24.651Z",
"url": "https://www.starbucks.com/store-locator",
"zip_code": "55160"
},
{
"name": "Farges-Allichamps-AdC. France #1025825",
"address": "Aire de Service du Centre de la France, Farges-Allichamps",
"city": "Farges-Allichamps",
"country": "FR",
"created_at": "2026-11-12T10:01:24.650Z",
"domain": "starbucks.com",
"latitude": 46.75252,
"longitude": 2.41526,
"phone": "56140-289717",
"updated_at": "2026-11-12T10:01:24.651Z",
"url": "https://www.starbucks.com/store-locator",
"zip_code": "18200"
},
{
"name": "C.C LE PONTET #1049113",
"address": "533 Avenue Louis Braille, AVIGNON",
"city": "AVIGNON",
"country": "FR",
"created_at": "2026-11-12T10:01:24.650Z",
"domain": "starbucks.com",
"latitude": 43.98327,
"longitude": 4.88086,
"phone": "80350-309615",
"updated_at": "2026-11-12T10:01:24.652Z",
"url": "https://www.starbucks.com/store-locator",
"zip_code": "84130"
},
{
"name": "Sailly-Flibeaucourt Shell Baie #1017949",
"address": "Aire de la Baie de Somme, Sailly-Flibeaucourt",
"city": "Sailly-Flibeaucourt",
"country": "FR",
"created_at": "2026-11-12T10:01:24.650Z",
"domain": "starbucks.com",
"latitude": 50.16722,
"longitude": 1.75491,
"phone": "48969-265272",
"updated_at": "2026-11-12T10:01:24.651Z",
"url": "https://www.starbucks.com/store-locator",
"zip_code": "80970"
},
{
"name": "Allan - Aire de Montelimar-Est #1028233",
"address": "A7 Aire de Montelimar Est, Allan",
"city": "Allan",
"country": "FR",
"created_at": "2026-11-12T10:01:24.650Z",
"domain": "starbucks.com",
"latitude": 44.51458,
"longitude": 4.78237,
"phone": "54988-276889",
"updated_at": "2026-11-12T10:01:24.652Z",
"url": "https://www.starbucks.com/store-locator",
"zip_code": "26780"
}
]# Starbucks store locations in France ## Dataset Information - **Total Records**: 240 - **Country**: FR - **Price**: $45 - **Last Updated**: 11/12/2026 ## Categories - Limited-Service Restaurants ## Sample Data | NAME | ADDRESS | CITY | COUNTRY | ZIP_CODE | LATITUDE | LONGITUDE | PHONE | CREATED_AT | DOMAIN | UPDATED_AT | URL | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Haudiomont - Aire de Verdun (A #1023450 | Aire de Verdun Saint Nicolas Sud, Haudiomont | Haudiomont | FR | 55160 | 49.11843 | 5.50841 | 54395-283491 | 2026-11-12T10:01:24.651Z | starbucks.com | 2026-11-12T10:01:24.651Z | https://www.starbucks.com/store-locator | | Farges-Allichamps-AdC. France #1025825 | Aire de Service du Centre de la France, Farges-Allichamps | Farges-Allichamps | FR | 18200 | 46.75252 | 2.41526 | 56140-289717 | 2026-11-12T10:01:24.650Z | starbucks.com | 2026-11-12T10:01:24.651Z | https://www.starbucks.com/store-locator | | C.C LE PONTET #1049113 | 533 Avenue Louis Braille, AVIGNON | AVIGNON | FR | 84130 | 43.98327 | 4.88086 | 80350-309615 | 2026-11-12T10:01:24.650Z | starbucks.com | 2026-11-12T10:01:24.652Z | https://www.starbucks.com/store-locator | | Sailly-Flibeaucourt Shell Baie #1017949 | Aire de la Baie de Somme, Sailly-Flibeaucourt | Sailly-Flibeaucourt | FR | 80970 | 50.16722 | 1.75491 | 48969-265272 | 2026-11-12T10:01:24.650Z | starbucks.com | 2026-11-12T10:01:24.651Z | https://www.starbucks.com/store-locator | | Allan - Aire de Montelimar-Est #1028233 | A7 Aire de Montelimar Est, Allan | Allan | FR | 26780 | 44.51458 | 4.78237 | 54988-276889 | 2026-11-12T10:01:24.650Z | starbucks.com | 2026-11-12T10:01:24.652Z | https://www.starbucks.com/store-locator | ## Data Fields - name - address - city - country - zip_code - latitude - longitude - phone - created_at - domain - updated_at - url
Starbucks Locations by City
As of November 2026, there are 240 Starbucks locations across the France. The cities with the highest concentration of restaurants are Paris (56), Lyon (10), and Roissy-en-France (7).
| Rank | City | Stores | % of total |
|---|---|---|---|
| 1 | Paris | 56 | 23.3% |
| 2 | Lyon | 10 | 4.2% |
| 3 | Roissy-en-France | 7 | 2.9% |
| 4 | Orly | 6 | 2.5% |
| 5 | Bordeaux | 5 | 2.1% |
| 6 | Lille | 5 | 2.1% |
| 7 | Marseille | 4 | 1.7% |
| 8 | Metz | 3 | 1.3% |
| 9 | Toulouse | 3 | 1.3% |
| 10 | Marignane | 3 | 1.3% |
AI agent instructions
Find and download Starbucks store location data with AI
Give your AI agent a ready-made prompt to locate the Starbucks dataset, securely request your API key, and download all 240 records from Agenty Marketplace.
This prompt works with Cursor, Claude, OpenAI, and other AI agents that can make API requests. Learn how to connect agents using our MCP server or review the API documentation.
- 1
Find the dataset
Search by store name and select the exact Starbucks locations dataset.
- 2
Download securely
Authenticate privately and retrieve the current machine-readable file.
- 3
Use the data
Analyze, filter, or export the downloaded records for your task.
GET https://api.agenty.com/v2/datasets?search=StarbucksGET https://api.agenty.com/v2/datasets/{agent_id}/downloadUpdated November 2026. API keys should stay private and must never be included in prompts, URLs, logs, or generated files.
Copy the instructions for AI agents.
Frequently asked questions
How many Starbucks stores are in France?
There are 240 Starbucks stores in France as of November 2026.
What format is the Starbucks dataset delivered in?
The dataset is delivered as a CSV file with 12 fields per record, including address, phone number, operating hours, and coordinates. Custom delivery formats such as JSON, XML, Excel (XLSX), API access, and database exports is also available for subscription customers. Contact support to discuss custom data delivery or API requirements.
How often is the Starbucks store locations data updated?
We refresh the data monthly. The current dataset was last updated on November 2026.
Can I use this data commercially?
Yes. The dataset is licensed for commercial use including competitive analysis, LLM/AI training, and market research.
Turn the web into your data advantage
Collect and transform web data at scale - from POI and location data to competitor monitoring, market research, product intelligence, and AI-ready datasets. One platform to scrape, monitor, and extract the data your business needs.
- Custom web scraping at scale
- Real-time price monitoring
- LLM training data curation
- Structured JSON & CSV exports
- Anti-bot bypass built-in
- 99.9% uptime SLA
Add to Chrome — it's freeGet a free sample dataset from any website before you commit.
