# Trustpilot Reviews Scraper - Ratings & Feedback (`oriented_wallpaper/trustpilot-reviews-scraper`) Actor Scrape Trustpilot reviews for any company — star rating, review text, date, reviewer & company reply — as clean flat rows with ISO dates, a verified flag, a has-reply flag and a 0-100 review score. Filter by rating/reply, dedup, monitor reputation. Export CSV/JSON/Excel. - **URL**: https://apify.com/oriented\_wallpaper/trustpilot-reviews-scraper.md - **Developed by:** [Flash Scrape](https://apify.com/oriented_wallpaper) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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 - Ratings & Feedback **This Trustpilot reviews scraper turns any company's Trustpilot page into a clean, analysis-ready feed** — one flat row per review with the star rating, headline, full text, reviewer name and country, the review date (ISO + plain date), a verified flag, the company's reply, and a 0–100 review score for fast triage. Give it a company domain, filter to what you care about, and export to CSV, JSON, or Excel. Built for **reputation and CX teams, market researchers, founders, and analysts** who want a spreadsheet of reviews — not a nested scrape. It reads only **public** review data: no login, no cookies. --- ### How to scrape Trustpilot reviews 1. Enter a **company domain** — e.g. `pipedrive.com` (or paste a full Trustpilot review URL). 2. Choose how many reviews, the sort order, and any filters (star ratings, date window, language, verified-only). 3. The scraper pulls the reviews via the proven [`automation-lab/trustpilot`](https://apify.com/automation-lab/trustpilot) engine. 4. Each review is normalized: snake_case fields, ISO 8601 dates plus a split `published_date`, a boolean `verified` flag, and a `has_reply` flag. 5. Duplicates are removed, your filters applied, and every review gets a **0–100 review_score** (rating + recency + verified + engagement + completeness). 6. You get a clean table to download as CSV, JSON, or Excel — or pull via API. No coding, no Trustpilot account, no API key. --- ### What data you get Every row is one review: - **Rating, title, and full text** — the core review content. - **Reviewer name, country, and history** — `reviewer_total_reviews` shows how prolific the reviewer is. - **Verified flag + raw verification level** — know which reviews are verified at a glance. - **Dates** — `published_at` (ISO 8601 UTC), `published_date` (YYYY-MM-DD), and `experience_date`. - **Company reply** — `has_reply`, `reply_text`, `reply_published_at`, `reply_updated_at`. - **Likes** — how many people found the review useful. - **A 0–100 review_score** — blends rating, recency, verified status, engagement, and text completeness. --- ### Filters & options - **Star ratings** — fetch only 1★, 5★, etc. - **Date window** — last 30 days / 3 / 6 / 12 months. - **Languages** — keep only chosen languages. - **Verified only** — fetch only verified reviews. - **Search within reviews** — only reviews containing a phrase. - **Minimum rating** — drop reviews below N stars (applied after scraping). - **Only with a company reply** — keep reviews the company answered. #### Input | Field | Type | Description | |---|---|---| | `companyDomain` | string | Company to scrape, e.g. `pipedrive.com`. **Required.** | | `maxReviews` | integer | Max reviews to fetch. Default `100`. | | `sort` | string | `recency` (newest) or `relevancy`. | | `stars` | array | Only these star ratings (`["1","5"]`). | | `dateWindow` | string | `last30days` / `last3months` / `last6months` / `last12months`. | | `languages` | array | Language codes to keep. | | `onlyVerified` | boolean | Fetch verified reviews only. | | `includeReplies` | boolean | Include company replies. Default `true`. | | `searchText` | string | Only reviews containing this text. | | `minRating` | integer | Drop reviews below N stars (`0` = no filter). | | `onlyWithReply` | boolean | Keep only replied-to reviews. | **Example input:** ```json { "companyDomain": "pipedrive.com", "maxReviews": 200, "sort": "recency", "stars": ["1", "2"], "dateWindow": "last3months", "includeReplies": true, "onlyWithReply": true } ```` #### JSON output sample ```json { "review_score": 88, "review_id": "6627f1a0e4b0abc123", "reviewer_name": "Jane D.", "rating": 5, "title": "Best CRM we've used", "text": "Setup took ten minutes and support replied within the hour…", "language": "en", "published_at": "2026-05-14T21:34:45+00:00", "published_date": "2026-05-14", "experience_date": "2026-05-12", "verified": true, "verification_level": "verified", "reviewer_country": "US", "reviewer_total_reviews": 3, "likes": 2, "has_reply": true, "reply_text": "Thanks so much for the kind words, Jane!", "reply_published_at": "2026-05-15T09:02:11+00:00", "reply_updated_at": null } ``` Results render as a clean, sortable table on the Output tab and export to CSV, JSON, or Excel. *** ### Use cases - **Reputation monitoring** — track new 1★ reviews for your brand or a competitor. - **CX analysis** — pull thousands of reviews to find recurring complaints and themes. - **Competitive research** — compare review sentiment and reply rates across companies. - **Review response audits** — `has_reply` shows how responsive a company is. *** ### Use with AI agents & automation Plug this into your stack: run it from the Apify **MCP** server so AI agents (Claude, ChatGPT, Cursor) can pull reviews as a tool call, schedule runs through **Make**, **n8n**, or **Zapier** to alert on new negative reviews, or sync the dataset to **Google Sheets** for a live reputation dashboard. Clean flat JSON drops into sentiment pipelines with no glue code. *** ### Pricing **Pay-per-result — you're charged only for the reviews delivered after your filters.** Use `maxReviews` and the filters to keep cost predictable. See the Apify Store page for the current per-result price. *** ### FAQ **Do I need a Trustpilot account or API key?