# Trustpilot Reviews Scraper & Reputation Intelligence (`azzarilabs/trustpilot-reviews-reputation-intelligence`) Actor

Scrape public Trustpilot reviews without an API key or login, export structured ratings, replies and company data, and analyze observed reputation health, trends and recurring complaints.

- **URL**: https://apify.com/azzarilabs/trustpilot-reviews-reputation-intelligence.md
- **Developed by:** [Azzari Labs](https://apify.com/azzarilabs) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.50 / 1,000 review results

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Trustpilot Reviews Scraper & Reputation Intelligence

Private Apify Actor for observing public Trustpilot company pages with a standard headless Chromium browser and exporting structured reviews plus deterministic reputation signals.

### Zero-cost acquisition

- HTTP-first access is not used for data when Trustpilot serves its verification interstitial; the production transport uses anonymous standard Chromium.
- No Trustpilot API key, account login, personal cookies, CAPTCHA solver, bypass, proxy, or paid external service is used.
- The browser uses an isolated context with `en-US` locale and UTC timezone. Public `__NEXT_DATA__` is parsed from the rendered page.
- The public review window is capped at 200 reviews per company (10 public pages at 20 reviews/page). A cap warning is emitted when Trustpilot reports more pages.

### Input

`companies` is required and defaults to `trustpilot.com`. Other defaults are 25 reviews per company, newest ordering, all ratings/languages, and company replies/profile enabled. A run cannot start with an empty company list.

### Output

Dataset rows are either `review` or `company_summary`. Every row carries `source=trustpilot` and a UTC `retrieved_at`. `OUTPUT` is JSON and `REPORT.html` is a self-contained HTML report. No synthetic review data is generated.

### PPE readiness

The prepared event is `review-result` at USD 0.00050 per unique valid public review delivered. Company summaries, warnings, errors, duplicates, empty results, OUTPUT, and REPORT are not billable. Store publication and monetization activation are intentionally separate deployment steps.

### Development

```text
python -m unittest discover -s tests -q
apify validate-schema
```

The Actor is intended to remain private and unpublished until an explicit release decision.

# Actor input Schema

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

Public Trustpilot company domains or full company profile URLs.

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

Maximum public reviews to observe per company. The public surface is capped at 200 reviews in this version.

## `sortBy` (type: `string`):

Choose the public Trustpilot ordering used for review pages.

## `starRatings` (type: `array`):

Optional star filters. Empty means all public ratings.

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

Optional ISO language codes. Empty uses the public Trustpilot default.

## `includeCompanyReplies` (type: `boolean`):

Include public replies posted by the company when Trustpilot exposes them.

## `includeCompanyProfile` (type: `boolean`):

Include the public Trustpilot company profile and rating distribution in summary rows.

## Actor input object example

```json
{
  "companies": [
    "trustpilot.com"
  ],
  "maxReviewsPerCompany": 25,
  "sortBy": "newest",
  "starRatings": [],
  "languages": [],
  "includeCompanyReplies": true,
  "includeCompanyProfile": true
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `output` (type: `string`):

No description

## `report` (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("azzarilabs/trustpilot-reviews-reputation-intelligence").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("azzarilabs/trustpilot-reviews-reputation-intelligence").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 '{}' |
apify call azzarilabs/trustpilot-reviews-reputation-intelligence --silent --output-dataset

```

## MCP server setup

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

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/LveSmCOogNkFzeVK0/builds/igz3eAjn5Bsdzhmew/openapi.json