# Trustpilot Scraper (`myagizm/trustpilot-scraper`) Actor

Trustpilot business profiles and reviews for any domain — trustScore, review counts, categories plus review text, rating, author, date and business replies. No login, no API key, structured JSON.

- **URL**: https://apify.com/myagizm/trustpilot-scraper.md
- **Developed by:** [MYM](https://apify.com/myagizm) (community)
- **Categories:** Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.36 / 1,000 record returneds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 reviews & business profiles in bulk (No API Key, No Login)

<p align="center">
  <a href="https://apify.com/myagizm/trustpilot-scraper"><img src="https://img.shields.io/badge/Apify-Actor-00b96b?logo=apify&logoColor=white" alt="Apify Actor"></a>
  <img src="https://img.shields.io/badge/No%20API%20Key-required-blue" alt="No API Key required">
  <img src="https://img.shields.io/badge/No%20Login-needed-blue" alt="No Login needed">
  <img src="https://img.shields.io/badge/No%20Cookies-needed-blue" alt="No cookies needed">
  <img src="https://img.shields.io/badge/Export-JSON%20%7C%20CSV%20%7C%20Excel%20%7C%20XML-orange" alt="Export formats">
  <img src="https://img.shields.io/badge/MCP-AI%20agents-8A2BE2" alt="MCP AI agents">
  <img src="https://img.shields.io/badge/Pricing-pay%20per%20result-success" alt="Pay per result">
</p>

**Scrape public Trustpilot reviews and business profiles in bulk** — no login, no cookies, no Trustpilot Business account, no official API key. Feed the Trustpilot Scraper a list of business domains like `booking.com` or `amazon.co.uk` and get two clean record types: one **business record** per domain (name, TrustScore, star rating, total review count, reviews from the last 12 months, categories, country, website, verified and claimed status) plus one **review record** per review (author, 1–5 rating, title, full text, dates, location, language, likes, verified status, and the business reply). Export Trustpilot reviews to JSON, CSV, Excel, or XML, schedule runs through the Apify API, and pipe the data into your reputation dashboard, sentiment pipeline, CRM, or LLM training set.

> **Get your first results free in under 2 minutes** — type a domain, click Start, read the reviews. No configuration, no credit card to try.

***

### Table of contents

- [What can it do?](#what-can-it-do)
- [Who uses it?](#who-uses-it)
- [How to scrape Trustpilot reviews](#how-to)
- [Input](#input)
- [What data can I scrape?](#what-data)
- [Output examples](#output-examples)
- [Limits & accuracy](#limits)
- [Pricing](#pricing)
- [Tips](#tips)
- [Want other data?](#want-other-data)
- [AI agents (MCP)](#mcp)
- [Integrations & API](#integrations)
- [Support](#support)
- [FAQ](#faq)
- [Related searches](#related-searches)
- [Disclaimer](#disclaimer)
- [Resources](#resources)

***

### What can the Trustpilot Scraper do? {#what-can-it-do}

- ✅ **Scrape any public Trustpilot business profile** by domain — `booking.com`, `amazon.co.uk`, or a full `trustpilot.com/review/<domain>` URL.
- ⭐ **Get the live TrustScore and star rating** for every business, exactly as shown publicly.
- 🔢 **Read total review counts** plus **reviews received in the last 12 months** — the two numbers that show momentum.
- 📝 **Collect the latest reviews** with author, 1–5 rating, title, full review text, published date, experience date, location, language, and like count.
- ✅ **See verification status** — whether each review is verified and at which verification level.
- 💬 **Capture the business reply** attached to a review, so you can measure how (and whether) a company responds.
- 🏷️ **Get business categories, country, and website** for segmentation and market research.
- 🏢 **Check verified & claimed status** of each business profile.
- 📦 **Batch up to 50 domains per run**, with up to 200 reviews per business.
- 📤 **Export Trustpilot data** to JSON, CSV, Excel, or XML, or pull it live via the Apify API.

Go beyond the limits of the official Trustpilot API: no Business account, no OAuth app, no API key application, no quota juggling — paste your domains and collect publicly available review data.

***

### Who uses the Trustpilot Scraper? {#who-uses-it}

- 🛡️ **Reputation managers** — monitor new reviews and ratings for your brand across markets and respond before issues escalate.
- 📊 **Sentiment & VoC analysts** — feed review text into sentiment models and Voice-of-Customer research to find recurring complaints and praise.
- ⚔️ **Competitor analysts** — benchmark your TrustScore, review velocity, and reply rate against rivals on a schedule.
- 🤖 **AI & data teams** — build LLM fine-tuning or RAG datasets from real customer feedback, in many languages.
- 📉 **Customer success teams** — detect churn signals early by watching for sudden drops in rating or spikes in 1-star reviews.
- 🏢 **Agencies** — produce white-label review and reputation reports for clients with consistent, exportable fields.
- 🛒 **E-commerce & SaaS founders** — study what customers love and hate about competitors before building or repositioning a product.

***

### How to scrape Trustpilot reviews {#how-to}

1. **Open the Trustpilot Scraper** on [Apify](https://apify.com/myagizm/trustpilot-scraper).
2. **Add business domains** to *Domains* — `booking.com`, `amazon.co.uk`, or `https://www.trustpilot.com/review/booking.com` all work.
3. *(Optional)* Set **Max reviews per business** (default 20, up to 200).
4. Click **▶ Start**.
5. **Export** to JSON, CSV, Excel, or XML, or fetch the dataset through the API.

No login, no cookies, no Trustpilot account, no proxy configuration. Start with one domain to see the output shape, then scale the same run to 50 domains — the fields stay identical, so code written against a test run keeps working.

