# Trustpilot Scraper - Reviews, Ratings & Sentiment Analysis (`claredigital/trustpilot-scraper`) Actor Scrapes Trustpilot reviews for any company. Extracts ratings, review text, dates, verified status, company replies, and sentiment analysis. - **URL**: https://apify.com/claredigital/trustpilot-scraper.md - **Developed by:** [Tim Shea](https://apify.com/claredigital) (community) - **Categories:** E-commerce, Lead generation - **Stats:** 5 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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 reviews from any company on Trustpilot. Extract ratings, review text, sentiment analysis, verified status, and company replies. **Pay per use - no monthly subscription required.** ### Features - **All review data** - Rating, title, text, date, author, verified badge - **Sentiment analysis** - Each review tagged as positive, negative, or neutral - **Company replies** - Extract business responses to reviews - **Company summary** - Trust score, total reviews, rating distribution - **Flexible filtering** - Filter by star rating, sort by date or relevance - **Fast extraction** - ~100 reviews per minute ### Quick Start ```json { "companyUrl": "amazon.com", "maxReviews": 100, "sortBy": "recency" } ```` Or use the full Trustpilot URL: ```json { "companyUrl": "https://www.trustpilot.com/review/nike.com", "maxReviews": 500 } ``` ### Input Options | Field | Required | Default | Description | |-------|----------|---------|-------------| | `companyUrl` | Yes | - | Company domain or full Trustpilot URL | | `maxReviews` | No | 100 | Maximum reviews to scrape (up to 5000) | | `sortBy` | No | recency | Sort by: recency, relevance | | `filterRating` | No | all | Filter by star rating (1-5) | | `includeReplies` | No | true | Include company responses | | `proxyConfiguration` | No | Residential | Proxy settings | ### Output Each review includes: ```json { "id": "abc123", "rating": 5, "title": "Excellent service!", "text": "Fast delivery and great customer support...", "date": "2024-01-15", "author": "John D.", "isVerified": true, "sentiment": "positive", "reviewUrl": "https://www.trustpilot.com/reviews/...", "companyReply": { "text": "Thank you for your feedback!", "date": "2024-01-16" } } ``` **Company Summary** (saved to key-value store): ```json { "name": "Amazon", "domain": "amazon.com", "trustScore": 1.6, "totalReviews": 98234, "ratingDistribution": { "fiveStar": 12, "fourStar": 5, "threeStar": 4, "twoStar": 6, "oneStar": 73 } } ``` ### Use Cases - **Competitor analysis** - Compare review sentiment across competitors - **Brand monitoring** - Track your company's Trustpilot reputation - **Market research** - Analyze customer feedback in your industry - **Lead generation** - Find companies with poor reviews (opportunity!) - **Due diligence** - Research companies before partnerships ### Sentiment Analysis Reviews are automatically classified based on language: | Sentiment | Indicators | |-----------|------------| | **Positive** | great, excellent, amazing, love, recommend, fast, helpful | | **Negative** | bad, terrible, awful, scam, avoid, disappointed, waste | | **Neutral** | Mixed or no strong indicators | ### Pricing **$2.00 per 1,000 reviews scraped** - Pay only for what you use - No monthly subscription - Company summary included free ### Tips - Use `sortBy: recency` for the latest reviews - Filter by 1-2 stars to find negative feedback patterns - Company summary shows overall trust score and rating distribution - Verified reviews have a verified purchase badge ### Limitations - Only public Trustpilot reviews - Rate limited to respect Trustpilot's servers - Some companies may have limited reviews # Actor input Schema ## `companyUrl` (type: `string`): Trustpilot URL (e.g., https://www.trustpilot.com/review/amazon.com) or just the domain (e.g., amazon.com) ## `maxReviews` (type: `integer`): Maximum number of reviews to scrape ## `sortBy` (type: `string`): How to sort reviews ## `filterRating` (type: `array`): Only include reviews with these star ratings (leave empty for all) ## `includeReplies` (type: `boolean`): Extract company responses to reviews ## `proxyConfiguration` (type: `object`): Residential proxies recommended for best results ## Actor input object example ```json { "companyUrl": "amazon.com", "maxReviews": 100, "sortBy": "recency", "includeReplies": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "companyUrl": "amazon.com", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("claredigital/trustpilot-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 = { "companyUrl": "amazon.com", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("claredigital/trustpilot-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 '{ "companyUrl": "amazon.com", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call claredigital/trustpilot-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=claredigital/trustpilot-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Trustpilot Scraper - Reviews, Ratings & Sentiment Analysis", "description": "Scrapes Trustpilot reviews for any company. Extracts ratings, review text, dates, verified status, company replies, and sentiment analysis.", "version": "1.0", "x-build-id": "6ZsSUDEjZrUBc7p98" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/claredigital~trustpilot-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-claredigital-trustpilot-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/claredigital~trustpilot-scraper/runs": { "post": { "operationId": "runs-sync-claredigital-trustpilot-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/claredigital~trustpilot-scraper/run-sync": { "post": { "operationId": "run-sync-claredigital-trustpilot-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "companyUrl" ], "properties": { "companyUrl": { "title": "Company URL or Domain", "type": "string", "description": "Trustpilot URL (e.g., https://www.trustpilot.com/review/amazon.com) or just the domain (e.g., amazon.com)" }, "maxReviews": { "title": "Maximum Reviews", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of reviews to scrape", "default": 100 }, "sortBy": { "title": "Sort By", "enum": [ "recency", "relevance" ], "type": "string", "description": "How to sort reviews", "default": "recency" }, "filterRating": { "title": "Filter by Rating", "type": "array", "description": "Only include reviews with these star ratings (leave empty for all)", "items": { "type": "string", "enum": [ "1", "2", "3", "4", "5" ], "enumTitles": [ "1 Star", "2 Stars", "3 Stars", "4 Stars", "5 Stars" ] } }, "includeReplies": { "title": "Include Company Replies", "type": "boolean", "description": "Extract company responses to reviews", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Residential proxies recommended for best results" } } }, "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 } } } } } } } } } } ```