# Trustpilot Reviews Scraper (`dami_studio/trustpilot-scraper`) Actor Scrape Trustpilot company reviews and ratings for any business — review text, star rating, reviewer, country, verified flag, dates and the company reply, plus the company's TrustScore. Runs a real browser to beat the AWS WAF; never charges for blocked or empty look-ups. - **URL**: https://apify.com/dami\_studio/trustpilot-scraper.md - **Developed by:** [Dami's Studio](https://apify.com/dami_studio) (community) - **Categories:** Integrations, Lead generation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.70 / 1,000 review returneds 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 Scraper Scrape **Trustpilot** company reviews and ratings for any business — the full review text, star rating, reviewer, dates, verified flag, and the company's reply. Trustpilot sits behind an AWS WAF JavaScript proof-of-work challenge that blocks plain HTTP scrapers. This actor runs a **real browser** that solves the challenge, reads reviews from the page's own embedded data (stable), paginates through them, and rotates a fresh residential IP on a block — returning reviews or an honest `BLOCKED`, never silent-empty. ### Input | Field | Notes | |---|---| | `companyDomains` | One or more domains to look up, e.g. `www.amazon.com`, `nike.com`. | | `maxReviews` | Reviews to collect per company (~20/page). | ### Output One row per review, each carrying the company context (`companyName`, `companyDomain`, `trustScore`, `totalReviews`) plus: `rating`, `title`, `text`, `author`, `authorCountry`, `verified`, `likes`, `publishedAt`, `experiencedAt`, `replyText`, `reviewUrl`. #### Sample output row ```json { "ok": true, "companyName": "Amazon", "companyDomain": "www.amazon.com", "trustScore": 4.1, "totalReviews": 152340, "rating": 5, "title": "Fast delivery", "text": "Ordered Monday, arrived Tuesday. Great service.", "author": "Jane D.", "authorCountry": "US", "verified": true, "likes": 0, "publishedAt": "2026-05-01T10:12:00Z", "experiencedAt": "2026-04-30T00:00:00Z", "replyText": null, "replyAt": null, "reviewUrl": "https://www.trustpilot.com/reviews/abc123" } ```` #### Nullable fields Trustpilot does not always send every field. The following can be `null` on a given review: `title`, `text`, `author`, `authorCountry`, `authorReviewCount`, `likes`, `experiencedAt`, `replyText`, `replyAt`, and (rarely) `rating`. Company-context fields (`trustScore`, `totalReviews`, `categories`, `websiteUrl`) can also be `null` if Trustpilot omits them. ### Pricing Pay per result: you are charged **only for genuine reviews** (`ok: true`). An empty shell with no rating and no text is pushed for transparency with `ok: false`, `errorCode: "EMPTY_REVIEW"`, and is **never charged**. Blocked or empty look-ups return a coded diagnostic row (`ok: false`) and are likewise **not charged**. Note: there is no cross-run dedup — the same review collected on a later run will be a new row and charged again (standard Apify behavior). Within a single run, duplicate reviews are removed. ### Troubleshooting - **`BLOCKED` diagnostic:** Trustpilot's AWS WAF blocked every browser/IP rotation. Re-run; the actor already rotates a fresh RESIDENTIAL IP and User-Agent on each block. A RESIDENTIAL proxy is required for the WAF. - **`NO_RESULTS`:** the domain exists but has no reviews — confirm the domain matches exactly what appears on Trustpilot (e.g. `www.amazon.com`, not `amazon.com`). - **`BAD_INPUT`:** no domain was provided; set `companyDomains` or `companyDomain`. ### Notes Uses a RESIDENTIAL proxy (required for the WAF). Rotation can make a run slower but it gets through. The browser rotates its User-Agent across a pool on each block for stronger anti-bot evasion. # Actor input Schema ## `companyDomains` (type: `array`): One or more company domains as they appear on Trustpilot, e.g. "www.amazon.com", "nike.com", "booking.com". ## `companyDomain` (type: `string`): A single domain, if you prefer one box instead of the list above. ## `maxReviews` (type: `integer`): How many reviews to collect per company (Trustpilot shows ~20 per page; the scraper paginates). Note: some fields (title, text, author, authorCountry, likes, experiencedAt, replyText) can be null when Trustpilot omits them. You are charged only for genuine reviews; empty review shells and blocked/empty look-ups are not charged. ## `notionConnector` (type: `string`): Optional. Write each review as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless. ## `notionParentId` (type: `string`): Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead. ## `proxyConfiguration` (type: `object`): Trustpilot uses an AWS WAF challenge — RESIDENTIAL proxy required. ## Actor input object example ```json { "companyDomains": [ "www.amazon.com" ], "maxReviews": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): Scraped rows are stored in the default dataset (one row per result). Blocked/empty/error runs return a single uncharged diagnostic row instead. # 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 = { "companyDomains": [ "www.amazon.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("dami_studio/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 = { "companyDomains": ["www.amazon.com"] } # Run the Actor and wait for it to finish run = client.actor("dami_studio/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 '{ "companyDomains": [ "www.amazon.com" ] }' | apify call dami_studio/trustpilot-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dami_studio/trustpilot-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Trustpilot Reviews Scraper", "description": "Scrape Trustpilot company reviews and ratings for any business — review text, star rating, reviewer, country, verified flag, dates and the company reply, plus the company's TrustScore. Runs a real browser to beat the AWS WAF; never charges for blocked or empty look-ups.", "version": "0.1", "x-build-id": "86vEdFitdtPi1T1oh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dami_studio~trustpilot-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dami_studio-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dami_studio~trustpilot-scraper/runs": { "post": { "operationId": "runs-sync-dami_studio-trustpilot-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dami_studio~trustpilot-scraper/run-sync": { "post": { "operationId": "run-sync-dami_studio-trustpilot-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "companyDomains": { "title": "Company domains", "type": "array", "description": "One or more company domains as they appear on Trustpilot, e.g. \"www.amazon.com\", \"nike.com\", \"booking.com\".", "items": { "type": "string" } }, "companyDomain": { "title": "Single company domain (alternative)", "type": "string", "description": "A single domain, if you prefer one box instead of the list above." }, "maxReviews": { "title": "Max reviews per company", "minimum": 1, "maximum": 5000, "type": "integer", "description": "How many reviews to collect per company (Trustpilot shows ~20 per page; the scraper paginates). Note: some fields (title, text, author, authorCountry, likes, experiencedAt, replyText) can be null when Trustpilot omits them. You are charged only for genuine reviews; empty review shells and blocked/empty look-ups are not charged.", "default": 100 }, "notionConnector": { "title": "Notion connector (optional)", "type": "string", "description": "Optional. Write each review as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless." }, "notionParentId": { "title": "Notion target data source ID", "type": "string", "description": "Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead." }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Trustpilot uses an AWS WAF challenge — RESIDENTIAL proxy required.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```