# Trustpilot Reviews Scraper (`intelscrape/trustpilot-reviews-scraper`) Actor

Extract public Trustpilot reviews — ratings, titles, body, dates, replies — by company domain or review URL. Optional paid review-summary + review-insights digests. Pay per review. Demo mode included.

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

## Pricing

from $1.00 / 1,000 reviews

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/actors/running/actors-in-store.md#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 Reviews Scraper – Ratings Titles Replies & TrustScore

![Actor Banner](https://api.apify.com/v2/key-value-stores/PyvJzfQg02FD3RYhd/records/trustpilot-reviews-scraper-banner.png)

> 🇨🇳 **中文简介 (Chinese — China & Singapore):**
> Trustpilot 评论抓取 / 评分标题正文与公司回复：按公司域名或 review URL 提取星级、标题、正文、日期、作者国家与回复。按交付评论计费，无需 API Key——适合品牌监测、客服质检与跨境口碑分析。亚马逊 VOC 可接 Amazon Product Review Scraper；现在就在 Apify 运行，把评论导出到监测表。

> 🇸🇬 **Ringkasan Melayu (Singapore):**
> Perlukan data ulasan Trustpilot? Actor ini ekstrak rating, tajuk, teks, tarikh, balasan syarikat dan isyarat TrustScore melalui domain atau URL. Bayar per ulasan dihantar, tiada API key. Sesuai untuk jenama dan agensi di Singapura yang pantau reputasi. Cuba di Apify hari ini.

#### 🤖 NEW: Connect This To Your AI!

Want Trustpilot review intel inside Claude, Cursor, or ChatGPT? Use the **[Skip Trace MCP Server](https://apify.com/intelscrape/skip--trace)** — ask your AI to pull ratings, titles, replies & TrustScore signals via MCP, then pair with **[Amazon Product Review Scraper](https://apify.com/intelscrape/amazon-product-review-scraper)** for e-commerce voice-of-customer. Need brand-owner outreach? Soft-cross to **[Shopify Store Leads](https://apify.com/intelscrape/shopify-owner-email)** / **[Skip Trace PRO](https://apify.com/intelscrape/skip-trace-pro)**.

#### 🏆 Featured Bots by IntelScrape

1. **[Trustpilot Reviews Scraper](https://apify.com/intelscrape/trustpilot-reviews-scraper)** — Ratings, Titles, Replies & TrustScore
2. **[Amazon Product Review Scraper](https://apify.com/intelscrape/amazon-product-review-scraper)** — Deep E-commerce & Review Extraction
3. **[Shopify Store Leads](https://apify.com/intelscrape/shopify-owner-email)** — Niche Packs & Owner Emails
4. **[Skip Trace PRO](https://apify.com/intelscrape/skip-trace-pro)** — Name, Address, Phone & Email People Lookup
5. **[TruePeopleSearch Scraper](https://apify.com/intelscrape/truepeoplesearch-scraper)** — Phone & Email Matches
6. **[Website Contact Scraper](https://apify.com/intelscrape/contact-info-scraper)** — Emails, Phones & Social Links
7. **[Google Maps No-Website Leads](https://apify.com/intelscrape/website-Leads)** — Local Businesses Without a Website
8. **[Skip Trace MCP Server](https://apify.com/intelscrape/skip--trace)** — Use IntelScrape inside Claude, Cursor, ChatGPT

> **Nice — paid upsell:** Keep `includeReviewSummary` on for `review-summary`, and `includeReviewInsights` on for a deeper `review-insights` digest (ranked complaint themes, top negative terms, request snippets — no LLM; undercuts memo23). Pair with **[Amazon Product Review Scraper](https://apify.com/intelscrape/amazon-product-review-scraper)**.

***

⚡ **Use this Actor in n8n — no code**

1. Add the official **Apify** node in n8n.
2. Connect your Apify API token.
3. Run Actor ID: `IntelScrape/trustpilot-reviews-scraper`.

***

![billing](https://img.shields.io/badge/billing-pay_per_review-2ea44f)
![API key](https://img.shields.io/badge/API_key-not_required-blue)
![coverage](https://img.shields.io/badge/coverage-Trustpilot_public-8a2be2)
![demo](https://img.shields.io/badge/demoMode-fixtures_included-informational)

**Trustpilot Reviews Scraper** — clean public-page extraction with honest pay-per-result billing.\
**Pay per delivered review. No API key required.**

> **Honest coverage & billing (read this):** Source is **public Trustpilot** company/review pages — not private Trustpilot Business inbox. Billed via `apify-actor-start` + `apify-default-dataset-item` per delivered review + `review-summary` once per company when `includeReviewSummary` is on + `review-insights` once per company when `includeReviewInsights` is on (deterministic themes / negative terms / requests; **no external LLM**). `demoMode` = fictional fixtures.

