# HRS Hotel Reviews Scraper (`parsebird/hrs-hotel-reviews-scraper`) Actor Extract guest reviews and rating summaries from HRS.com hotel pages. Get review text, traveler type, dates, category ratings, and per-hotel rating summaries via HRS's internal API. - **URL**: https://apify.com/parsebird/hrs-hotel-reviews-scraper.md - **Developed by:** [ParseBird](https://apify.com/parsebird) (community) - **Categories:** Travel, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $0.80 / 1,000 records 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 ### HRS Hotel Reviews Scraper Extract guest reviews and rating summaries from [HRS.com](https://www.hrs.com) hotel pages. Get review text (split into what guests liked and disliked), traveler type, overall rating, and a full per-hotel rating breakdown — cleanliness, breakfast, reception, price-performance, and more.
Paste HRS hotel URLs and get every guest review with traveler type and positive/negative comments split apart, plus an 11-category hotel rating breakdown for every URL — even when a hotel has no written reviews to return.
##### Copy to your AI assistant ``` HRS Hotel Reviews Scraper on Apify (actor ID: parsebird/hrs-hotel-reviews-scraper) scrapes guest reviews and rating summaries from HRS.com hotel pages. Call it with the ApifyClient: `client.actor("parsebird/hrs-hotel-reviews-scraper").call(run_input={"startUrls": [{"url": "https://www.hrs.com/en/hotel/391864"}], "maxReviewsPerHotel": 100})`. Key inputs: startUrls (required array of {url} objects, HRS hotel page URLs), maxReviewsPerHotel (integer, default 100), cutoffDate (string YYYY-MM-DD, keep reviews on/after this local date), alwaysReturnSummary (boolean, default true — pushes a hotel summary record when no review record is returned for that hotel). Output has two record types distinguished by recordType: "review" records include reviewId, reviewDate, reviewerName, reviewerType, reviewerCommentPositive, reviewerCommentNegative, a ratings object (the review's overall score), and a nested hotelSummary with the hotel's full rating breakdown (average plus category scores like breakfastService, friendlinessOfReception, pricePerformanceRatio); "summary" records (recordType: "summary") carry hotelId, startUrl, actualUrl, and that same rating breakdown standalone. Full API spec: https://apify.com/parsebird/hrs-hotel-reviews-scraper/api. Get an API token at https://console.apify.com/settings/integrations. ``` ### What does HRS Hotel Reviews Scraper do? **HRS Hotel Reviews Scraper** pulls structured guest-review data from HRS.com, one of Europe's largest hotel booking platforms, without you having to click through review pages by hand. Paste one or more HRS hotel URLs and get every review's traveler type, overall score, and free-text comments — with positive and negative comments already split into separate fields — plus a full rating breakdown for the hotel itself. - 📝 **Review detail** — reviewer name, traveler type (business, couple, family, solo, and more), and positive/negative comments kept separate, not lumped into one blob of text. - ⭐ **Full category-level hotel ratings** — not just the overall score: breakfast, reception friendliness, room size, cleanliness, price-performance, and more. - 🏨 **Per-hotel summary** — the same rating breakdown attached to every review and also available as a standalone summary record. - 📅 **Cutoff date filter** — only keep reviews posted on or after a given local date, useful for incremental/scheduled monitoring runs. - 🛡️ **Never an empty run** — with **Always return summary** on (the default), a hotel with no written reviews still returns a summary record with its full rating breakdown instead of nothing. Runs on the Apify platform, so results are available via **API**, can be **scheduled** to run daily or weekly to track new reviews, and can feed directly into **Zapier, Make, Google Sheets, and 1,000+ integrations**. Every new Apify account includes free trial credits. ### What data can you extract from HRS.com? | Field | Description | |-------|-------------| | `reviewerName` / `reviewerType` | Who left the review and how HRS classifies them (business traveler, couple, family, …) | | `reviewDate` | When the review was posted | | `reviewerCommentPositive` / `reviewerCommentNegative` | Free-text guest comments, kept separate by sentiment | | `ratings` | The review's overall score | | `hotelSummary` | Hotel ID, canonical URL, and the full hotel rating breakdown (overall, cleanliness, breakfast, reception, price-performance, and more), nested in every review and pushed standalone as a summary record | ### How to scrape HRS.com hotel reviews with this actor 1. Click **Try for free** on the [HRS Hotel Reviews Scraper](https://apify.com/parsebird/hrs-hotel-reviews-scraper) page (a free Apify account includes trial credits). 2. Paste one or more HRS hotel URLs into **Start URLs**, e.g. `https://www.hrs.com/en/hotel/391864`. 3. Set **Max reviews per hotel** and, if you want an incremental run, a **Cutoff date**. 4. Click **Start**. 5. Open the **Dataset** tab when the run finishes and export as JSON, CSV, or Excel, or pull it via the [Apify API](https://docs.apify.com/api/v2). ### How much does it cost to scrape HRS.com reviews? HRS Hotel Reviews Scraper uses **Pay Per Event (PPE)** pricing — you pay only for records returned, review or summary, not for compute time. | Your Apify plan | Price per 1,000 records | |------------------|--------------------------| | Free | $0.90 | | Bronze / Silver / Gold | $0.80 | Scraping 1,000 reviews costs about $0.80–$0.90 depending on your plan — no separate compute charge. Every new Apify account starts with free trial credits. ### Input | Parameter | 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 local date | | alwaysReturnSummary | boolean | No | true | Push a summary record when no review record is returned | See the [Input tab](https://apify.com/parsebird/hrs-hotel-reviews-scraper/input-schema) for the full schema. ### Output example ```json { "recordType": "review", "reviewId": "preview-fe9e0765280008e4", "reviewDate": "2026-05-29", "reviewerName": "Jürgen B.", "reviewerType": "BUSINESS", "reviewerCommentPositive": "Die zentrale Lage ist nahezu perfekt.", "reviewerCommentNegative": null, "ratings": { "average": 8.4 }, "hotelSummary": { "hotelId": "391864", "startUrl": "https://www.hrs.com/en/hotel/391864", "actualUrl": "https://www.hrs.com/en/hotel/391864", "ratings": { "average": 9.1, "hotelTidiness": 9.1, "pricePerformanceRatio": 8.7, "hotelAmbiance": 9.2, "serviceOfHotelEmployees": 9.3, "friendlinessOfReception": 9.4, "breakfastService": 9.4, "qualityOfBeds": 9.0, "roomConfiguration": 8.9, "roomSize": 9.1, "sanitaryFacilities": 8.8 } } } ``` This is real output from a live run — `reviewId` is a stable hash (see FAQ), and the hotel-level `ratings` breakdown is far richer than the per-review one, since HRS's public pages only show one overall score per review but a full category breakdown per hotel. Download results as **JSON, CSV, Excel, HTML, or XML** from the Dataset tab, or pull them programmatically via the API. #### Python ```python from apify_client import ApifyClient client = ApifyClient("") run = client.actor("parsebird/hrs-hotel-reviews-scraper").call(run_input={ "startUrls": [{"url": "https://www.hrs.com/en/hotel/391864"}], "maxReviewsPerHotel": 100, "cutoffDate": "2025-01-01", }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["recordType"], item.get("reviewerName") or item.get("hotelId")) ``` #### JavaScript ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: '' }); const run = await client.actor('parsebird/hrs-hotel-reviews-scraper').call({ startUrls: [{ url: 'https://www.hrs.com/en/hotel/391864' }], maxReviewsPerHotel: 50, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` ### Use cases - Monitor guest sentiment for hotels you manage or compete with, with positive/negative comments already separated - Build a review-aggregation or reputation-tracking dashboard - Feed the full category-level rating breakdown (breakfast, cleanliness, reception, price-performance) into a BI tool - Track new reviews incrementally with **Cutoff date** on a [schedule](https://docs.apify.com/platform/schedules) - Benchmark hotel rating breakdowns across a portfolio of properties, including ones with no written reviews yet ### Is it legal to scrape HRS.com? Yes. HRS Hotel Reviews Scraper only collects publicly available data that anyone can see by visiting hrs.com. Scraping publicly accessible web data is generally legal, as established in cases such as *hiQ Labs v. LinkedIn* — see Apify's [blog post on the legality of web scraping](https://blog.apify.com/is-web-scraping-legal/) for details. Respect HRS's terms of use and avoid republishing scraped data in ways that infringe their rights. This actor is not affiliated with, endorsed by, or sponsored by HRS. ### FAQ **Why doesn't the output include arrival/departure dates, reviewer age group, locale, language, or a recommendation flag?** HRS's public hotel pages don't expose these anywhere — reviewer name, traveler type, date posted, overall rating, and comment text are the full set of per-review detail available outside HRS's own authenticated backend, so this actor only returns fields it can back with real data. **Why is `reviewId` a long hash instead of a normal-looking ID?** HRS's public pages don't expose its internal numeric review ID, so `reviewId` is a stable hash derived from the hotel, reviewer, date, and comment — the same review always gets the same ID across runs, which is what matters for deduplication. **Why did I get a summary record instead of reviews?** Many hotels have plenty of star ratings but no *written* reviews — HRS simply has no review text to show for them. With **Always return summary** on (the default), you still get a hotel-level summary record with the full rating breakdown (cleanliness, breakfast, reception, price-performance, and more) instead of an empty result, even when there's no review text to return. **What timezone does `cutoffDate` use?** It's interpreted as a local date under the Europe/Berlin assumption, matching HRS's own review timestamps. **Can I scrape multiple hotels in one run?** Yes — add as many hotel URLs as you like to **Start URLs**; each is processed independently. **Can I schedule recurring runs?** Yes. Use Apify's [Scheduler](https://docs.apify.com/platform/schedules) with a **Cutoff date** to pick up only new reviews on each run. **Something broken or missing?** Open an issue on the actor's **Issues** tab in Apify Console — reports are reviewed regularly. # Actor input Schema ## `startUrls` (type: `array`): HRS hotel URLs to process, e.g. https://www.hrs.com/en/hotel/391864 ## `maxReviewsPerHotel` (type: `integer`): Maximum number of returned review records per hotel. ## `cutoffDate` (type: `string`): Keep reviews on/after this date (YYYY-MM-DD). Interpreted as a local date, Europe/Berlin assumption. Leave empty to keep all reviews. ## `alwaysReturnSummary` (type: `boolean`): Push a hotel summary record even when no review record is returned for that hotel (e.g. reviews unavailable or all filtered out by the cutoff date). ## Actor input object example ```json { "startUrls": [ { "url": "https://www.hrs.com/en/hotel/391864" } ], "maxReviewsPerHotel": 100, "alwaysReturnSummary": true } ``` # Actor output Schema ## `dataset` (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 }; // Run the Actor and wait for it to finish const run = await client.actor("parsebird/hrs-hotel-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, } # Run the Actor and wait for it to finish run = client.actor("parsebird/hrs-hotel-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 '{ "startUrls": [ { "url": "https://www.hrs.com/en/hotel/391864" } ], "maxReviewsPerHotel": 100 }' | apify call parsebird/hrs-hotel-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,parsebird/hrs-hotel-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 ` 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/P7UYZ02yOv7tZgjZw/builds/aPoAFnI9970ZWwjCy/openapi.json