# Trustpilot User Profile & Reviews Scraper (`saswave/trustpilot-user-profile-reviews-scraper`) Actor $1 / 1000 results. Allows you to extract full user profile overviews alongside their complete historical reviews. Gathers deep behavioral insights, cross-company feedback histories, profile engagement stats, and review verification metadata. - **URL**: https://apify.com/saswave/trustpilot-user-profile-reviews-scraper.md - **Developed by:** [SASWAVE](https://apify.com/saswave) (community) - **Categories:** Automation, Lead generation, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $0.80 / 1,000 results 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ### Trustpilot User Profile & Reviews Scraper Allows you to extract full user profile overviews alongside their complete historical reviews. Gathers deep behavioral insights, cross-company feedback histories, profile engagement stats, and review verification metadata. ### 🔹 Features Complete Profile Metrology: Capture high-level user metrics, including display name (displayName), home country (country), global review count (reviewsCount), profile picture (profilePicture), total reads (readsCount), and total community likes (likesCount). Historical Review Extraction: Scrape every review submitted by a target user across multiple companies, capturing full text content (text), titles (title), star ratings (rating), and language tags (language). Verification & Source Auditing: Extract granular compliance and verification details (labels.verification), such as whether a review was organic, verified via documentation (verificationSource), or submitted through an automated invitation link. Target Business Context: Map each user review back to the exact target business entity (businessUnit), including company ID, display name, and canonical domain URL (identifyingName). Cross-Domain Activity Tracking: Inspect how many times a user has reviewed the same domain (consumersReviewCountOnSameDomain) to spot repeat brand engagement or targeted feedback patterns. ### 🔹 Use Cases Review Fraud & Fake Profile Detection: Identify astroturfing campaigns, bot rings, or suspicious account networks by auditing user account creation dates, verification levels, and multi-domain review velocity. Customer Journey & Cross-Brand Research: Analyze consumer purchasing behavior by tracking which brands, services, or competitors individual reviewers engage with over time. Influencer & Power Reviewer Discovery: Surface high-authority reviewers on Trustpilot—users whose reviews amass thousands of community reads (readsCount) and likes—for brand advocacy or ambassador programs. Competitor Churn & Switching Analysis: Track users leaving negative reviews on competitor pages to see where else they shop, what alternatives they review, and what specific service gaps trigger their switching behavior. ### OUTPUT Profile Overview ```json { "id": "5ef9d9e3da4da6392f255b63", "country": "United Kingdom", "displayName": "Audrey Fleming", "numberOfReviews": 22, "verified": false, "profilePicture": "//user-images.trustpilot.com/default/v1/73x73.png", "readsCount": 2736, "likesCount": 7, "reviewsCount": 23 } ```` Review ```json { "id": "6a4c9f069cb4fdc26a7f57fe", "filtered": false, "isPending": false, "text": "I had a bus booked to take me from one city to another, directly to the airport. It was more costly than both the earlier and later buses so clearly a busy service. The evening before the journey I received an email to say the bus was cancelled. I was offered to switch to either earlier or later bus for free but if those buses were suitable I would have booked them in the first place! Also, they were both much cheaper and if I switched I would have been paying more than the original cost of those buses. I canceled and at least got an immediate refund. I can't help thinking that this was a scheme to collect more money in fares then switch people to less popular buses. It was the first time I thought I would try Flix to get to the airport. I won't try again.", "rating": 1, "labels": { "merged": null, "verification": { "isVerified": true, "createdDateTime": "2026-07-07T08:39:02.000Z", "reviewSourceName": "Organic", "verificationSource": "complianceDocumentation", "verificationLevel": "verified", "hasDachExclusion": false } }, "title": "Inconvenient late cancellation of bus", "likes": 0, "source": "Organic", "dates": { "experiencedDate": "2026-07-05T00:00:00.000Z", "publishedDate": "2026-07-07T08:39:02.000Z", "updatedDate": null, "submittedDate": null }, "report": null, "hasUnhandledReports": false, "consumer": { "id": "5ef9d9e3da4da6392f255b63", "displayName": "Audrey Fleming", "imageUrl": "", "numberOfReviews": 22, "countryCode": "GB", "hasImage": false, "isVerified": false }, "reply": null, "consumersReviewCountOnSameDomain": 1, "consumersReviewCountOnSameLocation": null, "productReviews": [], "language": "en", "location": null, "businessUnit": { "id": "55eea4ca0000ff0005831156", "displayName": "FlixBus", "identifyingName": "flixbus.com" }, "review_type": "service" } ``` ### 🛟 SUPPORT Share your runs with the developer team and create issues on error to help us improve actor quality. You might discover edge case we didn't test yet We stay available anytime # Actor input Schema ## `users` (type: `array`): Extract reviews from a target domain name. ex: saswave.com for https://www.trustpilot.com/review/saswave.com ## `feature` (type: `string`): Select feature scraper ## `max_pages` (type: `integer`): 0 or empty = no limit ## Actor input object example ```json { "users": [ "5ef9d9e3da4da6392f255b63" ], "feature": "reviews", "max_pages": 1 } ``` # 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 = { "users": [ "5ef9d9e3da4da6392f255b63" ], "feature": "reviews" }; // Run the Actor and wait for it to finish const run = await client.actor("saswave/trustpilot-user-profile-reviews-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 = { "users": ["5ef9d9e3da4da6392f255b63"], "feature": "reviews", } # Run the Actor and wait for it to finish run = client.actor("saswave/trustpilot-user-profile-reviews-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 '{ "users": [ "5ef9d9e3da4da6392f255b63" ], "feature": "reviews" }' | apify call saswave/trustpilot-user-profile-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=saswave/trustpilot-user-profile-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Trustpilot User Profile & Reviews Scraper", "description": "$1 / 1000 results. Allows you to extract full user profile overviews alongside their complete historical reviews. Gathers deep behavioral insights, cross-company feedback histories, profile engagement stats, and review verification metadata.", "version": "0.0", "x-build-id": "dOUemAinGoEaBiPbz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/saswave~trustpilot-user-profile-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-saswave-trustpilot-user-profile-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/saswave~trustpilot-user-profile-reviews-scraper/runs": { "post": { "operationId": "runs-sync-saswave-trustpilot-user-profile-reviews-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/saswave~trustpilot-user-profile-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-saswave-trustpilot-user-profile-reviews-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", "required": [ "users", "feature" ], "properties": { "users": { "title": "Website domain name lists", "type": "array", "description": "Extract reviews from a target domain name. ex: saswave.com for https://www.trustpilot.com/review/saswave.com", "items": { "type": "string" } }, "feature": { "title": "Feature", "enum": [ "overview", "reviews" ], "type": "string", "description": "Select feature scraper" }, "max_pages": { "title": "Maximum page", "minimum": 0, "type": "integer", "description": "0 or empty = no limit", "default": 1 } } }, "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 } } } } } } } } } } ```