# TrustRadius Scraper (`jungle_synthesizer/trustradius-scraper`) Actor Scrape software reviews and product data from TrustRadius. Extract ratings, trScores, reviewer details, pros/cons, and company metadata for competitive intelligence and market research. - **URL**: https://apify.com/jungle\_synthesizer/trustradius-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Lead generation, Business, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## TrustRadius Scraper Extract software product data and verified reviews from [TrustRadius](https://www.trustradius.com), the third-largest B2B software review platform. Get trScores, ratings, reviewer company metadata, pros/cons, and usage details for competitive intelligence and SaaS market research. ### What data does it extract? **Product records** include: - Product name, vendor, category, and subcategories - Overall rating (out of 10) and TrustRadius proprietary trScore - Review and rating counts - Deployment types (SaaS, On-Premise, etc.) - Starting price and pricing terms - Commonly compared alternatives - Customer Verified badge status **Review records** include: - Reviewer name, job title, company, company size, and industry - Individual review rating (out of 10) - Review title, pros, cons, and product usage description - Verification status (TrustRadius reviews require LinkedIn authentication) - Published date ### Input options | Field | Description | Default | |-------|-------------|---------| | `productUrls` | Direct TrustRadius product URLs to scrape | `[]` | | `searchQuery` | Keyword to search for products (e.g., "CRM", "project management") | `"project management"` | | `maxItems` | Maximum number of products to scrape | `50` | | `includeReviews` | Extract individual reviews for each product | `true` | | `maxReviewsPerProduct` | Maximum reviews per product (5 per page) | `10` | #### Input modes 1. **Direct URLs** -- Provide specific product review page URLs via `productUrls`. Each URL is scraped directly. 2. **Search** -- Set `searchQuery` to discover products by keyword. The actor searches via the `/products` listing pages and then scrapes each product found. 3. **Browse all** -- Leave both `productUrls` and `searchQuery` empty to browse all products from the main listing. ### Example input Scrape 3 specific products with their reviews: ```json { "productUrls": [ "https://www.trustradius.com/products/miro/reviews", "https://www.trustradius.com/products/hubspot-crm/reviews", "https://www.trustradius.com/products/slack/reviews" ], "maxItems": 3, "includeReviews": true, "maxReviewsPerProduct": 5 } ```` Search for CRM products without reviews: ```json { "searchQuery": "CRM", "maxItems": 10, "includeReviews": false } ``` ### Output format Results are saved to the default dataset. Each record has a `recordType` field: `"product"` for product summaries, `"review"` for individual reviews. Product fields are populated on product records; reviewer fields are populated on review records. #### Sample product record ```json { "recordType": "product", "productName": "Miro", "vendorName": "Miro", "category": "Visual Collaboration", "subcategories": "Agile Development, Collaboration, Mind Mapping, Project Management", "overallRating": 9.2, "trScore": 9.181, "reviewCount": 6244, "ratingCount": 3485, "deploymentTypes": "saas", "pricingModel": "$10/per user per month", "alternativesCompared": "Mural, Lucid Visual Collaboration Suite", "isCustomerVerified": true, "productUrl": "https://www.trustradius.com/products/miro/reviews" } ``` #### Sample review record ```json { "recordType": "review", "productName": "Miro", "reviewerName": "Sharon Williams", "reviewerTitle": "Product Manager", "reviewerCompany": "Inmar Intelligence", "reviewerCompanySize": "1001-5000 employees", "reviewerIndustry": "Information Technology & Services", "reviewRating": 10, "reviewTitle": "Makes Workflows Easy.", "reviewPros": "Workflow.\nTimelines.\nSprint Planning.", "reviewCons": "Make it easier to connect and reconnect boxes.", "reviewUsage": "I regularly use Miro to help with sprint planning...", "isVerifiedReview": true, "reviewDate": "2026-04-14T19:41:47.943Z" } ``` ### Performance - Runs on 512 MB memory - No proxy required (direct requests work) - Typical crawl: 5 products with reviews in ~30 seconds - No Cloudflare challenges on product pages (only the `/search` endpoint is protected) ### Need more features? If you need additional data fields or a custom scraper for another review platform, file an issue or get in touch. We are always open to customizing the scraper to suit your needs. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `productUrls` (type: `array`): Direct TrustRadius product review URLs (e.g., https://www.trustradius.com/products/miro/reviews). Overrides search query if provided. ## `searchQuery` (type: `string`): Search for software products by name or keyword (e.g., 'CRM', 'project management'). Used when no direct URLs are provided. ## `maxItems` (type: `integer`): Maximum number of software products to scrape. ## `includeReviews` (type: `boolean`): Extract individual reviews for each product. Each review becomes a separate dataset record with full reviewer details. ## `maxReviewsPerProduct` (type: `integer`): Maximum number of reviews to extract per product. TrustRadius shows 5 reviews per page. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "productUrls": [], "searchQuery": "project management", "maxItems": 10, "includeReviews": true, "maxReviewsPerProduct": 10 } ``` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "productUrls": [], "searchQuery": "project management", "maxItems": 10, "includeReviews": true, "maxReviewsPerProduct": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/trustradius-scraper").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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "productUrls": [], "searchQuery": "project management", "maxItems": 10, "includeReviews": True, "maxReviewsPerProduct": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/trustradius-scraper").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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "productUrls": [], "searchQuery": "project management", "maxItems": 10, "includeReviews": true, "maxReviewsPerProduct": 10 }' | apify call jungle_synthesizer/trustradius-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/trustradius-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TrustRadius Scraper", "description": "Scrape software reviews and product data from TrustRadius. Extract ratings, trScores, reviewer details, pros/cons, and company metadata for competitive intelligence and market research.", "version": "0.1", "x-build-id": "wVzBiQT6hvRVzfF0Y" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~trustradius-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-trustradius-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~trustradius-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-trustradius-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~trustradius-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-trustradius-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "productUrls": { "title": "Product URLs", "type": "array", "description": "Direct TrustRadius product review URLs (e.g., https://www.trustradius.com/products/miro/reviews). Overrides search query if provided.", "items": { "type": "string" } }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Search for software products by name or keyword (e.g., 'CRM', 'project management'). Used when no direct URLs are provided." }, "maxItems": { "title": "Max Products", "type": "integer", "description": "Maximum number of software products to scrape.", "default": 50 }, "includeReviews": { "title": "Include Reviews", "type": "boolean", "description": "Extract individual reviews for each product. Each review becomes a separate dataset record with full reviewer details.", "default": true }, "maxReviewsPerProduct": { "title": "Max Reviews Per Product", "type": "integer", "description": "Maximum number of reviews to extract per product. TrustRadius shows 5 reviews per page.", "default": 10 } } }, "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 } } } } } } } } } } ```