# ๐ŸŒUniversal Google Review Auditor Pro (`elite_scraping/ai-reputation-auditor`) Actor Automatically find and audit any business in any city. This tool identifies reputation "pain points" like slow service, high prices, or missing websites. It generates custom outreach pitches to help you turn cold leads into clients by solving their specific problems. Fast and easy to use! - **URL**: https://apify.com/elite\_scraping/ai-reputation-auditor.md - **Developed by:** [Elite Scrapers International](https://apify.com/elite_scraping) (community) - **Categories:** Lead generation, Automation, AI - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $30.00 / 1,000 audited leads This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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 ## ๐ŸŒ Universal Google Review Auditor Pro > **Elite Scrapers International | 2026 AI Reputation Audit Series** The **Universal Google Review Auditor Pro** is not just a scraperโ€”it is an AI-driven decision engine. While basic scrapers simply collect text, our **Absolute Audit** technology analyzes every review to identify critical reputation risks and provide actionable professional advice for business owners. ### ๐Ÿš€ Key Features * **AI-Powered Risk Detection:** Automatically flags reviews below 4 stars as "Reputation Risk." * **Professional Elite Tips:** Generates automated advice for each review, helping agencies sell reputation management services. * **Bulletproof 2026 Logic:** Built with advanced try-catch error handling to ensure 100% uptime and bypass common bot-detection hurdles. * **Pay-Per-Result (PPE):** Predictable pricing. Only pay for the high-quality audits you actually receive. --- ### ๐Ÿ› ๏ธ How to Use (Usage) 1. **Select Your Targets:** Enter a list of business names or categories (e.g., `Pizza in Dubai` or `Elite Dental New York`). 2. **Set Your Depth:** Choose how many reviews you want to audit per business (we recommend starting with 10 for a broad health check). 3. **Run the Audit:** Hit the green **Start** button. 4. **Download Your Report:** View your results in the "Output" tab or export them as a professional CSV/JSON table for your clients. ### ๐Ÿ“Š Example Output (Data Preview) | Business Name | Rating | Risk Status | Elite Advice | | :--- | :--- | :--- | :--- | | Sunset Cafe | 3.2 โญ | ๐Ÿšจ REPUTATION RISK | Immediate response required: Mention of slow service. | | Tech Hub | 4.8 โญ | โœ… HEALTHY | Maintain strategy: High customer loyalty detected. | ### ๐Ÿ’ฐ Pricing: Pay-Per-Event (PPE) We use the **Pay-Per-Result** model so you can scale with confidence. * **Starting Fee:** $0.00005 per Actor start (includes free platform compute). * **Audit Fee:** $0.01 per audited review result. * **Scale:** $1.00 = 100 professional reputation audits. --- **Elite Scrapers International** - *Turning raw data into business intelligence.* # Actor input Schema ## `searchQueries` (type: `array`): Enter the business names you want to audit (e.g., 'Pizza Dubai'). ## `maxReviews` (type: `integer`): How many reviews should I pull for each business? ## Actor input object example ```json { "searchQueries": [ "Business in Dubai" ], "maxReviews": 5 } ```` # Actor output Schema ## `businessName` (type: `string`): No description ## `stars` (type: `string`): No description ## `text` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "Business in Dubai" ] }; // Run the Actor and wait for it to finish const run = await client.actor("elite_scraping/ai-reputation-auditor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "searchQueries": ["Business in Dubai"] } # Run the Actor and wait for it to finish run = client.actor("elite_scraping/ai-reputation-auditor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQueries": [ "Business in Dubai" ] }' | apify call elite_scraping/ai-reputation-auditor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=elite_scraping/ai-reputation-auditor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "๐ŸŒUniversal Google Review Auditor Pro", "description": "Automatically find and audit any business in any city. This tool identifies reputation \"pain points\" like slow service, high prices, or missing websites. It generates custom outreach pitches to help you turn cold leads into clients by solving their specific problems. Fast and easy to use!", "version": "0.0", "x-build-id": "AG9p3PKQ6RvvLVEg9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/elite_scraping~ai-reputation-auditor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-elite_scraping-ai-reputation-auditor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/elite_scraping~ai-reputation-auditor/runs": { "post": { "operationId": "runs-sync-elite_scraping-ai-reputation-auditor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/elite_scraping~ai-reputation-auditor/run-sync": { "post": { "operationId": "run-sync-elite_scraping-ai-reputation-auditor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQueries" ], "properties": { "searchQueries": { "title": "Business Name or Category", "type": "array", "description": "Enter the business names you want to audit (e.g., 'Pizza Dubai').", "items": { "type": "string" } }, "maxReviews": { "title": "Max Reviews per Business", "minimum": 1, "type": "integer", "description": "How many reviews should I pull for each business?", "default": 5 } } }, "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 } } } } } } } } } } ```