HRS Hotel Reviews Scraper

HRS Hotel Reviews Scraper

Extract guest reviews and rating summaries from 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 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.

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 for the full schema.

Output example

{
    "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

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
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

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_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
• 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 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 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.