HRS Hotel & Reviews Scraper — Hotels, Ratings & Guest Reviews

Collect hotels and guest reviews from HRS.com as clean, structured data. For every hotel you get name, star rating, address, coordinates, amenities and the guest rating — plus detailed guest reviews with reviewer type, date, positive/negative comments, the hotel's response and per‑category scores (cleanliness, price/performance, breakfast, beds, service and more).

Built for travel and hospitality analysts, hotel revenue managers, market researchers, review‑intelligence and data teams who need European hotel and review data without copying pages by hand.

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✨ Why use this scraper

• Hotels + reviews together — each record is a full hotel profile with its embedded guest reviews.
• Rich per‑category ratings — every review breaks the score down into cleanliness, price/performance, ambiance, friendliness, breakfast, bed quality, room size, sanitary facilities and service.
• Hotel intelligence — star rating, guest score, total review count, amenities, coordinates and address for benchmarking and mapping.
• Reviewer context — reviewer name, traveller type (business/leisure), date, language and whether they recommend the hotel — plus the hotel's official response.
• Bulk or targeted — scrape specific hotels by URL/ID, or auto‑discover hotels across HRS.
• 7 languages — pull hotel pages and review text in English, German, Spanish, French, Italian, Dutch or Polish.
• Clean, typed output — numbers as numbers, reviews as arrays — ready for spreadsheets, databases and BI tools.
• Export anywhere — JSON, CSV, Excel, HTML or via the Apify API and integrations.

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🚀 Quick start

1. Paste one or more hotel URLs or IDs (e.g. https://www.hrs.com/en/hotel/393 or 393) — or leave empty to auto‑discover hotels.
2. Keep Include guest reviews on.
3. Set Maximum hotels and click Start.

Each hotel comes back as one clean record with its reviews.

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📥 Input

Field	Type	Description
Hotel URLs or IDs (hotelUrls)	array	HRS hotel URLs or numeric IDs. Empty = auto‑discover from the sitemap.
Include guest reviews (includeReviews)	boolean	Add the detailed reviews embedded on each hotel page.
Max reviews per hotel (maxReviewsPerHotel)	integer	Cap reviews per hotel. Empty = all embedded.
Language (language)	select	en, de, es, fr, it, nl, pl.
Maximum hotels (maxItems)	integer	Cap hotels (also caps discovery).
Concurrency (maxConcurrency)	integer	Hotel pages fetched in parallel.
Proxy configuration (proxyConfiguration)	object	Apify Proxy recommended (datacenter is enough).

Example 1 — specific hotels

{
  "hotelUrls": ["393", "14311", "https://www.hrs.com/en/hotel/10520"],
  "includeReviews": true
}

Example 2 — auto‑discover hotels

{
  "maxItems": 500,
  "includeReviews": true
}

Example 3 — German pages, hotels only

{
  "hotelUrls": ["393"],
  "language": "de",
  "includeReviews": false
}

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📤 Output

Each hotel is one dataset item. Example (trimmed):

{
  "hotelId": 393,
  "name": "Hotel Vignette Collection BRISTOL BERLIN by IHG",
  "stars": 5,
  "url": "https://www.hrs.com/en/hotel/393",
  "language": "en",
  "street": "Kurfürstendamm 27",
  "city": "Berlin",
  "postalCode": "10719",
  "country": "DEU",
  "latitude": 52.50,
  "longitude": 13.33,
  "rating": 8.5,
  "reviewCount": 195,
  "bestRating": 10,
  "worstRating": 1,
  "amenities": ["AIRCONDITIONROOM", "NOSMOKING", "ROOMSAFE", "SPA", "HOTELBAR"],
  "images": ["https://foto.hrsstatic.com/..."],
  "reviewsExtracted": 11,
  "reviews": [
    {
      "reviewerName": "Alexander B.",
      "travellerType": "BUSINESS",
      "date": "2025-11-02T20:43:45.621Z",
      "locale": "en",
      "overallRating": 5.7,
      "positiveComment": "…",
      "negativeComment": "…",
      "hotelResponse": "Thank you for your feedback …",
      "recommends": false,
      "categoryRatings": {
        "hotelTidiness": 10,
        "pricePerformanceRatio": 8,
        "hotelAmbiance": 3,
        "friendlinessOfReception": 5,
        "breakfastService": 9,
        "qualityOfBeds": 6,
        "roomConfiguration": 5,
        "roomSize": 5,
        "sanitaryFacilities": 8,
        "serviceOfHotelEmployees": 5
      }
    }
  ],
  "scrapedAt": "2026-08-28T10:00:00.000Z"
}

