# Trustpilot Reviews Scraper (`roomi_roomi/trustpilot-reviews-scraper`) Actor

Scrape Trustpilot company reviews reliably, past AWS WAF bot protection. Filter by star rating, date range, language, and verification status.

- **URL**: https://apify.com/roomi\_roomi/trustpilot-reviews-scraper.md
- **Developed by:** [R.R](https://apify.com/roomi_roomi) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.65 / 1,000 review scrapeds

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

**Extract Trustpilot reviews reliably and at a competitive price on Apify Store.** [Trustpilot](https://www.trustpilot.com) runs AWS WAF bot protection that blocks plain HTTP scrapers outright, so this Actor drives a stealth browser (Camoufox, a hardened Firefox build) to get past it, then reads the structured review data Trustpilot embeds directly in the page — no fragile CSS scraping. Get review text, ratings, dates, reviewer details, and company replies for any public company profile, ready to use via the Apify API, scheduled runs, or your favorite integration (Zapier, Make, Google Sheets, and more).

### Why use this Trustpilot scraper?

- **Built to survive Trustpilot's bot protection.** Uses a stealth browser tuned to pass AWS WAF's bot challenge, so runs keep succeeding instead of silently failing with 403s.
- **Competitively priced.** Pay-per-review pricing with a minimal Actor-start fee — no flat monthly cost, no surprise minimums.
- **Built for monitoring at scale.** Track review sentiment for your own brand, audit a competitor's reputation, or feed review data into an LLM pipeline for analysis.
- **Reliable.** Reads Trustpilot's own embedded JSON rather than fragile CSS selectors, so it keeps working even when Trustpilot changes its page design.

### How to use the Trustpilot Reviews Scraper

1. Click **Try for free** (or **Start**) and open the **Input** tab.
2. Add one or more companies under **Companies** — either the bare domain (e.g. `www.amazon.com`) or the full Trustpilot review URL, one per line.
3. Optionally narrow results with the **star rating**, **date range**, **language**, and **verified reviews only** filters.
4. Set **Max reviews per company** to control cost (or `0` to fetch everything that matches your filters).
5. Click **Start** and download your results as JSON, CSV, Excel, or connect the dataset to your own tool via the API.

### Input

| Field | Description |
| --- | --- |
| `companies` | List of Trustpilot company domains or review URLs (required) |
| `maxReviewsPerCompany` | Cap on reviews scraped per company; `0` = unlimited |
| `stars` | Filter by star rating(s), 1–5 |
| `dateRange` | `all`, `last30days`, `last3months`, `last6months`, or `last12months` |
| `language` | ISO language code, or `all` for every language |
| `verifiedOnly` | Only include Trustpilot-verified reviews |
| `proxyConfiguration` | Apify Proxy settings (datacenter proxy on by default) |

See the **Input** tab for the full schema with examples.

### Output

Each dataset item is one review. Example:

```json
{
  "companyDomain": "www.amazon.com",
  "companyName": "Amazon",
  "companyTrustScore": 1.6,
  "reviewId": "6a67fe33e89c12178a30134b",
  "reviewUrl": "https://www.trustpilot.com/reviews/6a67fe33e89c12178a30134b",
  "title": "Delivered my order on time.",
  "text": "Delivered my order on time.",
  "rating": 4,
  "language": "en",
  "isVerified": false,
  "publishedDate": "2026-07-28T02:56:19.000Z",
  "consumerName": "Mike Henson",
  "consumerCountryCode": "US",
  "hasReply": false
}
```

You can download the dataset in JSON, CSV, Excel, HTML, or XML from the **Storage** tab, or pull it via the Apify API.

#### Data fields

| Field | Description |
| --- | --- |
| `companyName`, `companyDomain`, `companyWebsite`, `companyTrustScore`, `companyTotalReviews` | Company profile info |
| `reviewId`, `reviewUrl` | Unique review identifier and link |
| `title`, `text`, `rating`, `language` | Review content |
| `isVerified`, `verificationLevel`, `verificationSource`, `reviewSourceName` | Verification metadata |
| `experiencedDate`, `publishedDate`, `updatedDate` | Review timestamps |
| `likes`, `isPending` | Engagement and moderation status |
| `consumerId`, `consumerName`, `consumerCountryCode`, `consumerNumberOfReviews`, `consumerIsVerified` | Reviewer profile |
| `hasReply`, `replyMessage`, `replyPublishedDate` | Company's reply, if any |

### How much does it cost to scrape Trustpilot data?

This Actor uses **pay-per-event pricing** — you pay per review scraped, plus a small Actor-start fee. There's no flat subscription and no charge for compute time itself. See the **Pricing** tab for the current per-review rate; it's set to undercut comparable Trustpilot scrapers on the Store while maintaining a high success rate.

### Tips for optimizing runs

- Set **Max reviews per company** to a realistic number instead of `0` when you're testing, to control cost while you dial in filters.
- Combine the **date range** and **star rating** filters to target only the reviews you actually need — fewer results means a lower bill.
- Add multiple companies in one run to batch requests and simplify scheduling.

### FAQ

**Is this legal?** This Actor only collects publicly available review data — no login, no bypassing paywalls. It runs on your own Apify account and returns results to you; it does not distribute or resell any pre-collected Trustpilot database. You are responsible for using the resulting data in compliance with Trustpilot's terms of service and any data protection laws (e.g. GDPR, CCPA) that apply to how you use it, particularly if it includes personal data like reviewer names.

**A company isn't found.** Make sure the domain matches exactly what's in the company's Trustpilot URL — for example `www.amazon.com`, not `amazon.com`. The Actor pushes an error row explaining what went wrong instead of failing the whole run.

**Found a bug or need a custom field?** Open an issue on the Actor's **Issues** tab — feedback shapes what ships next.

# Actor input Schema

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

Trustpilot company domains or full review URLs, one per line. Use the identifying domain exactly as it appears in the company's Trustpilot URL, e.g. <code>www.amazon.com</code> or <code>https://www.trustpilot.com/review/www.amazon.com</code>.

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

Maximum number of reviews to scrape per company (after filters are applied). Set to 0 to scrape all matching reviews — this can be expensive for large companies, so start small.

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

Only scrape reviews with these star ratings. Leave empty to include all ratings.

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

Only scrape reviews experienced within this time window.

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

ISO language code to filter reviews by (e.g. "en", "de", "fr"). Use "all" to include reviews in every language.

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

Only scrape reviews Trustpilot has verified (e.g. verified invitation or verified order).

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

Apify Proxy configuration. Datacenter proxies (the default) are recommended — they keep this Actor cheap to run and are sufficient for Trustpilot.

## Actor input object example

```json
{
  "companies": [
    "www.amazon.com"
  ],
  "maxReviewsPerCompany": 10,
  "stars": [],
  "dateRange": "all",
  "language": "en",
  "verifiedOnly": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

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

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,roomi_roomi/trustpilot-reviews-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/WMMcHdytW0iPo6ljt/builds/nKYLB65kwiulp9Boq/openapi.json