HRS Hotel Extractor: Scrape HRS Hotel Listings, Prices, and Ratings

HRS hotel scraper that extracts hotel listings, live nightly rates, star ratings, and guest scores from HRS for any city you search. Give it a destination and a date range and it returns a structured dataset: names, addresses, coordinates, prices, amenities, and direct hotel links. City names are resolved for you, so Berlin works the same as a numeric HRS location ID.

The actor runs a real Chromium session, scrolls the page the way a visitor would, then reads the same hotel data the HRS results page renders. You get the full result set rather than whatever happened to be on screen.

Use cases

• Hotel price monitoring: track nightly rates across a city on a schedule and catch competitor price moves early
• SEO content generation: build hotel landing pages and city guides from real listing data, star ratings and amenities included
• Revenue management research: compare your property against every bookable hotel in the market for the same dates
• Travel affiliate sites: populate a hotel directory with names, photos, coordinates, and links, no manual entry
• Market analysis: measure hotel supply, chain penetration, and star distribution across dozens of cities in one run
• Sustainability reporting: pull green certification classes and per-night carbon estimates for corporate travel policies

Input

Parameter	Type	Default	Description
destinations	array	(required)	City names or numeric HRS location IDs, one per line. Names are resolved automatically.
checkInDate	string	tomorrow	Arrival date as YYYY-MM-DD. Left empty, it points at tomorrow so scheduled runs stay valid.
nights	integer	1	Length of stay used to price every hotel.
checkOutDate	string	derived	Departure date as YYYY-MM-DD. Overrides nights when set.
roomType	string	SINGLEROOM	SINGLEROOM, DOUBLEROOM, THREEBEDROOM, or FOURBEDROOM.
adultsPerRoom	integer	1	Adults sharing each room.
roomCount	integer	1	Number of rooms requested.
language	string	en	Output language for names and amenity labels.
includeUnavailable	boolean	false	Keep hotels with no bookable rate for wider market coverage.
maxItems	integer	100	Cap on hotels saved across all destinations.
timeoutSecs	integer	300	Total run budget in seconds.
requestTimeoutSecs	integer	60	Per-search timeout in seconds.
proxyConfiguration	object	Datacenter (Anywhere)	Proxy type and location for requests. Supports Datacenter, Residential, Special, and custom proxies. Optional.

Example input

{
    "destinations": ["Berlin", "Munich", "Paris"],
    "checkInDate": "2026-09-10",
    "nights": 2,
    "roomType": "DOUBLEROOM",
    "adultsPerRoom": 2,
    "roomCount": 1,
    "language": "en",
    "maxItems": 300,
    "proxyConfiguration": { "useApifyProxy": true }
}

What data does this actor extract?

Results land in a dataset, one row per hotel. Here is a real record, trimmed for length:

{
    "hotelId": 875998,
    "hotelName": "Capri by Fraser Berlin",
    "hotelUrl": "https://www.hrs.com/en/hotel/875998",
    "stars": 4,
    "ratingScore": 9.1,
    "reviewCount": 15,
    "recommendationRate": 80,
    "street": "Scharrenstraße 22",
    "zipCode": "10178",
    "city": "Berlin",
    "district": "Berlin",
    "countryCode": "DEU",
    "latitude": 52.513894,
    "longitude": 13.405057,
    "distanceToCityCenterKm": 2.0,
    "cityCenterName": "Alexanderplatz",
    "distanceToRailwayKm": 5.0,
    "distanceToAirportKm": 12.0,
    "chainName": "Frasers Hospitality",
    "roomTypeOffered": "DOUBLEROOM",
    "totalPrice": 545.0,
    "totalPriceNet": 502.0,
    "pricePerNight": 272.5,
    "currency": "EUR",
    "breakfastIncluded": true,
    "breakfastPrice": 19.5,
    "availableRooms": 16,
    "amenities": ["CITY", "BUSINESS", "PARKING", "AIRCONDITION", "RESTAURANT"],
    "parkingAvailable": true,
    "wifiInRoom": true,
    "nonSmokingHotel": true,
    "constructionYear": 2017,
    "greenStayCertified": true,
    "greenEfficiencyClass": "A",
    "carbonPerNightKg": 8.85,
    "checkInDate": "2026-09-10",
    "checkOutDate": "2026-09-12",
    "nights": 2,
    "scrapedAt": "2026-08-08T12:04:11.905+00:00"
}