***

> 🧭 Built for **brand ops, agencies, CX teams, and e-commerce reputation researchers.** Popular with teams in the **US, China, and Singapore**.

> ⭐ **Store rating is driven by daily power users.** If this Actor saves you time, please [leave a review](https://apify.com/intelscrape/trustpilot-reviews-scraper).

> ⚖️ **Lawful business use only.** Public pages only. You are liable for how you use the data.

> 📌 *Examples in this README are **fictional** unless stated otherwise.*

***

### Filters (parity with top Store scrapers)

- **searchTerms\[]** — brand-name search: resolve each term via Trustpilot public search/autosuggest to a company domain (`/review/{domain}`), then scrape like domains. Domain-like terms (contain a dot) are used directly. Failures are logged — companies are never invented.
- **domains** / **startUrls** — direct company domains or full Trustpilot review URLs
- **stars** — multi-select 1–5
- **languages** — ISO codes (en, de, fr, …)
- **countries\[]** — ISO alpha-2 author country filter (client-side on `authorCountry`)
- **dateRange** — last30days / last3months / last6months / last12months
- **publishedAfter** — ISO date cutoff (client-side)
- **lastDays** — rolling window (now−N days); composed with `publishedAfter` (more recent cutoff wins)
- **topics\[]** / **reviewKeyword** — title+text must contain at least one topic/keyword (case-insensitive, OR)
- **verifiedOnly** / **repliesOnly**
- **sort** — recency or relevance
- **includeReviewSummary** — company summary with avg stars, histogram, reply rate, top keywords, and deterministic **complaintThemes** counts — charged as `review-summary` ($0.01/company)
- **includeReviewInsights** — deeper digest: ranked complaint themes with severity, top negative terms from 1–2★ reviews, request snippets — charged as `review-insights` ($0.01/company; undercuts memo23 $0.02)
- **sampling** — `balanced` (default) or `proportional`: when `maxReviews` caps the filtered pool, pick which reviews to keep (equal per star vs match observed star mix). Logged in run output.
- **Company flat enrich** — every review row includes `companyStars`, `companyTotalReviews`, `companyWebsite`, `companyCountryCode` from the page `businessUnit` (null-safe; keeps existing `companyName` / `companyTrustScore`)

Filters are applied as Trustpilot URL query params plus a client-side safety net. Each review includes `isVerified` when Trustpilot exposes it.

### 🕵️‍♂️ Why Choose Us vs. "Cheaper" Competitors?

| Feature | Trustpilot Reviews Scraper (IntelScrape) | Thin scrapers |
| :--- | :--- | :--- |
| **Input** | Domains and/or Trustpilot URLs | Single brittle URL only |
| **Billing** | Pay per delivered review | Opaque compute |
| **Fields** | Stars, title, text, reply + optional company summary | Missing replies |
| **Summary add-on** | `review-summary` + `review-insights` PPE (per company) | Rarely billed separately / pricier AI digests |

***

### Quick start

```json
{
  "domains": ["amazon.com"],
  "maxReviews": 50,
  "maxPages": 3,
  "demoMode": false
}
```

**Demo (fictional fixtures + new filters):**

```json
{
  "demoMode": true,
  "domains": ["example-shop.com"],
  "countries": ["US"],
  "lastDays": 400,
  "topics": ["shipping"],
  "maxReviews": 5,
  "sampling": "balanced",
  "includeReviewSummary": true,
  "includeReviewInsights": true
}
```

***

### What you get

- `reviewId`
- `companyDomain` / `companyName` / `companyTrustScore`
- `companyStars` / `companyTotalReviews` / `companyWebsite` / `companyCountryCode`
- `rating`
- `title`
- `text`
- `date`
- `authorName`
- `replyText`
- `url`
- `source`

***

### Pricing (PPE — live)

| Event | When it fires |
| :--- | :--- |
| Actor start (`apify-actor-start`) | Once per run |
| Review (`apify-default-dataset-item`) | Each delivered row via `pushData` |
| Company summary (`review-summary`) | Once per company when `includeReviewSummary` delivers a summary |
| Review insights (`review-insights`) | Once per company when `includeReviewInsights` delivers insights |

***

### Legal

Public pages only. Not affiliated with the source sites. Lawful B2B / research use; you are responsible for compliance. Demo content is fictional.

