Booking.com One Room per Hotel Extractor

The Booking One Room per Hotel tool is specifically designed to collect pricing information for just one type of room by each hotel allowing you to see the most chosen type of room and its amenities, price, etc.

Easy to Use and Free to Try

A few mouse clicks and copy/paste is all that it takes!

* to use you will need to sign up for a  FREE TRIAL account

Steps to use:

Step 1: Click on "use for Free"

Step 2: Activate the Pre-Defined extractor by clicking the "Activate button"

Step 3: Enter your starter URLs

Enter a List of search URLs to start the web scraping. It must be a Booking hotel search URL including query strings for filters.

Step 4: Click "Run now" 

Using this extractor, you can get:

• title                                                                     
• total check-ins
• domain
• unique key
• listing id
• url
• check-in
• check-out
• review score
• review count
• review title
• distance
• longitude
• last booked
• only left
• thumbnail
• currency
• star
• search person
• search night
• hotel id
• room id
• price id
• room type
• price
• taxes
• availability
• price unit
• price conditions
• max person
• price for room count
• beds
• room size
• number of facilites
• photos count
• full address
• images
• description
• facilities
• restaurants
• parking
• languages spoken
• payment methods
• latitude

Obtaining the Starter Link:

The Booking.com website enables you to conduct hotel searches by specifying a date, location, and the number of guests. You have the option to apply filters according to your preferences.

Notes

• Booking.com will only show on screen a maximum of 1000 Hotels in the search results, as we are screen scraping you will only get a maximum of 1,000 hotels in your export file. To workaround this please create multiple search URL's and add them as starter links
• You can also use the task schedule feature to run automated jobs to run this scraper.

The output file can be exported as csv, xml, xlsx, json formats.

Below, you can see some of the Booking.com data files your extractor will scrape.

What does the output data look like?

*** Data below was extracted on Jul 28, 2024 @08:10