Field	Type	Description
hotelId	integer	Stable HRS identifier, useful as a join key across runs
hotelName	string	Hotel name in the selected language
hotelUrl	string	Direct link to the hotel page
stars	integer	HRS star classification, 1 to 5
ratingScore	number	Average guest rating out of 10
reviewCount	integer	Number of guest reviews behind the average
recommendationRate	number	Share of reviewers who recommend the hotel
street, zipCode, city, district	string	Postal address parts
countryCode, countryAlpha2	string	ISO country codes
latitude, longitude	number	Coordinates in decimal degrees
locationId, locationName	integer, string	HRS location the hotel sits in
distanceToCityCenterKm	number	Distance to the city centre
cityCenterName	string	Reference point used as the centre
distanceToRailwayKm	number	Distance to the nearest station
distanceToAirportKm	number	Distance to the nearest airport
chainName, brandName	string	Chain and brand, empty for independents
hotelStatus	string	Operating status reported by HRS
roomTypeOffered	string	Room category the rate applies to
totalPrice, totalPriceNet	number	Gross and net total for the whole stay
pricePerNight	number	Gross rate per night and room
wasPricePerNight	number	Previous rate, handy for spotting discounts
priceWithBreakfast	number	Stay total with breakfast included
currency	string	Currency for every price in the record
breakfastIncluded	boolean	Whether breakfast is in the quoted rate
breakfastPrice	number	Breakfast cost when charged separately
availableRooms	integer	Rooms still bookable at that rate
amenities, hotelTypes	array	Amenity and property classification codes
paymentTypes	array	Accepted payment methods
receptionServices	array	Reception hours and language coverage
parkingAvailable, freeParking, evChargingAvailable	boolean	Parking and charging facts
wifiInRoom, freeWifi	boolean	In-room internet availability and cost
nonSmokingHotel	boolean	Whether the whole property is non-smoking
restaurantCount, conferenceRoomCount	integer	On-site restaurants and meeting rooms
singleRoomCount, doubleRoomCount	integer	Room inventory by type
constructionYear	integer	Year built or last rebuilt
greenStayCertified, greenEfficiencyClass	boolean, string	Sustainability certification and class
carbonPerNightKg	number	Estimated carbon per occupied room night
thumbnailUrl	string	Hotel photo hosted by HRS
checkInDate, checkOutDate, nights	string, integer	Stay the rate was priced for
searchDestination	string	Your input value that produced the row
searchResultsUrl	string	HRS results page for the same search
scrapedAt	string	UTC extraction timestamp, ISO 8601

How it works

1. Opens a Chromium session on the HRS site and declines non-essential cookies.
2. Auto-scrolls the page until deferred content has loaded, the same way a visitor moves through it.
3. Resolves each destination you entered into an HRS location and picks the closest match by relevance score.
4. Runs the hotel search for your dates, room type, and occupancy from inside that browser session.
5. Flattens every hotel into one row and writes it to the dataset. If a destination fails, it is logged and the run carries on.

Tips for better results

• Add a region when a city name is ambiguous. Paris and Paris Texas resolve to different places.
• Large cities return several hundred hotels for one date range. Raise maxItems before sweeping capitals.
• Turn on includeUnavailable when you want full market coverage rather than only bookable inventory. Price fields stay empty for sold-out hotels.
• Three-bed and four-bed rooms are rare across the inventory. Single and double rooms return far more hotels.
• Schedule daily runs on the same dates to build a rate history you can chart.

FAQ

How do I find the HRS location ID for a city? You do not need one. Type the city name and the actor resolves it, then logs the location it matched so you can confirm the choice.

How many hotels can one run return? A single city search commonly returns 250 to 500 bookable hotels. The maxItems cap defaults to 100 and goes up to 1000 per run across every destination you list.

Can I get prices in a specific currency? Prices come back in the currency the hotel quotes, given in the currency field on every row. Convert afterwards if you need one reporting currency.

Does it work outside Germany? Yes. Coverage spans HRS inventory worldwide, including Paris, London, and New York.

Why are some fields empty for a hotel? Smaller and independent properties often have no reviews, no chain, and no sustainability audit on file. Those fields come back empty rather than guessed.

Do I need a proxy? Not for typical use. Add a proxy if you run large sweeps or hit rate limits, and switch to Residential if datacenter IPs get blocked.

Integrations

Connect HRS Hotel Extractor with other apps and services using Apify integrations. You can integrate with Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, and many more. You can also use webhooks to trigger actions whenever results are available.

Point the HRS hotel scraper at a city, pick your dates, and you have a hotel dataset with live prices and ratings you can query or publish the same day.