# Ostrovok Reviews Scraper (`stealth_mode/ostrovok-reviews-scraper`) Actor

Scrape guest reviews from Ostrovok.ru hotel pages including ratings, traveller types, trip context, wifi quality, and staff replies. Export up to 200 reviews per hotel with flexible sorting — perfect for hospitality analysts and reputation managers.

- **URL**: https://apify.com/stealth\_mode/ostrovok-reviews-scraper.md
- **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community)
- **Categories:** Automation, Developer tools, Travel
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

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/platform/actors/running/actors-in-store#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

## Ostrovok.ru Reviews Scraper: Extract Hotel Reviews at Scale

***

### What Is Ostrovok.ru?

Ostrovok.ru is one of Russia's largest online hotel booking platforms, hosting detailed guest reviews across thousands of properties. These reviews contain valuable signals — ratings, traveller profiles, trip types, and management replies — that are difficult to collect manually at scale. The **Ostrovok.ru Reviews Scraper** automates this process, delivering clean, structured review data ready for analysis.

***

### Overview

The **Ostrovok Reviews Scraper** targets hotel detail pages on Ostrovok.ru and extracts paginated guest review data. It is built for:

- **Hotel managers** monitoring guest sentiment and competitor reputation
- **Data analysts** building hospitality review datasets
- **OTA researchers** studying review patterns across Russian travel platforms
- **Reputation management teams** tracking response rates and ratings over time

The scraper supports sorting options, pagination control, and bulk URL input — making it suitable for both single-property audits and large-scale data collection.

***

### Input Format

```json
{
  "ignore_url_failures": true,
  "max_items_per_url": 200,
  "urls": [
    "https://ostrovok.ru/hotel/russia/moscow/mid10000400/katyusha_hotel_3/?dates=30.05.2026-31.05.2026&guests=2&room=s-4f915d87-11ee-51b9-bc8f-c2f48d903ca6&q=2395"
  ],
  "page": 2,
  "sort_by": "relevance_desc"
}
```

#### Field Reference

| Field | Type | Description |
|---|---|---|
| `urls` | `array` | One or more Ostrovok.ru **hotel detail page** URLs. Paste individually or use Bulk edit. |
| `sort_by` | `string` | Sort order for reviews. Options: `relevance_desc` (Relevance), `date_desc` (Newest), `rate_desc` (Highest rating), `rate_asc` (Lowest rating) |
| `page` | `integer` | Page number to start scraping from. Default: `1`. Use `2`+ to skip early pages or resume a run. |
| `ignore_url_failures` | `boolean` | If `true`, failed URLs are skipped without stopping the entire run. Recommended for bulk jobs. Default: `true` |
| `max_items_per_url` | `integer` | Maximum reviews collected per URL. Default: `20`. Maximum recommended: `200`. |

> **Tip:** Include date and guest parameters in the URL (as shown above) to ensure the page loads correctly with available reviews. Use `sort_by: "date_desc"` for the most recent reviews, or `rate_asc` to surface critical feedback first.

***

### Output Format

#### Sample Record (Annotated)

```json
{
  "id": 1754286,
  "review_type": "ost",
  "review_date": "2025-08-28 09:23:23.417476+00",
  "order_context": {
    "adult_num": 2,
    "author_name": "Vladimir",
    "author_room": "Двухместный номер Стандарт (двуспальная кровать) (в главном здании)",
    "author_residency": "en-ru",
    "bedding_types": [
      "double"
    ],
    "check_in": "2025-08-24 00:00:00+00",
    "check_out": "2025-08-27 00:00:00+00"
  },
  "detailed": {
    "cleanness": 10,
    "location": 10,
    "price": 10,
    "services": 10,
    "room": 10,
    "meal": 10
  },
  "traveller_type": "couple",
  "trip_type": "leisure",
  "wifi_quality": null,
  "rating": 10,
  "reply": {
    "text": ""
  },
  "from_url": "https://ostrovok.ru/hotel/search/v1/site/reviews?page=2&page_size=10&lang=en&sort=relevance_desc&hotel=katyusha_hotel_3"
}
```

