Booking.com Hotel Details Scraper: Rooms & Prices

Booking.com Hotel Details Scraper – rooms, facilities, photos and prices, no personal data, no reviews, no host details

Booking.com hotel details scraper: paste Booking.com hotel URLs and get each hotel's room types, facilities, photos, address, coordinates, review score and stars, with room prices for your dates (the cheapest available room: total, per night, taxes, free cancellation, breakfast), as a clean table or through an API — no login. Use it to enrich a list of hotels, benchmark competitors and track room prices with scheduled runs.

No login, no cookies, no personal data: nothing to sign in to, no cookies to paste, nothing about guests, reviewers or hosts in the output.

• What you get: one flat row per Booking.com hotel URL: description, facilities by group (free, paid, off-site), every room type with its amenities, up to 200 photos, address, coordinates, review score on 10, number of reviews, stars and the cheapest offer for your dates (total, taxes, free cancellation, breakfast). No personal data.
• For whom: revenue managers and hoteliers benchmarking competitors, travel agencies and comparison sites enriching their catalogues, analysts and AI agents through MCP.
• How much: from $2.50 per 1,000 hotels on the Free plan, lower on paid plans; Apify's free monthly credit of $5 covers about 1,999 hotels. A fixed price per hotel saved, and nothing else (see the Pricing tab); maxResults caps every run, unknown pages are not charged.

Sample output: one real Lisbon hotel for a 3-night stay, key columns only (the full row, with facilities, room types and photos, is under Output example):

{
  "platformListingId": "10131840",
  "title": "MASA Hotel & Spa Campo Grande Collection",
  "checkIn": "2026-11-20",
  "currency": "EUR",
  "priceTotal": 289.81,
  "taxesAndFees": 41.39,
  "priceTotalAllIn": 331.2,
  "rating": 8.5,
  "reviewCount": 11778,
  "starRating": 4,
  "cancellationPolicy": "free_cancellation_until:2026-11-15",
  "highlights": [
    "Private bathroom in all rooms",
    "Languages spoken: en, es, pt",
    "Cheapest offer for your dates: Deluxe Double or Twin Room"
  ]
}

Give this Booking.com scraper a list of hotel page URLs and get one flat row per hotel with what the hotel page shows and search results do not: the full description, the complete list of facilities grouped by Booking.com's own groups (Bathroom, Internet, Parking, Room amenities…) with the payment notes Booking.com gives ("free", "paid: 2 EUR per hour", "off-site"), every room type with its amenities, the gallery photos, the short and full address with the district, the coordinates, the review score on 10 and the number of reviews, the official stars, accessibility, spoken languages and Booking.com's own summary of the property. For your dates and guests, the row also carries the cheapest available offer: total price of the stay, price per night, crossed-out price, taxes not included, free cancellation date, breakfast included and the room type it belongs to.

No personal data, by design. Nothing about guests, reviewers or hosts is collected: no names, no profile photos, no ids, no review texts. The output only contains facts about the property, the average review score and the number of reviews. The dataset is safe to store, share and feed to AI agents.

What can you do with Booking.com hotel data?

• Benchmark competing hotels: room types, facilities (parking, pool, spa, airport shuttle, free or paid), stars, review score and the price of the same stay, side by side in a spreadsheet.
• Track the cheapest offer of a list of hotels for a date range: schedule the Actor (dates relative to the run date by default) and compare priceTotalAllIn (taxes included), priceTotal, taxesAndFees and cancellationPolicy from run to run.
• Enrich a search export: run the Booking.com Scraper for a destination, then this Actor on its url column for rooms, facilities and photos; both share the same first columns and join on platformListingId.
• Build catalogues and AI datasets with a stable, documented schema (travel-listing/1.6) shared by the travel studio (Airbnb, Booking.com and more).

What data does Booking.com Hotel Details Scraper extract?

Every row has every column: a value Booking.com does not show is null (or [] / {} for lists and groups), so CSV and Excel exports keep the same columns from run to run. The first columns are those of the search scrapers of the travel studio (travel-listing/1.5, its price-monitoring columns included and always null here), then come the detail columns.

