Booking.com Hotels Scraper

hipersoft/booking-hotels-scraper

Scrape Booking.com hotels and accommodation in bulk: name, type, address, city, country, coordinates, review score, review count, star rating, price, image and link. For travel, price research and n8n.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per hotel scraped

$0.004

Last rebuilt

Oct 26, 2026

Overview

Scrape Booking.com hotels and accommodation in bulk and export name, property type, address, city, country, coordinates, review score, review count, star rating, price, image and link as structured data. Paste one or more Booking.com search URLs, or just type a destination with your dates, and get back clean JSON, CSV, Excel or XML.

What does Booking.com Hotels Scraper do?

Booking.com Hotels Scraper collects properties from Booking.com search results. Give it a city or a full Booking.com search URL — or a destination plus check-in/check-out dates — and it walks the results pages and returns one row per property: the name and type, full address with city and country, map coordinates, guest review score and count, official star rating, the displayed price and currency, a lead image and a direct link. Results stream into a dataset you can download or pull through the Apify API.

What data can you scrape from Booking.com?

Data point	Description
Name	Property name as shown on Booking.com
Type	Accommodation type, e.g. Hotel, Apartment, Resort, Guesthouse
Address	Street address of the property
City & country	City name and 2-letter country code
Coordinates	Latitude and longitude for mapping
Review score	Guest review score (out of 10)
Review count	Total number of guest reviews
Star rating	Official star rating of the property
Price	Displayed price for the stay, plus currency
Free cancellation	Whether free cancellation is offered
Image	Lead photo URL
URL	Direct link to the property page

What you get

One record per property:

{
  "name": "The Fullerton Hotel Singapore",
  "type": "Hotel",
  "address": "1 Fullerton Square",
  "city": "Singapore",
  "country": "SG",
  "latitude": 1.286476,
  "longitude": 103.853058,
  "reviewScore": 9.2,
  "reviewCount": 4141,
  "starRating": 5,
  "price": 385.4,
  "currency": "USD",
  "url": "https://www.booking.com/hotel/sg/the-fullerton-singapore.html",
  "image": "https://cf.bstatic.com/xdata/images/hotel/square600/....webp",
  "freeCancellation": true
}

Output schema

Field	Type	Description
`name`	string	Property name as shown in search results.
`type`	string	Accommodation type, e.g. Hotel, Apartment, Resort.
`address`	string	Street address of the property.
`city`	string	City the property is located in.
`country`	string	2-letter country code, e.g. SG, GB, US.
`latitude`	number	Property latitude coordinate.
`longitude`	number	Property longitude coordinate.
`reviewScore`	number	Guest review score out of 10.
`reviewCount`	number	Total number of guest reviews.
`starRating`	number	Official star rating of the property.
`price`	number	Displayed price for the selected stay.
`currency`	string	Currency code for the price, e.g. USD, GBP.
`url`	string (URL)	Direct link to the property page.
`image`	string (URL)	URL of the property's lead photo.
`freeCancellation`	boolean	True when free cancellation is offered.

Prices appear only when both check-in and check-out dates are set (in the URL or the date fields). A destination-only search still returns names, ratings, location and links.

Use cases

Benchmark nightly and total prices across hotels in a market.
Track review scores and review counts of competing properties over time.
Map available inventory in a city or neighborhood using the coordinates.
Build datasets for revenue-management and dynamic-pricing models.
Compare star ratings, property types and cancellation policies.
Enrich travel, real-estate and price-comparison apps with live hotel data.

How to scrape Booking.com hotels

Add Booking.com Hotels Scraper to your Apify account and open the input.
Either paste one or more Booking.com search URLs into searchUrls, or type a destination (e.g. "Singapore") with checkIn / checkOut dates and adults.
Set maxItems to cap how many properties you collect in total.
Optionally set a currency (e.g. USD, EUR, GBP, SGD).
Click Run and watch properties stream into the dataset.
Export the results as JSON, CSV, Excel or XML, or pull them through the Apify API.