Each review returns a flat record with the following fields:

| Field | Meaning |
|---|---|
| `ID` | Unique identifier for the review |
| `Review Type` | Classification of the review (e.g., verified stay, anonymous) |
| `Review Date` | Date the review was submitted |
| `Order Context` | Booking context associated with the review (e.g., room type, booking channel) |
| `Detailed` | Full review text, typically split into pros/cons or a general comment |
| `Traveller Type` | Profile of the reviewer (e.g., solo, couple, family, business) |
| `Trip Type` | Purpose of the trip (e.g., leisure, business) |
| `Wifi Quality` | Reviewer's rating or comment on wifi specifically |
| `Rating` | Overall numerical score given by the reviewer |
| `Reply` | Hotel management's response to the review, if present |

***

### How to Use

1. **Get the hotel URL** — Open the target hotel page on Ostrovok.ru. Copy the full URL including date and guest parameters.
2. **Set your sort order** — Choose `date_desc` for recent reviews or `rate_asc` to prioritize negative feedback.
3. **Configure pagination** — Set `page: 1` to start from the beginning, or a higher number to resume from a specific page.
4. **Set item limit** — Use `max_items_per_url: 200` for comprehensive coverage per property.
5. **Run and export** — Download results as JSON or CSV for use in spreadsheets, dashboards, or NLP pipelines.

**Common issues:**

- If reviews don't load, ensure the URL includes valid `dates` and `guests` query parameters.
- Set `ignore_url_failures: true` when processing multiple hotels to avoid interruptions.
- Reviews may vary by session — using consistent date parameters improves reproducibility.

***

### Use Cases & Business Value

- **Sentiment analysis:** Feed `Detailed` and `Rating` fields into NLP models to classify guest satisfaction trends
- **Reputation benchmarking:** Compare ratings and reply rates across competitor hotels
- **Operational insights:** Use `Wifi Quality` and `Traveller Type` to identify specific friction points by guest segment
- **Response monitoring:** Track whether and how quickly hotels reply via the `Reply` field

***

### Conclusion

The **Ostrovok.ru Reviews Scraper** turns paginated hotel review pages into structured, analysis-ready datasets. With control over sorting, pagination, and volume, it adapts to both quick audits and large-scale research workflows. Start collecting reviews today to power smarter hospitality decisions.

# Actor input Schema

## `urls` (type: `array`):

Add the URLs of the Hotels details urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.

## `sort_by` (type: `string`):

Select your option to sort reviews

## `page` (type: `integer`):

The page to start from

## `ignore_url_failures` (type: `boolean`):

If true, the scraper will continue running even if some URLs fail to be scraped.

## `max_items_per_url` (type: `integer`):

The maximum number of items to scrape per URL.

## Actor input object example

```json
{
  "urls": [
    "https://ostrovok.ru/hotel/russia/moscow/mid10000400/katyusha_hotel_3/?dates=30.05.2026-31.05.2026&guests=2&room=s-4f915d87-11ee-51b9-bc8f-c2f48d903ca6&q=2395"
  ],
  "page": 1,
  "ignore_url_failures": true,
  "max_items_per_url": 20
}
```

# 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 = {
    "urls": [
        "https://ostrovok.ru/hotel/russia/moscow/mid10000400/katyusha_hotel_3/?dates=30.05.2026-31.05.2026&guests=2&room=s-4f915d87-11ee-51b9-bc8f-c2f48d903ca6&q=2395"
    ],
    "page": 1,
    "ignore_url_failures": true,
    "max_items_per_url": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("stealth_mode/ostrovok-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 = {
    "urls": ["https://ostrovok.ru/hotel/russia/moscow/mid10000400/katyusha_hotel_3/?dates=30.05.2026-31.05.2026&guests=2&room=s-4f915d87-11ee-51b9-bc8f-c2f48d903ca6&q=2395"],
    "page": 1,
    "ignore_url_failures": True,
    "max_items_per_url": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("stealth_mode/ostrovok-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 '{
  "urls": [
    "https://ostrovok.ru/hotel/russia/moscow/mid10000400/katyusha_hotel_3/?dates=30.05.2026-31.05.2026&guests=2&room=s-4f915d87-11ee-51b9-bc8f-c2f48d903ca6&q=2395"
  ],
  "page": 1,
  "ignore_url_failures": true,
  "max_items_per_url": 20
}' |
apify call stealth_mode/ostrovok-reviews-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/O3zJVUUNDgFZzDKBB/builds/y21LZBatedLBhS4Rm/openapi.json