Pricing
$29.00/month + usage
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Starbucks Store Locator Scraper
Scrape Starbucks store locations by searched place with addresses, parsed location fields, distances, store IDs, URLs, coordinates, and source metadata.
Pricing
$29.00/month + usage
Rating
0.0
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Developer
Actor stats
1
Bookmarked
10
Total users
1
Monthly active users
11 hours ago
Last modified
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Extract Starbucks store locations from the public store locator with normalized retail-location fields.
Who this is for
- Retail analysts
- Location intelligence teams
- Competitor monitoring teams
What it helps you do
- Collect Starbucks locations by place or search area
- Build store footprint datasets
- Compare addresses, coordinates, amenities, and opening hours
Inputs you can use
- Search place or coordinates
- Maximum stores
Data you get
- store name
- address
- city
- region
- postal code
- country
- coordinates
- opening hours
- amenities
How to get better results
- Start with a narrow, specific query or a small list of source URLs.
- Use realistic limits for the first run, then increase the volume once the output looks right.
- Keep source URLs, dates, and location context when you need repeatable market monitoring.
- Review a few sample records before connecting the dataset to a larger workflow.
Notes
- Results depend on what the public source exposes at run time.
- Some pages may hide, delay, rename, or remove fields, so individual records can have partial data.
- Use the built-in output table to inspect results before exporting to spreadsheets, dashboards, or automation tools.
Support
If a run returns unexpected data, open an issue from the Actor page with the input used, the run ID, and the result you expected.
