# AI Trustpilot Brand Analyzer (`paul-dev/ai-review-analyzer`) Actor

Extracts Trustpilot reviews and uses Google Gemini AI to generate a Brand Health Report highlighting pros, cons, and sentiment.

- **URL**: https://apify.com/paul-dev/ai-review-analyzer.md
- **Developed by:** [Paul](https://apify.com/paul-dev) (community)
- **Categories:** AI, Automation, SEO tools
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$250.00 / 1,000 ai brand health reports

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/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

## AI Trustpilot Brand Health Analyzer 🧠📊

Stop reading thousands of angry reviews manually. This Actor scrapes Trustpilot reviews for any company and uses Google's Gemini AI to instantly generate a clean, executive-level **Brand Health Report**.

Perfect for Marketing Agencies, Brand Managers, and Competitor Research.

### 🚀 Why use this Actor?

Standard scrapers just give you a massive spreadsheet of text. This Actor reads the text for you and outputs actionable business intelligence.

Instead of guessing why a product is failing, get immediate answers.

### 💡 What it extracts:

- **Overall Sentiment:** A one-sentence AI summary of the brand's public perception.
- **Top 3 Pros:** The most praised features or services.
- **Top 3 Cons:** The most consistent customer complaints.
- **Raw Data:** The raw text of all scraped reviews for your own records.

### 🛠 How to use it:

1. Provide the target **Trustpilot URL**.
2. Paste your **Google Gemini API Key** (We use your key so you don't pay markup on AI compute costs! It is kept 100% secure and secret).
3. Set the maximum number of reviews to analyze.
4. Click Start and download your JSON/Excel report!

### ⚠️ Requirements

You must have a free or paid Google Gemini API key to run the analysis engine.

# Actor input Schema

## `targetUrl` (type: `string`):

The Trustpilot page you want to analyze (e.g., https://www.trustpilot.com/review/www.apify.com)

## `geminiApiKey` (type: `string`):

Your Google Gemini API Key

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

How many reviews should we read before analyzing?

## Actor input object example

```json
{
  "maxReviews": 20
}
```

# Actor output Schema

## `overview` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("paul-dev/ai-review-analyzer").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("paul-dev/ai-review-analyzer").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 '{}' |
apify call paul-dev/ai-review-analyzer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=paul-dev/ai-review-analyzer",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/fGEoRat6ILvKa9YGx/builds/GHcXK75InLtVpihb0/openapi.json