# Vio Reviews Scraper (`knagymate/vio-reviews-scraper`) Actor

High-performance Vio.com review scraper. Extract structured hotel reviews with ratings, dates, language, and reviewer data. Supports sorting, cutoff date filtering, and scalable automation via API, n8n, and ETL workflows.

- **URL**: https://apify.com/knagymate/vio-reviews-scraper.md
- **Developed by:** [knagymate](https://apify.com/knagymate) (community)
- **Categories:** Travel, Developer tools, Automation
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $2.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## 🚀 Fast Vio Reviews Scraper

**Extract hotel reviews from Vio.com quickly, reliably, and at scale.**

The **Fast Vio Reviews Scraper** is a high-performance Apify Actor built for structured extraction of hotel reviews from Vio.com.\
It is designed for scalability, automation workflows, analytics pipelines, and modern no-code integrations.

Whether you need data for sentiment analysis, competitor monitoring, or hospitality intelligence — this actor delivers clean, structured results ready to use.

***

### 🔍 What This Scraper Does

- Scrapes hotel reviews from Vio.com
- Supports sorting by relevancy, recency, and rating
- Allows filtering by cutoff date
- Extracts structured review data
- Handles large review volumes
- Returns normalized JSON output
- Built for automation and integration

***

### 📦 Extracted Data Fields

Each review contains:

| Field | Description |
|-------|------------|
| `hotelId` | Unique Vio hotel ID |
| `reviewId` | Unique review identifier |
| `rating` | Reviewer score |
| `reviewText` | Full review text |
| `reviewDate` | Date when review was posted |
| `checkInDate` | Guest check-in date |
| `checkOutDate` | Guest check-out date |
| `language` | Review language |
| `reviewSource` | Source platform of the review |
| `reviewerName` | Name of the reviewer |

***

### 📊 Example Output

```json
{
  "hotelId": "1099890",
  "reviewId": "1099890_1852097347",
  "rating": 8.0,
  "reviewText": "The staff were all helpful and very professional.",
  "reviewDate": "2026-01-12 12:20:35",
  "checkInDate": "2026-01-06 00:00:00",
  "checkOutDate": "2026-01-07 00:00:00",
  "language": "en",
  "reviewSource": "IAN",
  "reviewerName": "Angela"
}
```

***

### 🛠 Input Parameters

#### Required

**`hotelUrl`**\
Full Vio hotel URL

Example:

```
https://www.vio.com/Hotel/1099890
```

#### Optional

**`sortBy`**

- `relevancy` — Most relevant (default)
- `recency` — Newest first
- `rating_desc` — Highest scores
- `rating_asc` — Lowest scores

**`cutoffDate`**

- Returns only reviews newer than this date
- Useful for incremental scraping

**`maxReviewsPerHotel`**

- Maximum number of reviews to extract
- Default: `100`
- Minimum: `1`

***

### 🚀 Use Cases

- Hotel market research
- Competitor review monitoring
- Sentiment analysis with AI models
- Reputation management dashboards
- Travel data aggregation
- Hospitality analytics
- Data enrichment workflows
- Review monitoring automation
- n8n automation pipelines
- Zapier / Make integrations
- Internal BI dashboards

***

### 🔗 Automation & API Usage

The actor integrates seamlessly with:

- Apify API
- Scheduled runs
- Webhooks
- Custom backend systems
- ETL pipelines
- n8n workflows
- AI-powered review analysis systems

You can trigger it programmatically and pipe results directly into:

- Databases
- Google Sheets
- Notion
- Airtable
- Slack alerts
- Custom SaaS platforms

***

### ⚡ Why Use Fast Vio Reviews Scraper?

- High-speed review extraction
- Structured, clean output
- Built for scalability
- Reliable review pagination
- Automation-friendly design
- Ideal for AI-powered review processing
- Production-ready for serious data workflows

***

### ⚠️ Disclaimer

This actor is intended for lawful data collection and analytical use.\
Users are responsible for ensuring compliance with Vio.com’s terms of service and applicable regulations.

# Actor input Schema

## `hotelUrl` (type: `string`):

URL of hotel to scrape reviews from.

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

Sort the search results by the specified criteria.

## `cutoffDate` (type: `string`):

Scraper will return reviews newer than this date if it is provided.

## `maxReviewsPerHotel` (type: `integer`):

Maximum number of reviews to scrape per hotel.

## Actor input object example

```json
{
  "hotelUrl": "https://www.vio.com/Hotel/1099890",
  "sortBy": "relevancy",
  "maxReviewsPerHotel": 100
}
```

# 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 = {
    "cutoffDate": "",
    "maxReviewsPerHotel": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("knagymate/vio-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 = {
    "cutoffDate": "",
    "maxReviewsPerHotel": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("knagymate/vio-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 '{
  "cutoffDate": "",
  "maxReviewsPerHotel": 100
}' |
apify call knagymate/vio-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,knagymate/vio-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/cCOGzGnAxNiZPQqIw/builds/hAuI8utrS4yzbExsW/openapi.json