Booking.com Hotels, Prices & Reviews Scraper

Scrape Booking.com hotels and accommodation prices at scale, with no API key and no login. Give this Booking.com scraper a destination, dates and party size, and it returns one clean record per property: live room rates, review scores, star rating, full address with coordinates, guest reviews, facilities and photos. A drop-in Booking.com API / hotel rates data feed for price monitoring, market research, travel apps and revenue management.

Here is one real result, showing the fields the actor returns per property:

{
  "name": "INT Lisbon Suites",
  "type": "Hotel",
  "url": "https://www.booking.com/hotel/pt/intendente-1865.html",
  "id": 2046765,
  "price": 249.74,
  "currency": "USD",
  "priceFormatted": "US$249.74",
  "pricePerNight": 124.87,
  "priceHotelCurrency": 215,
  "hotelCurrency": "EUR",
  "originalPrice": 480.9,
  "discountPercent": 48,
  "priceIncludesTaxes": true,
  "taxesAndFeesInfo": "Includes taxes and fees",
  "reviewScore": 7.8,
  "reviewScoreWord": "Good",
  "reviewsCount": 2644,
  "reviewCategoryStaff": 8.2,
  "reviewCategoryCleanliness": 8.3,
  "reviewCategoryComfort": 8.2,
  "reviewCategoryLocation": 8.0,
  "reviewCategoryValue": 8.0,
  "reviewCategoryWifi": 8.8,
  "starRating": 3,
  "address": "Travessa do Maldonado 16",
  "streetAddress": "Travessa do Maldonado 16, Arroios, 1100-330 Lisbon, Portugal",
  "city": "Lisboa",
  "postalCode": "1100-330",
  "countryCode": "PT",
  "country": "Portugal",
  "displayLocation": "Arroios, Lisbon",
  "distanceFromCenter": "1 km from downtown",
  "publicTransport": "Intendente station is within 200 meters",
  "latitude": 38.7212966,
  "longitude": -9.1337840,
  "checkInFrom": "3:00 PM",
  "checkOutUntil": "10:00 AM",
  "freeCancellation": false,
  "breakfastIncluded": false,
  "beds": 2,
  "roomName": "Double or Twin Room with Private Bathroom",
  "roomTypes": ["Deluxe Twin Room", "Double or Twin Room with Private Bathroom"],
  "popularFacilities": ["Free Wifi", "Family rooms", "Non-smoking rooms", "Heating"],
  "reviewsScraped": 5,
  "observedAt": "2026-09-05T01:10:22.067Z"
}

The most complete Booking.com scraper on Apify. It returns every field the property exposes: the total stay price and price per night in both your currency and the property's local currency, original and discounted price, tax-included flag, review score, count and per-category sub-scores, star rating, full address with coordinates and distance from center, room options, facilities, photos, guest reviews, and optional AI summary and amenity extraction.

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Table of contents

• What it does
• Use cases
• Quickstart
• Input reference
• Output reference
• How it compares
• Run via API and CLI
• Fetch results
• Billing and limits
• FAQ and troubleshooting

What it does

This Booking.com hotels scraper searches Booking.com by destination and stay parameters and writes one normalized record per property. Give it a city, region, country, or property name, optional check-in and check-out dates, party size, rooms, and currency. It cycles the result orders to gather far more than a single page and returns the property name and type, image, direct URL, prices, review score and count, star rating, and full location.

Prices are returned in both your selected currency and the property's local currency, with the total stay price, price per night, original price, discount percent, and whether taxes are included. When dates are not set, Booking uses a default upcoming stay. With property details enabled (the default), each property is enriched from its own page with a full description, street address, postal code and region, review category sub-scores (staff, cleanliness, comfort, location, value, WiFi), check-in and check-out times, room types, popular facilities, more photos, and featured guest reviews.

More than 20 filters let you keep only certain star ratings, a minimum review score, a price range, specific property types, amenities, a meal plan, a maximum distance from the center, free cancellation, breakfast included, pay-at-property, or pets allowed. Optional AI add-ons add a concise English summary and a structured amenity list. Missing source values are returned as null, never invented.

Use cases

• Hotel price monitoring and rate tracking across dates, currencies and competitors.
• Revenue management / rate shopping for hotels, OTAs and channel managers.
• Travel and accommodation apps that need a Booking.com data feed without an official API key.
• Market research on pricing, occupancy signals, amenities and review sentiment by city.
• Lead lists of hotels and accommodations with contacts, coordinates and ratings.
• Academic and data-science datasets of hotel prices, reviews and geolocation.

Quickstart

Open the actor, paste this into the input, and press Run. It returns 10 Paris properties with details for a default upcoming stay.

{
  "destination": "Paris",
  "maxHotels": 10,
  "withDetails": true,
  "adults": 2,
  "rooms": 1,
  "currency": "USD"
}

Set checkIn and checkOut to price a specific stay. destination is required; every other field is optional.

