# AI Review Analyzer: Sentiment & Insights from Review Sites (`asvm/ai-review-analyzer`) Actor Scrape reviews from any review site and get AI-powered insights: sentiment, pain points, strengths, and recommendations. Works with SiteJabber, TripAdvisor, Booking.com, Yelp, Trustpilot, and more. No API key needed. $0.015 per URL. - **URL**: https://apify.com/asvm/ai-review-analyzer.md - **Developed by:** [ASVM Studio](https://apify.com/asvm) (community) - **Categories:** AI, Lead generation, E-commerce - **Stats:** 2 total users, 0 monthly users, 83.3% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 review analyses This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## AI Review Analyzer: Sentiment & Insights from Review Sites Scrape customer reviews from ANY review website and get AI-powered business intelligence: sentiment analysis, customer pain points, competitive strengths, and strategic recommendations. No CSS selectors, no API keys, no per-site configuration needed. ### ⚡ What It Does 1. **Scrapes** customer reviews from any review page URL you provide 2. **Extracts** every review using AI (author, rating, text, date), adapting to any page layout automatically 3. **Analyzes** all reviews with AI for deep business intelligence: sentiment distribution, recurring themes, customer pain points, competitive strengths, and actionable recommendations 4. **Outputs** structured dataset: raw reviews + comprehensive AI analysis report No CSS selectors. No site-specific code. The AI adapts to any page structure. When a website changes its design, the AI still works, no maintenance needed. ### 🏆 Why This Actor vs Competitors | Feature | **AI Review Analyzer** | Other AI Scrapers | Traditional Scrapers | |---------|----------------------|-------------------|---------------------| | AI sentiment analysis | Full report with themes, pain points, recommendations | Raw data only | Raw data only | | Works on any review site | Universal | Universal | Per-site code | | API key needed | AI tokens included | Bring your own | N/A | | Adapts to layout changes | AI-powered | AI-powered | Breaks on changes | | Price per URL | **$0.015** | $0.020-$0.025 | $0.003 (no AI) | | Custom instructions | Per-run custom prompt | Fixed schema | N/A | | Competitive intelligence mode | Strategic recommendations | No | No | Other Actors give you raw review data. This Actor gives you raw data PLUS AI-generated business insights: what customers love, what they hate, and what to do about it. Plus, it costs less. ### 📋 Supported Sites This Actor works on any page with customer reviews. Here are some popular sites: | Site | Works out of the box | Needs residential proxy | |------|:---:|:---:| | SiteJabber | Yes | | | Booking.com | Yes | | | TrustSpot / RaveCapture | Yes | | | Glassdoor | | Recommended | | TripAdvisor | | Recommended | | Yelp | | Recommended | | ProductHunt | | Recommended | | Capterra | | Recommended | | Trustpilot | | Recommended | | G2 | | Recommended | | ConsumerAffairs | | Recommended | | Etsy | | Recommended | | Other review sites | Yes | For sites with anti-bot protection | For sites in the "Needs residential proxy" column, enable residential proxy in Apify run settings for best results. ### 📥 Input | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `startUrls` | array | Yes | localhost example | URLs of review pages | | `maxReviews` | integer | No | 10 | Max reviews to extract per URL (1-500) | | `analysisType` | enum | No | `detailed` | `summary`, `detailed`, or `competitive` | | `customPrompt` | string | No | empty | Extra AI instructions (e.g. "Focus on shipping complaints" or "Output in Indonesian") | #### Example Input ```json { "startUrls": [ { "url": "https://www.sitejabber.com/reviews/amazon.com" }, { "url": "https://www.tripadvisor.com/Restaurant_Review-g294229-d1234567-Reviews-..." } ], "maxReviews": 10, "analysisType": "detailed", "customPrompt": "Focus on customer service quality and shipping speed" } ```` ### 📤 Output #### Review Records (`type: "review"`) Each individual extracted review with rating, author, text, and date. #### Analysis Record (`type: "analysis"`) AI-generated insights per URL: - `overallSentiment`: positive / neutral / negative - `averageRating`: computed from extracted ratings - `sentimentDistribution`: percentage breakdown - `topThemes`: most mentioned topics with per-theme sentiment - `customerPainPoints`: top issues customers complain about - `competitiveStrengths`: what customers praise most - `keyQuotes`: representative quotes from real reviews - `recommendations`: actionable business recommendations **Competitive Intelligence mode** adds: - `competitiveWeaknesses`: areas competitors could exploit - `strategicRecommendations`: with priority, impact, timeframe - `marketingOpportunities`: angles derived from positive reviews - `improvementActions`: immediate fixes from negative reviews ### 💰 Pricing **$0.015 per URL analyzed** ($15 per 1,000 URLs). All analysis types included at the same flat price. | Volume | Cost | |--------|------| | 10 URLs | ~$0.15 | | 100 URLs | ~$1.50 | | 1,000 URLs | ~$15.00 | No hidden costs. No API key required. AI tokens included in the price. ### 🎯 Use Cases - **Business owners**: understand what customers really think across review platforms - **Marketers**: competitive intelligence on competitors' reviews and reputation - **Sales teams**: pre-meeting research on prospects and their customers - **Investors**: due diligence on retail, F\&B, hospitality businesses - **Agencies**: batch analysis for client reputation reports - **Product managers**: aggregate user feedback across platforms into actionable insights - **AI agents**: MCP-compatible for automated review monitoring workflows ### 🔧 Technical - **Runtime**: Node.js 20 (Apify platform) - **Crawler**: HTTP-based (got-scraping), fast and cost-efficient - **AI Model**: Included (Advanced AI, fast, accurate, JSON-structured output) - **Memory**: 512 MB (default) - **Timeout**: 300s default # Actor input Schema ## `startUrls` (type: `array`): URLs of review pages. Works with SiteJabber, TripAdvisor, Booking.com, Yelp, Trustpilot, Glassdoor, ProductHunt, Capterra, and any page that contains customer reviews. ## `maxReviews` (type: `integer`): Maximum reviews to extract per URL. ## `analysisType` (type: `string`): Depth of AI analysis. All modes included at the same flat price. ## `customPrompt` (type: `string`): Extra instructions for the AI analyst. Example: 'Focus on shipping complaints' or 'Compare with competitor X' or 'Output in Indonesian'. Leave empty for default analysis. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.sitejabber.com/reviews/amazon.com" } ], "maxReviews": 10, "analysisType": "detailed", "customPrompt": "" } ``` # Actor output Schema ## `reviews` (type: `string`): Individual customer reviews extracted from the page, each with author, rating, text, and date. Source: JSON-LD structured data or AI extraction. # 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("asvm/ai-review-analyzer").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("asvm/ai-review-analyzer").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 asvm/ai-review-analyzer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=asvm/ai-review-analyzer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AI Review Analyzer: Sentiment & Insights from Review Sites", "description": "Scrape reviews from any review site and get AI-powered insights: sentiment, pain points, strengths, and recommendations. Works with SiteJabber, TripAdvisor, Booking.com, Yelp, Trustpilot, and more. No API key needed. $0.015 per URL.", "version": "1.0", "x-build-id": "gQeVHgQhVreCYcOCk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/asvm~ai-review-analyzer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-asvm-ai-review-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/asvm~ai-review-analyzer/runs": { "post": { "operationId": "runs-sync-asvm-ai-review-analyzer", "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/asvm~ai-review-analyzer/run-sync": { "post": { "operationId": "run-sync-asvm-ai-review-analyzer", "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": [ "startUrls" ], "properties": { "startUrls": { "title": "Review Page URLs", "type": "array", "description": "URLs of review pages. Works with SiteJabber, TripAdvisor, Booking.com, Yelp, Trustpilot, Glassdoor, ProductHunt, Capterra, and any page that contains customer reviews.", "items": { "type": "object", "properties": { "url": { "type": "string", "title": "URL", "description": "URL of a page containing reviews" } } }, "default": [ { "url": "https://www.sitejabber.com/reviews/amazon.com" } ] }, "maxReviews": { "title": "Max Reviews Per URL", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum reviews to extract per URL.", "default": 10 }, "analysisType": { "title": "Analysis Type", "enum": [ "summary", "detailed", "competitive" ], "type": "string", "description": "Depth of AI analysis. All modes included at the same flat price.", "default": "detailed" }, "customPrompt": { "title": "Custom Instructions (optional)", "type": "string", "description": "Extra instructions for the AI analyst. Example: 'Focus on shipping complaints' or 'Compare with competitor X' or 'Output in Indonesian'. Leave empty for default analysis.", "default": "" } } }, "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 } } } } } } } } } } ```