# Trustpilot Company Reviews Scraper (`thescrappa/trustpilot-company-reviews-scraper`) Actor Scrape Trustpilot company reviews by domain. Extract review text, ratings, reviewer names, dates, verification status, company replies, filters, and pagination metadata for reputation monitoring and competitor research. - **URL**: https://apify.com/thescrappa/trustpilot-company-reviews-scraper.md - **Developed by:** [Scrappa](https://apify.com/thescrappa) (community) - **Categories:** Marketing, Lead generation, Automation - **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 ## Trustpilot Company Reviews Scraper Extract Trustpilot reviews for a company domain through Scrappa. Use it for review monitoring, reputation analysis, customer-support QA, brand tracking, and competitor research. ### Features - Review titles, text, IDs, ratings, languages, dates, verification status, and company replies - Reviewer details from Trustpilot consumer profiles - Filters for rating, verified reviews, company replies, keyword search, date posted, locale, and sort order - Multi-page runs up to Trustpilot's public page limit - Dataset rows optimized for Apify table views - Full Scrappa responses saved to the `OUTPUT` key-value-store record ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `company_domain` | string | Yes | Company domain, for example `amazon.com` | | `locale` | string | No | Trustpilot locale, default `en-US` | | `page` | integer | No | First page to fetch, 1-10 | | `max_pages` | integer | No | Number of pages to fetch, 1-10 | | `per_page` | integer | No | Reviews per page after filtering, 1-100 | | `sort` | string | No | `recency` or `relevance` | | `rating` | string | No | Comma-separated ratings, for example `1,2` | | `verified` | boolean | No | Return only verified reviews | | `with_replies` | boolean | No | Return only reviews with company replies | | `query` | string | No | Search within review title or text | | `date_posted` | string | No | `any`, `last_30_days`, `last_3_months`, `last_6_months`, or `last_12_months` | | `fields` | string | No | Optional comma-separated Scrappa response fields, for example `reviews,businessUnit.displayName,pagination` | ### Example Input ```json { "company_domain": "amazon.com", "locale": "en-US", "page": 1, "max_pages": 2, "per_page": 20, "sort": "recency", "rating": "1,2", "date_posted": "last_30_days" } ```` ### Output Each Trustpilot review is saved as one dataset item: ```json { "id": "example-review-id", "title": "Delivery was late", "text": "The order arrived later than expected.", "rating": 2, "language": "en", "isVerified": true, "consumer_name": "Example Customer", "published_date": "2026-05-01T12:30:00.000Z", "company_domain": "amazon.com", "request_page": 1, "request_sort": "recency", "request_rating": "1,2" } ``` The full combined response is saved to `OUTPUT`, including per-page Scrappa responses and pagination metadata. ### Notes Trustpilot limits public unauthenticated access to approximately the first 10 review pages. For higher-volume review monitoring or direct API access, use Scrappa at https://scrappa.co. # Actor input Schema ## `company_domain` (type: `string`): Company domain with or without protocol, for example amazon.com or https://www.amazon.com. ## `locale` (type: `string`): Trustpilot locale used for the review page. ## `page` (type: `integer`): First Trustpilot review page to fetch. Trustpilot limits public access to approximately the first 10 pages. ## `max_pages` (type: `integer`): Number of pages to fetch in this run. Page plus Max Pages cannot go beyond page 10. ## `per_page` (type: `integer`): Maximum reviews returned per page after Scrappa filtering. ## `sort` (type: `string`): Use recency for monitoring or relevance for representative samples. ## `rating` (type: `string`): Comma-separated ratings from 1 to 5, for example 1,2 for negative-review monitoring or 4,5 for positive reviews. ## `verified` (type: `boolean`): Only return verified reviews. ## `with_replies` (type: `boolean`): Only return reviews that include company replies. ## `query` (type: `string`): Keyword to search in review title or text, such as refund, delivery, support, or warranty. ## `date_posted` (type: `string`): Limit reviews by publication date. ## `fields` (type: `string`): Optional comma-separated Scrappa response fields to include, such as