***

### Input {#input}

| Field | Type | Description |
|-------|------|-------------|
| `domains` | array of strings | Business domains to scrape, e.g. `["booking.com", "amazon.co.uk"]`. Full Trustpilot review URLs like `https://www.trustpilot.com/review/booking.com` are also accepted. Up to 50 domains per run. |
| `maxReviewsPerBusiness` | integer | How many of the latest reviews to collect per business. Default `20`, maximum `200`. |

#### Input example — single business

```json
{
  "domains": ["booking.com"]
}
```

#### Input example — multiple businesses, more reviews

```json
{
  "domains": [
    "booking.com",
    "amazon.co.uk",
    "https://www.trustpilot.com/review/www.expedia.com"
  ],
  "maxReviewsPerBusiness": 100
}
```

***

### What data can I scrape? {#what-data}

Each run produces two record types in the same dataset: **one business record per domain** and **one review record per review**.

#### Review record

| Field | Type | Description |
|-------|------|-------------|
| `id` | string | Unique review ID (stable — safe to use as a primary key). |
| `businessDomain` | string | The domain this review belongs to, handy when batching. |
| `author` | string | Reviewer's display name. |
| `rating` | number | Star rating, 1–5. |
| `title` | string | Review headline. |
| `text` | string | Full review body text. |
| `date` | string | When the review was published (ISO 8601). |
| `experienceDate` | string | When the customer says the experience happened (ISO 8601). |
| `location` | string | Reviewer's country code (e.g. `CA`, `GB`). |
| `language` | string | Language code of the review text (e.g. `en`, `de`). |
| `likes` | number | How many users found the review useful. |
| `verified` | boolean | Whether Trustpilot marks the review as verified. |
| `verificationLevel` | string | Trustpilot's verification level label for the review. |
| `reply` | object | null | The business's public reply (message and date). `null` when the business hasn't replied. |

#### Business record

| Field | Type | Description |
|-------|------|-------------|
| `name` | string | Business display name. |
| `domain` | string | The domain you asked for. |
| `identifyingName` | string | Trustpilot's internal identifying name for the business (e.g. `www.booking.com`). |
| `website` | string | The business's website URL. |
| `trustScore` | number | TrustScore (0–5), as shown publicly. |
| `stars` | number | Star rating (0–5), as shown publicly. |
| `numberOfReviews` | number | Total published review count. |
| `numberOfReviewsLast12Months` | number | Reviews received in the last 12 months. |
| `categories` | array of strings | Trustpilot category labels (e.g. `["Travel Aggregator", "Hotel"]`). |
| `countryCode` | string | Country code of the business (e.g. `NL`). |
| `verified` | boolean | Whether the business profile is verified by Trustpilot. |
| `isClaimed` | boolean | Whether the business has claimed its profile. |

> Fields reflect what Trustpilot exposes publicly for that item. Values that do not exist for a given item are returned as `null` rather than dropped, so your schema stays stable. In particular, `reply` is `null` whenever the business has not publicly replied to that review.

***

### Output examples {#output-examples}

#### Business record

```json
{
  "name": "Booking.com",
  "stars": 1.5,
  "domain": "booking.com",
  "website": "https://www.booking.com",
  "verified": false,
  "isClaimed": true,
  "categories": ["Travel Aggregator", "Hotel"],
  "trustScore": 1.5,
  "countryCode": "NL",
  "identifyingName": "www.booking.com",
  "numberOfReviews": 122952,
  "numberOfReviewsLast12Months": 20261
}
```

#### Review record

```json
{
  "id": "6a6e78eaacb04295209fa8d6",
  "date": "2026-08-02T00:53:30.000Z",
  "text": "...(long real customer complaint about a hotel booking)...",
  "likes": 0,
  "reply": null,
  "title": "Booking.com is worst as it doesn't hold…",
  "author": "Nikhil",
  "rating": 1,
  "language": "en",
  "location": "CA",
  "verified": true,
  "businessDomain": "booking.com"
}
```

Every run produces a clean dataset you can page through in the Apify Console or pull via API. Export to JSON, CSV, Excel, or XML in one click.

***

### Limits & accuracy {#limits}

- 📦 **Up to 50 domains per run** — queue multiple runs or use the API for larger batches.
- 📝 **Up to 200 reviews per business per run** — set with `maxReviewsPerBusiness` (default 20).
- 🕒 **Latest-first** — reviews are returned newest first, so a run always gives you the most recent customer feedback.
- 🔴 **Live data** — there is no caching. Every run reads the current public Trustpilot pages, so TrustScores, counts, and reviews are fresh at run time.
- 🎯 **What you see is what you get** — numbers match what any visitor sees publicly on the business's Trustpilot page at the moment of the run.

***

### How much will it cost? {#pricing}

Simple, predictable **pay-per-event** pricing — you pay for the records you actually receive (business records + review records), not for compute time.

| Apify plan | Price per record |
|------------|------------------|
| Free | $0.0005 |
| Bronze | $0.00045 |
| Silver | $0.0004 |
| Gold | $0.00036 |
| Platinum | $0.00032 |
| Diamond | $0.00028 |

**Worked example:** scraping 100 reviews on the Free plan costs 100 × $0.0005 = **$0.05**. The business record is just one more record on top — a run of 5 domains × 20 reviews (default) returns 105 records, about **$0.053 on Free**.

- 💸 **Pay per record** — budget is just records × rate, so you can estimate spend up front.
- 📉 **Volume discounts** — Bronze, Silver, Gold, Platinum, and Diamond Apify plans get progressively lower rates.
- 🆓 **Free to try** — new Apify accounts include monthly free usage, so your first run costs nothing.
- 🚫 **No hidden fees** — no proxy add-on, no per-request API charge, no minimum spend.