Group	Columns
Identity	schemaVersion, platform, platformListingId, url, title, propertyType, propertyTypeCode, roomType
Location	city, region, country, countryCode, latitude, longitude, isExactLocation, neighborhood, neighborhoodDescription, locationSummary
Stay and offer	checkIn, checkOut, nights, guests, currency, priceTotal, pricePerNight, priceBeforeDiscount, taxesAndFees, taxesIncluded, priceTotalAllIn, cancellationPolicy, isAvailable, badges
Quality	rating, ratingMax, reviewCount, starRating, highlights, listedBy, isNew
Rooms and facilities	sleepingArrangements, amenityGroups, amenities, accessibilityFeatures, safetyFeatures
Description and photos	description, imageUrls, imageCount
Context	viewCountryCode, scrapedAt
Price monitoring (not offered by this Actor, always null)	changeType, previousPrice, priceDelta, priceDeltaPercent
Always empty for this Actor	cleaningFee, serviceFee, bedrooms, beds, bathrooms, maxGuests, isSuperhost, instantBook, isGuestFavorite, unavailableAmenities, houseRules, checkInTime, checkOutTime, petsAllowed, smokingAllowed, eventsAllowed, quietHours, ratingAccuracy, ratingCheckIn, ratingCleanliness, ratingCommunication, ratingLocation, ratingValue, calendarStart, calendarEnd, calendarDays, availableDays, nextAvailableDate, minNights, availability, searchLocation, searchRank, searchPage

How the Booking.com page maps to the columns:

• sleepingArrangements holds one line per room type: the room name, then its amenities ("Deluxe Double or Twin Room — Safety deposit box, Air conditioning, Soundproofing…").
• amenityGroups holds the facilities by group, with "(free)", "(paid)", "(paid: 2 EUR per hour)" or "(off-site)" when Booking.com says so; amenities is the flat list of facility names.
• neighborhood is the short address ("Campo Grande 56, Alvalade, Lisbon"), neighborhoodDescription the full postal address, region the district ("Alvalade") and locationSummary Booking.com's generated summary of the property.
• highlights gathers what the page highlights: summaries of facility groups ("Wifi is available in all areas and is free of charge."), "Private bathroom in all rooms", "Work-friendly property", "Preferred Partner", "In the old town", "Languages spoken: en, es, pt", sustainability certifications and, with an offer, "Cheapest offer for your dates:
• badges carries machine-readable flags: meal_plan_included (breakfast or another meal plan included in the price), third_party_offer, chain:<id>, the deal badges of the offer ("Limited-time Deal") and "Only X left" messages.
• cancellationPolicy is free_cancellation_until:<YYYY-MM-DD> when the cheapest offer can be cancelled for free, null otherwise. isAvailable is true when Booking.com returned an offer for your dates and guests, false when it returned none, null when the offer was not requested or could not be read.

Which price to compare. On Booking.com, priceTotal is the price of the stay before the taxes and charges Booking.com shows as not included, which are in taxesAndFees; taxesIncluded is then false (true when Booking.com shows an excluded amount of 0, null without an offer or when it shows no excluded amount). priceTotalAllIn is the total of the stay with them, priceTotal + taxesAndFees (€289.81 + €41.39 = €331.20 in the sample above), and null when the taxes are unknown, never estimated: it is the column to compare stays across platforms, filled with the same rule by every travel scraper of the studio.

How to scrape Booking.com hotel details

1. Paste hotel URLs copied from your browser (https://www.booking.com/hotel/pt/masa-campo-grande.html, any Booking.com domain, with or without a language suffix or query parameters) or just pt/masa-campo-grande, one per line. Search result URLs are not accepted.
2. Set your stay (optional): check-in and check-out dates, adults, children with their ages, rooms. Without dates, the offer is for a stay starting 30 days from the run date, for 3 nights.
3. Choose the currency and the language, the number of photos per hotel, or untick Include the cheapest offer for descriptions, facilities and photos only.
4. Run and open the Output tab: the Overview, Prices, Rooms and facilities and Photos and descriptions views show the main columns; export everything as JSON, CSV, Excel or through the API.

Input

Give at least one hotel URL in hotelUrls; checkIn and checkOut go together. Field names and defaults are those of the input form.

