Best Booking.com Scrapers

7 Best Booking.com Scrapers 2024: How to Scrape Hotel Data with Python

Published on: March 22, 2023
Last Updated: March 22, 2023

7 Best Booking.com Scrapers 2024: How to Scrape Hotel Data with Python

Published on: March 22, 2023
Last Updated: March 22, 2023

In a hurry?
The best Booking.com scraper in 2024, as found in our independent testing, is ScraperAPI!


Booking.com is a trusted name for travelers all over the world. It can help you with anything from booking a hotel room to renting a car.

Thanks to the abundance of options available on the website, you can easily compare rates and choose the option that best matches your preferences. 

The data on booking.com, however, is not only important for travelers. It can also help different websites improve their content.

Hotel owners can check the rates offered by their competitors to up their game. Booking.com data is also very important for price comparison websites. 

You can collect a significant amount of data, including car rental services and flight fares, from booking.com. But doing so will not be easy at all.

There is an anti-spam system in place which makes it quite difficult for people to scrape data off booking.com. 

Best Booking.com Scrapers 2024

If you don’t have any coding skills and wish to scrape data off booking.com, you will need tools that can bypass the website’s security system.

It is important to remember that the website tracks your activity using your IP address and cookies.

If it detects a problem with your connection or receives multiple requests from the same IP address in a short time, it will restrict your access to its data. 

The best way to bypass the security system of booking.com is with the help of multiple IP addresses.

But whether it is scraping data off booking.com or deceiving its anti-spam system, you can only succeed with the right tools. 

Here’s a quick look at the best Booking.com scrapers:

  1. ScraperAPI – 🏆 Winner!
  2. Apify
  3. Bright Data
  4. Octoparse
  5. ParseHub
  6. Webscraper.io Extension
  7. Booking.com Hotel Scraper from Botster

1. ScraperAPI

ScraperAPI

Scraping a website without getting blocked is becoming more and more difficult with time.

Websites keep putting new security measures in place to avoid scraping attempts. Things like captcha can easily destroy all efforts of a team to scrape data off a website. 

ScraperAPI is a highly advanced scraper, which is why it can easily confuse the anti-spam system of websites.

It was developed by an ex-Google crawler team, which is why it comes with the right kind of features for scraping. 

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One of the best features of ScraperAPI is its Artificial Intelligence based identification system.

This system can automatically detect useful data on a page without manual operation.

But, if needed, you can also manually identify the data while using ScraperAPI. Another great feature of ScraperAPI is its extensive list of output data formats.

A lot of popular web scrapers only offer data output in one or two formats, which can be a problem for people at times.

But with ScraperAPI, you can easily get the data in the format of your choice. 

Main Features

  • Free starter plan is available with a few limitations. 
  • Supported platforms include both desktop and cloud. 
  • Data output formats include TXT, CSV, Google Sheets, Excel, and JSON. 
  • Pricing starts at $49.99 per month so you can choose the plan that suits you. 

2. Apify

Apify

Apify is the perfect tool for automating the actions you can do in a browser. Whether it is web scraping or data extraction, you can get help from Apify to obtain your desired results.

The best thing about this automation platform is that it can create API for any website. 

You can find ready-made scraping tools for almost all of the popular websites on the Apify store.

With the Booking Scraper from Apify, you can extract all the data you need including hotel names and locations, availability, conditions, and promotions. 

Apify also offers a step-by-step tutorial for people who don’t know how to scrape data with the Booking Scraper.

This is a blessing for non-techies as they can easily run the actor to extract the data they need. 

Main Features

  • 30 day proxy trial with the free plan. 
  • Custom pricing for all actors. 
  • Prices vary depending on the amount of data you want to collect. 
  • Supports various data output formats including CSV, Excel, HTML, JSON, and XML.

3. Data Collector by Bright Data

Bright Data Data Collector

Bright Data, a leader in the proxy market, developed this tool to assist people who wish to collect data from booking.com without getting targeted by the site’s anti-spam system.

You won’t have to face any restrictions while using this tool. Data Collector is the best Booking scraper and you can use it to collect data on any hotel listed on the website. 

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Due to its efficient performance, Data Collector is considered a must have for anyone who wishes to collect Booking.com data.

Another great feature of this tool is that it comes with a pre-collected dataset of all the hotels listed on booking.com. 

Main Features:

  • Free trials are available for everyone so people can try the tool before buying it.
  • Pricing will depend on the number of page loads and it starts from $350 per month for 100K page loads. 
  • Data Collector offers data output in the following formats: Excel, JSON, HTML, and CSV.
  • A web-based tool for easy navigation. 

4. Octoparse

Octoparse

Octoparse is another useful tool for non-coders who wish to collect data from Booking.com.

The best thing about this tool is it is undetectable and can help you avoid the anti-spam system of Booking.com easily.

