You can access the Starbucks Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

$echo '{}' |
<apify call fortuitous_pirate/starbucks-scraper --silent --output-dataset

Starbucks Scraper API through CLI

The Apify CLI is the official tool that allows you to use Starbucks Scraper locally, providing convenience functions and automatic retries on errors.

Install Apify CLI

Using installation script (macOS/Linux):

$curl -fsSL https://apify.com/install-cli.sh | bash

Using installation script (Windows):

$irm https://apify.com/install-cli.ps1 | iex

Using Homebrew:

$brew install apify-cli

Using npm:

$npm install -g apify-cli

Other API clients include:

Starbucks Scraper API in Python

Starbucks Scraper API in JavaScript

Starbucks Scraper OpenAPI definition

Starbucks Scraper API

Starbucks Store Locator

runtime/starbucks-store-locator

Starbucks Store Locator - Scrapes all U.S. store locations.

scraping automation

Ubereats Stores Discovery By Brand URL

datacach/ubereats-stores-discovery-by-brand-url

Easily extract all Uber Eats store URLs for any brand (McDonald's, Starbucks, Subway, etc.) at scale. This tool converts a list of brand profile links into a JSON feed with direct URLs for each restaurant. Ideal for local analysis, research, and franchise mapping.