The input of our validation run: two Lisbon properties and a page that does not exist (it yields no row and is not charged), offer in EUR for a stay starting 30 days after the run, texts in English (every other field keeps its default):

{
  "hotelUrls": [
    "https://www.booking.com/hotel/pt/masa-campo-grande.html",
    "https://www.booking.com/hotel/pt/villa-baixa-lisbon-luxury-apartments.html",
    "https://www.booking.com/hotel/pt/this-hotel-does-not-exist-xyz.html"
  ],
  "adults": 2,
  "includeOffer": true,
  "currency": "EUR",
  "language": "en-us",
  "maxResults": 2
}

Every field, with its type and default:

Field	Type	Default	Description
hotelUrls	string[]	—	Booking.com hotel page URLs (any Booking.com domain) or <country>/<name>, 1 to 1,000. Duplicates are fetched once. Prefilled with three Lisbon hotels.
checkIn	string	—	Check-in date, YYYY-MM-DD. Empty: 30 days after the run date.
checkOut	string	—	Check-out date, YYYY-MM-DD, after check-in. Empty: 3 nights after check-in.
adults	integer	2	Number of adults (the offer depends on it).
children	integer	0	Number of children (0 to 17 years old).
childrenAges	integer[]	[]	Age of each child; a child without an age counts as 8.
rooms	integer	1	Number of rooms (units) to book.
includeOffer	boolean	true	Also price the stay: cheapest available room, total, crossed-out price, taxes not included, free cancellation, breakfast (one extra request per hotel).
maxPhotos	integer	45	Gallery photos kept per hotel, 0 to 200.
currency	string	"EUR"	ISO 4217 code of the offer prices; paid facilities keep the hotel's own currency.
language	string	"en-us"	Booking.com language code of the texts: en-us, en-gb, fr, de, es, it, pt-pt…
maxResults	integer	100	Stop after this many hotels (1 to 1,000). You are never charged for more; a page Booking.com does not know gives no row. Prefilled with 50 in the form: the three prefilled hotel URLs make a quick first run, a pasted list is not cut short.
proxyConfiguration	object	{"useApifyProxy":true}	Apify datacenter proxies by default, included in the price; keep them, or bring your own proxy URLs. A proxy country is recorded in viewCountryCode.
maxRequests	integer	2500	Safety cap on requests in one run (one per hotel page and one per offer, each asked at most once more after an unusable or empty answer): enough for 1,000 hotels with their offer.
delayMs	integer	500	Pause after each hotel, in milliseconds (four hotels are processed at a time).
debugStoreResponses	boolean	false	Debugging only: store every API response in the key-value store.

Output example

One real row, produced by the Actor from a Lisbon hotel on Booking.com (English, EUR, 20–23 November 2026, 2 adults, 1 room). All columns are present, in this order, for every hotel; the response was shortened at capture time to 3 room types, 14 facilities and 4 photos (the full page has 8 room types, 117 facilities and 45 photos):

