How to Scrape Booking.com website Hotels data, Step by Step guide (no code 2022)

This tutorial will show you how to scrape Booking.com for all Hotel room details including prices using the Booking.com Scraper - Hotel Rooms details and Booking.com Scraper - Search Pages available at WebAutomation Marketplace.

Our Booking.com pre-built web scraping tools allows you scrape to gather product information such as – Hotel URL, Cover image URL, Hotel name, Stars, Price for the selected period , Address, Reviews count, and 15+ other product details within minutes.. No python coding needed!

Our advanced scraping method works like a real user, allowing you to extract all the data you need without being blocked.

All you need is a free WebAutomation account and a search URL from Booking.com, and you can turn the valuable information in Booking.com into a spreadsheet or an API, enabling you to finally leverage this powerful database. 

In this tutorial, we walk you step-by-step through the whole process.

 

What kind of data do you get from Booking.com Hotel Scraper?

With our pre-built, no code Bookin.com scraper, you will get:

 

• Listing ID
• Prices
• RoomType
• Amentities
• Images
• URL
• CheckIn
• CheckOut
• Title 
• Review Score
• Review Count
• Review Title
• Address 
• Distance
• Latitude 
• Longitude
• Reviews
• +20 more fields

 

See screenshot of some of the data the scraper will collect below

 

 

How to scrape Booking.com using WebAutomation.io

 

We’re going to show you how to use WebAutomation's ready-made Booking.com Scraper to extract data from Booking.com. With this tool, you will be able to extract any business's information on Google Maps including reviews, images, opening times and phone numbers.

 

Video Tutorial

Watch the below video, if you rather follow step by step via video

 

 

Step 1: Sign up /Sign in for a free account

If you don't already have a Webautomation account, you can sign up for a free trial account with your email here.

 

 

Step 2: Find the Booking.com Scraper

Once you sign in you will be redirected to the in-app home page. As we are looking only for the Booking.com Extractor, search for it on the main search bar. When you see the result, click on it. In Webautomation.io you will find 2  extractors

Booking.com Hotel room details or Booking.com search pages, choose the one which best meets your requirements

 

 

 

Step 3: Activate the booking extractor

To confirm you want to go ahead and add the extractor to your profile, click the Activate button.

 

 

Step 4: Get URLs from Booking.com

Open Booking.com in a new tab and find the data you are looking for by running a search. For this example, let's search for hotels in central London.

Once you have searched, copy the URL and go back into WebAutomation. See the URL we used here

P.S The only valid format for URLs contains /search results

 

 

Pro tip 1: To get the best results, make your  search as specific as possible so you limit your results and don't waste credits on unwanted results.

P.S Booking.com only shows a maximum of 1,000 hotel results per search

 

Step 5: Configure the booking extractor

The key input required is the starter link from Google Maps. Paste your link in the Edit Starter Links box and click Update.

Make sure it starts with /searchresults

 

 

 

Before running the extractor, go to the Variables tab and enter the language you want to search in as well as the check-in and out dates. 

Make sure to save the changes by clicking Update. 

 

 

 

 

 

Pro tip 2: To increase the speed of the extractor, go to Settings and increase the concurrent Request count.  This is only available on certain paid plans. 

 

 

Step 6: Run the booking Extractor

Click the "Run now " button to begin the extractor session.

 

 

 

Step 7: Sit Back, Relax, and Let WebAutomation Get Your Data

You will get a pop up telling you the extractor is running and the status of the extractor will show as "running". Our scraping method works like a real user, allowing you to extract all the data you need without being blocked. Because of this, it can take several hours to scrape all the results, depending on how many there are in the starter URL you input. 

 

 

 

Step 8: Download Your Booking Data

You will be notified by email once the extractor has finished. You can click the link in the email or log in to your account and go to the Data tab to download the data.

You can download as CSV, JSON, XLSX, XML and JL.

 

 

 

Step 9: Open the Data File

In this example, we downloaded our file as a CSV, so we will use Microsoft Excel to open the file

See results  from the Hotel Rooms scraper

 

Search results data output from the search results scraper

 

How to use data extracted from booking.com

Businesses in the Travel space can use booking.com to gain competitive advantage using a data driven strategy. See  below some of the ways you can use the data

• Comparitive Price monitoring and analysis : As all the pricing of competitors are transparent, tracking these and adjusting your prices can help your listings more attractive and competitive. 
• Centiment analysis : Without thousands of reviews, valuable insights can be got from what customers are reacting to by analysing the sentiments and tone of the words used in the reviews
• Perform Competitive research: With the plethora of data from all major hotels, webscraping can help you to harvest the data to  benchmark prices, features, amenities etc and drive additional revenue.  With web data you can gain insights into competitive listings, benchmark competitive pricing, and identify the most profitable locations