# Trustpilot Reviews Scraper Pro (`tzmyk/trustpilot-reviews-scraper-pro`) Actor

Extract reviews from any Trustpilot company page. Get reviewer names, ratings, titles, review text, dates, and verified purchase status. Handles pagination automatically up to 500 reviews per run.

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

## Pricing

from $2.00 / 1,000 review scrapeds

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/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 Reviews Scraper Pro

Extract reviews from any Trustpilot company page with ease. Get reviewer names, ratings, titles, review text, dates, and verified purchase status — all in structured JSON, ready for analysis or export.

### What it does

This Actor scrapes public reviews from [Trustpilot](https://www.trustpilot.com) company pages and outputs structured data for each review. It handles pagination automatically to collect as many reviews as you need, up to 500 per run.

### Use cases

- **Brand monitoring** — Track what customers say about your business over time
- **Competitor analysis** — Compare ratings and sentiment across competing companies
- **Market research** — Understand customer pain points in a specific industry
- **Sentiment analysis** — Feed review data into NLP/AI pipelines for sentiment scoring
- **Lead generation** — Identify businesses with poor reviews as potential sales targets
- **RAG / LLM datasets** — Collect domain-specific review text for AI training or retrieval

### Input

| Field | Type | Required | Default | Description |
|---|---|---|---|---|
| `url` | string | ✅ | — | Full Trustpilot company review URL (e.g. `https://www.trustpilot.com/review/amazon.com`) |
| `maxReviews` | integer | — | 50 | Number of reviews to scrape (1–500) |

#### Example input

```json
{
  "url": "https://www.trustpilot.com/review/amazon.com",
  "maxReviews": 100
}
```

### Output

Each review is saved as a dataset item with the following fields:

| Field | Type | Description |
|---|---|---|
| `reviewerName` | string | Display name of the reviewer |
| `rating` | integer | Star rating (1–5) |
| `title` | string | Review headline |
| `body` | string | Full review text |
| `date` | string | ISO 8601 publish date (e.g. `2024-11-01T10:23:00.000Z`) |
| `verifiedPurchase` | boolean | Whether the review is marked as verified |

#### Example output

```json
[
  {
    "reviewerName": "Jane Smith",
    "rating": 4,
    "title": "Great service, fast delivery",
    "body": "Ordered on Monday, arrived Wednesday. Product exactly as described. Would buy again.",
    "date": "2024-11-01T10:23:00.000Z",
    "verifiedPurchase": true
  },
  {
    "reviewerName": "John Doe",
    "rating": 1,
    "title": "Terrible customer support",
    "body": "Waited 3 weeks for a response. Never resolved my issue.",
    "date": "2024-10-28T08:45:00.000Z",
    "verifiedPurchase": false
  }
]
```

### Features

- **Automatic pagination** — Follows all review pages until the target count is reached
- **Dual extraction** — Parses reviews from the embedded JSON payload; falls back to JSON-LD if blocked
- **Verified purchase detection** — Flags reviews marked as verified by Trustpilot
- **Rate limiting** — Respects Trustpilot's servers with built-in request delays
- **Input validation** — Rejects invalid URLs early with clear error messages
- **Fast & lightweight** — Uses Cheerio (no browser required); typically completes 50 reviews in under 10 seconds

### Notes

- Only public review pages are supported (login-required content is not scraped)
- Trustpilot's Terms of Service allow scraping of publicly visible review data for personal and research use
- For large datasets (500+ reviews), consider scheduling multiple runs with different page offsets

### Support

Found a bug or have a feature request? Leave a review on this Actor's page or contact via Apify.

# Actor input Schema

## `url` (type: `string`):

Full Trustpilot company review URL, for example https://www.trustpilot.com/review/example.com

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

Maximum number of reviews to scrape across paginated Trustpilot review pages.

## Actor input object example

```json
{
  "url": "https://www.trustpilot.com/review/trustpilot.com",
  "maxReviews": 50
}
```

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

// Prepare Actor input
const input = {
    "url": "https://www.trustpilot.com/review/trustpilot.com"
};

// Run the Actor and wait for it to finish
const run = await client.actor("tzmyk/trustpilot-reviews-scraper-pro").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 = { "url": "https://www.trustpilot.com/review/trustpilot.com" }

# Run the Actor and wait for it to finish
run = client.actor("tzmyk/trustpilot-reviews-scraper-pro").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 '{
  "url": "https://www.trustpilot.com/review/trustpilot.com"
}' |
apify call tzmyk/trustpilot-reviews-scraper-pro --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ldNVeZHzwSnE8mUjl/builds/ikmNvVh5HLSOAI27o/openapi.json