But in order to scrape data without getting detected, you must use the tool the right way. You will also have to use proxies to avoid detection. 

Since Octoparse has been developed for the modern web, it can be used to scrape any website, including a website like Booking.com with a hard-to-beat anti-spam system.

It is also quite easy to use. So, even if you are not a techie, you can find your way around the tool pretty easily. 

Among the many beneficial advanced features of Octoparse, scheduled scraping is the most helpful.

It also handles IP rotation efficiently so you don’t get blocked from Booking.com during scraping.

All of these features make Octoparse a Booking.com scraper worth trying. 

Main Features

  • Supported data output formats include CSV, JSON, MySQL, SQLServer, and Excel. 
  • A 14 days trial with a few limitations is available for free. After that, you will have the option to choose from five plans. 
  • Supports both desktop and cloud. 
  • Pricing starts from $75 per month. 

5. ParseHub

ParseHub

If you are looking for a Booking.com scraper that can collect all the public data available on the website, then you don’t have to look further than ParseHub.

You can have the data you need in as little as three steps.

ParseHub makes it possible for you to just click on the data you need and then download the results on your computer.

Another great thing about ParseHub is that it is available for free. You can download it right now and start using it straight away.

However, there is a limit on the features you will get with the free version.

So, if you want to be able to complete more private projects, you will have to buy one of the three plans. 

There is not much difference between ParseHub, ScraperAPI, and Octoparse. However, the free version of ParseHub sets it apart from other scraping tools.

Despite its limitations, it is a complete scraping tool that you can keep on using for as long as you want.

There is no trial expiration that would require you to pay for a plan afterward. 

Main Features

  • Available for free with a paid plan. 
  • Three paid plans to choose from. 
  • Both desktop and cloud are supported platforms. 
  • Supported data output formats include Excel and JSON. 

6. Webscraper.io Extension

Webscraper.io

Another free web scraping tool that can help you collect data from Booking.com is the webscraper.io extension.

This free scraping extension works on both Chrome and Firefox. However, you will need to use proxies to avoid detection.

And the best way to avoid detection from Booking.com’s anti-spam system is through rotating proxies. 

The simple point and click interface of Webscraper.io makes it easy for users to configure its settings.

You can easily identify the data that you wish to collect and the extension will do the rest for you.

Thanks to the modular selector of Webscraper.io, selecting hotels by categories will become a lot simpler for you. 

Since Webscraper.io is a browser extension, you can easily use it to collect different types of data from Booking.com.

However, if you want to try all the features of the extension, you will have to buy one of the four paid plans.

If you are just starting with scraping, you can try the free version first and see if it is worth spending money on or not. 

Main Features

  • Works in both Chrome and Firefox. 
  • Supported data output formats include CSV, JSON, and XLSX. 
  • IP rotation is available with thousands of IP in the pool. 
  • Available for free with a few limitations. 

7. Booking.com Hotel Scraper from Botster

Botster

Automation tools can help you extract data from Booking.com easily. But if you want an even simpler solution, a bot can be of help.

This bot from botster can collect data from Booking.com and export it into a spreadsheet.

It may be a bit different from a typical Booking scraper, but it can get the job done for you.

Like other scrapers, the price of the Hotel Scraper bot from botster will depend on the amount of data you wish to extract.

Having said that, it is still a lot cheaper than other options listed in this article. 

Although the bot can extract important data including popular facilities, hotel names and URLs, and specific grades, there are certain limitations to it.

However, since a free trial is available, you can give it a try and see if it matches your requirements. 

Main Features

  • Free trial available. 
  • Pricing depends on the amount of data you need to collect. 
  • Supported data output formats include JSON, CSV, and Google Sheets. 
  • Easy to run setup. 

How to Scrape Hotel Data from Booking.com

A lot of hotel listing websites turn to Booking.com to collect important data. But becoming the victim of such websites has pushed Booking.com to tighten its security.

The company is fully aware of the value of the data available on its website, which is why it has created its anti-spam system. 

Although people can use a different IP address to bypass certain security measures, it would still be impossible to scrape Booking.com data due to captchas.

So, you will not only need to get rotating IPs to bypass the anti-spam system but also incorporate a captcha solver. 

There are certain scraping practices that first-timers may not be aware of.

For instance, if you want to avoid getting caught by the website’s security setup, you can set delays between requests. 

Websites like Booking.com have to amp up their security regularly to avoid getting their data stolen by scrapers.

However, scrapers have also become more and more advanced.

Whether it is captchas or IP addresses, you can get over them as long as you have the right tool. 

Reasons to Use a Booking Scraper

For someone not familiar with the hotel industry, the data at Booking.com may not seem that important.

But in truth, one of the biggest reasons people turn to scraping is hotel listings.