See the live rate on the [Apify store page](https://apify.com/myagizm/trustpilot-scraper).

***

### Tips {#tips}

- 🆔 **Deduplicate on `id`.** Review IDs are stable — store them and skip records you already have when you re-run on a schedule.
- ⏰ **Schedule a daily or weekly run** on your domain list with a small `maxReviewsPerBusiness` to build a review time series cheaply.
- 📊 **Track `numberOfReviewsLast12Months` over time** — review velocity is a better health signal than the raw total.
- 💬 **Watch the `reply` field.** A low reply rate on negative reviews is a competitive weakness — and a churn signal for your own brand.
- 🌍 **Segment by `location` and `language`** before running sentiment analysis; mixing markets blurs the signal.
- ⭐ **Combine `rating` with `experienceDate`** to separate product issues from delivery or seasonal service issues.
- 🔁 **For monitoring, small and frequent beats large and rare** — 20 newest reviews daily catches everything for most businesses at minimal cost.
- 🧮 **Estimate cost before scaling**: records = domains × (maxReviewsPerBusiness + 1 business record).

***

### Want other data? {#want-other-data}

The same no-login, pay-per-result approach covers the other major platforms — all by **myagizm**:

- 📸 **Instagram** — [Instagram Profile Scraper V2](https://apify.com/myagizm/instagram-profile-scraper-v2) · [Instagram Post Scraper](https://apify.com/myagizm/instagram-post-scraper-v2) · [Instagram Reel Scraper](https://apify.com/myagizm/instagram-reel-scraper-v2) · [Instagram Comment Scraper](https://apify.com/myagizm/instagram-comment-scraper-v2) · [Instagram Hashtag Scraper](https://apify.com/myagizm/instagram-hashtag-scraper-v2) · [Instagram Followers Scraper](https://apify.com/myagizm/instagram-followers-scraper-v2) · [Instagram Stories Scraper](https://apify.com/myagizm/instagram-stories-scraper-v2) · [Instagram Profile API](https://apify.com/myagizm/instagram-profile-api)
- 🎵 **TikTok** — [TikTok Profile Scraper](https://apify.com/myagizm/tiktok-profile-scraper-v2) · [TikTok Video Scraper](https://apify.com/myagizm/tiktok-video-scraper-v2) · [TikTok Hashtag Scraper](https://apify.com/myagizm/tiktok-hashtag-scraper-v2) · [TikTok Comments Scraper](https://apify.com/myagizm/tiktok-comments-scraper-v2)
- ▶️ **YouTube** — [YouTube Channel Scraper](https://apify.com/myagizm/youtube-channel-scraper) · [YouTube Comment Scraper](https://apify.com/myagizm/youtube-comment-scraper) · [YouTube Transcript Scraper](https://apify.com/myagizm/youtube-transcript-scraper)
- 🤖 **Reddit** — [Reddit Scraper](https://apify.com/myagizm/reddit-scraper-v2) · [Reddit Search Scraper](https://apify.com/myagizm/reddit-search-scraper-v2) · [Reddit Subreddit Scraper](https://apify.com/myagizm/reddit-subreddit-scraper-v2)
- 👔 **LinkedIn** — [LinkedIn Profile Scraper](https://apify.com/myagizm/linkedin-profile-scraper) · [LinkedIn Company Scraper](https://apify.com/myagizm/linkedin-company-scraper) · [LinkedIn Jobs Scraper](https://apify.com/myagizm/linkedin-jobs-scraper)
- 🐦 **X (Twitter)** — [X Tweets Scraper](https://apify.com/myagizm/x-tweets-scraper) · [X Profile Scraper](https://apify.com/myagizm/x-profile-scraper) · [X Trends Scraper](https://apify.com/myagizm/x-trends-scraper)
- 🗺️ **Google** — [Google Maps Scraper](https://apify.com/myagizm/google-maps-scraper) · [Google News Scraper](https://apify.com/myagizm/google-news-scraper) · [Google Trends Scraper](https://apify.com/myagizm/google-trends-scraper) · [Google Play Scraper](https://apify.com/myagizm/google-play-scraper) · [Google Reviews Scraper](https://apify.com/myagizm/google-reviews-scraper)
- 🔑 **SEO & research** — [Keyword Website Lists Scraper](https://apify.com/myagizm/keyword-website-lists-scraper)

Browse everything on the **[myagizm store profile](https://apify.com/myagizm)**.

***

### Use the data with AI agents (MCP) {#mcp}

The Trustpilot Scraper is available through the **Apify MCP server**, so AI assistants can call it as a tool and pull Trustpilot reviews on demand.

- 🧩 **Claude** — add the Apify MCP server and let Claude fetch and analyse the reviews.
- 🤖 **ChatGPT** — use the actor as a tool inside research and reporting workflows.
- 🖊️ **Cursor** — pull structured review data straight into your coding sessions.

Common AI-agent recipes:

- 🔎 **Reputation check** — "what's the TrustScore and latest feedback for booking.com?"
- 📊 **Competitor benchmarking** — "compare TrustScores and review counts for these 10 domains and give me a table."
- 🗂️ **VoC summarisation** — "pull the 50 newest reviews for this domain and group the complaints by theme."
- 📈 **Monitoring** — "fetch this week's reviews and flag anything rated 2 stars or below for the support team."

***

### Integrations & API {#integrations}

Connect the actor to the tools you already use: **Make, Zapier, n8n, Slack, Airbyte, Gumloop, CrewAI, IFTTT, Lindy, GitHub, Google Sheets, and Google Drive** — plus webhooks, Apify Schedules, and the MCP server.

