# Trustpilot Reviews Scraper — Company Reviews (`darknezz/trustpilot-reviews-scraper`) Actor

Scrape Trustpilot company reviews: rating, title, text, author, date, company name and overall company rating as clean JSON. No API key, login or proxy required.

- **URL**: https://apify.com/darknezz/trustpilot-reviews-scraper.md
- **Developed by:** [Oaida Adrian](https://apify.com/darknezz) (community)
- **Categories:** Marketing, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## 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 — Company Reviews

Scrape **Trustpilot company reviews for any domain** and get every review as clean, structured JSON — individual rating, title, body text, author, date, company name and overall company score. No API key, no login, no proxy required.

Built for reputation-monitoring teams, competitor analysts and market researchers who need a whole review profile in one table.

### Why this Actor

- **No account, no API key, no proxy budget** — reads the public Trustpilot review pages directly with browser-grade TLS so requests don't get blocked.
- **Full review data** — individual review rating, title, body text, author and date on every row, not just a summary.
- **Company-level context** — overall company rating and company name included in each item, so you can benchmark brands at a glance.
- **Multi-company support** — pass multiple domains and scrape reviews across competitors in one run.
- **Pay per result** — a small fee per review scraped; a 100-review run costs a fraction of a cent.

### How it works

For each company domain the Actor fetches the Trustpilot review pages, parses the server-rendered HTML for individual review blocks, and outputs **one dataset item per review** — about 20 reviews per page, paging automatically up to `maxReviewsPerCompany`.

### Input

```json
{
  "keywords": ["amazon.com", "ebay.com"],
  "maxReviewsPerCompany": 20
}
```

| Field | Type | Description |
|---|---|---|
| `keywords` | array | Company domain names to scrape reviews from (e.g. amazon.com) — **required** |
| `maxReviewsPerCompany` | integer | Reviews to scrape per company (default 20, max 500; ~20 per page) |

### Output (one item per review)

```json
{
  "keyword": "amazon.com",
  "companyDomain": "amazon.com",
  "companyName": "Amazon",
  "companyRating": 3.8,
  "reviewRating": 5,
  "reviewTitle": "Great service",
  "reviewText": "Fast delivery and excellent customer support...",
  "reviewAuthor": "John Doe",
  "reviewDate": "March 15, 2026",
  "reviewDateIso": "2026-03-15T10:30:00.000Z"
}
```

### Use cases

- ⭐ **Reputation monitoring** — track review ratings, volume and sentiment over time, scheduled daily or weekly.
- 🏢 **Competitor analysis** — compare review profiles across competing companies to find their weak spots.
- 📊 **Market research** — aggregate review data across a category for industry-level insight.
- 🔍 **Customer insights** — mine review text for common complaints, praise and feature requests.
- 🤝 **Vendor diligence** — check a supplier's or partner's public review profile before signing.

### Run it from the API

```bash
curl -X POST "https://api.apify.com/v2/acts/darknezz~trustpilot-reviews-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords":["amazon.com"],"maxReviewsPerCompany":100}'
```

**Scheduling:** attach an Apify Schedule (e.g. daily) to build a review-history trendline for the brands you monitor — run timestamps give you the time axis for free.

### Pricing

Pay per event: a small fee for each review scraped, plus Apify's standard platform events (actor start + dataset item). No subscription — you pay only for what you run.

### FAQ

**Do I need a Trustpilot account or API key?** No. The Actor reads the public review pages directly; nothing to authenticate.

**Can it scrape reviews in other languages?** The Actor targets the English Trustpilot site, but review text is returned in whatever language the reviewer wrote in.

**How accurate is `companyRating`?** It is parsed from Trustpilot's page header — treat it as Trustpilot's own displayed score.

**How many reviews can I get?** Up to `maxReviewsPerCompany` (max 500 per company). Trustpilot pages carry ~20 reviews each and the Actor pages through automatically.

**Is scraping this legal?** Reviews are public and unauthenticated. You are responsible for complying with Trustpilot's terms and applicable laws for how you use the data.

# Actor input Schema

## `keywords` (type: `array`):

Company domain names to scrape reviews from (e.g. amazon.com). Each domain maps to its Trustpilot review page.

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

Maximum number of reviews to scrape per company (about 20 per page).

## Actor input object example

```json
{
  "keywords": [
    "amazon.com",
    "ebay.com"
  ],
  "maxReviewsPerCompany": 20
}
```

# 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 = {
    "keywords": [
        "amazon.com",
        "ebay.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("darknezz/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 = { "keywords": [
        "amazon.com",
        "ebay.com",
    ] }

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=darknezz/trustpilot-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/mfiMYxELCXMO7vsow/builds/A2F1aZ5nwfcMrrkIM/openapi.json