The competition is always quite fierce in the industry. However, if you have access to important data, you can stay on top. 

Monitor Prices

Attracting more customers is not that easy when everyone in the industry is trying so hard to stay on top.

However, if you keep your finger on the pulse, you can know how to stay competitive in the hotel industry. 

When you scrape Booking.com data, you will know if your competitors are making any changes to their rates.

You can adjust your rates accordingly to maximize your profits. Using a Booking.com scraper is highly recommended.

Better Customer Service

Understanding the demands and needs of customers is very important for every hotelier.

However, gathering all the important information about your guests’ preferences can be difficult.

But with scraping, you can easily learn what your guests think of your services. 

You can also learn what people prefer about accommodation and transportation through scraping.

When you know what your guests want, you will be able to easily modify your services accordingly. Better customer service will lead to higher profits. 

Long-Term Forecasts

If you have all the relevant data at your disposal, you can easily make long-term forecasts.

When you set rates in advance, you can easily maximize your hotel’s chances of increasing bookings. 

The data from Booking.com can also tell you about the expectations of people from different geographical backgrounds.

When you make changes to accommodate people’s preferences, you will be able to attract more guests easily. 

Price Comparison

If your website offers price comparisons for hotel rates and flight fares, then you can benefit greatly from Booking.com data.

It is impossible to look up the rates offered by different hotels in order to offer people a comparison. 

But if you collect data from Booking.com, you will be able to offer price comparisons easily.

You can also provide other information about hotels, like contact information and types of rooms available, to bring more people to your website. 

Evaluate Rate Plans

If you want to know which rate plans work best, there is no better way for that than scraping Booking.com data.

When you know which rate plans convert best, you can create more relevant offers to attract guests. 

Simply reducing the rate or announcing an offer may not be as effective as you think.

But if you plan after evaluating the success of different rate plans, you will be more likely to bring in more guests. 

Create Better Packages

The two most important factors in the hotel industry are price and value. Sometimes, one of these factors influences the decision of guests more than the other.

It is important for hoteliers to know whether their guests choose because of price or because of value. 

Through scraping, you can find the common themes easily and then create better packages for the future.

You can combine both price and value to create a more sustainable conversion strategy.

But a better strategy will only become possible because of scraping Booking.com data. 

How to Choose a Scraper for Booking.com

There is a great number of scrapers available for collecting data from websites like Booking.com.

But if you want to be able to beat the anti-spam system and captchas, you will have to find a tool that was specifically designed for this purpose. 

The pricing of scrapers is a good place to start when you are having a hard time choosing an option.

Compare the prices and services being offered by different scrapers to figure out what kind of plans you can get within your budget. 

It is also important to consider what kind of data a scraper can collect for you. A scraper that is cheaper might not be able to collect all the data you need to extract from Booking.com.

A good Booking.com scraper will be one that can collect all the relevant data for you. 

How to Scrape Booking.com with Python: Sample Code

Heres a really basic piece of code that you can try out.

from bs4 import BeautifulSoup
import requests
class BookingScraper:
def__init__(self):
self.hotel_list = []
self.hotel_info = {}
self.hotel_info["name"] = "NA"
self.hotel_info["address"] = "NA"
self.hotel_info["description"] = "NA"
defget_hotel_info(self, url):
headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9'}
page_source = requests.get(url, headers=headers)
soup = BeautifulSoup(page_source.content, "html.parser")
self.hotel_info["name"] = soup.find("h2", {"class": "hp__hotel-name"}).text
self.hotel_info["address"] = soup.find("span", {"class": "hp_address_subtitle"}).text
self.hotel_info["description"] = soup.find("div", {"class": "hp_desc_main_content "}).text
self.hotel_list.append(self.hotel_info)

urls = ["https://www.booking.com/hotel/ng/dilida-guest-suites.html",]
hotel_infos = BookingScraper()
for urlin urls:
hotel_infos.get_hotel_info(url)
print(hotel_infos.hotel_list)

Final Words

Whether you have a hotel of your own or a hotel listing website, data from Booking scraping can be highly beneficial for you.

But due to the security measures in place, extracting that data can be a bit difficult. 

However, you can collect all the data you need from Booking.com with the help of a good Booking.com scraper tool.

The scrapers mentioned above have been tried and tested by various users, which is why you can also count on them to help you extract the data that you need. 

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Written by Jason Wise

Hello! I’m the editor at EarthWeb, with a particular interest in business and technology topics, including social media, privacy, and cryptocurrency. As an experienced editor and researcher, I have a passion for exploring the latest trends and innovations in these fields and sharing my insights with our readers. I also enjoy testing and reviewing products, and you’ll often find my reviews and recommendations on EarthWeb. With a focus on providing informative and engaging content, I am committed to ensuring that EarthWeb remains a leading source of news and analysis in the tech industry.
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