{
  "schemaVersion": "travel-listing/1.6",
  "platform": "booking",
  "platformListingId": "10131840",
  "url": "https://www.booking.com/hotel/pt/masa-campo-grande.html?checkin=2026-11-20&checkout=2026-11-23&group_adults=2&group_children=0&no_rooms=1&selected_currency=EUR&lang=en-us",
  "title": "MASA Hotel & Spa Campo Grande Collection",
  "propertyType": "Hotel",
  "roomType": "hotel_room",
  "city": "Lisbon",
  "region": "Alvalade",
  "country": "Portugal",
  "countryCode": "PT",
  "latitude": 38.750851,
  "longitude": -9.148746,
  "checkIn": "2026-11-20",
  "checkOut": "2026-11-23",
  "nights": 3,
  "guests": 2,
  "currency": "EUR",
  "pricePerNight": 96.6,
  "priceTotal": 289.81,
  "priceBeforeDiscount": 362.26,
  "cleaningFee": null,
  "serviceFee": null,
  "taxesAndFees": 41.39,
  "taxesIncluded": false,
  "priceTotalAllIn": 331.2,
  "rating": 8.5,
  "ratingMax": 10,
  "reviewCount": 11778,
  "starRating": 4,
  "bedrooms": null,
  "beds": null,
  "bathrooms": null,
  "maxGuests": null,
  "amenities": [
    "Shared lounge/TV area",
    "Designated smoking area",
    "Air conditioning",
    "Smoke-free property",
    "Hypoallergenic room available",
    "Wake-up service",
    "Hardwood or parquet floors",
    "Heating",
    "Soundproofing",
    "Private entrance",
    "Soundproof rooms",
    "Elevator",
    "Facilities for disabled guests",
    "Airport shuttle",
    "Airport pickup",
    "Airport drop-off"
  ],
  "badges": [
    "meal_plan_included"
  ],
  "isSuperhost": null,
  "listedBy": "professional",
  "instantBook": null,
  "isNew": false,
  "isAvailable": true,
  "cancellationPolicy": "free_cancellation_until:2026-11-15",
  "imageUrls": [
    "https://cf.bstatic.com/xdata/images/hotel/max1024x768/535564893.jpg?k=e7a60ec8e804b0be59a40ec440854ad50d0cfa8dc2316bed0e97f443d03c8412&o=",
    "https://cf.bstatic.com/xdata/images/hotel/max1024x768/574394653.jpg?k=5d4fb4ae323cc249f2155cfde8bbdd3f230327c0ae92611f75332d5953ee18cb&o=",
    "https://cf.bstatic.com/xdata/images/hotel/max1024x768/547341750.jpg?k=63afa1207fa4126eccc1951aaecf8147775c0b2a4dde0156c5fa821066da340c&o=",
    "https://cf.bstatic.com/xdata/images/hotel/max1024x768/474094642.jpg?k=14ad041be0bdca251e6575751fe9a2afb008edc2433cdc08cf351cda83a52a55&o="
  ],
  "imageCount": 4,
  "searchLocation": null,
  "searchRank": null,
  "searchPage": null,
  "viewCountryCode": null,
  "scrapedAt": "2026-10-20T10:00:00.000Z",
  "changeType": null,
  "previousPrice": null,
  "priceDelta": null,
  "priceDeltaPercent": null,
  "description": "MASA Hotel & Spa Campo Grande Collection has a fitness center, shared lounge, a restaurant and bar in Lisbon. This 4-star hotel offers a business center and a concierge service. The property has a 24-hour front desk, airport transportation, room service and free WiFi throughout the property.\n\nThe hotel will provide guests with air-conditioned rooms with a desk, a coffee machine, a fridge, a minibar, a safety deposit box, a flat-screen TV and a private bathroom with a shower. MASA Hotel & Spa Campo Grande Collection provides some rooms with city views, and all rooms include an electric tea pot. All rooms feature a closet.\n\nA buffet, continental or halal breakfast is served at the property.\n\nLuz Football Stadium is 2.6 miles from the accommodation, while Dona Maria II National Theater is 3.1 miles from the property. Humberto Delgado Airport is 2.5 miles away.",
  "highlights": [
    "Private bathroom in all rooms",
    "Languages spoken: en, es, pt",
    "Cheapest offer for your dates: Deluxe Double or Twin Room"
  ],
  "propertyTypeCode": "HOTEL",
  "isGuestFavorite": null,
  "amenityGroups": {
    "Other": [
      "Shared lounge/TV area",
      "Designated smoking area",
      "Air conditioning (free)",
      "Smoke-free property",
      "Hypoallergenic room available",
      "Wake-up service",
      "Hardwood or parquet floors",
      "Heating",
      "Soundproofing",
      "Private entrance",
      "Soundproof rooms",
      "Elevator",
      "Facilities for disabled guests",
      "Airport shuttle (paid)",
      "Airport pickup (paid)",
      "Airport drop-off (paid)"
    ]
  },
  "unavailableAmenities": [],
  "houseRules": [],
  "checkInTime": null,
  "checkOutTime": null,
  "petsAllowed": null,
  "smokingAllowed": null,
  "eventsAllowed": null,
  "quietHours": null,
  "safetyFeatures": [],
  "sleepingArrangements": [
    "Standard Double or Twin Room — Safety deposit box, Air conditioning, Private entrance, Soundproofing, Hardwood or parquet floors, Wake-up service/Alarm clock",
    "Deluxe Double or Twin Room — Safety deposit box, Air conditioning, Private entrance, Soundproofing, Hardwood or parquet floors, Wake-up service/Alarm clock",
    "Superior Double or Twin Room — Safety deposit box, Air conditioning, Private entrance, Soundproofing, Hardwood or parquet floors, Wake-up service/Alarm clock"
  ],
  "accessibilityFeatures": [
    "Wheelchair accessible",
    "Accessible facilities"
  ],
  "ratingAccuracy": null,
  "ratingCheckIn": null,
  "ratingCleanliness": null,
  "ratingCommunication": null,
  "ratingLocation": null,
  "ratingValue": null,
  "neighborhood": "Campo Grande 56, Alvalade, Lisbon",
  "locationSummary": "The 4-star hotel features a child-friendly buffet, baby cot availability, and a family-oriented restaurant. Families appreciate the breakfast, property staff, and spacious rooms. Luz Football Stadium is 2.6 mi away.",
  "neighborhoodDescription": "Campo Grande 56, Alvalade, 1700-093 Lisbon, Portugal",
  "isExactLocation": true,
  "calendarStart": null,
  "calendarEnd": null,
  "calendarDays": null,
  "availableDays": null,
  "nextAvailableDate": null,
  "minNights": null,
  "availability": null
}

