Booking.com Scraper - Extract hotel data from search pages

Booking search extractor is designed to extract hotel information listed in search pages of booking.com.

It will extract all hotel data indicated on below picture.

You can give additional parameters in addition to starter link as shown on screenshot. Booking.com web scraper will use given starter date in format of "Year-Month-Day" like "2024-12-31" and will add given night count -default is 1- to this date to find end date. Also adult count can be passed to booking scraper default will be 2. 

Below is a screenshot of what data fields we will be web scraping from Booking.com.

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:

• total check-ins
• domain
• unique key
• price
• listing id
• url
• check-in
• check-out
• title
• review score
• review count
• review title
• address
• distance
• latitude
• longitude
• last booked
• room
• bed
• only left
• thumbnail
• taxes
• extra
• currency
• star
• person
• night

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.

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.

Video tutorial

Watch how I quickly use the tool to extract data from Booking.com .

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

What does the output data look like?

*** Data below was extracted on Nov 17, 2024 @18:26