#### Run synchronously and get the dataset (Apify API)

```bash
curl -X POST "https://api.apify.com/v2/acts/myagizm~trustpilot-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"domains": ["booking.com", "amazon.co.uk"], "maxReviewsPerBusiness": 50}'
```

#### Start a run asynchronously

```bash
curl -X POST "https://api.apify.com/v2/acts/myagizm~trustpilot-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"domains": ["booking.com", "amazon.co.uk"], "maxReviewsPerBusiness": 50}'
```

#### Fetch dataset items later

```bash
curl "https://api.apify.com/v2/acts/myagizm~trustpilot-scraper/runs/last/dataset/items?token=YOUR_APIFY_TOKEN&format=csv"
```

Change `format` to `json`, `csv`, `xlsx`, or `xml` to export in your preferred format. The Apify Console also auto-generates ready-to-paste **JavaScript, Python, and CLI** snippets plus an **OpenAPI** spec for this actor.

***

### Support {#support}

Questions, feature requests, or something not looking right? Open an issue on the actor's **[Issues tab](https://apify.com/myagizm/trustpilot-scraper/issues)**. Please include the input you used so we can reproduce and fix it quickly.

***

### FAQ {#faq}

#### Is it legal to scrape Trustpilot reviews?

The actor collects only publicly available data — the same content any visitor can see on Trustpilot without logging in. It never logs in and never accesses private or protected content. You are responsible for compliant use: review data can contain personal data (author names, locations), so follow GDPR, CCPA, and other applicable regulations, and respect Trustpilot's terms.

#### Do I need a Trustpilot account, login, cookies, or API key?

No. There is no login, no cookies, no Trustpilot Business account, and no official API key. Paste your domains and run.

#### How is this different from the official Trustpilot API?

The official API requires a Trustpilot Business account and an approved API key, and it focuses mainly on the businesses you manage. This actor reads **public web data** for **any** business domain — yours or a competitor's — with no signup, no key application, and per-record pricing.

#### How fresh is the data?

There is no caching. Every run reads the current public page, so TrustScores, review counts, and reviews are live at run time.

#### Why only the latest N reviews? Can I get the full history?

Each run returns the most recent reviews, up to 200 per business — this is the "latest-first" design that keeps runs fast and cheap for monitoring. It is not an archive crawler. For a historical corpus, run it on a schedule and accumulate: since review `id`s are stable, you can deduplicate and build your own history over time.

#### How many businesses can I scrape in one run?

Up to 50 domains per run, with up to 200 reviews per business. For larger batches, queue multiple runs via the API.

#### Does it include the business's replies to reviews?

Yes. When a business has publicly replied, the reply is included in the `reply` field. When there is no reply, `reply` is `null` — which itself is a useful reputation metric.

#### Which languages and countries are covered?

All of them. Reviews keep their original `language` and reviewer `location` fields, so you can filter or segment by market. Any business with a public Trustpilot profile works, regardless of country.

#### What does `verified` mean on a review?

It mirrors Trustpilot's public verification status for that review — whether Trustpilot considers the review verified, and at which level (`verificationLevel`).

#### What happens if a domain has no Trustpilot profile?

The run log reports it and the domain is skipped — you are not charged for records that do not exist.

#### Can I export the results to CSV, Excel, or JSON?

Yes. Export to JSON, CSV, Excel, or XML from the Console, or use the API `format` parameter. In CSV/Excel, each record type appears with its own columns.

#### Can I schedule runs for review monitoring?

Yes. Use Apify Schedules or trigger runs via API and webhooks to keep your reputation dashboard fresh — daily or weekly are the common choices.

#### Can I use it with the Apify API, Make, or Zapier?

Yes — the sync and async endpoints are shown above, and the actor plugs into Make, Zapier, n8n, Slack, Google Sheets, and the rest of the Apify integration ecosystem.

#### Is there an MCP server for AI agents?

Yes. The actor is exposed through the Apify MCP server, so Claude, ChatGPT, and Cursor can call it as a tool with natural-language prompts.

#### Is the review text complete or truncated?

Complete. The `text` field contains the full public review body (the shortened text in the example above is just for display in this README).

#### Do I need proxies?

No. Proxy handling is built in and managed for you — nothing to configure or supply.

#### How do I estimate the cost of a run?

Records ≈ domains × (reviews per business + 1 business record). On the Free plan, 5 domains × 20 reviews ≈ 105 records ≈ $0.053. Higher Apify plans pay less per record — see the pricing table above.

#### Can I use the data for sentiment analysis or LLM training?

Yes — that's one of the most common use cases. Review records include the full text, rating, language, and dates, which makes them well-suited for sentiment pipelines, VoC research, and RAG or fine-tuning datasets. As with any personal data, apply GDPR/CCPA-compliant handling.

***

### Related searches {#related-searches}

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***

### Disclaimer {#disclaimer}

This is an independent tool and is not affiliated with, endorsed by, or sponsored by Trustpilot A/S. All product names, logos, and brands are property of their respective owners.

The actor collects only **publicly available** data — the same content any visitor can see without logging in. It never logs in, never bypasses access controls, and never touches private or protected content. You are responsible for how you use the data: if it contains personal data, follow GDPR, CCPA, and other applicable regulations, and respect the platform's terms.