Here every facility of the shortened capture belongs to a group that the capture does not describe, hence the single "Other" group; on a full page the facilities are spread over Booking.com's groups ("Bathroom", "Internet", "Parking", "Room amenities"…). With language set to another language, the name, description, room types, facilities and deal badges come in that language; propertyType and the flags stay in English.

The Output tab offers four views of the same rows: Overview (type, stars, district, score, reviews, price, availability, link, photos), Prices (stay, total, per night, before discount, taxes, free cancellation, badges), Rooms and facilities (room types, facilities by group, accessibility, safety, highlights) and Photos and descriptions (description, summary, address, coordinates, photos).

How much does it cost to scrape Booking.com hotel details?

This Actor uses pay-per-event pricing: you pay a fixed price per hotel saved to your dataset, and nothing else. On the Free plan, hotels cost $2.50 per 1,000, so Apify's free monthly credit of $5 covers about 1,999 hotels; paid plans pay less per hotel, and the price of every plan tier is on the Pricing tab of this page.

What you pay for	How it is counted	Price
result event: one hotel saved to your dataset	once per unique hotel of the run, capped by maxResults, offer included	Pricing tab, per plan tier
Unknown or removed hotel pages	no row, not charged	—
Run start	a symbolic amount, once per run	Pricing tab
Compute, proxies, storage and data transfer	included: no platform usage is passed on to you	—

The cost of a run is known before you start: 1,000 hotels cost 1,000 times the result price of your tier, with or without the offer, whatever the number of requests. Four hotels are processed at a time, about two to four seconds each with the offer.

What is not included

Booking.com shows more on its hotel pages than this Actor can read from its data source today. These are not included in this version and the matching columns stay empty:

• The per-room rate table (every room with every rate and condition for your dates): the row carries the cheapest available offer only, with the room type it belongs to in highlights.
• House rules and check-in / check-out times (houseRules, checkInTime, checkOutTime, petsAllowed, smokingAllowed): the facility groups that describe them, when present, appear in highlights and amenityGroups.
• Category scores (staff, cleanliness, location, value…): the overall review score on 10 and the number of reviews are included.
• The availability calendar (calendar*, availability): isAvailable answers for your dates.
• Reviews and anything about hosts or guests: never collected, by design.

They are on the roadmap; open an issue if one of them matters to you.

Limits and behaviour worth knowing

• One hotel per URL, unknown pages skipped. A URL whose hotel does not exist on Booking.com (or was removed) yields no row, is not charged and is named in the run log. A run whose hotels all fail ends as failed with an explicit message, so that your schedules and integrations notice (no empty successes).
• The offer is the cheapest available room for your occupancy. It is the price Booking.com shows first for your dates and guests, for the whole stay; taxesAndFees holds the taxes and charges Booking.com announces as not included, and priceTotalAllIn the total with them. When Booking.com has nothing to offer for your dates and guests, isAvailable is false and the price columns are null. Booking.com sometimes answers the first price request for a hotel with an empty offer: the scraper asks once more before concluding.
• Prices depend on the stay and the currency. currency converts the offer; paid facilities ("paid: 2 EUR per hour") keep the hotel's own currency. Prices may also depend on the country the request comes from: select a proxy country to control it (recorded in viewCountryCode).
• Texts are Booking.com's, localized. Name, description, room types, facilities and summaries come in the requested language; propertyType, propertyTypeCode, roomType and the badges are language independent.
• Photos. imageUrls lists the gallery photos in 1024 × 768 size, at most maxPhotos; room photos are not in a column yet.
• Reliability. If a response is unusable, the scraper opens a new session and retries once, then gives up on that hotel and reports it in the log. If Booking.com changes its data format, the run fails with an explicit message instead of returning half-empty rows; the fix is shipped as a new build (see the Changelog).

