# Trustpilot Reviews Scraper Pro (`red.cars/trustpilot-reviews-scraper-pro`) Actor

Trustpilot reviews for any company at $0.35 per 1,000. Star, date, language, keyword, verified and replied-to filters run before billing. Star slicing gets up to 1,000 reviews per company.

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

## Pricing

Pay per event

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 Pro

Scrape Trustpilot reviews for any company with **star, date, language, verified, replied-to and keyword filters applied before billing**. You pay only for reviews that match. **$0.35 per 1,000 reviews**, about half what the most-used Trustpilot actor charges.

**Why this one:** the most popular Trustpilot scraper on the Apify Store charges $0.50 to $0.75 per 1,000 reviews plus add-ons. This actor charges $0.35 per 1,000, never bills a filtered-out review, and pulls the 1-star complaints first when you slice by star, so the data you actually need is never crowded out by 5-star noise.

### What you get

- Reviews for any business on Trustpilot: paste a domain (`amazon.com`) or the Trustpilot URL
- Filters that run on Trustpilot's side: star rating, date range, language, keyword, verified only, replied-to only
- Exact cutoff date (`reviewsSince`) for cheap daily incremental syncs: older reviews are skipped and not charged
- **Star slicing**: Trustpilot shows anonymous visitors 200 reviews per view. When you ask for more than 200, the actor scrapes each star rating separately (up to 5 x 200 = 1,000 per language), balances them, and de-duplicates
- Company TrustScore and total review count on every row, so multi-company runs drop straight into a spreadsheet
- Company reply text and date, reviewer country and review count
- Fast HTTP scraping, no browser, multiple companies in parallel

### Input

| Field | Type | What it does |
|---|---|---|
| `companies` | list | Domains (`www.amazon.com`) or Trustpilot review URLs. Required. |
| `maxReviewsPerCompany` | number | Hard cap per company (default 200, max 5,000). |
| `stars` | list | Only these ratings, e.g. `["1","2"]` for complaints. Empty = all. |
| `dateRange` | select | `all`, `last30days`, `last3months`, `last6months`, `last12months`. |
| `reviewsSince` | date | Exact cutoff (YYYY-MM-DD). Older reviews are never charged. |
| `language` | text | `en`, `de`, `fr`, `es`... or `all`. Default `en`. |
| `keyword` | text | Only reviews mentioning a word, e.g. `refund`, `delivery`. |
| `verifiedOnly` | boolean | Only verified reviews. |
| `withRepliesOnly` | boolean | Only reviews the company replied to. |
| `sliceByStar` | boolean | Get past the 200-review view limit (default on). |

Example:

```json
{
  "companies": ["www.amazon.com", "https://www.trustpilot.com/review/www.zalando.co.uk"],
  "maxReviewsPerCompany": 500,
  "stars": ["1", "2"],
  "dateRange": "last3months",
  "keyword": "refund"
}
```

### Output

One row per review:

| Field | Example |
|---|---|
| `companyDomain` | www.amazon.com |
| `companyTrustScore` | 1.6 |
| `companyTotalReviews` | 49517 |
| `reviewId` / `reviewUrl` | 6abc76ee... / https://www.trustpilot.com/reviews/6abc76ee... |
| `rating` | 1 |
| `title`, `text` | Full review title and body |
| `language` | en |
| `publishedDate`, `experiencedDate`, `updatedDate` | ISO dates |
| `isVerified`, `verificationLevel`, `source` | false, not-verified, Organic |
| `likes` | 1 |
| `reviewerName`, `reviewerCountry`, `reviewerReviewCount`, `reviewerId` | tom none, AU, 2 |
| `replyText`, `replyDate` | Company reply, if any |
| `scrapedAt` | Timestamp |

Export as JSON, CSV, Excel, or pull it through the API, n8n, Make, Zapier or an MCP client.