reviews, relevantReviews, aiSummaryReviews, businessUnit.displayName, and pagination. Leave empty for the full response. ## Actor input object example ```json { "company_domain": "amazon.com", "locale": "en-US", "page": 1, "max_pages": 1, "per_page": 20, "sort": "recency", "date_posted": "any" } ``` # 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 = { "company_domain": "amazon.com" }; // Run the Actor and wait for it to finish const run = await client.actor("thescrappa/trustpilot-company-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 = { "company_domain": "amazon.com" } # Run the Actor and wait for it to finish run = client.actor("thescrappa/trustpilot-company-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 '{ "company_domain": "amazon.com" }' | apify call thescrappa/trustpilot-company-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thescrappa/trustpilot-company-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Trustpilot Company Reviews Scraper", "description": "Scrape Trustpilot company reviews by domain. Extract review text, ratings, reviewer names, dates, verification status, company replies, filters, and pagination metadata for reputation monitoring and competitor research.", "version": "1.0", "x-build-id": "vV5H3VZnFuoRzQe6I" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thescrappa~trustpilot-company-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thescrappa-trustpilot-company-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/thescrappa~trustpilot-company-reviews-scraper/runs": { "post": { "operationId": "runs-sync-thescrappa-trustpilot-company-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/thescrappa~trustpilot-company-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-thescrappa-trustpilot-company-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": [ "company_domain" ], "properties": { "company_domain": { "title": "Company Domain", "type": "string", "description": "Company domain with or without protocol, for example amazon.com or https://www.amazon.com." }, "locale": { "title": "Locale", "enum": [ "da-DK", "de-AT", "de-CH", "de-DE", "en-AU", "en-CA", "en-GB", "en-IE", "en-NZ", "en-US", "es-ES", "fi-FI", "fr-BE", "nl-BE", "fr-FR", "it-IT", "ja-JP", "nb-NO", "nl-NL", "pl-PL", "pt-BR", "pt-PT", "sv-SE" ], "type": "string", "description": "Trustpilot locale used for the review page.", "default": "en-US" }, "page": { "title": "Start Page", "minimum": 1, "maximum": 10, "type": "integer", "description": "First Trustpilot review page to fetch. Trustpilot limits public access to approximately the first 10 pages.", "default": 1 }, "max_pages": { "title": "Max Pages", "minimum": 1, "maximum": 10, "type": "integer", "description": "Number of pages to fetch in this run. Page plus Max Pages cannot go beyond page 10.", "default": 1 }, "per_page": { "title": "Reviews Per Page", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum reviews returned per page after Scrappa filtering.", "default": 20 }, "sort": { "title": "Sort", "enum": [ "recency", "relevance" ], "type": "string", "description": "Use recency for monitoring or relevance for representative samples.", "default": "recency" }, "rating": { "title": "Rating Filter", "type": "string", "description": "Comma-separated ratings from 1 to 5, for example 1,2 for negative-review monitoring or 4,5 for positive reviews." }, "verified": { "title": "Verified Only", "type": "boolean", "description": "Only return verified reviews." }, "with_replies": { "title": "With Company Replies Only", "type": "boolean", "description": "Only return reviews that include company replies." }, "query": { "title": "Search Within Reviews", "maxLength": 200, "type": "string", "description": "Keyword to search in review title or text, such as refund, delivery, support, or warranty." }, "date_posted": { "title": "Date Posted", "enum": [ "any", "last_30_days", "last_3_months", "last_6_months", "last_12_months" ], "type": "string", "description": "Limit reviews by publication date.", "default": "any" }, "fields": { "title": "Fields", "maxLength": 500, "type": "string", "description": "Optional comma-separated Scrappa response fields to include, such as reviews, relevantReviews, aiSummaryReviews, businessUnit.displayName, and pagination. Leave empty for the full response." } } }, "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 } } } } } } } } } } ```