***

### Resources {#resources}

- 📘 [Apify API documentation](https://docs.apify.com/api/v2) — run actors and fetch datasets programmatically.
- 🤖 [Apify MCP server](https://mcp.apify.com) — use this actor as a tool in Claude, ChatGPT, and Cursor.
- 📤 [Dataset export docs](https://docs.apify.com/platform/storage/dataset) — export to JSON, CSV, Excel, and XML.
- ⏰ [Scheduling actor runs](https://docs.apify.com/platform/schedules) — keep your data fresh automatically.
- 🔌 [Apify integrations](https://docs.apify.com/platform/integrations) — n8n, Zapier, Make, Slack, and more.
- 🏪 [myagizm store profile](https://apify.com/myagizm) — the full family of no-login scrapers.

***

### 中文说明 —— Trustpilot 评论抓取工具（免 API Key、免登录）

**批量抓取公开的 Trustpilot 评论与商家资料** —— 不需要登录、不需要 Cookie、不需要 Trustpilot 商家账号、不需要官方 API Key。填入商家域名（如 `booking.com`、`amazon.co.uk`)，即可返回两类干净数据：每个域名一条**商家记录**（名称、TrustScore、星级、评论总数、近 12 个月评论数、类目、国家、官网、认证/认领状态），外加每条评论一条**评论记录**（作者、1–5 星评分、标题、全文、日期、所在地、语言、点赞数、认证状态、商家回复）。结果可导出 JSON、CSV、Excel、XML，也可通过 Apify API 定时运行，接入声誉看板、情感分析管线、CRM 或大模型训练集。

> **两分钟内免费拿到第一批数据** —— 填入域名、点击 Start 即可。无需配置，试用不需要信用卡。

### 能做什么

- ✅ **抓取任意公开 Trustpilot 商家主页**，支持域名（`booking.com`）或完整链接（`trustpilot.com/review/<域名>`)。
- ⭐ **实时 TrustScore 与星级**，与公开页面展示一致。
- 🔢 **评论总数** + **近 12 个月评论数** —— 最能反映势头的两个数字。
- 📝 **最新评论**：作者、1–5 星评分、标题、全文、发布日期、体验日期、所在地、语言、点赞数。
- ✅ **认证状态** —— 每条评论是否经过认证及认证级别。
- 💬 **商家回复** —— 可衡量商家是否回应、如何回应。
- 🏷️ **商家类目、国家、官网**，便于分群与市场研究。
- 🏢 **商家主页的认证与认领状态**。
- 📦 **单次最多 50 个域名**，每个商家最多 200 条评论。
- 📤 **导出** JSON / CSV / Excel / XML，或通过 API 实时拉取。

超越官方 Trustpilot API 的限制：无需商家账号、无需 OAuth 应用、无需申请 API Key、无需配额管理 —— 填入域名即可采集公开的评论数据。

### 谁在用

- 🛡️ **声誉管理团队** —— 跨市场监控品牌的新评论与评分，在问题发酵前响应。
- 📊 **情感分析与客户之声（VoC）团队** —— 把评论文本输入情感模型，发现反复出现的抱怨与好评点。
- ⚔️ **竞品分析师** —— 定时对比自家与对手的 TrustScore、评论增速与回复率。
- 🤖 **AI 与数据团队** —— 用真实多语言客户反馈构建 LLM 微调或 RAG 数据集。
- 📉 **客户成功团队** —— 通过评分骤降或一星评论激增，提前发现流失信号。
- 🏢 **代理商** —— 用统一字段为客户产出白标评论与声誉报告。
- 🛒 **电商与 SaaS 创业者** —— 在开发或重新定位产品前，研究客户对竞品的褒贬。

### 使用步骤

1. 打开 [Trustpilot 评论抓取工具](https://apify.com/myagizm/trustpilot-scraper)。
2. 在 *Domains* 填入商家域名：`booking.com`、`amazon.co.uk` 或 `https://www.trustpilot.com/review/booking.com` 均可。
3. （可选）设置 **Max reviews per business**（默认 20，最多 200)。
4. 点击 **▶ Start**。
5. 导出为 JSON、CSV、Excel、XML，或通过 API 获取。

不登录、不用 Cookie、不需要 Trustpilot 账号、不用配置代理。先用一个域名看输出结构，再扩展到 50 个域名 —— 字段完全一致，针对测试运行写的代码可以直接复用。

### 输入参数

| 字段 | 类型 | 说明 |
|------|------|------|
| `domains` | 字符串数组 | 要抓取的商家域名，如 `["booking.com", "amazon.co.uk"]`。也接受完整 Trustpilot 评论页链接，如 `https://www.trustpilot.com/review/booking.com`。单次最多 50 个域名。 |
| `maxReviewsPerBusiness` | 整数 | 每个商家抓取多少条最新评论。默认 `20`，最多 `200`。 |

#### 输入示例 —— 单个商家

```json
{
  "domains": ["booking.com"]
}
```

#### 输入示例 —— 多个商家、更多评论

```json
{
  "domains": [
    "booking.com",
    "amazon.co.uk",
    "https://www.trustpilot.com/review/www.expedia.com"
  ],
  "maxReviewsPerBusiness": 100
}
```

### 可以抓取哪些数据

每次运行在同一个数据集中产出两类记录：**每个域名一条商家记录**，外加**每条评论一条评论记录**。

#### 评论记录

| 字段 | 类型 | 说明 |
|------|------|------|
| `id` | string | 评论唯一 ID（稳定，可直接作主键去重） |
| `businessDomain` | string | 该评论所属的域名，批量时便于区分 |
| `author` | string | 评论者显示名 |
| `rating` | number | 星级评分，1–5 |
| `title` | string | 评论标题 |
| `text` | string | 评论全文 |
| `date` | string | 评论发布时间（ISO 8601) |
| `experienceDate` | string | 客户所述体验发生时间（ISO 8601) |
| `location` | string | 评论者国家代码（如 `CA`、`GB`) |
| `language` | string | 评论语言代码（如 `en`、`de`) |
| `likes` | number | 认为该评论有用的用户数 |
| `verified` | boolean | Trustpilot 是否标记为已认证评论 |
| `verificationLevel` | string | Trustpilot 对该评论的认证级别 |
| `reply` | object | null | 商家的公开回复（内容与日期）；商家未回复时为 `null` |