Input reference

Field	Type	Default	Description
destination	string	Paris	City, region, country, or property name to search, for example Paris, Cancun, Tuscany, Amsterdam.
searchQueries	string[]	(none)	Search several destinations in one run.
startUrls	string[]	(none)	Direct Booking.com property URLs (booking.com/hotel/...) or search-result URLs (booking.com/searchresults...).
maxHotels	integer	10	Maximum properties to collect across the run. Free Apify plans are capped at 10.
checkIn / checkOut	string	(default stay)	Stay dates (YYYY-MM-DD). Empty uses a default upcoming stay.
adults	integer	2	Number of adults.
children	integer	0	Number of children.
childrenAges	string[]	(none)	Age of each child (0-17), for accurate family-room pricing.
rooms	integer	1	Number of rooms.
currency	enum	USD	Currency for displayed prices (USD, EUR, GBP, MXN, BRL, JPY and more).
language	enum	en-us	Language of returned content (labels, review text).
sortBy	enum	popularity	Preferred sort order. Other orders are still cycled to fill the count.
propertyTypes	string[]	(all)	Keep only these types, for example Hotel, Apartment, Resort, Villa, Hostel.
starRatings	string[]	(all)	Keep only these star ratings (1-5).
minReviewScore	integer	(none)	Keep only properties at or above this guest review score (0-10).
minPrice / maxPrice	integer	(none)	Keep only properties within this total stay price range.
amenities	string[]	(none)	Keep only properties whose facilities/rooms/description mention all of these.
mealPlan	string	(none)	Keep only offers matching this meal plan, for example Breakfast, Half board, All-inclusive.
maxDistanceFromCenter	integer	(none)	Keep only properties within this many km of the city center.
freeCancellation	boolean	false	Keep only properties offering free cancellation.
breakfastIncluded	boolean	false	Keep only properties where breakfast is included.
payAtProperty	boolean	false	Keep only properties with no-prepayment (pay at the property).
petsAllowed	boolean	false	Keep only properties that allow pets.
withDetails	boolean	true	Enrich each property from its own page (description, address, sub-scores, times, facilities, room types, reviews).
scrapeReviews	boolean	true	Include featured guest reviews from each property page.
maxReviews	integer	10	Maximum guest reviews per property (0-25).
reviewerTypes	string[]	(all)	Keep only reviews from these traveler types, for example couple, family, solo, business.
reviewLanguages	string[]	(all)	Keep only reviews in these language codes, for example en, es, fr.
withListingSummary	boolean	false	AI concise English summary per property. Paid Apify plans only; billed only when produced.
withFeatures	boolean	false	AI-extracted amenity/feature list per property. Paid Apify plans only; billed only when produced.

Output reference

One dataset item per property. Values are string, integer, number, boolean, string[], object arrays, or null when the source value is absent.

Field	Type	Description
imageUrl / images	string / string[]	Primary image and full photo gallery.
name, type, url, bookingUrl, id	mixed	Property name, type, canonical URL, stay-aware URL, Booking.com property ID.
price, currency, priceFormatted	number/string	Total stay price in the selected currency.
pricePerNight	number	Price per night in the selected currency.
priceHotelCurrency, hotelCurrency	number/string	Total price in the property's local currency.
originalPrice, discountPercent	number/integer	Pre-discount price and discount when a deal applies.
priceIncludesTaxes, taxesAndFeesInfo	boolean/string	Whether taxes/fees are included, and the raw charges note.
reviewScore, reviewScoreWord, reviewsCount	number/string/integer	Guest score (0-10), label (Good, Excellent), and review count.
reviewCategoryStaff … reviewCategoryWifi	number	Per-category sub-scores: staff, cleanliness, comfort, facilities, location, value, WiFi.
externalReviewScore, externalReviewsCount	number/integer	External review score and count when shown.
starRating	integer	Star rating (1-5).
address, streetAddress, city, region, postalCode, countryCode, country	string	Full location breakdown.
displayLocation, distanceFromCenter, publicTransport, popularDistrict, isCentrallyLocated, nearbyBeach	mixed	Neighborhood and surroundings.
latitude, longitude	number	Coordinates for mapping.
checkInFrom, checkInUntil, checkOutFrom, checkOutUntil	string	Check-in/out time windows.
freeCancellation, noPrepayment, petsAllowed, breakfastIncluded, mealPlan	mixed	Policies and meal plan.
bedrooms, bathrooms, beds, unitArea, roomName, roomOccupancyMax	mixed	Matched-unit layout and capacity.
roomTypes, rooms	string[] / object[]	Room names and per-offer room objects (price, meal plan, free cancellation, availability).
popularFacilities	string[]	Most-popular facilities from the property page.
isSustainable	boolean	Whether Booking flags the property as sustainable.
reviewSummaryPositive, reviewSummaryNegative	string[]	Review pros/cons highlights.
description	string	Full property description.
reviews, reviewsScraped	object[] / integer	Featured guest reviews (title, text, score, reviewer country, traveler type, room, date) and count.
searchQuery	string	The destination that produced this record.
aiSummary, aiFeatures	string / string[]	Optional AI summary and amenity list (when enabled).
observedAt	string	ISO 8601 timestamp of collection.
error	string	null on success; a diagnostic item with a populated error is written (and not charged) when a property cannot be loaded.

