# Trustpilot Scraper (`mm_actors/trustpilot-apify-actor`) Actor Scrape reviews from Trustpilot. - **URL**: https://apify.com/mm\_actors/trustpilot-apify-actor.md - **Developed by:** [MedMatch Team](https://apify.com/mm_actors) (community) - **Categories:** E-commerce, Lead generation, News - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.10 / 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. 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 ## Trustpilot Reviews Scraper Scrape customer reviews for any business listed on Trustpilot. This Apify actor uses Chrome impersonation via `curl_cffi` with your browser cookies to bypass bot detection and extract structured review data. ### Capabilities - Scrape reviews from any Trustpilot business page - Extract both recent and historical reviews - Get structured data including: - Review text and titles - Star ratings (1-5) - Reviewer names and country - Review dates - Review language - Business reply text and date - Filter by date range or number of pages - Filter by review language - Chrome impersonation with injected cookies for reliable access ### Input Format Provide input in JSON format with the following parameters: ```json { "tp_domain": "nike.com", "page_count": 10, "languages": "all", "cookies": [ { "name": "session", "value": "abc123", "domain": ".trustpilot.com", "path": "/" } ] } ```` - `tp_domain` (required): The business slug from the Trustpilot URL, e.g. `nike.com` from `trustpilot.com/review/nike.com` - `cookies` (required): Your Trustpilot browser cookies — see [Passing Cookies](#passing-cookies) below - `page_count` (optional): Maximum number of review pages to scrape (20 reviews per page). Leave blank when using date filtering. - `start_date` (optional): Only keep reviews on or after this date (`YYYY-MM-DD`). Cannot be used together with `page_count`. - `end_date` (optional): Only keep reviews on or before this date (`YYYY-MM-DD`). Defaults to today if `start_date` is set. - `languages` (optional): Comma-separated language codes to filter reviews, e.g. `en,de,fr`. Defaults to `all`. - `proxy_settings` (optional): Apify proxy configuration object. ### Passing Cookies Trustpilot uses bot detection that requires valid browser cookies to access review pages reliably. You need to export cookies from a logged-in browser session and paste them into the `cookies` input field. #### How to export cookies 1. Open [trustpilot.com](https://www.trustpilot.com) in Chrome or Firefox and log in (or simply browse normally to get session cookies set) 2. Install a browser extension such as [EditThisCookie](https://www.editthiscookie.com/) (Chrome) or [Cookie Quick Manager](https://addons.mozilla.org/en-US/firefox/addon/cookie-quick-manager/) (Firefox) 3. Click the extension icon while on `trustpilot.com` and export all cookies as JSON 4. Paste the exported array directly into the `cookies` field of the actor input The exported format should look like this: ```json [ { "name": "OptanonConsent", "value": "...", "domain": ".trustpilot.com", "path": "/" }, { "name": "tp.session", "value": "...", "domain": ".trustpilot.com", "path": "/" } ] ``` > **Note:** Cookies expire over time. If the actor starts returning errors or empty results, re-export fresh cookies from your browser. ### Date Filtering When `start_date` is provided, the actor scrapes pages in recency order and stops once it encounters 10 consecutive reviews older than the start date. This means it may scrape more pages than strictly necessary — set a `page_count` cap alongside the date filter if you want to limit resource usage. ```json { "tp_domain": "nike.com", "start_date": "2024-01-01", "end_date": "2024-03-31", "cookies": [...] } ``` ### Output Information The actor returns a dataset of reviews with the following structure: ```json { "ID": "abc123def456", "Reviewer": "Jane Smith", "Country": "GB", "Date": "2024-03-15", "Title": "Great product, fast delivery", "ReviewText": "Really happy with my purchase...", "Rating": 5, "Language": "en", "BusinessReply": "Thank you for your feedback!", "BusinessReplyDate": "2024-03-16", "ReviewURL": "https://www.trustpilot.com/reviews/abc123def456" } ``` #### Field Descriptions | Field | Description | |-------|-------------| | `ID` | Unique identifier for the review | | `Reviewer` | Display name of the reviewer | | `Country` | Two-letter country code of the reviewer | | `Date` | Date the review was published (`YYYY-MM-DD`) | | `Title` | Title of the review | | `ReviewText` | Full text content of the review | | `Rating` | Star rating (1–5) | | `Language` | Language code of