Field reference

Hotel

Field	Description
hotelId	HRS hotel ID.
name, stars	Hotel name and HRS star rating.
url, language	Hotel page URL and language.
street, city, postalCode, region, country	Address.
latitude, longitude	Coordinates.
rating, reviewCount	Guest rating (out of 10) and number of reviews.
bestRating, worstRating	Rating scale.
amenities	Amenity codes (WiFi, parking, spa, air‑con …).
images	Hotel photo URLs.

Review (inside reviews[])

Field	Description
reviewerName	Reviewer name (often first name + initial or "Anonymous").
travellerType	BUSINESS, LEISURE, etc.
date, locale	Review date and language.
overallRating	Overall score for the stay.
positiveComment, negativeComment	What the guest liked / disliked.
hotelResponse	The hotel's official reply.
recommends	Whether the guest recommends the hotel.
categoryRatings	Per‑category scores (cleanliness, price/performance, breakfast, beds, service …).

Note on reviews: HRS shows the most relevant reviews with text on each hotel page (typically up to ~10–20). Many HRS ratings are scores without text; those are reflected in rating and reviewCount.

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💡 Use cases

• Hotel revenue & market managers — benchmark your property's rating and per‑category scores against competitors in the same city.
• Review intelligence — analyse what guests praise and complain about, by category and traveller type.
• Travel & hospitality research — build datasets of European hotels with ratings, amenities and locations.
• Reputation monitoring — track a hotel group's ratings and responses over time.
• Data & ML teams — collect structured hotel + review data for models and dashboards.

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🎯 Tips for best results

• Target review‑rich hotels — larger city hotels have more text reviews per page; small properties may have only ratings.
• Pick a language — review text and hotel info come back in the language you choose.
• Turn reviews off for speed — set Include guest reviews off when you only need hotel profiles and ratings.
• Filter after export — pull broadly, then slice by stars, rating, city or categoryRatings in your spreadsheet or database.

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🔌 Run it your way

• Apify Console — paste hotels and click Start.
• API — start runs and pull the dataset programmatically.
• Scheduler — refresh hotel ratings and reviews on a schedule.
• Integrations — push results to Google Sheets, Zapier, Make, webhooks, S3 and more.

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❓ FAQ

What data do I get per hotel? Hotel profile (name, stars, address, coordinates, amenities, images), the guest rating and review count, and the detailed guest reviews embedded on the page with per‑category scores.

Do I need an account or API key? No. Just paste hotel URLs/IDs or let it auto‑discover.

How many reviews per hotel? The reviews shown on each hotel page — typically up to ~10–20 with text. HRS ratings without text are summarised in rating and reviewCount.

Can I scrape many hotels at once? Yes — leave the hotel list empty to auto‑discover hotels, capped by Maximum hotels.

Which languages are supported? English, German, Spanish, French, Italian, Dutch and Polish.

In what format is the data? Structured JSON by default, exportable to CSV, Excel, HTML and more.

Can I run it on a schedule? Yes — use the Apify Scheduler, or start runs through the Apify API and its integrations.

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⚖️ Legal & responsible use

This tool collects publicly available hotel and review information for legitimate business use such as market research, benchmarking and reputation analysis. You are responsible for how you use the data and for complying with all applicable laws and regulations, the website's terms, and data‑protection rules (including GDPR where relevant). Do not use the output to infringe intellectual‑property rights, to publish personal data unlawfully, or for any unlawful purpose. This scraper is not affiliated with, endorsed by, or connected to HRS; all trademarks belong to their respective owners.

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Tags

hrs · hrs scraper · hotel scraper · hotel reviews · guest reviews · hotel ratings · travel data · hospitality · europe hotels · review scraper · hotel data · booking · market research · reputation · hotel intelligence