Company-summary rows include dataset `softCta` cross-sell links (Google Reviews / Contact Info / Skip Trace PRO / Amazon Product Reviews) — no extra charge.

# Actor input Schema

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

Trustpilot company domains (e.g. amazon.com).

## `startUrls` (type: `array`):

Full Trustpilot review page URLs.

## `searchTerms` (type: `array`):

Brand names to resolve via Trustpilot public search/autosuggest to a company domain (/review/{domain}), then scrape like domains. Domain-like terms (contain a dot) are used directly. Failures are logged — companies are never invented.

## `maxReviews` (type: `integer`):

Maximum reviews to push across all targets.

## `maxPages` (type: `integer`):

How many Trustpilot review pages to crawl per domain (~20 reviews/page).

## `stars` (type: `array`):

Only include these star ratings. Leave empty for all.

## `languages` (type: `array`):

ISO language codes (e.g. en, de, fr). Leave empty for all.

## `countries` (type: `array`):

ISO alpha-2 country codes (e.g. US, GB, DE). Client filter on authorCountry. Leave empty for all.

## `dateRange` (type: `string`):

Trustpilot date preset. Empty/all = no date filter.

## `publishedAfter` (type: `string`):

Only keep reviews published strictly after this ISO date/datetime (YYYY-MM-DD or full timestamp).

## `lastDays` (type: `integer`):

Rolling window: only reviews newer than now−N days. Composed with publishedAfter — the more recent cutoff wins.

## `topics` (type: `array`):

Client filter: title+text must contain at least one topic (case-insensitive).

## `reviewKeyword` (type: `string`):

Single keyword filter (same as topics). title+text must contain this string (case-insensitive). Combined with topics\[] (OR).

## `verifiedOnly` (type: `boolean`):

Only include verified purchase / invitation reviews.

## `repliesOnly` (type: `boolean`):

Only include reviews that have a company reply.

## `sort` (type: `string`):

Order before scraping. Affects which reviews you get when limited.

## `sampling` (type: `string`):

When maxReviews caps results: balanced = equal budget across star ratings 1–5 among collected reviews; proportional = sample matching the observed star histogram. Applied after filters, before push.

## `demoMode` (type: `boolean`):

Push synthetic fixtures (no live scrape). Use for Store smoke / PPE tests.

## `includeReviewSummary` (type: `boolean`):

After scraping, push one company-level summary row (avg rating, star histogram, reply rate, top keywords, sentiment buckets) and charge the review-summary event once per company. Heuristic extractive summary — no external LLM.

## `includeReviewInsights` (type: `boolean`):

After scraping, push one review-insights row per company (rating breakdown, ranked complaint themes with severity, top negative terms from 1–2★ reviews, request snippets) and charge review-insights once per company. Deterministic — no external LLM. Undercuts memo23 reviewInsights pricing.

## Actor input object example

```json
{
  "domains": [
    "amazon.com"
  ],
  "searchTerms": [],
  "maxReviews": 50,
  "maxPages": 3,
  "languages": [],
  "countries": [],
  "dateRange": "",
  "topics": [],
  "verifiedOnly": false,
  "repliesOnly": false,
  "sort": "recency",
  "sampling": "balanced",
  "demoMode": false,
  "includeReviewSummary": true,
  "includeReviewInsights": true
}
```

# Actor output Schema

## `reviews` (type: `string`):

Review rows pushed to the default dataset.

# 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": [
        "amazon.com"
    ],
    "searchTerms": [],
    "languages": [],
    "countries": [],
    "topics": []
};

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

# Prepare the Actor input
run_input = {
    "domains": ["amazon.com"],
    "searchTerms": [],
    "languages": [],
    "countries": [],
    "topics": [],
}

# Run the Actor and wait for it to finish
run = client.actor("intelscrape/trustpilot-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": [
    "amazon.com"
  ],
  "searchTerms": [],
  "languages": [],
  "countries": [],
  "topics": []
}' |
apify call intelscrape/trustpilot-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,intelscrape/trustpilot-reviews-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/n2sIcTfafet3tbGPC/builds/MmVi8pYVOYkmhH9cs/openapi.json