# Retail VoC Store Review Sweep (`coppery_bulldozer/retail-voc-store-review-sweep`) Actor Sweeps Google Maps store reviews across many brand/location queries, normalizes and classifies each review (sentiment, topic, severity) with no LLM key required. Output rows carry the real review permalink. - **URL**: https://apify.com/coppery\_bulldozer/retail-voc-store-review-sweep.md - **Developed by:** [Suzy](https://apify.com/coppery_bulldozer) (community) - **Categories:** Agents, Automation, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 # Actor input Schema ## `brand` (type: `string`): The brand to sweep, e.g. `Guardian`, `Sephora`, `Watsons`. The actor finds this brand's store branches on Google Maps (scoped to `country`) and pulls each branch's reviews. Leave empty to use the advanced multi-brand `brands` list below instead. ## `country` (type: `string`): Two-letter country code that anchors the map search, e.g. `vn` (Vietnam), `sg` (Singapore), `id` (Indonesia). Without it, Google Maps picks an arbitrary center and coverage suffers. ## `maxPlaces` (type: `integer`): How many store branches to enumerate per brand. Higher = more branches covered and higher cost. ## `maxReviewsPerPlace` (type: `integer`): How many reviews to pull from each branch. Higher = more data and higher cost. ## `brands` (type: `array`): Advanced: compare several brands in one run (e.g. you vs competitors). One entry per brand: `{ "brand": "Guardian", "searchTerms": ["Guardian"], "country": "vn" }`. `searchTerms` and `country` are optional (default to the brand name and the top-level `country`). Ignored when a single `brand` is set above. Left empty, the run defaults to Guardian vs Hasaki vs Watsons. ## `language` (type: `string`): Language code passed to the Google Maps scraper. ## `classify` (type: `boolean`): Run the built-in rule-based classifier (sentiment, topic, severity) on each review. No API key needed. Turn off for raw reviews only. ## Actor input object example ```json { "country": "vn", "maxPlaces": 10, "maxReviewsPerPlace": 40, "brands": [ { "brand": "guardian", "role": "us" }, { "brand": "hasaki", "role": "competitor" }, { "brand": "watsons", "role": "competitor" } ], "language": "vi", "classify": true } ```` # 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 = { "brands": [ { "brand": "guardian", "role": "us" }, { "brand": "hasaki", "role": "competitor" }, { "brand": "watsons", "role": "competitor" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("coppery_bulldozer/retail-voc-store-review-sweep").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 = { "brands": [ { "brand": "guardian", "role": "us", }, { "brand": "hasaki", "role": "competitor", }, { "brand": "watsons", "role": "competitor", }, ] } # Run the Actor and wait for it to finish run = client.actor("coppery_bulldozer/retail-voc-store-review-sweep").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 '{ "brands": [ { "brand": "guardian", "role": "us" }, { "brand": "hasaki", "role": "competitor" }, { "brand": "watsons", "role": "competitor" } ] }' | apify call coppery_bulldozer/retail-voc-store-review-sweep --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=coppery_bulldozer/retail-voc-store-review-sweep", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Retail VoC Store Review Sweep", "description": "Sweeps Google Maps store reviews across many brand/location queries, normalizes and classifies each review (sentiment, topic, severity) with no LLM key required. Output rows carry the real review permalink.", "version": "0.1", "x-build-id": "LbSsZdVIgQhuDAj9Z" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/coppery_bulldozer~retail-voc-store-review-sweep/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-coppery_bulldozer-retail-voc-store-review-sweep", "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/coppery_bulldozer~retail-voc-store-review-sweep/runs": { "post": { "operationId": "runs-sync-coppery_bulldozer-retail-voc-store-review-sweep", "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/coppery_bulldozer~retail-voc-store-review-sweep/run-sync": { "post": { "operationId": "run-sync-coppery_bulldozer-retail-voc-store-review-sweep", "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": { "brand": { "title": "Brand", "type": "string", "description": "The brand to sweep, e.g. `Guardian`, `Sephora`, `Watsons`. The actor finds this brand's store branches on Google Maps (scoped to `country`) and pulls each branch's reviews. Leave empty to use the advanced multi-brand `brands` list below instead." }, "country": { "title": "Country", "type": "string", "description": "Two-letter country code that anchors the map search, e.g. `vn` (Vietnam), `sg` (Singapore), `id` (Indonesia). Without it, Google Maps picks an arbitrary center and coverage suffers.", "default": "vn" }, "maxPlaces": { "title": "Max store branches per brand", "minimum": 1, "maximum": 200, "type": "integer", "description": "How many store branches to enumerate per brand. Higher = more branches covered and higher cost.", "default": 10 }, "maxReviewsPerPlace": { "title": "Max reviews per store", "minimum": 1, "maximum": 500, "type": "integer", "description": "How many reviews to pull from each branch. Higher = more data and higher cost.", "default": 40 }, "brands": { "title": "Brands (advanced, multi-brand)", "type": "array", "description": "Advanced: compare several brands in one run (e.g. you vs competitors). One entry per brand: `{ \"brand\": \"Guardian\", \"searchTerms\": [\"Guardian\"], \"country\": \"vn\" }`. `searchTerms` and `country` are optional (default to the brand name and the top-level `country`). Ignored when a single `brand` is set above. Left empty, the run defaults to Guardian vs Hasaki vs Watsons." }, "language": { "title": "Reviews language", "type": "string", "description": "Language code passed to the Google Maps scraper.", "default": "vi" }, "classify": { "title": "Classify reviews", "type": "boolean", "description": "Run the built-in rule-based classifier (sentiment, topic, severity) on each review. No API key needed. Turn off for raw reviews only.", "default": true } } }, "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 } } } } } } } } } } ```