#### 商家记录

| 字段 | 类型 | 说明 |
|------|------|------|
| `name` | string | 商家显示名 |
| `domain` | string | 你请求的域名 |
| `identifyingName` | string | Trustpilot 内部识别名（如 `www.booking.com`) |
| `website` | string | 商家官网地址 |
| `trustScore` | number | TrustScore(0–5)，与公开页面一致 |
| `stars` | number | 星级（0–5)，与公开页面一致 |
| `numberOfReviews` | number | 评论总数 |
| `numberOfReviewsLast12Months` | number | 近 12 个月评论数 |
| `categories` | 字符串数组 | Trustpilot 类目（如 `["Travel Aggregator", "Hotel"]`) |
| `countryCode` | string | 商家所在国家代码（如 `NL`) |
| `verified` | boolean | 商家主页是否经 Trustpilot 认证 |
| `isClaimed` | boolean | 商家是否已认领主页 |

> 字段取决于平台对外公开了什么。某个条目没有的值会返回 `null` 而不是直接省略，因此你的数据结构始终稳定。特别地，商家未公开回复某条评论时，`reply` 为 `null`。

### 输出示例

#### 商家记录

```json
{
  "name": "Booking.com",
  "stars": 1.5,
  "domain": "booking.com",
  "website": "https://www.booking.com",
  "verified": false,
  "isClaimed": true,
  "categories": ["Travel Aggregator", "Hotel"],
  "trustScore": 1.5,
  "countryCode": "NL",
  "identifyingName": "www.booking.com",
  "numberOfReviews": 122952,
  "numberOfReviewsLast12Months": 20261
}
```

#### 评论记录

```json
{
  "id": "6a6e78eaacb04295209fa8d6",
  "date": "2026-08-02T00:53:30.000Z",
  "text": "...(long real customer complaint about a hotel booking)...",
  "likes": 0,
  "reply": null,
  "title": "Booking.com is worst as it doesn't hold…",
  "author": "Nikhil",
  "rating": 1,
  "language": "en",
  "location": "CA",
  "verified": true,
  "businessDomain": "booking.com"
}
```

每次运行都产出干净的数据集，可在 Apify 控制台翻页查看，也可通过 API 拉取，一键导出 JSON、CSV、Excel、XML。

### 限制与准确性

- 📦 **单次最多 50 个域名** —— 更大批量可通过 API 排队多次运行。
- 📝 **每个商家单次最多 200 条评论** —— 用 `maxReviewsPerBusiness` 设置（默认 20)。
- 🕒 **最新优先** —— 评论按时间倒序返回，每次运行拿到的都是最新的客户反馈。
- 🔴 **实时数据** —— 不做缓存，每次运行都读取当前公开页面，TrustScore、评论数与评论均为运行时刻的最新值。
- 🎯 **所见即所得** —— 数字与任何访客在该商家 Trustpilot 公开页面上看到的一致。

### 价格

采用**按事件计费（pay-per-event)**：只为真正拿到的记录付费（商家记录 + 评论记录），不按运行时间计费。

| Apify 套餐 | 每条记录价格 |
|------------|--------------|
| Free（免费） | $0.0005 |
| Bronze | $0.00045 |
| Silver | $0.0004 |
| Gold | $0.00036 |
| Platinum | $0.00032 |
| Diamond | $0.00028 |

**举例:** 在 Free 套餐下抓取 100 条评论，费用为 100 × $0.0005 = **$0.05**。商家记录每条也只算一条 —— 5 个域名 × 20 条评论（默认）共返回 105 条记录，Free 套餐约 **$0.053**。

- 💸 成本 = 记录数 × 单价，预算可提前算清。
- 📉 Apify 的 Bronze / Silver / Gold / Platinum / Diamond 套餐享阶梯折扣。
- 🆓 新账号自带每月免费额度，第一次运行不花钱。
- 🚫 无代理附加费、无单次请求费、无最低消费。

实时价格见 [Apify 商店页面](https://apify.com/myagizm/trustpilot-scraper)。

### 使用建议

- 🆔 **用 `id` 去重。** 评论 ID 稳定 —— 入库后定时重跑时跳过已有记录。
- ⏰ **每天或每周定时运行**，配合较小的 `maxReviewsPerBusiness`，低成本积累评论时间序列。
- 📊 **持续跟踪 `numberOfReviewsLast12Months`** —— 评论增速比绝对总数更能反映健康度。
- 💬 **关注 `reply` 字段。** 负面评论回复率低是竞争短板 —— 也是自家品牌的流失信号。
- 🌍 **按 `location` 和 `language` 分群后再做情感分析**，混市场会稀释信号。
- ⭐ **结合 `rating` 与 `experienceDate`**，区分产品问题与配送/季节性服务问题。
- 🔁 **做监控时，少量多次胜过大量少次** —— 对多数商家，每天抓 20 条最新评论即可全覆盖，成本极低。
- 🧮 **扩容前先估算成本**：记录数 = 域名数 ×（每商家评论数 + 1 条商家记录）。

