# Unanswered Google Reviews Finder (`davidbenittah/unanswered-google-reviews-finder`) Actor Find Google reviews with no owner reply for 7+ days across your listings, each with a ready-to-edit reply draft matched to the review's tone. - **URL**: https://apify.com/davidbenittah/unanswered-google-reviews-finder.md - **Developed by:** [David](https://apify.com/davidbenittah) (community) - **Categories:** Business, Automation - **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 ## Unanswered Google Reviews Finder **Unanswered Google reviews finder** that scans your listings on a schedule and returns every review left **without an owner reply for more than N days** — each with the review text, star rating, direct link, and a **ready-to-edit reply draft** matched to the review's tone. Unanswered reviews are the most visible customer-service failure on the internet; this Actor turns them into a clean weekly to-do list. ### Features - **A to-do inbox, not a dump**: only unanswered reviews past your age threshold; each review is flagged once (toggle `reportOnce` off for the full backlog every run). - **Reply drafts included**: apology draft for 1-2★, improvement-focused draft for 3★, thank-you draft for 4-5★ — in English or French — ready to paste and personalize. - **Multi-location**: up to 50 listings per run, ideal for agencies and franchises. - **Age tracking**: every item carries `unansweredForDays`, so you can prioritize the oldest fires first. - **No personal reviewer data** is collected. ### Use cases - **Reputation & marketing agencies**: run weekly across every client's listing; deliver the answer-these-now list with drafts as your service. - **Franchises & multi-site operators**: enforce a "no review unanswered past 7 days" SLA across all branches. - **Restaurants, hotels, clinics, dealerships**: replying to reviews measurably improves local ranking and conversion — this removes the excuse. ### Input / Output Input: ```json { "places": ["ChIJMYwentXB9EcRnD1RBwe9lmo"], "olderThanDays": 7, "replyLanguage": "en" } ```` Output — one dataset item per unanswered review: ```json { "placeName": "Chez Antoine", "reviewStars": 1, "reviewText": "Service catastrophique, on ne reviendra pas.", "reviewPublishedAt": "2026-06-10T12:00:00.000Z", "unansweredForDays": 26, "reviewUrl": "https://www.google.com/maps/reviews/...", "draftReply": "Bonjour, merci d'avoir pris le temps de nous écrire. Nous sommes sincèrement désolés...", "detectedAt": "2026-07-06T12:00:00.000Z" } ``` A `SUMMARY` record reports places checked, reviews scanned, and unanswered reviews found. ### Pricing Pay per event: a small fee per unanswered review found. Under the hood the Actor runs the standard Google Maps Scraper (`compass/crawler-google-places`, billed to your account at its own pay-per-event rate: ~$0.004 per place plus ~$0.0005 per review checked). Checking 10 listings × 30 newest reviews weekly costs roughly $0.19/week in scanning. ### FAQ **Which reviews are scanned?** The newest `maxReviewsPerPlace` (default 30) per listing. Weekly scheduling keeps every new review inside that window. **How good are the reply drafts?** They are tone-matched templates (apology / improvement / thank-you) meant to be personalized before posting — they save the blank-page minute, they do not replace judgment. **Why did a review I saw last week not appear this run?** `reportOnce` (default on) treats the dataset as an inbox: each review is flagged exactly once. Disable it to re-list the entire unanswered backlog on every run. **Place URL or Place ID?** Both work, but Place IDs (`ChIJ...`) are the most reliable. Grab them from Google's Place ID finder or any Google Maps scraper output. **Is this legal?** The Actor collects public review content via the standard Apify Google Maps Scraper with reviewer personal data disabled. You are responsible for how you use the data. # Actor input Schema ## `places` (type: `array`): Google Maps Place IDs (ChIJ..., most reliable) or full Google Maps place URLs. Hard maximum: 50 places per run. ## `olderThanDays` (type: `integer`): Only reviews without an owner reply older than this many days are reported. Set 0 to flag every unanswered review. ## `maxReviewsPerPlace` (type: `integer`): How many of the newest reviews to scan per listing. Hard maximum: 100. ## `replyLanguage` (type: `string`): Language of the generated reply drafts. ## `language` (type: `string`): Language code for fetching place details (e.g. 'en', 'fr'). ## `reportOnce` (type: `boolean`): When enabled, a review already flagged in a previous run is not flagged again — the dataset acts as a to-do inbox. Disable to get the full unanswered backlog on every run. ## `monitorId` (type: `string`): Optional. Advanced: separate 'already reported' memories for the same listings, or reset one by changing the ID. ## Actor input object example ```json { "places": [ "ChIJMYwentXB9EcRnD1RBwe9lmo" ], "olderThanDays": 7, "maxReviewsPerPlace": 30, "replyLanguage": "en", "language": "en", "reportOnce": 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 = { "places": [ "ChIJMYwentXB9EcRnD1RBwe9lmo" ] }; // Run the Actor and wait for it to finish const run = await client.actor("davidbenittah/unanswered-google-reviews-finder").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 = { "places": ["ChIJMYwentXB9EcRnD1RBwe9lmo"] } # Run the Actor and wait for it to finish run = client.actor("davidbenittah/unanswered-google-reviews-finder").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 '{ "places": [ "ChIJMYwentXB9EcRnD1RBwe9lmo" ] }' | apify call davidbenittah/unanswered-google-reviews-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=davidbenittah/unanswered-google-reviews-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Unanswered Google Reviews Finder", "description": "Find Google reviews with no owner reply for 7+ days across your listings, each with a ready-to-edit reply draft matched to the review's tone.", "version": "1.0", "x-build-id": "XTOPA6EsHHtqmMa8h" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/davidbenittah~unanswered-google-reviews-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-davidbenittah-unanswered-google-reviews-finder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/davidbenittah~unanswered-google-reviews-finder/runs": { "post": { "operationId": "runs-sync-davidbenittah-unanswered-google-reviews-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/davidbenittah~unanswered-google-reviews-finder/run-sync": { "post": { "operationId": "run-sync-davidbenittah-unanswered-google-reviews-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "places" ], "properties": { "places": { "title": "Google Maps listings to check", "type": "array", "description": "Google Maps Place IDs (ChIJ..., most reliable) or full Google Maps place URLs. Hard maximum: 50 places per run.", "items": { "type": "string" } }, "olderThanDays": { "title": "Flag reviews unanswered for at least (days)", "minimum": 0, "maximum": 365, "type": "integer", "description": "Only reviews without an owner reply older than this many days are reported. Set 0 to flag every unanswered review.", "default": 7 }, "maxReviewsPerPlace": { "title": "Newest reviews checked per place", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many of the newest reviews to scan per listing. Hard maximum: 100.", "default": 30 }, "replyLanguage": { "title": "Reply draft language", "enum": [ "en", "fr" ], "type": "string", "description": "Language of the generated reply drafts.", "default": "en" }, "language": { "title": "Scraping language", "type": "string", "description": "Language code for fetching place details (e.g. 'en', 'fr').", "default": "en" }, "reportOnce": { "title": "Report each review only once", "type": "boolean", "description": "When enabled, a review already flagged in a previous run is not flagged again — the dataset acts as a to-do inbox. Disable to get the full unanswered backlog on every run.", "default": true }, "monitorId": { "title": "Custom monitor ID", "type": "string", "description": "Optional. Advanced: separate 'already reported' memories for the same listings, or reset one by changing the ID." } } }, "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 } } } } } } } } } } ```