### Pricing

Pay per event, no subscription:

- **$0.005** per run start
- **$0.00035 per review** saved ($0.35 per 1,000)

1,000 complaint reviews for a competitor costs about 36 cents. Filtered-out reviews are free.

### Use cases

- **Competitor complaint mining**: pull every 1 and 2-star review mentioning "refund" or "delivery" for your top five competitors
- **Brand monitoring**: daily run with `reviewsSince` set to yesterday, piped to Slack or a sheet
- **Lead generation**: find businesses with low TrustScores and no replies to negative reviews
- **AI and LLM data**: clean review text with ratings for sentiment models and RAG pipelines
- **Customer support QA**: see which complaints your team replied to and which it didn't

### FAQ

**How many reviews can I get per company?**
Trustpilot shows anonymous visitors 10 pages (200 reviews) per filtered view. With star slicing on, you get up to 1,000 per language. Narrowing by date range, keyword or language opens more views. For most businesses under about 1,000 reviews per language that means everything.

**Do I pay for reviews my filters remove?**
No. Filtering happens before anything is saved or charged.

**Why do I need the UNBLOCKER proxy?**
Trustpilot blocks datacenter and ordinary residential IPs. The default proxy setting is the one that works, keep it.

**Which Trustpilot domains work?**
Any business profile on trustpilot.com, including regional companies like `www.zalando.co.uk`. Paste the domain exactly as it appears in the Trustpilot URL.

**Is scraping Trustpilot legal?**
The actor collects only publicly visible reviews and no login is used. Personal data rules (GDPR and similar) still apply to how you store and use reviewer names, so check with your counsel for your use case.

# Actor input Schema

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

Company domains (amazon.com, www.zalando.co.uk) or Trustpilot review URLs (https://www.trustpilot.com/review/www.amazon.com).

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

Hard cap per company. Trustpilot shows 200 reviews per filter view publicly; with star slicing on you get up to 1,000 per language.

## `stars` (type: `array`):

Only these star ratings. Leave empty for all.

## `dateRange` (type: `string`):

Trustpilot's own date filter.

## `reviewsSince` (type: `string`):

Exact cutoff date. Older reviews are skipped and never charged. Great for daily incremental syncs.

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

Two-letter language code (en, de, fr, es...) or 'all'.

## `keyword` (type: `string`):

Only reviews containing this word or phrase (Trustpilot's own search, e.g. refund, delivery, support).

## `verifiedOnly` (type: `boolean`):

Only reviews Trustpilot marks as verified.

## `withRepliesOnly` (type: `boolean`):

Only reviews that have a public reply from the company.

## `sliceByStar` (type: `boolean`):

When no star filter is set and you ask for more than 200, the actor scrapes each star rating separately (5 x 200) and de-duplicates.

## `proxyConfiguration` (type: `object`):

Trustpilot blocks datacenter and plain residential IPs. Keep the default UNBLOCKER group.

## Actor input object example

```json
{
  "companies": [
    "www.amazon.com"
  ],
  "maxReviewsPerCompany": 200,
  "stars": [],
  "dateRange": "all",
  "language": "en",
  "verifiedOnly": false,
  "withRepliesOnly": false,
  "sliceByStar": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "UNBLOCKER"
    ]
  }
}
```

# Actor output Schema

## `results` (type: `string`):

One row per Trustpilot review that matched your filters, with company TrustScore and reply data.

# 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 = {
    "companies": [
        "www.amazon.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("red.cars/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 = { "companies": ["www.amazon.com"] }

# Run the Actor and wait for it to finish
run = client.actor("red.cars/trustpilot-reviews-scraper-pro").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 '{
  "companies": [
    "www.amazon.com"
  ]
}' |
apify call red.cars/trustpilot-reviews-scraper-pro --silent --output-dataset

```

## MCP server setup

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

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/x5ejVBzEgKutbKbuv/builds/RfvZbEDA9XwKALNaM/openapi.json