# Review Intelligence Analyzer (`magicfingers/review-intelligence`) Actor Scrapes reviews from ANY website (Amazon, Google Maps, Trustpilot, Yelp, G2, etc.) and uses LLM to generate actionable business intelligence: sentiment analysis, theme extraction, competitive insights, trend analysis, and executive summaries. - **URL**: https://apify.com/magicfingers/review-intelligence.md - **Developed by:** [abdulrahman alrashid](https://apify.com/magicfingers) (community) - **Categories:** Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 undefined # Actor input Schema ## `urls` (type: `array`): URLs of product/business pages with reviews. Supports Amazon, Google Maps, Trustpilot, Yelp, G2, Capterra, TripAdvisor, or any site with reviews. ## `maxReviewsPerUrl` (type: `integer`): Maximum number of reviews to scrape per URL. More reviews = better analysis but longer runtime and higher LLM cost. ## `llmProvider` (type: `string`): Choose your LLM provider for AI-powered analysis. If no API key is provided, falls back to basic keyword analysis. ## `llmApiKey` (type: `string`): Your OpenAI or Anthropic API key. Required for AI-powered analysis. Leave empty for basic keyword-based analysis. ## `llmModel` (type: `string`): Model to use for analysis. Leave empty for recommended default (gpt-4o-mini for OpenAI, claude-3-haiku-20240307 for Anthropic). ## `language` (type: `string`): Language for the analysis output. ## `includeCompetitorComparison` (type: `boolean`): Extract and analyze competitor mentions from reviews. ## `proxyConfiguration` (type: `object`): Optional proxy settings. The actor works without proxy but may get blocked on some sites. ## Actor input object example ```json { "urls": [ "https://www.amazon.com/dp/B0BSHF7WHW" ], "maxReviewsPerUrl": 5, "llmProvider": "none", "language": "English", "includeCompetitorComparison": 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 = { "urls": [ "https://www.amazon.com/dp/B0BSHF7WHW" ], "maxReviewsPerUrl": 5, "llmProvider": "none", "language": "English", "includeCompetitorComparison": true }; // Run the Actor and wait for it to finish const run = await client.actor("magicfingers/review-intelligence").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 = { "urls": ["https://www.amazon.com/dp/B0BSHF7WHW"], "maxReviewsPerUrl": 5, "llmProvider": "none", "language": "English", "includeCompetitorComparison": True, } # Run the Actor and wait for it to finish run = client.actor("magicfingers/review-intelligence").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 '{ "urls": [ "https://www.amazon.com/dp/B0BSHF7WHW" ], "maxReviewsPerUrl": 5, "llmProvider": "none", "language": "English", "includeCompetitorComparison": true }' | apify call magicfingers/review-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=magicfingers/review-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Review Intelligence Analyzer", "description": "Scrapes reviews from ANY website (Amazon, Google Maps, Trustpilot, Yelp, G2, etc.) and uses LLM to generate actionable business intelligence: sentiment analysis, theme extraction, competitive insights, trend analysis, and executive summaries.", "version": "1.0", "x-build-id": "UvBQWSAsShPckkI3c" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/magicfingers~review-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-magicfingers-review-intelligence", "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/magicfingers~review-intelligence/runs": { "post": { "operationId": "runs-sync-magicfingers-review-intelligence", "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/magicfingers~review-intelligence/run-sync": { "post": { "operationId": "run-sync-magicfingers-review-intelligence", "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": [ "urls" ], "properties": { "urls": { "title": "Review Page URLs", "type": "array", "description": "URLs of product/business pages with reviews. Supports Amazon, Google Maps, Trustpilot, Yelp, G2, Capterra, TripAdvisor, or any site with reviews.", "items": { "type": "string" } }, "maxReviewsPerUrl": { "title": "Max Reviews Per URL", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of reviews to scrape per URL. More reviews = better analysis but longer runtime and higher LLM cost.", "default": 100 }, "llmProvider": { "title": "LLM Provider", "enum": [ "openai", "anthropic", "none" ], "type": "string", "description": "Choose your LLM provider for AI-powered analysis. If no API key is provided, falls back to basic keyword analysis.", "default": "openai" }, "llmApiKey": { "title": "LLM API Key", "type": "string", "description": "Your OpenAI or Anthropic API key. Required for AI-powered analysis. Leave empty for basic keyword-based analysis." }, "llmModel": { "title": "LLM Model", "type": "string", "description": "Model to use for analysis. Leave empty for recommended default (gpt-4o-mini for OpenAI, claude-3-haiku-20240307 for Anthropic)." }, "language": { "title": "Analysis Language", "type": "string", "description": "Language for the analysis output.", "default": "English" }, "includeCompetitorComparison": { "title": "Include Competitor Comparison", "type": "boolean", "description": "Extract and analyze competitor mentions from reviews.", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optional proxy settings. The actor works without proxy but may get blocked on some sites." } } }, "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 } } } } } } } } } } ```