Input

{
  "searchUrls": [
    "https://www.booking.com/searchresults.html?ss=Singapore&group_adults=2&no_rooms=1&group_children=0"
  ],
  "destination": "London",
  "checkIn": "2026-09-20",
  "checkOut": "2026-09-22",
  "adults": 2,
  "maxItems": 50,
  "currency": "USD"
}

Field	Description
`searchUrls`	Booking.com search-result URLs to scrape (dates/guests/filters in the URL are respected).
`destination`	A city or place to search when you have not pasted a URL.
`checkIn` / `checkOut`	Stay dates in YYYY-MM-DD; required for prices.
`adults`	Number of adult guests for the structured search.
`maxItems`	Maximum number of properties to collect in total.
`currency`	3-letter currency code for displayed prices.
`proxyConfiguration`	Proxy settings; the default is tuned for reliable results.

Using Booking.com Hotels Scraper with n8n and Make

The dataset is available over the Apify API, so you can wire it into no-code and automation tools. In n8n, use the Apify node (or an HTTP Request node) to start a run and read the dataset items, then push hotels into a database, spreadsheet or notification. The same works in Make, Zapier and any workflow that can call a REST API.

FAQ

How many hotels can I scrape? As many as the search results contain — set maxItems to control the total volume. Booking.com returns 25 properties per results page.

Why are some prices empty? Prices only appear when both check-in and check-out dates are provided. Add them to the search URL, or fill the checkIn and checkOut fields, to get pricing.

Can I scrape a specific city, region or filtered search? Yes. Open the search you want on Booking.com — set the destination, dates, guests and any filters — then copy the URL from the address bar into searchUrls.

What formats can I export? JSON, CSV, Excel and XML, or pull the data live through the Apify API.

Can I automate it on a schedule? Yes. Use Apify Schedules to run the actor at any interval and keep your hotel dataset fresh.

Related scrapers

Original clean-room implementation.

Input

Field	Type	Description
`searchUrls` Booking.com search URLs	array	Paste one or more Booking.com search-result URLs (open a city/area search on Booking.com, copy the address bar). Dates, guests and filters set in the URL are respected. One URL per line. You can use this together with, or instead of, the structured search belo
`destination` Destination	string	A city, region or place to search (e.g. "Singapore", "London", "Bali"). Used to build a Booking.com search when you have not pasted a search URL above.
`checkIn` Check-in date	string	Check-in date in YYYY-MM-DD format (e.g. 2026-09-20). Optional — prices only appear when both check-in and check-out are set. Used with the Destination field.
`checkOut` Check-out date	string	Check-out date in YYYY-MM-DD format (e.g. 2026-09-22). Optional — prices only appear when both check-in and check-out are set. Used with the Destination field.
`adults` Adults	integer	Number of adult guests for the structured Destination search. Default: `2`
`maxItems` Max hotels	integer	Maximum number of hotels to collect in total across all searches (Booking.com returns 25 per page). Default: `50`
`currency` Currency	string	3-letter currency code for displayed prices (e.g. USD, EUR, GBP, SGD). Applied to structured searches and to pasted URLs that do not already set a currency. Default: `"USD"`
`proxyConfiguration` Proxy configuration	object	Proxy configuration. Leave the default — it is tuned for reliable results. Default: `{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~booking-hotels-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "searchUrls": [
    "https://www.booking.com/searchresults.html?ss=Singapore&group_adults=2&no_rooms=1&group_children=0"
  ],
  "destination": "Singapore"
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/booking-hotels-scraper").call(run_input={
    "searchUrls": [
        "https://www.booking.com/searchresults.html?ss=Singapore&group_adults=2&no_rooms=1&group_children=0"
    ],
    "destination": "Singapore"
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/booking-hotels-scraper').call({
  "searchUrls": [
    "https://www.booking.com/searchresults.html?ss=Singapore&group_adults=2&no_rooms=1&group_children=0"
  ],
  "destination": "Singapore"
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Hotel Scraped Charged per hotel scraped.	$0.004	$0.002

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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