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Datasets → Datasets Starbucks Stores Search
AI-generatedSummary
Search the Starbucks stores dataset using text, location, amenity, and provenance filters. The node sends the selected values as query parameters to the Crawlora API and requires an API key.
Inputs
- q — Optional full-text search across store name, city, and address; maximum 256 characters.
- country — Optional ISO-3166-1 alpha-2 country code, such as US, GB, or JP.
- state — Optional state or region code, such as WA.
- city — Optional exact city filter.
- market — Crawl provenance market filter: us or ca. Defaults to us.
- amenity — Optional amenity code filter, such as DT for Drive-Thru or XO for Mobile Order and Pay.
- lat — Latitude for radius filtering or distance sorting; requires lon.
- lon — Longitude for radius filtering or distance sorting; requires lat.
- radius_m — Optional radius in meters (1–50000); requires lat and lon.
- sort — Sort order: relevance or distance_asc. Defaults to relevance.
- page — Page number; the API description says it defaults to 1.
- page_size — Number of results per page; the API description says it defaults to 20, with a maximum of 100. The product of page and page_size must not exceed 10000.
- x-api-key (required) — API key sent in the x-api-key request header.
- requestOptions — Optional HTTP request settings, including batching, insecure SSL certificate acceptance, proxy, and timeout.
Output shape
A JSON API response containing matching Starbucks store records.
The source pack defines the API base URL and JSON headers but does not show response parsing or the precise response envelope. Pagination and result limits are described by the input fields.