Integrations and API

Start the Actor from Apify Console, schedule it, or call it from the Apify API with any language (the API tab shows ready-made code for Node.js, Python and curl). Webhooks notify your systems when a run finishes; the dataset can be pulled as JSON, CSV, Excel, XML or RSS, or pushed to Google Sheets, Make, Zapier, n8n, Slack, Airtable, Google Drive and more through the Apify integrations.

Use it from your AI assistant

Add this Actor as a tool to Claude, ChatGPT, Cursor, VS Code or any MCP client with the Apify MCP server URL below (sign in with your Apify account when asked):

https://mcp.apify.com?tools=myth84/booking-hotel-details-scraper

Then ask in plain words. Copy this prompt and change the details:

Use myth84/booking-hotel-details-scraper to get the room types, facilities and cheapest price of this Booking.com hotel for 2 adults, 3 nights starting 30 days from today, in EUR: https://www.booking.com/hotel/pt/masa-campo-grande.html. Input: {"hotelUrls": ["https://www.booking.com/hotel/pt/masa-campo-grande.html"], "adults": 2, "currency": "EUR", "maxPhotos": 5}. Show the room types, the main facilities, the total price, the taxes not included and whether it can be cancelled for free.

For AI agents (MCP)

Through the Apify MCP server this Actor is a tool that answers questions such as "which room types does this Booking.com hotel have, and what do they include?", "does it have free parking, a pool or an airport shuttle?" or "what is the cheapest price for two adults from 20 to 23 November, and can it be cancelled for free?".

Minimal input (every other field keeps its default; give dates when the question is about a price):

{
  "hotelUrls": [
    "https://www.booking.com/hotel/pt/masa-campo-grande.html"
  ],
  "checkIn": "2026-11-20",
  "checkOut": "2026-11-23",
  "maxPhotos": 5
}

• Key output fields: platformListingId, title, url, propertyType, starRating, rating (on 10), reviewCount, sleepingArrangements (room types), amenityGroups, priceTotal, pricePerNight, taxesAndFees, currency, cancellationPolicy, isAvailable, badges, neighborhoodDescription (address). Every column is always present, in a fixed order; null means Booking.com did not show the value. The full list is in What data does Booking.com Hotel Details Scraper extract? above.
• Use it when you already have Booking.com hotel URLs and need what the hotel page shows: rooms, facilities, photos, address, score, stars, and the cheapest offer for given dates. Pass hotelUrls (a few URLs), optionally checkIn / checkOut, adults and currency.
• Do not use it for searches by destination (use the Booking.com Scraper), the full rate table of every room, reviews, host or guest information, booking or anything behind a login: it does not collect personal data and only reads public hotel pages.
• Cost per 1,000 results: 1,000 result events, $2.50 per 1,000 on the Free plan and less on paid plans (Pricing tab); nothing else is charged, the offer is included.
• Typical time: two to four seconds per hotel with the offer, four hotels at a time: 10 hotels in about 15 seconds.

Alternatives and switching

• Official API. Booking.com's APIs are made for its accommodation and affiliate partners and need an approved partner account; if you have one and need bookings or contracted rates, use it. This Actor reads what any visitor sees on Booking.com hotel pages (rooms, facilities, photos, review score, public prices for your dates) with no account, no keys and no approval.
• Your own scraper. Nothing to build or maintain: sessions, retries, the second price request and Booking.com page changes are handled for you. The columns stay the same from run to run, a run whose hotels all fail ends with an explicit message instead of succeeding empty, and a scheduled test run catches Booking.com changes early.
• Another scraper from the Store. What you can count on here: maxResults is a hard cap, the run stops at that number of hotels and you are never charged for more, and unknown hotel pages are not charged; priceTotalAllIn gives the price of the stay taxes included, to compare with the other platforms. The input names differ from one Actor to the next; the usual ones map to this Actor as follows:

Usual input	Here	Note
startUrls, urls, hotelUrl	hotelUrls	Booking.com hotel page URLs, or <country>/<name>
maxItems, limit	maxResults	Hotels per run, never charged beyond
checkin, checkout	checkIn, checkOut	YYYY-MM-DD; left empty: 3 nights starting 30 days after the run
adults, children, rooms	adults, children + childrenAges, rooms	The offer depends on them
scrapePrices, includePrices	includeOffer	Cheapest available room for your dates
maxImages	maxPhotos	0 to 200 gallery photos per hotel
currency, language	currency, language	ISO 4217 code, Booking.com language code
proxy	proxyConfiguration	Apify proxies, included in the price

FAQ

Does Booking.com Hotel Details Scraper collect personal data?

