# Trustpilot Scraper — All Reviews, Bypass 200 Limit (`knotless_cadence/trustpilot-review-scraper`) Actor Scrape Trustpilot reviews, ratings & business data at scale. Get ANY company reviews in JSON/CSV — no coding, no bans, no rate limits. Export 10,000+ reviews in minutes for brand monitoring, competitor analysis & market research. Need a custom scraper? Email spinov001@gmail.com - **URL**: https://apify.com/knotless\_cadence/trustpilot-review-scraper.md - **Developed by:** [Alex](https://apify.com/knotless_cadence) (community) - **Categories:** Marketing, E-commerce - **Stats:** 3 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 Scraper Extract reviews, ratings, and company data from Trustpilot at scale. Scrape thousands of customer reviews with star ratings, author info, dates, and company replies — ideal for reputation monitoring and competitive analysis. ### Features - **Detailed review data** — title, full text, star rating (1-5), author, date, location, verification status, and company reply - **Company profiles** — trust score, total review count, category, website, and claimed status - **Star filter** — extract only 1-star, 5-star, or any specific rating - **Search by company** — find companies by name or keyword - **Direct URL input** — paste Trustpilot company URLs directly - **Auto-pagination** — automatically crawls through all review pages up to your limit - **Sort options** — most recent, most relevant, or other Trustpilot sort orders ### Output Example ```json { "companyName": "Amazon", "companyUrl": "https://www.trustpilot.com/review/amazon.com", "title": "Great customer service experience", "text": "I had an issue with my order and the support team resolved it within 24 hours...", "stars": 5, "author": "Sarah M.", "date": "Date of experience: March 15, 2026", "datePublished": "2026-03-16T08:30:00.000Z", "location": "United States", "verified": true, "companyReply": "Thank you for your feedback, Sarah!", "scrapedAt": "2026-03-18T12:00:00.000Z" } ```` ### Use Cases - **Reputation monitoring** — track your company's Trustpilot reviews and ratings over time - **Competitive analysis** — compare review scores and sentiment across competitors in your industry - **Customer feedback analysis** — bulk-extract reviews for NLP sentiment analysis and topic modeling - **Due diligence** — research company reputation before partnerships, investments, or acquisitions - **Market research** — understand customer pain points and expectations in any industry ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `companyUrls` | Array | `[]` | Direct Trustpilot company URLs or domain names | | `searchQueries` | Array | `[]` | Search terms to find companies on Trustpilot | | `maxReviewsPerCompany` | Number | `100` | Maximum reviews to extract per company | | `filterByStars` | Number | `null` | Filter by specific star rating (1-5), null for all | | `sortBy` | String | `"recency"` | Sort order: recency, relevance | ### Cost Estimation - \~$0.50 per 500 reviews - \~$1.00 per 1,000 reviews with company data - Free tier: up to 100 reviews with Apify free plan ### FAQ **Q: Can I scrape reviews for any company on Trustpilot?** A: Yes. Any company with a public Trustpilot profile can be scraped. Enter the company URL directly or search by name. **Q: How do I filter only negative reviews?** A: Set the `filterByStars` parameter to `1` or `2` to extract only low-rated reviews. This is useful for analyzing customer complaints. **Q: Does it extract company replies to reviews?** A: Yes. If a company has replied to a review, the `companyReply` field will contain the full response text. *** *Part of 60+ data tools by knotless\_cadence on Apify. Related tools:* - [Amazon Reviews Scraper](https://apify.com/knotless_cadence/amazon-reviews-scraper) — Extract customer reviews, ratings, and product data from Amazon - [Yelp Scraper](https://apify.com/knotless_cadence/yelp-scraper) — Scrape business reviews, ratings, and details from Yelp - [Google Maps Scraper](https://apify.com/knotless_cadence/google-maps-scraper) — Extract business listings, reviews, and location data from Google Maps ### More Tools - [60+ free scrapers](https://github.com/spinov001-art/awesome-web-scraping-2026) - [15 MCP Servers for AI Agents](https://github.com/spinov001-art/mcp-servers-collection) - [Market Research Reports](https://payhip.com/aimarketintel) # Actor input Schema ## `companyUrls` (type: `array`): Trustpilot company URLs or slugs (e.g., 'amazon.com', 'https://www.trustpilot.com/review/apple.com') ## `searchQueries` (type: `array`): Search Trustpilot for companies (e.g., 'web hosting', 'insurance') ## `maxReviewsPerCompany` (type: `integer`): Maximum number of reviews to extract per company ## `filterByStars` (type: `integer`): Only extract reviews with this star rating (1-5). Set to 0 for all ratings. ## `sortBy` (type: `string`): Sort order for extracted reviews ## Actor input object example ```json { "companyUrls": [], "searchQueries": [], "maxReviewsPerCompany": 100, "filterByStars": 0, "sortBy": "recency" } ``` # 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("knotless_cadence/trustpilot-review-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 = {} # Run the Actor and wait for it to finish run = client.actor("knotless_cadence/trustpilot-review-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 '{}' | apify call knotless_cadence/trustpilot-review-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=knotless_cadence/trustpilot-review-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Trustpilot Scraper — All Reviews, Bypass 200 Limit", "description": "Scrape Trustpilot reviews, ratings & business data at scale. Get ANY company reviews in JSON/CSV — no coding, no bans, no rate limits. Export 10,000+ reviews in minutes for brand monitoring, competitor analysis & market research. Need a custom scraper? Email spinov001@gmail.com", "version": "1.0", "x-build-id": "ccCHelLdPVRy6iXMx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/knotless_cadence~trustpilot-review-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-knotless_cadence-trustpilot-review-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/knotless_cadence~trustpilot-review-scraper/runs": { "post": { "operationId": "runs-sync-knotless_cadence-trustpilot-review-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/knotless_cadence~trustpilot-review-scraper/run-sync": { "post": { "operationId": "run-sync-knotless_cadence-trustpilot-review-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "companyUrls": { "title": "Company URLs or Slugs", "type": "array", "description": "Trustpilot company URLs or slugs (e.g., 'amazon.com', 'https://www.trustpilot.com/review/apple.com')", "default": [], "items": { "type": "string" } }, "searchQueries": { "title": "Search Queries", "type": "array", "description": "Search Trustpilot for companies (e.g., 'web hosting', 'insurance')", "default": [], "items": { "type": "string" } }, "maxReviewsPerCompany": { "title": "Max Reviews Per Company", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of reviews to extract per company", "default": 100 }, "filterByStars": { "title": "Filter by Star Rating", "minimum": 0, "maximum": 5, "type": "integer", "description": "Only extract reviews with this star rating (1-5). Set to 0 for all ratings.", "default": 0 }, "sortBy": { "title": "Sort Reviews By", "enum": [ "recency", "relevance" ], "type": "string", "description": "Sort order for extracted reviews", "default": "recency" } } }, "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 } } } } } } } } } } ```