### 需要其他数据？

同样的免登录、按结果计费方式覆盖其他主流平台 —— 均由 **myagizm** 提供：

- 📸 **Instagram** —— [Instagram 账号资料抓取 V2](https://apify.com/myagizm/instagram-profile-scraper-v2) · [帖子抓取](https://apify.com/myagizm/instagram-post-scraper-v2) · [Reels 抓取](https://apify.com/myagizm/instagram-reel-scraper-v2) · [评论抓取](https://apify.com/myagizm/instagram-comment-scraper-v2) · [话题标签抓取](https://apify.com/myagizm/instagram-hashtag-scraper-v2) · [粉丝列表抓取](https://apify.com/myagizm/instagram-followers-scraper-v2) · [快拍抓取](https://apify.com/myagizm/instagram-stories-scraper-v2) · [Instagram Profile API](https://apify.com/myagizm/instagram-profile-api)
- 🎵 **TikTok** —— [账号抓取](https://apify.com/myagizm/tiktok-profile-scraper-v2) · [视频抓取](https://apify.com/myagizm/tiktok-video-scraper-v2) · [话题抓取](https://apify.com/myagizm/tiktok-hashtag-scraper-v2) · [评论抓取](https://apify.com/myagizm/tiktok-comments-scraper-v2)
- ▶️ **YouTube** —— [频道抓取](https://apify.com/myagizm/youtube-channel-scraper) · [评论抓取](https://apify.com/myagizm/youtube-comment-scraper) · [字幕抓取](https://apify.com/myagizm/youtube-transcript-scraper)
- 🤖 **Reddit** —— [Reddit 抓取](https://apify.com/myagizm/reddit-scraper-v2) · [搜索抓取](https://apify.com/myagizm/reddit-search-scraper-v2) · [子版块抓取](https://apify.com/myagizm/reddit-subreddit-scraper-v2)
- 👔 **LinkedIn** —— [个人资料抓取](https://apify.com/myagizm/linkedin-profile-scraper) · [公司抓取](https://apify.com/myagizm/linkedin-company-scraper) · [职位抓取](https://apify.com/myagizm/linkedin-jobs-scraper)
- 🐦 **X（推特）** —— [推文抓取](https://apify.com/myagizm/x-tweets-scraper) · [账号资料抓取](https://apify.com/myagizm/x-profile-scraper) · [热门趋势抓取](https://apify.com/myagizm/x-trends-scraper)
- 🗺️ **Google** —— [地图抓取](https://apify.com/myagizm/google-maps-scraper) · [新闻抓取](https://apify.com/myagizm/google-news-scraper) · [趋势抓取](https://apify.com/myagizm/google-trends-scraper) · [Play 商店抓取](https://apify.com/myagizm/google-play-scraper) · [评论抓取](https://apify.com/myagizm/google-reviews-scraper)
- 🔑 **SEO 与研究** —— [关键词网站列表抓取](https://apify.com/myagizm/keyword-website-lists-scraper)

全部工具见 **[myagizm 商店主页](https://apify.com/myagizm)**。

### 配合 AI 智能体使用（MCP）

本工具已接入 **Apify MCP 服务器**,Claude、ChatGPT、Cursor 等助手可以把它当作工具直接调用，用自然语言提问即可拿到结构化的 Trustpilot 评论数据，无需写胶水代码。

常见的智能体用法：

- 🔎 **声誉速查** —— "booking.com 的 TrustScore 和最新反馈怎么样？"
- 📊 **竞品对比** —— "对比这 10 个域名的 TrustScore 和评论数，给我一张表。"
- 🗂️ **VoC 摘要** —— "抓这个域名最新 50 条评论，按主题归类投诉。"
- 📈 **监控告警** —— "抓本周评论，把 2 星及以下的挑出来给客服团队。"

### 集成与 API

支持 **Make、Zapier、n8n、Slack、Airbyte、Gumloop、CrewAI、IFTTT、Lindy、GitHub、Google Sheets、Google Drive**，以及 Webhook、定时任务与 MCP 服务器。

#### 同步运行并直接拿数据（Apify API)

```bash
curl -X POST "https://api.apify.com/v2/acts/myagizm~trustpilot-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"domains": ["booking.com", "amazon.co.uk"], "maxReviewsPerBusiness": 50}'
```

#### 异步启动一次运行

```bash
curl -X POST "https://api.apify.com/v2/acts/myagizm~trustpilot-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"domains": ["booking.com", "amazon.co.uk"], "maxReviewsPerBusiness": 50}'
```

#### 事后拉取数据集

```bash
curl "https://api.apify.com/v2/acts/myagizm~trustpilot-scraper/runs/last/dataset/items?token=YOUR_APIFY_TOKEN&format=csv"
```

把 `format` 改成 `json`、`csv`、`xlsx` 或 `xml` 即可导出不同格式。Apify 控制台还会自动生成可直接粘贴的 **JavaScript、Python、CLI** 代码片段和本工具的 **OpenAPI** 规格。

### 技术支持

有疑问、功能建议或发现异常？请在该工具的 **[Issues 页面](https://apify.com/myagizm/trustpilot-scraper/issues)** 提交问题，并附上你使用的输入参数，方便我们快速复现与修复。

### 常见问题

**抓取 Trustpilot 评论合法吗？**
本工具只采集公开可见的数据，即任何未登录访客都能在 Trustpilot 上看到的内容，不登录、不访问私密内容。合规责任由使用者承担：评论数据可能包含个人信息（作者名、所在地），请遵守 GDPR、CCPA 等法规与 Trustpilot 平台条款。

