# Trustpilot Reviews Scraper + New Review Monitor (`mojocakes/trustpilot-review-monitor`) Actor

Extract Trustpilot reviews for any company — full history or only reviews new since the last run. Ratings, text, replies, verification, dates. Built for brand monitoring, competitor tracking, and AI pipelines.

- **URL**: https://apify.com/mojocakes/trustpilot-review-monitor.md
- **Developed by:** [James Cook](https://apify.com/mojocakes) (community)
- **Categories:** Lead generation, Automation, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.80 / 1,000 reviews

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 + New Review Monitor

Extract **Trustpilot reviews for any company** — as a full export or as an **incremental monitor that returns only reviews posted since your last run**. Built for brand monitoring, competitor tracking, reputation dashboards, and AI/LLM pipelines.

### What it does

- Scrapes all reviews for one or more companies (by website domain or Trustpilot URL)
- **Monitor mode:** remembers the newest review per company and outputs only new ones — schedule it daily and feed alerts, Slack, or your CRM
- Filters: star rating, language, date cutoff
- Includes company replies, verification status, dates, TrustScore
- Clean, stable JSON schema — ready for spreadsheets, BI tools, or agents

### Output example

```json
{
  "companyDomain": "www.example.com",
  "companyName": "Example Ltd",
  "trustScore": 4.4,
  "reviewId": "68a9...",
  "rating": 1,
  "title": "Order never arrived",
  "text": "Three weeks and nothing...",
  "language": "en",
  "datePublished": "2026-08-20T09:14:11.000Z",
  "dateOfExperience": "2026-08-12T00:00:00.000Z",
  "verified": true,
  "consumerName": "Jane D",
  "consumerCountry": "GB",
  "replyText": "We're sorry to hear...",
  "replyDate": "2026-08-21T10:02:33.000Z"
}
```

### Typical uses

- **Brand monitoring** — get every new review about your company the moment your daily run fires
- **Competitor intelligence** — track ratings, complaint themes, and reply behaviour across rivals
- **Churn & CX research** — mine 1–2★ reviews for failure patterns
- **AI pipelines** — feed clean review JSON into LLM summarisation or sentiment flows

### Monitor mode

Enable `monitorMode` and run the actor on a schedule (e.g. daily). The first run sets a baseline (and returns up to `maxReviewsPerCompany` reviews). Every later run returns **only reviews newer than the last seen one** per company. Connect a webhook or integration to act on new reviews automatically.

### Fair use

This actor only collects publicly visible review content, with minimal reviewer fields (display name and country as shown publicly). No login-walled data, no personal-data enrichment. Please respect Trustpilot's terms and applicable law for your use case.

# Actor input Schema

## `companies` (type: `array`):

Company website domains (e.g. `www.currys.co.uk`) or full Trustpilot review URLs (e.g. `https://www.trustpilot.com/review/www.currys.co.uk`). One review page exists per domain.

## `maxReviewsPerCompany` (type: `integer`):

Upper limit of reviews to fetch per company in this run. Newest reviews come first.

## `monitorMode` (type: `boolean`):

When enabled, the actor remembers the newest review it has seen for each company (per Task) and outputs only reviews published after that. Ideal on a schedule: run daily and get just the new reviews. The first run returns reviews up to the max limit and sets the baseline.

## `sinceDate` (type: `string`):

Optional ISO date (e.g. `2026-08-01`). Only reviews published after this date are returned. Applied in addition to monitor mode.

## `starsFilter` (type: `array`):

Only include reviews with these star ratings (1–5). Leave empty for all.

## `languages` (type: `string`):

Language filter passed to Trustpilot. Use `all` for every language, or a code like `en`, `de`, `fr`.

## `includeReplies` (type: `boolean`):

Include the company's public reply text and date for each review, when present.

## `proxyConfiguration` (type: `object`):

Proxy settings. Residential proxy is strongly recommended — Trustpilot blocks most datacenter IP ranges.

## Actor input object example

```json
{
  "companies": [
    "www.currys.co.uk"
  ],
  "maxReviewsPerCompany": 100,
  "monitorMode": false,
  "starsFilter": [],
  "languages": "all",
  "includeReplies": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

Trustpilot reviews scraped by this run (or only new reviews, in monitor mode).

# 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 = {
    "companies": [
        "www.currys.co.uk"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("mojocakes/trustpilot-review-monitor").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 = { "companies": ["www.currys.co.uk"] }

# Run the Actor and wait for it to finish
run = client.actor("mojocakes/trustpilot-review-monitor").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 '{
  "companies": [
    "www.currys.co.uk"
  ]
}' |
apify call mojocakes/trustpilot-review-monitor --silent --output-dataset

```

## MCP server setup

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

```

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/uUrIdqoaWYoMmgykq/builds/Bz4it8tutihsK4zCe/openapi.json