How it compares

Honest, field-by-field against the leading Booking.com scrapers.

Capability	This actor	voyager/booking-scraper	apify/booking-scraper
Destination search + start URLs	✅	✅	✅
Multiple destinations per run	✅	❌	❌
Check-in/out, guests, rooms, children ages	✅ (incl. childrenAges)	✅	✅
Currency + language	✅	✅	✅
Price / star / review-score filters	✅	✅	✅
Amenity, meal-plan, distance, pets, pay-at-property filters	✅	❌	❌
Total + per-night price, both currencies	✅	Partial	Partial
Original price, discount %, tax-included flag	✅	❌	❌
Review category sub-scores (7)	✅	❌	❌
Room options array	✅	✅ (bed type, features)	✅
Coordinates, distance, surroundings	✅	✅	✅
Featured guest reviews inline	✅	❌	❌
Optional AI summary + amenity extraction	✅	❌	❌
Flexible-date window search (flexWindow)	❌	✅	✅
Very deep pagination (1000s per city)	Partial (order-cycled union, ~120-150/search)	✅	✅

Where a browser-based leader wins: they can paginate deeper into a single city (thousands of results via extended pagination) and expose per-room bed type and a flexible-date window. This actor returns a wider field set per property (dual-currency pricing, discounts, tax flags, review sub-scores, inline reviews, AI add-ons) and more filters, and covers more than enough breadth for price monitoring and research per destination.

Run via API and CLI

Start a run and read the dataset. Replace <TOKEN> with your Apify API token.

Run synchronously and get dataset items in one call:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~booking-hotels-scraper/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"destination":"Lisbon","checkIn":"2026-09-20","checkOut":"2026-09-22","currency":"USD","maxHotels":25}'

Start a run asynchronously:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~booking-hotels-scraper/runs?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"destination":"Cancun","minReviewScore":8,"propertyTypes":["Resort"],"maxHotels":100}'

Apify CLI:

apify call scrapers_lat/booking-hotels-scraper \
  --input '{"destination":"Amsterdam","freeCancellation":true}'

Fetch results

Every run writes to a dataset. Fetch items as JSON, CSV, or Excel by changing format:

# JSON
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=json"

# CSV
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=csv"

# Paginate large datasets
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&offset=1000&limit=1000"

<DATASET_ID> is returned as defaultDatasetId in the run object. clean=true drops empty and internal fields.

Billing and limits

• Pay per result. You are charged per property returned (result event). See the pricing tab for the current per-result price.
• Property details are billed per property (details event) only when the property page is fetched successfully and returns extra fields.
• No charge on failure. A property that cannot be loaded is written as a non-billable item with a populated error field. Empty runs cost nothing.
• AI add-ons are opt-in. Listing summary and feature extraction are billed per property only when usable output is produced, and only on paid Apify plans.
• Spend cap respected. Set maxTotalChargeUsd on the run; once reached, the actor stops emitting and charging further billable results.
• Free Apify plans are capped at 10 properties per run. Upgrade for higher maxHotels.

FAQ and troubleshooting

Do I need a Booking.com API key? No. There is no official public Booking.com data API for rates; this actor needs no API key, account, or login. Just provide a destination.

A run returned 0 records. Why? The destination matched nothing, or your filters excluded every property. Check the spelling and loosen the filters. Zero-result runs are not charged.

Why is price null on some properties? Booking does not always return a bookable price for the default stay or every property. Set explicit checkIn and checkOut dates and a party size to get priced availability. Missing prices are returned as null, never guessed.

Can I get prices in a specific currency? Yes. Set currency. Each record also includes the price in the property's local currency (priceHotelCurrency, hotelCurrency).

How many properties can I get per destination? Typically ~120-150 unique properties per destination, gathered by cycling Booking's result orders and de-duplicating. Use searchQueries to cover many destinations in one run.

Does it include guest reviews and sub-scores? Yes. With details enabled, each property includes featured guest reviews and per-category sub-scores (staff, cleanliness, comfort, facilities, location, value, WiFi).

Does it include coordinates? Yes. latitude and longitude are included for mapping, along with the display location, district and distance from center.

Is this an official Booking.com tool? No. This actor is independent and has no affiliation with Booking.com. It reads only data that is publicly available on Booking.com search and property pages. Use it in accordance with Booking.com's terms of service.

Related scrapers

• Booking.com Reviews Scraper: Guest reviews for Booking.com properties.
• Airbnb Scraper: Airbnb listings, prices, and hosts.
• Adondevivir Scraper: Latin American property listings.
• Funda Netherlands Scraper: Netherlands property listings.
• SeLoger France Scraper: French property listings.
• Crexi Commercial Real Estate Scraper: Commercial real estate listings.

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Independent tool, not affiliated with Booking.com. Accesses only publicly available data. Use in accordance with Booking.com's terms of service.