# Starbucks Store Locator (`runtime/starbucks-store-locator`) Actor Starbucks Store Locator - Scrapes all U.S. store locations. - **URL**: https://apify.com/runtime/starbucks-store-locator.md - **Developed by:** [scraping automation](https://apify.com/runtime) (community) - **Categories:** E-commerce, Lead generation - **Stats:** 9 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing $29.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Starbucks Store Locator Actor ### Overview This Apify Actor scrapes Starbucks store locations using Playwright with advanced data extraction capabilities. It searches for Starbucks stores by location name and extracts comprehensive store information including store IDs and coordinates. ### Features - **Location-based Search**: Search for Starbucks stores by location name (e.g., "New York, NY, USA") - **Comprehensive Data Extraction**: Extracts store names, addresses, distances, store IDs, and coordinates - **Proxy Support**: Built-in support for Apify Proxy with residential IPs - **Interactive Data Collection**: Clicks on store cards to extract detailed information - **Robust Error Handling**: Advanced error handling and retry mechanisms ### Input Parameters - `place`: Location name for search (default: "New York, NY, USA") - `maxStores`: Maximum number of stores to extract before stopping (default: 50) - `zoomClicks`: Number of zoom-in clicks to perform on the map after search (default: 3) - `delayBetweenZooms`: Delay in milliseconds between zoom clicks (default: 800) - `delayAfterZoom`: Delay in milliseconds after zooming before extraction starts (default: 8000) - `proxyConfiguration`: Proxy settings for web scraping ### Output Schema The Actor outputs detailed store information in the following JSON schema: ```json { "type": "object", "properties": { "storeId": { "type": ["string", "null"], "description": "Unique identifier for the store (may be null if not available)" }, "storeName": { "type": "string", "description": "Name of the Starbucks location" }, "address": { "type": "string", "description": "Full street address of the store" }, "distance": { "type": "string", "description": "Distance from the search location in miles (e.g., '0.3')" }, "coordinates": { "type": ["object", "null"], "description": "Latitude and longitude coordinates", "properties": { "lat": { "type": "number", "description": "Latitude coordinate" }, "lng": { "type": "number", "description": "Longitude coordinate" } } }, "timestamp": { "type": "string", "format": "date-time", "description": "ISO 8601 timestamp when the data was extracted" } }, "required": ["storeName", "address", "distance", "timestamp"] } ```` #### Example Output ```json { "storeId": null, "storeName": "DTLA Grand Park", "address": "217 N. Hill Street, Los Angeles", "distance": "0.3", "coordinates": null, "timestamp": "2024-01-15T10:30:00.000Z" } ``` #### Output Fields - **storeId**: Unique identifier for the store (may be null if not available) - **storeName**: Name of the Starbucks location - **address**: Full street address - **distance**: Distance from the search location in miles - **coordinates**: Latitude and longitude coordinates (may be null if not available) - **timestamp**: ISO 8601 timestamp when the data was extracted ### Technical Details - **Browser**: Chrome-based Playwright - **Proxy**: Apify Proxy with residential IPs - **Timeout**: 60 seconds for page loads - **Max Stores**: 50 stores per search - **Data Source**: Starbucks Store Locator (https://www.starbucks.com/store-locator) ### ⚠️ Important Notes 1. **Respect Starbucks' Terms of Service** - Use this Actor responsibly and in accordance with Starbucks' policies 2. **Rate Limiting** - The Actor includes built-in delays to avoid overwhelming Starbucks' servers 3. **Proxy Usage** - For large-scale scraping, always use residential proxies 4. **Data Usage** - Ensure you have permission to use scraped data for your intended purpose 5. **Public Information Only** - The Actor can only access publicly available store location data ### Usage The Actor navigates to the Starbucks store locator, searches for the specified location, and extracts store information by clicking on each store card to access detailed data including store IDs and coordinates. # Actor input Schema ## `place` (type: `string`): Search location text used in the Starbucks locator input (e.g., "New York, NY, USA" or "Berlin, DE"). This determines the map area and store results. ## `maxStores` (type: `integer`): Maximum number of store cards to process before stopping. Use lower values for faster runs. ## `zoomClicks` (type: `integer`): How many times to zoom in on the map after search. More clicks show a tighter area but may reduce store count. ## `delayBetweenZooms` (type: `integer`): Milliseconds to wait between zoom clicks so the map can re-render. ## `delayAfterZoom` (type: `integer`): Milliseconds to wait after finishing zooming before extracting stores. ## `proxyConfiguration` (type: `object`): Proxy settings for requests. Use Apify Proxy (recommended for reliability) or provide custom proxy URLs. ## Actor input object example ```json { "place": "New York, NY, USA", "maxStores": 50, "zoomClicks": 3, "delayBetweenZooms": 800, "delayAfterZoom": 8000, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `stores` (type: `string`): Extracted Starbucks store results. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("runtime/starbucks-store-locator").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("runtime/starbucks-store-locator").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call runtime/starbucks-store-locator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=runtime/starbucks-store-locator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Starbucks Store Locator", "description": "Starbucks Store Locator - Scrapes all U.S. store locations.", "version": "0.1", "x-build-id": "lwk7Pv5doN0rpFv5F" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/runtime~starbucks-store-locator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-runtime-starbucks-store-locator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/runtime~starbucks-store-locator/runs": { "post": { "operationId": "runs-sync-runtime-starbucks-store-locator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/runtime~starbucks-store-locator/run-sync": { "post": { "operationId": "run-sync-runtime-starbucks-store-locator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "place": { "title": "Place (Location Name)", "type": "string", "description": "Search location text used in the Starbucks locator input (e.g., \"New York, NY, USA\" or \"Berlin, DE\"). This determines the map area and store results.", "default": "New York, NY, USA" }, "maxStores": { "title": "Max stores", "minimum": 1, "type": "integer", "description": "Maximum number of store cards to process before stopping. Use lower values for faster runs.", "default": 50 }, "zoomClicks": { "title": "Zoom-in clicks", "minimum": 0, "type": "integer", "description": "How many times to zoom in on the map after search. More clicks show a tighter area but may reduce store count.", "default": 3 }, "delayBetweenZooms": { "title": "Delay between zooms (ms)", "minimum": 0, "type": "integer", "description": "Milliseconds to wait between zoom clicks so the map can re-render.", "default": 800 }, "delayAfterZoom": { "title": "Delay after zoom (ms)", "minimum": 0, "type": "integer", "description": "Milliseconds to wait after finishing zooming before extracting stores.", "default": 8000 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings for requests. Use Apify Proxy (recommended for reliability) or provide custom proxy URLs.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```