# Trustpilot Reviews Scraper - $3/1000 (`scrapeunblocker/trustpilot-scraper`) Actor

Scrape a company's Trustpilot page as structured JSON - overall rating, review count and individual reviews with author, rating, title, text and date. Powered by ScrapeUnblocker.

- **URL**: https://apify.com/scrapeunblocker/trustpilot-scraper.md
- **Developed by:** [Scrapeunblocker](https://apify.com/scrapeunblocker) (community)
- **Stats:** 2 total users, 1 monthly users, 60.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 reviews

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?

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

Scrape any company's **Trustpilot reviews** as clean, structured JSON - the TrustScore, the 1-5 star distribution and every review with its rating, text, verified badge, author and the company's own reply. Automatic pagination and full filtering. No Trustpilot account, login or cookies.

Powered by [ScrapeUnblocker](https://scrapeunblocker.com)'s anti-bot bypass - no proxies or CAPTCHA setup.

### What you get

**A `COMPANY` summary record** (in the key-value store) with:

- **Company name**, domain and categories
- **TrustScore** and star rating
- **Total review count** and reviews in the last 12 months
- **1-5 star distribution** with per-rating counts
- Contact details and country

**Each review** (in the dataset) with:

- **Rating** (1-5), **title** and full **body** text
- **Verified** badge and verification level
- **Author**: name, country and how many reviews they've written
- The **company's reply**, with its date
- Review **language**, published date and experienced date
- The company name, domain and TrustScore for context

### Features

- **Rich company profile** - not just reviews, but the full TrustScore, review volume and 1-5 star breakdown.
- **Automatic pagination** - set `max_reviews` and the scraper pages through Trustpilot until it collects that many (or Trustpilot runs out).
- **Full filtering** - by star rating, date window (last 30 days / 3 / 6 / 12 months), language, keyword search, verified-only or replies-only.
- **Sorting** - most recent or most relevant.
- **Any company** - pass a domain (`www.nike.com`), a full site URL or a pasted Trustpilot review URL.

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `company` | string | **required** | The reviewed company's domain, e.g. `www.nike.com`. |
| `max_reviews` | integer | 100 | How many reviews to collect (20 per page). |
| `stars` | select | Any | Only reviews with this star rating (1-5). |
| `sort` | select | Most recent | `recency` or `relevancy`. |
| `date` | select | All time | `last30days`, `last3months`, `last6months` or `last12months`. |
| `language` | string | `all` | Review language ISO-2 code (e.g. `en`) or `all`. |
| `search` | string | - | Only reviews mentioning this keyword. |
| `verified` | boolean | false | Only verified reviews. |
| `replies` | boolean | false | Only reviews the company replied to. |
| `proxy_country` | string | - | Exit-IP country (ISO-2), or blank to auto-select. |

### Example output (one dataset item)

```json
{
  "id": "6a9dfe49...",
  "rating": 1,
  "title": "Terrible returns experience",
  "text": "Ordered the wrong size and the refund took three weeks...",
  "verified": true,
  "author": { "name": "Amanda", "country": "US", "reviewCount": 4 },
  "date": "2026-09-06T10:12:00.000Z",
  "reply": { "text": "We're sorry to hear this...", "date": "2026-09-07T08:00:00.000Z" },
  "language": "en",
  "companyName": "Nike",
  "companyDomain": "www.nike.com",
  "companyTrustScore": 1.5
}
```

### Use cases

- **Reputation monitoring** - track TrustScore and new reviews for your brand or competitors.
- **Review analytics** - pull the 1-5 star distribution and review volume over time.
- **Voice-of-customer / sentiment** - feed review text into your own analysis or an LLM.
- **Support quality** - see which negative reviews the company replied to, and how quickly.

### Pricing

$3 per 1,000 reviews - cheaper than comparable Trustpilot scrapers, with the full company profile included.

***

Built on [ScrapeUnblocker](https://scrapeunblocker.com). Questions? [developers.scrapeunblocker.com](https://developers.scrapeunblocker.com)

# Actor input Schema

## `company` (type: `string`):

The reviewed company's domain, e.g. 'www.nike.com' or 'nike.com'. A full site URL or a pasted Trustpilot review URL also works.

## `max_reviews` (type: `integer`):

How many reviews to collect across pages (20 per page). The scraper pages automatically until it reaches this many or Trustpilot runs out.

## `stars` (type: `string`):

Only reviews with this star rating. Leave as Any for all.

## `sort` (type: `string`):

Ordering of the reviews.

## `date` (type: `string`):

Only reviews from a recent window.

## `language` (type: `string`):

Review language ISO-2 code (e.g. 'en', 'de') or 'all'.

## `search` (type: `string`):

Only reviews mentioning this keyword.

## `verified` (type: `boolean`):

Only verified reviews (Trustpilot's verified badge).

## `replies` (type: `boolean`):

Only reviews the company has replied to.

## `proxy_country` (type: `string`):

Exit-IP country (ISO-2, e.g. 'US'). Leave blank to let ScrapeUnblocker choose.

## Actor input object example

```json
{
  "company": "www.nike.com",
  "max_reviews": 40,
  "stars": "",
  "sort": "recency",
  "date": "",
  "language": "all",
  "verified": false,
  "replies": false
}
```

# Actor output Schema

## `items` (type: `string`):

Collected reviews

# 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 = {
    "company": "www.nike.com",
    "max_reviews": 40
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapeunblocker/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 = {
    "company": "www.nike.com",
    "max_reviews": 40,
}

# Run the Actor and wait for it to finish
run = client.actor("scrapeunblocker/trustpilot-scraper").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 '{
  "company": "www.nike.com",
  "max_reviews": 40
}' |
apify call scrapeunblocker/trustpilot-scraper --silent --output-dataset

```

## MCP server setup

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

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/eWM4Buz5IE0v70CUh/builds/orbTYmJjG8nN5B30b/openapi.json