# 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, NaN 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 '' with your token const client = new ApifyClient({ 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 '' with your token. client = ApifyClient("") # 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 " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ostrovok Reviews Scraper", "description": "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.", "version": "0.0", "x-build-id": "y21LZBatedLBhS4Rm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~ostrovok-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-ostrovok-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~ostrovok-reviews-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-ostrovok-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~ostrovok-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-ostrovok-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "urls": { "title": "URLs of the Hotels details urls to scrape", "type": "array", "description": "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.", "items": { "type": "string" } }, "sort_by": { "title": "Sort by", "enum": [ "relevance_desc", "date_desc", "rate_desc", "rate_asc" ], "type": "string", "description": "Select your option to sort reviews" }, "page": { "title": "Page", "type": "integer", "description": "The page to start from" }, "ignore_url_failures": { "title": "Continue running even if some URLs fail to be scraped", "type": "boolean", "description": "If true, the scraper will continue running even if some URLs fail to be scraped." }, "max_items_per_url": { "title": "Max items per URL", "type": "integer", "description": "The maximum number of items to scrape per URL." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```