** No. It reads public reviews with no login and no key. **How is `verified` determined?** From Trustpilot's verification level — verified/invited reviews are flagged `true`, and the raw level is kept in `verification_level`. **Can I scrape a competitor's reviews?** Yes — any company with a public Trustpilot page. Just use their domain. **Is scraping Trustpilot legal?** This collects **public** reviews only. Trustpilot's terms restrict automated access and reviews contain personal data (names, countries), so handle the data lawfully (GDPR) and follow Trustpilot's terms. For research/monitoring use. **Can I export to CSV or Google Sheets?** Yes — CSV, JSON, or Excel from the Output tab, or sync to Google Sheets via Make, n8n, or Zapier. *** ### Other Flash Scrape scrapers - [Indeed Jobs Scraper](https://apify.com/oriented_wallpaper/indeed-jobs-scraper) — Indeed job listings - [Google Maps Leads Scraper](https://apify.com/oriented_wallpaper/google-maps-leads-opener) — Google Maps business leads - [Yelp Leads Scraper](https://apify.com/oriented_wallpaper/yelp-leads-scraper) — Yelp business leads - [Instagram Leads Scraper](https://apify.com/oriented_wallpaper/instagram-leads-scraper) — Instagram profile leads - [TikTok Leads Scraper](https://apify.com/oriented_wallpaper/tiktok-leads-scraper) — TikTok creator leads - [YouTube Leads Scraper](https://apify.com/oriented_wallpaper/youtube-leads-scraper) — YouTube creator leads # Actor input Schema ## `companyDomain` (type: `string`): The company to scrape, as its domain — e.g. 'pipedrive.com'. You can also paste a full Trustpilot review URL. ## `maxReviews` (type: `integer`): Maximum number of reviews to fetch. ## `sort` (type: `string`): Newest first (recency) or Trustpilot's relevancy order. ## `stars` (type: `array`): Only fetch reviews with these star ratings (leave empty for all). ## `dateWindow` (type: `string`): Only reviews from this recent window (leave 'Any time' for all). ## `languages` (type: `array`): Filter reviews by language code (e.g. 'en', 'fr'). Leave empty for all. ## `onlyVerified` (type: `boolean`): Fetch only verified reviews. ## `minRating` (type: `integer`): Keep only reviews at or above this star rating, 1-5 (0 = no filter). Applied after scraping. ## `onlyWithReply` (type: `boolean`): Keep only reviews the company has replied to. ## Actor input object example ```json { "companyDomain": "pipedrive.com", "maxReviews": 100, "sort": "recency", "stars": [], "dateWindow": "", "languages": [], "onlyVerified": false, "minRating": 0, "onlyWithReply": false } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "companyDomain": "pipedrive.com" }; // Run the Actor and wait for it to finish const run = await client.actor("oriented_wallpaper/trustpilot-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 = { "companyDomain": "pipedrive.com" } # Run the Actor and wait for it to finish run = client.actor("oriented_wallpaper/trustpilot-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 '{ "companyDomain": "pipedrive.com" }' | apify call oriented_wallpaper/trustpilot-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=oriented_wallpaper/trustpilot-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Trustpilot Reviews Scraper - Ratings & Feedback", "description": "Scrape Trustpilot reviews for any company — star rating, review text, date, reviewer & company reply — as clean flat rows with ISO dates, a verified flag, a has-reply flag and a 0-100 review score. Filter by rating/reply, dedup, monitor reputation. Export CSV/JSON/Excel.", "version": "0.1", "x-build-id": "dzwQnxSLhSwDF7L65" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/oriented_wallpaper~trustpilot-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-oriented_wallpaper-trustpilot-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/oriented_wallpaper~trustpilot-reviews-scraper/runs": { "post": { "operationId": "runs-sync-oriented_wallpaper-trustpilot-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/oriented_wallpaper~trustpilot-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-oriented_wallpaper-trustpilot-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "companyDomain" ], "properties": { "companyDomain": { "title": "Company domain", "type": "string", "description": "The company to scrape, as its domain — e.g. 'pipedrive.com'. You can also paste a full Trustpilot review URL." }, "maxReviews": { "title": "Max reviews", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of reviews to fetch.", "default": 100 }, "sort": { "title": "Sort order", "enum": [ "recency", "relevancy" ], "type": "string", "description": "Newest first (recency) or Trustpilot's relevancy order.", "default": "recency" }, "stars": { "title": "Star ratings to fetch", "type": "array", "description": "Only fetch reviews with these star ratings (leave empty for all).", "items": { "type": "string", "enum": [ "1", "2", "3", "4", "5" ] }, "default": [] }, "dateWindow": { "title": "Date window", "enum": [ "", "last30days", "last3months", "last6months", "last12months" ], "type": "string", "description": "Only reviews from this recent window (leave 'Any time' for all).", "default": "" }, "languages": { "title": "Languages", "type": "array", "description": "Filter reviews by language code (e.g. 'en', 'fr'). Leave empty for all.", "default": [], "items": { "type": "string" } }, "onlyVerified": { "title": "Verified reviews only", "type": "boolean", "description": "Fetch only verified reviews.", "default": false }, "minRating": { "title": "Minimum rating (filter)", "minimum": 0, "maximum": 5, "type": "integer", "description": "Keep only reviews at or above this star rating, 1-5 (0 = no filter). Applied after scraping.", "default": 0 }, "onlyWithReply": { "title": "Only reviews with a company reply", "type": "boolean", "description": "Keep only reviews the company has replied to.", "default": false } } }, "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 } } } } } } } } } } ```