# TopHotels Reviews Scraper (`one_house/tophotels-reviews-scraper`) Actor Scrape hotel reviews, ratings, and detailed service scores from TopHotels.ru by hotel URL or ID. - **URL**: https://apify.com/one\_house/tophotels-reviews-scraper.md - **Developed by:** [One House](https://apify.com/one_house) (community) - **Categories:** Travel, Other, E-commerce - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 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. 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 ## TopHotels Hotel & Reviews Scraper Extract **hotel aggregate stats** and **guest reviews** from [TopHotels.ru](https://tophotels.ru) using a normal hotel page URL or hotel ID. Ideal for reputation monitoring, competitor analysis, and hospitality data pipelines focused on Russian-speaking travel markets. ### What you get #### Hotel-level stats These fields are attached to every review row. A full summary is also saved in the key-value store as `HOTEL_INFO_{hotelId}`. - Overall rating (e.g. **4.62** on a 1–5 scale) and star class (e.g. **5**) - Recommendation breakdown: **recommend %**, counts for recommend / abstain / not recommend - Aggregate category scores: accommodation, service, food - Total ratings & reviews count, plus count affecting the rating - Engagement: likes, subscribers, visitors, currently at hotel, planned visits - Review source split: tourists vs travel agents - Yearly rating history (`ratingsByYear`: rating, change, reviews added per year) - Hotel name, country, city, and location #### Review-level data - Review title, text, and type (full review, mini review, service rating, etc.) - Overall rating on a **1–5** scale, plus accommodation / service / food scores - Recommendation status (recommend, not recommend, abstain) - Visit dates, trip type, and stay confirmation flag - Detailed service category ratings (WiFi, beach, animation, rooms, etc.) - Author name, city, profile stats, and engagement metrics (views, comments, useful votes) - Full review text (enabled by default) - Hotel / business replies to reviews (when posted by the property) ### How to use 1. Open this Actor and click **Start** 2. Add TopHotels hotel URLs under **Hotel URLs**, or paste hotel IDs under **Hotel IDs** (`327877` or `al327877`) 3. Set **Max reviews per hotel** (`0` = all available reviews) 4. **Fetch full review text** is enabled by default. #### Finding the hotel ID The hotel slug is in the URL: - `https://tophotels.ru/hotel/al327877` - Numeric ID: `327877` ### Input example ```json { "startUrls": [ { "url": "https://tophotels.ru/hotel/al327877" } ], "maxReviews": 100, "fetchFullText": true } ```` ### Output example Each dataset item is one review. Hotel stats are denormalized onto each row for easy filtering and export: ```json { "reviewId": "2789424", "reviewUrl": "https://tophotels.ru/review/2789424", "hotelId": "327877", "hotelSlug": "al327877", "hotelName": "Xanadu Makadi Bay 5*", "hotelUrl": "https://tophotels.ru/hotel/al327877", "hotelLocation": "Египет, Макади Бэй", "hotelRatingValue": 4.62, "hotelStarRating": 5, "hotelRecommendPercent": 83.2, "hotelRecommendCount": 326, "hotelAbstainCount": 36, "hotelNotRecommendCount": 30, "hotelAccommodationRating": 4.62, "hotelServiceRating": 4.62, "hotelFoodRating": 4.62, "hotelReviewCount": 481, "hotelListReviewCount": 477, "hotelRatingsAffectingCount": 218, "hotelLikesCount": 248, "hotelSubscribersCount": 239, "hotelVisitorsCount": 707, "hotelCurrentlyAtHotelCount": 2, "hotelPlannedVisitCount": 7, "title": "Суперотдых", "text": "В отеле понравилось абсолютно все...", "overallRating": 5, "ratingScale": 5, "accommodationRating": 5, "serviceRating": 5, "foodRating": 5, "recommendation": "recommend", "reviewType": "Мини отзыв", "visitDates": "04.06.26 - 13.06.26", "tripType": "Отдых парой", "authorName": "Владимир", "authorCity": "Сызрань", "source": "tophotels", "scrapedAt": "2026-07-14T18:45:00.000Z" } ``` #### Hotel summary (`HOTEL_INFO_{hotelId}`) The key-value store entry