No. The scraper reads public hotel information and keeps nothing about guests, reviewers or hosts: no names, photos, profile ids, contact details or review texts. It outputs facts about the property, the average review score and the number of reviews. Every row goes through a privacy filter before it is saved, which also removes e-mail addresses from descriptions.

Is it legal to scrape Booking.com?

The Actor only reads information that Booking.com shows to any visitor without an account, and it stores no personal data. Scraping public data is generally lawful, but you are responsible for how you use the results and for complying with Booking.com's terms of service and the laws that apply to you (including copyright on descriptions and photos). Use the data for analysis, not to republish hotel pages.

Which price is in the row?

The cheapest available offer for your dates, guests and rooms, for the whole stay, as Booking.com shows it first: priceTotal, the average pricePerNight, the crossed-out priceBeforeDiscount when there is a discount, and taxesAndFees not included in the total; priceTotalAllIn is the total with them, the one to compare with other platforms. cancellationPolicy gives the free cancellation date, badges says when breakfast is included, and highlights names the room type of the offer. The full rate table of every room is not included in this version.

Why is isAvailable false or the price empty?

false means Booking.com had no offer for your dates and occupancy (sold out, minimum stay, or too many guests for one room: add rooms). null means the offer was not requested (includeOffer off) or could not be read; the run log says which. Every other column is filled either way.

What if my runs get blocked? Do I need proxies?

Apify datacenter proxies (the default) work for Booking.com hotel pages and are included in the price. If a run reports blocked requests, increase delayMs and try again later, or bring your own proxy URLs; persistent blocking is fixed as a priority, open an issue with your run id.

Which languages and currencies are supported?

Any Booking.com language code (en-us, en-gb, fr, de, es, it, pt-pt, nl…) and any currency Booking.com offers (EUR, USD, GBP, CHF…). Texts come in the requested language; offer prices are converted into the requested currency.

Where do the hotel URLs come from?

From your browser, from the url column of the Booking.com Scraper (search by destination), or from any list of Booking.com hotel pages. Any URL of the form https://www.booking.<tld>/hotel/<country>/<name>.html works, with a language suffix (.en-gb.html) and query parameters; <country>/<name> works too.

How fresh is the data and how often should I run it?

Every run reads the live data. Descriptions, rooms and facilities change rarely; prices and availability change daily: schedule the Actor as often as your use case needs (without dates, every run prices a stay 30 days ahead) and compare runs by platformListingId.

How do I export or integrate the results?

From the run's Output tab (JSON, CSV, Excel, XML, RSS) or automatically: Apify API, webhooks, scheduled runs and integrations with Google Sheets, Make, Zapier, n8n, Slack and others. AI agents can call the Actor through the Apify MCP server.

Where do I get support?

Open an issue in the Issues tab of this Actor with your run id and input. Bugs and data-format changes are fixed as a priority; feature requests (rate table, house rules, category scores, other platforms of the travel studio) are welcome.

More scrapers by Flatrow Data Studio

The travel scrapers of the studio share the same core columns: find hotels with a search, enrich them here, and compare stays from several platforms in one table on priceTotalAllIn, the total of the stay with taxes and fees, filled with the same rule by each scraper (null when a platform does not show the taxes):

• Booking.com Hotels Scraper & Price Tracker: Booking.com hotel prices for your dates with the excluded taxes, review scores and stars, search URLs and price monitoring — the hotel URLs to feed this Actor.
• Expedia Hotels Scraper: Prices & Ratings: Expedia hotel prices per night and for the whole stay, guest ratings and review counts, to compare with the other platforms.
• Airbnb Listings Scraper & Price Tracker: Airbnb prices, ratings, review counts and locations for any place and dates, up to 50 destinations per run, with price monitoring.
• Airbnb Listing Details & Availability Calendar: amenities, house rules, six category ratings and a 1–12 month availability calendar for the Airbnb listing URLs you give.

Did this scraper give you the data you needed? A rating on its Store page helps other people find it. For a bug or a missing field, open an issue in the Issues tab.

Legal note

This Actor reads publicly available Booking.com hotel information without logging in and collects no personal data. You are responsible for your use of the data and for complying with Booking.com's terms and the laws that apply to you.

Not affiliated with, endorsed or sponsored by Booking.com. Booking.com is a trademark of Booking.com B.V.