# TrustPilot Reviews Scraper (`powerful_bachelor/trustpilot-scraper`) Actor

🚀 Extract and analyze reviews from any Trustpilot URL with our powerful scraper. 📝 Capture review titles, texts, ratings, dates, and more. 📊 Export data in JSON, CSV, Excel, or XML formats for deeper insights into customer feedback and brand reputation management.

- **URL**: https://apify.com/powerful\_bachelor/trustpilot-scraper.md
- **Developed by:** [Powerful Bachelor](https://apify.com/powerful_bachelor) (community)
- **Categories:** E-commerce
- **Stats:** 15 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$8.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

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

## 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

The Trustpilot Reviews Scraper allows you to extract reviews directly from any Trustpilot review URL. Simply provide the review URL, and the scraper will gather all the available reviews, including ratings, comments, dates, and more. You can export the data in formats like JSON, CSV, Excel, or XML for further analysis.

### 🤔 Why scrape Trustpilot reviews?

Trustpilot reviews offer valuable insights for:

- 📊 Enhancing market research by understanding customer feedback.
- 🎯 Improving product development with direct customer input.
- 💬 Conducting sentiment analysis to gauge public opinion.
- 📈 Tracking brand reputation and customer satisfaction over time.
- 🔍 Identifying common issues or praise across multiple products or services.

### 🚀 Main Features

Trustpilot Reviews Scraper is packed with powerful features to help you extract valuable review data:

- **Review Title**: Extract the headline or title of each review.
- **Review Text**: Retrieve the full text of the review, providing detailed customer opinions.
- **Rating**: See the star rating (1-5 stars) given by the reviewer.
- **Reviewer Name**: Extract the name or alias of the reviewer.
- **Review Date**: The date when the review was posted.
- **Company Response**: If available, scrape the company's response to the review.
- **Helpful Votes**: See how many users found the review helpful.
- **Review Source**: Identify if the review was organic or invited by the company.

### 🛠️ How to scrape Trustpilot reviews

Trustpilot Reviews Scraper is designed to be user-friendly, with minimal setup required. Just follow these steps:

1. 🔑 Create a free Apify account (if you don't have one).
2. 🔍 Open the Trustpilot Reviews Scraper.
3. ✏️ Enter the Trustpilot review URL you want to scrape.
4. 🚀 Click "Save & Start" and wait for the data extraction to complete.
5. 💾 Download your data in the format of your choice: JSON, CSV, Excel, or XML.

### 📈 How many reviews can you scrape with Trustpilot Reviews Scraper?

The scraper can return thousands of reviews, depending on the number of reviews available for the given URL and other factors. The best way to determine the capacity for your specific case is to run a test scrape.

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

Our scraper is designed to respect the platform's policies and only extracts publicly available data. However, be mindful of local regulations and Trustpilot's terms of service when scraping data, especially if it involves personal information.

### 📝 Input parameters

```json
{
    "maxResults": 15,
    "businessUrls": [
        {
            "url": "https://www.trustpilot.com/review/shopwagandtail.com"
        }
    ]
}
```

### Output Example

```json
{
    "id": "66b904f1fec7e492d2918e20",
    "inputUrl": "https://www.trustpilot.com/review/shopwagandtail.com",
    "filtered": false,
    "isVerified": true,
    "rating": 5,
    "countryCode": "GB",
    "numberOfReviews": 60,
    "pending": false,
    "likes": 0,
    "createdTime": "2024-08-11T20:37:37.000Z",
    "title": "I come to Trustpilot to look for…",
    "consumerId": "4fb551e20000640001198da2",
    "displayName": "Ag",
    "isVerifiedConsumer": false,
    "hasImage": true,
    "language": "en",
    "location": null,
    "verificationLevel": "invited",
    "reviewSourceName": "BannerRedirect",
    "publishedDate": "2024-08-11T20:37:37.000Z",
    "text": "I come to Trustpilot to look for spurious companies, a great place to find if they are real or fake. Good results or bad make me decide if I buy or block.Thank you Trustpilot",
    "productReviews": []
}
```

### 🚀 Unlock Valuable Insights

Trustpilot Reviews Scraper is an essential tool for extracting and analyzing customer feedback. Whether you're looking to gain insights for market research, product development, or brand reputation management, this scraper offers a comprehensive and efficient solution. If you have any feedback or run into issues, please don't hesitate to reach out through the Actor’s Issues tab in the Apify Console. Happy scraping! 🎉

# Actor input Schema

## `businessUrls` (type: `array`):

URLs to start with

## `maxResults` (type: `integer`):

Select the number of videos you want to scrape. If this limit is not set, by default 15 posts will be returned

## Actor input object example

```json
{
  "businessUrls": [
    {
      "url": "https://www.trustpilot.com/review/shopwagandtail.com"
    }
  ],
  "maxResults": 15
}
```

# 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 = {
    "businessUrls": [
        {
            "url": "https://www.trustpilot.com/review/shopwagandtail.com"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("powerful_bachelor/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 = { "businessUrls": [{ "url": "https://www.trustpilot.com/review/shopwagandtail.com" }] }

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

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/KXx8q34p2r9rzSPA2/builds/nQWJgignoOECmqDRp/openapi.json