# HRS Reviews Scraper (`knagymate/hrs-reviews-scraper`) Actor Scrape HRS hotel reviews and ratings. Extract guest comments, category ratings, reviewer profiles, and aggregated hotel scores. Supports multiple hotels, date filtering, and review limits. Outputs clean, structured JSON ready for travel analytics, hospitality intelligence, and AI workflows. - **URL**: https://apify.com/knagymate/hrs-reviews-scraper.md - **Developed by:** [knagymate](https://apify.com/knagymate) (community) - **Categories:** Travel, Automation, Developer tools - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $3.00 / 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/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 ## HRS Reviews Scraper Scrape structured **HRS hotel reviews and rating data** with an Apify Actor built for travel analytics, hospitality intelligence, and SEO workflows. This project collects guest review records from HRS hotel pages and returns clean JSON output with: - review metadata (review/stay dates, reviewer profile fields, locale, language) - positive and negative guest comments - detailed category ratings per review - hotel-level aggregated rating summary --- ### Why this scraper - Built for **HRS review scraping** with stable ID resolution from hotel URLs. - Supports multiple hotels in one run via `startUrls`. - Optional date filtering with `cutoffDate` for incremental scraping. - Configurable cap using `maxReviewsPerHotel`. - Can return a `summary` record even when no review passes filters (`alwaysReturnSummary`). - Output is AI-ready and analytics-friendly for ETL pipelines. --- ### Supported HRS URLs Use standard HRS hotel detail URLs, for example: ```text https://www.hrs.com/en/hotel/391864 ```` The Actor resolves the final URL, extracts the hotel ID, and requests review data from HRS rating endpoints. *** ### Input schema | Field | Type | Required | Default | Description | |---|---|---:|---:|---| | `startUrls` | `array` | Yes | - | HRS hotel URLs to process | | `maxReviewsPerHotel` | `integer` | No | `100` | Maximum number of returned review records per hotel | | `cutoffDate` | `string` (`YYYY-MM-DD`) | No | - | Keep reviews on/after this date | | `alwaysReturnSummary` | `boolean` | No | `true` | Push a summary record when no review record is returned | `cutoffDate` is interpreted as a local date (Europe/Berlin assumption from input schema). *** ### Example input ```json { "startUrls": [ { "url": "https://www.hrs.com/en/hotel/391864" } ], "maxReviewsPerHotel": 100, "cutoffDate": "2025-01-01", "alwaysReturnSummary": true } ``` *** ### Output format The Actor stores results in the default Apify dataset. Output field documentation is provided in the generated output section based on `DATASET_SCHEMA`. *** ### Example output item (`recordType: review`) ```json { "recordType": "review", "reviewId": "317018243", "reviewDate": "2026-05-29 11:14:44.207000+00:00", "arrivalDate": "2026-03-27 00:00:00+00:00", "departureDate": "2026-03-30 00:00:00+00:00", "reviewerName": "J\u00fcrgen B.", "reviewerType": "BUSINESS", "reviewerAgeGroup": "UP_TO_59", "locale": "en", "language": "eng", "reviewerCommentPositive": "Die zentrale Lage ist nahezu perfekt.", "reviewerCommentNegative": null, "hotelRecommendation": true, "ratings": { "average": 8.4, "breakfastService": 8.0, "friendlinessOfReception": 9.0 }, "hotelSummary": { "hotelId": "391864", "startUrl": "https://www.hrs.com/en/hotel/391864", "actualUrl": "https://www.hrs.com/en/hotel/391864", "ratings": { "average": 9.1, "pricePerformanceRatio": 8.7 } } } ``` *** ### How to use on Apify 1. Open the Actor on Apify. 2. Add one or more HRS hotel URLs to `startUrls`. 3. Optionally set `maxReviewsPerHotel` and `cutoffDate`. 4. Run the Actor and export results from the dataset. *** If this Actor helps your workflow, a rating on Apify is appreciated. # Actor input Schema ## `startUrls` (type: `array`): Hotel detail page URLs on HRS to scrape reviews from. ## `maxReviewsPerHotel` (type: `integer`): Maximum number of reviews to scrape per hotel ## `cutoffDate` (type: `string`): Only keep reviews on or after this date (YYYY-MM-DD). Interpreted as a local date, assumed to be in the Europe/Berlin timezone — HRS does not expose timezone information. Leave empty to scrape all available reviews. ## `alwaysReturnSummary` (type: `boolean`): Whether to always return a summary of hotel reviews, even if no reviews were found. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.hrs.com/en/hotel/391864" } ], "maxReviewsPerHotel": 100, "cutoffDate": "2025-01-01", "alwaysReturnSummary": true } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ { "url": "https://www.hrs.com/en/hotel/391864" } ], "maxReviewsPerHotel": 100, "alwaysReturnSummary": true }; // Run the Actor and wait for it to finish const run = await client.actor("knagymate/hrs-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://www.hrs.com/en/hotel/391864" }], "maxReviewsPerHotel": 100, "alwaysReturnSummary": True, } # Run the Actor and wait for it to finish run = client.actor("knagymate/hrs-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://www.hrs.com/en/hotel/391864" } ], "maxReviewsPerHotel": 100, "alwaysReturnSummary": true }' | apify call knagymate/hrs-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=knagymate/hrs-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "HRS Reviews Scraper", "description": "Scrape HRS hotel reviews and ratings. Extract guest comments, category ratings, reviewer profiles, and aggregated hotel scores. Supports multiple hotels, date filtering, and review limits. Outputs clean, structured JSON ready for travel analytics, hospitality intelligence, and AI workflows.", "version": "0.0", "x-build-id": "K2ms3hvHU0ywayMuN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/knagymate~hrs-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-knagymate-hrs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/knagymate~hrs-reviews-scraper/runs": { "post": { "operationId": "runs-sync-knagymate-hrs-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/knagymate~hrs-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-knagymate-hrs-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "startUrls" ], "properties": { "startUrls": { "title": "Hotel URLs", "type": "array", "description": "Hotel detail page URLs on HRS to scrape reviews from.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxReviewsPerHotel": { "title": "Maximum number of reviews per hotel", "minimum": 1, "type": "integer", "description": "Maximum number of reviews to scrape per hotel", "default": 100 }, "cutoffDate": { "title": "Cutoff date", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Only keep reviews on or after this date (YYYY-MM-DD). Interpreted as a local date, assumed to be in the Europe/Berlin timezone — HRS does not expose timezone information. Leave empty to scrape all available reviews." }, "alwaysReturnSummary": { "title": "Always return a summary", "type": "boolean", "description": "Whether to always return a summary of hotel reviews, even if no reviews were found.", "default": true } } }, "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 } } } } } } } } } } ```