the review (e.g. `en`, `de`) | | `BusinessReply` | Business response text, if any | | `BusinessReplyDate` | Date the business responded (`YYYY-MM-DD`) | | `ReviewURL` | Direct link to the review on Trustpilot | ### Usage 1. **Export cookies**: Follow the steps in [Passing Cookies](#passing-cookies) above 2. **Configure input**: Provide the `tp_domain`, your cookies, and optional page/date limits 3. **Run the actor**: Execute via the Apify platform, API, or CLI (`apify run`) 4. **Access results**: Retrieve structured review data from the dataset For detailed usage instructions on Apify, see the [Apify documentation](https://docs.apify.com/platform). # Actor input Schema ## `tp_domain` (type: `string`): The business slug from the Trustpilot URL, e.g. 'example.com' from trustpilot.com/review/example.com ## `page_count` (type: `integer`): Maximum number of review pages to scrape (20 reviews per page). Leave blank when using date filtering. ## `start_date` (type: `string`): Only keep reviews on or after this date (YYYY-MM-DD). Requires scraping all pages until reviews are older than this date. ## `end_date` (type: `string`): Only keep reviews on or before this date (YYYY-MM-DD). Defaults to today if start\_date is set. ## `cookies` (type: `array`): Trustpilot cookies as a JSON array of {name, value, domain, path} objects. Export from browser DevTools or a cookie extension. ## `languages` (type: `string`): Comma-separated language codes to filter reviews (e.g. 'en,de,fr'). Defaults to 'all'. ## `request_delay` (type: `number`): Seconds to wait between page requests. Increase to reduce the chance of being blocked. Defaults to 0.5. ## `proxy_settings` (type: `object`): Apify proxy configuration. ## Actor input object example ```json { "languages": "all", "request_delay": 0.5 } ``` # Actor output Schema ## `reviews` (type: `string`): Complete review data including reviewer info, ratings, business replies, and review URLs. # 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("mm_actors/trustpilot-apify-actor").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("mm_actors/trustpilot-apify-actor").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 mm_actors/trustpilot-apify-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mm_actors/trustpilot-apify-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Trustpilot Scraper", "description": "Scrape reviews from Trustpilot.", "version": "1.0", "x-build-id": "OlNdwpOh13JkbEoIk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mm_actors~trustpilot-apify-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mm_actors-trustpilot-apify-actor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mm_actors~trustpilot-apify-actor/runs": { "post": { "operationId": "runs-sync-mm_actors-trustpilot-apify-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mm_actors~trustpilot-apify-actor/run-sync": { "post": { "operationId": "run-sync-mm_actors-trustpilot-apify-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "tp_domain", "cookies" ], "properties": { "tp_domain": { "title": "Trustpilot Domain", "type": "string", "description": "The business slug from the Trustpilot URL, e.g. 'example.com' from trustpilot.com/review/example.com" }, "page_count": { "title": "Number of Pages", "minimum": 1, "type": "integer", "description": "Maximum number of review pages to scrape (20 reviews per page). Leave blank when using date filtering." }, "start_date": { "title": "Start Date", "type": "string", "description": "Only keep reviews on or after this date (YYYY-MM-DD). Requires scraping all pages until reviews are older than this date." }, "end_date": { "title": "End Date", "type": "string", "description": "Only keep reviews on or before this date (YYYY-MM-DD). Defaults to today if start_date is set." }, "cookies": { "title": "Trustpilot Cookies", "type": "array", "description": "Trustpilot cookies as a JSON array of {name, value, domain, path} objects. Export from browser DevTools or a cookie extension." }, "languages": { "title": "Review Languages", "type": "string", "description": "Comma-separated language codes to filter reviews (e.g. 'en,de,fr'). Defaults to 'all'.", "default": "all" }, "request_delay": { "title": "Request Delay (seconds)", "minimum": 0, "type": "number", "description": "Seconds to wait between page requests. Increase to reduce the chance of being blocked. Defaults to 0.5.", "default": 0.5 }, "proxy_settings": { "title": "Proxy Settings", "type": "object", "description": "Apify proxy configuration." } } }, "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 } } } } } } } } } } ```