includes the same hotel fields plus `ratingsByYear`, `reviewsFromTourists`, and `reviewsFromAgents`: ```json { "hotelId": "327877", "hotelSlug": "al327877", "hotelName": "Xanadu Makadi Bay 5*", "ratingValue": 4.62, "starRating": 5, "recommendPercent": 83.2, "reviewCount": 481, "listReviewCount": 477, "likesCount": 248, "visitorsCount": 707, "ratingsByYear": [ { "year": 2026, "rating": 4.63, "change": 0.18, "reviewsAdded": 30 } ] } ``` ### Limitations - Only public published reviews are returned. - Hotel stats reflect the values visible on the hotel page at scrape time. # Actor input Schema ## `startUrls` (type: `array`): TopHotels hotel page URLs. Example: https://tophotels.ru/hotel/al327877 ## `hotelIds` (type: `array`): TopHotels hotel IDs or slugs (e.g. 327877 or al327877). Alternative to URLs. ## `maxReviews` (type: `integer`): Maximum number of reviews to scrape per hotel. Set 0 for all available reviews. ## `sort` (type: `string`): How reviews are sorted. ## `fetchFullText` (type: `boolean`): Include the full review text in each result. Enabled by default. ## `proxyConfiguration` (type: `object`): Optional Apify Proxy. Enable if requests are blocked. ## Actor input object example ```json { "startUrls": [ { "url": "https://tophotels.ru/hotel/al327877" } ], "maxReviews": 100, "sort": "-date", "fetchFullText": true, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "startUrls": [ { "url": "https://tophotels.ru/hotel/al327877" } ], "maxReviews": 100, "sort": "-date", "fetchFullText": true }; // Run the Actor and wait for it to finish const run = await client.actor("one_house/tophotels-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 = { "startUrls": [{ "url": "https://tophotels.ru/hotel/al327877" }], "maxReviews": 100, "sort": "-date", "fetchFullText": True, } # Run the Actor and wait for it to finish run = client.actor("one_house/tophotels-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 '{ "startUrls": [ { "url": "https://tophotels.ru/hotel/al327877" } ], "maxReviews": 100, "sort": "-date", "fetchFullText": true }' | apify call one_house/tophotels-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=one_house/tophotels-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TopHotels Reviews Scraper", "description": "Scrape hotel reviews, ratings, and detailed service scores from TopHotels.ru by hotel URL or ID.", "version": "0.2", "x-build-id": "4fffnQJHclZFDjKWB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/one_house~tophotels-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-one_house-tophotels-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/one_house~tophotels-reviews-scraper/runs": { "post": { "operationId": "runs-sync-one_house-tophotels-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/one_house~tophotels-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-one_house-tophotels-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Hotel URLs", "type": "array", "description": "TopHotels hotel page URLs. Example: https://tophotels.ru/hotel/al327877", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "hotelIds": { "title": "Hotel IDs", "uniqueItems": true, "type": "array", "description": "TopHotels hotel IDs or slugs (e.g. 327877 or al327877). Alternative to URLs.", "items": { "type": "string" } }, "maxReviews": { "title": "Max reviews per hotel", "minimum": 0, "type": "integer", "description": "Maximum number of reviews to scrape per hotel. Set 0 for all available reviews.", "default": 500 }, "sort": { "title": "Sort order", "enum": [ "-date", "date", "-visitdate", "-rating", "-utility", "-views" ], "type": "string", "description": "How reviews are sorted.", "default": "-date" }, "fetchFullText": { "title": "Fetch full review text", "type": "boolean", "description": "Include the full review text in each result. Enabled by default.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional Apify Proxy. Enable if requests are blocked.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```