**需要 Trustpilot 账号、登录、Cookie 或 API Key 吗？**
不需要。不登录、不用 Cookie、不需要 Trustpilot 商家账号、不需要官方 API Key。填入域名即可运行。

**和官方 Trustpilot API 有什么区别？**
官方 API 需要 Trustpilot 商家账号和获批的 API Key，且主要面向你自己管理的商家。本工具读取的是**公开网页数据**，可抓**任意**商家域名 —— 自己的或竞争对手的 —— 无需注册、无需申请密钥、按记录计费。

**数据有多新？**
不缓存。每次运行都读取当前公开页面，TrustScore、评论数与评论都是运行时刻的实时值。

**为什么只有最新 N 条评论？能拿全部历史吗？**
每次运行返回最新评论，每个商家最多 200 条 —— 这是"最新优先"的设计，让监控场景跑得又快又便宜，它不是历史归档工具。想要历史语料，可以定时运行自行累积：评论 `id` 稳定，去重后即可逐步建起自己的历史库。

**一次能抓多少个商家？**
单次最多 50 个域名，每个商家最多 200 条评论。更大批量可通过 API 排队多次运行。

**包含商家对评论的回复吗？**
包含。商家公开回复过的评论，回复内容在 `reply` 字段中；没有回复时 `reply` 为 `null` —— 这本身就是一项有用的声誉指标。

**覆盖哪些语言和国家？**
全部。评论保留原始 `language` 和评论者 `location` 字段，可按市场过滤或分群。只要有公开的 Trustpilot 主页，任何国家的商家都可以抓。

**评论上的 `verified` 是什么意思？**
它对应 Trustpilot 对该评论公开展示的认证状态 —— 是否视为已认证评论，以及认证级别（`verificationLevel`)。

**域名没有 Trustpilot 主页会怎样？**
运行日志会记录并跳过该域名 —— 不存在的记录不会计费。

**支持导出 CSV / Excel / JSON 吗？**
支持 JSON、CSV、Excel、XML 四种格式，控制台一键导出或用 API 的 `format` 参数。CSV/Excel 中每类记录有各自的列。

**可以定时运行做评论监控吗？**
可以。用 Apify Schedules，或通过 API 与 Webhook 触发，让声誉看板保持新鲜 —— 常见做法是每天或每周一次。

**能配合 Apify API、Make、Zapier 用吗？**
可以 —— 同步与异步接口见上方示例，也可接入 Make、Zapier、n8n、Slack、Google Sheets 等 Apify 集成生态。

**支持 AI 智能体（MCP）吗？**
支持。本工具已通过 Apify MCP 服务器开放，Claude、ChatGPT、Cursor 都可以用自然语言把它当工具调用。

**评论正文是完整的还是截断的？**
完整的。`text` 字段是公开的评论全文（上文示例中的省略只是为了 README 排版）。

**需要配置代理吗？**
不需要，已内置托管，无需任何配置。

**怎么估算一次运行的成本？**
记录数 ≈ 域名数 ×（每商家评论数 + 1 条商家记录）。Free 套餐下 5 个域名 × 20 条评论 ≈ 105 条记录 ≈ $0.053。更高套餐单价更低，见上方价格表。

**数据能用于情感分析或大模型训练吗？**
可以，这是最常见的用途之一。评论记录包含全文、评分、语言与日期，非常适合情感分析管线、客户之声研究、RAG 或微调数据集。涉及个人数据时，请按 GDPR/CCPA 合规处理。

### 相关搜索

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### 免责声明

本工具为独立第三方工具，与 Trustpilot A/S 无任何隶属、认可或赞助关系，所有商标归各自所有者。

本工具只采集**公开可见**的数据 —— 即任何未登录访客都能看到的内容。它不登录、不绕过访问控制、不获取私密内容。数据使用的合规责任由使用者承担：如涉及个人数据，请遵守 GDPR、CCPA 等法规与平台条款。

### 相关资源

- 📘 [Apify API 文档](https://docs.apify.com/api/v2) —— 通过编程方式运行 Actor 并获取数据集。
- 🤖 [Apify MCP 服务器](https://mcp.apify.com) —— 在 Claude、ChatGPT、Cursor 中把本工具当作工具调用。
- 📤 [数据集导出文档](https://docs.apify.com/platform/storage/dataset) —— 导出 JSON、CSV、Excel、XML。
- ⏰ [定时运行文档](https://docs.apify.com/platform/schedules) —— 自动保持数据新鲜。
- 🔌 [Apify 集成](https://docs.apify.com/platform/integrations) —— n8n、Zapier、Make、Slack 等。
- 🏪 [myagizm 商店主页](https://apify.com/myagizm) —— 完整的免登录抓取工具家族。

# Actor input Schema

## `domains` (type: `array`):

Domains to scrape reviews for, e.g. "booking.com". Trustpilot review URLs also work (https://www.trustpilot.com/review/booking.com). Max 50 per run.

## `maxReviewsPerBusiness` (type: `integer`):

How many of the latest reviews to return per domain, e.g. 50. Reviews come newest-first.

## Actor input object example

```json
{
  "domains": [
    "booking.com",
    "amazon.co.uk"
  ],
  "maxReviewsPerBusiness": 20
}
```

# Actor output Schema

## `results` (type: `string`):

All scraped items as structured JSON.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "domains": [
        "booking.com"
    ],
    "maxReviewsPerBusiness": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("myagizm/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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "domains": ["booking.com"],
    "maxReviewsPerBusiness": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("myagizm/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 '{
  "domains": [
    "booking.com"
  ],
  "maxReviewsPerBusiness": 20
}' |
apify call myagizm/trustpilot-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=myagizm/trustpilot-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/FFJTVA9z4zvhOmv29/builds/SUKC5qoJVaxtXxNtd/openapi.json