Start Your Project with Us

Whatever your project size is, we will handle it well with all the standards fulfilled! We are here to give 100% satisfaction.

  • Any feature, you ask, we develop
  • 24x7 support worldwide
  • Real-time performance dashboard
  • Complete transparency
  • Dedicated account manager
  • Customized solutions to fulfill data scraping goals
Careers

For job seekers, please visit our Career Page or send your resume to hr@actowizsolutions.com

How-to-Scrape-Booking-com-Data-Using-Beautiful-Soup-to-Do-Hotel-Data-Analysis

Booking.com, a renowned online travel agency, offers many hotels and accommodations worldwide. This project aims to utilize web scraping techniques to gather data from Booking.com. The primary objective is to extract information concerning hotels, encompassing details like prices, ratings, reviews, amenities, and locations. The collected data will be valuable for analyzing customer behavior, identifying patterns, and discerning trends, such as favored destinations, preferred amenities, and booking habits.

Import Libraries

BeautifulSoup (bs4) is utilized for scraping data from HTML documents requests is utilized for sending HTTP requests and get responses pandas is utilized for data manipulation & analysis

Import-Libraries

HTML Structure Overview

Understanding the HTML structure of a website is crucial for effective web scraping, as it enables the identification of the targeted elements for extraction. In this project, we focus on data extraction from Booking.com for hotels in London. The HTML structure of the webpage plays a vital role in determining the specific elements such as prices, ratings, reviews, amenities, and locations we aim to extract. By analyzing the HTML structure, we can navigate and locate the relevant sections of the webpage to gather the desired information.

HTML-Structure-Overview

To examine HTML elements on a web page, you can utilize the browser's integrated developer tools. Here's a guide on how to do it using Google Chrome:

Open Google Chrome and navigate to the desired web page.

Right-click on the element you want to inspect and choose "Inspect." Alternatively, you can use the keyboard shortcut "Ctrl + Shift + I" (Windows/Linux) or "Cmd + Shift + I" (Mac) to open the Developer Tools panel.

The Developer Tools panel will appear, displaying the HTML source code of the web page. The " Elements " tab will highlight the element you right-clicked on.

Utilize the "Elements" tab to navigate the HTML tree and select any element you wish to inspect. When you select an element, its corresponding HTML code will be highlighted in the panel. You can view and modify its properties and attributes in the "Styles" and "Computed" tabs.

By utilizing the browser's developer tools, you can quickly examine and analyze the HTML structure of a web page, which proves beneficial for web scraping projects.

By-utilizing-the-browser

Get HTML from the Website

To get HTML from the website having Bootstrap, you may utilize Python’s requests library for sending an HTTP request to a website’s server and regain HTML content.

Get-HTML-from-the-Website

After regaining a page we make a BeautifulSoup object through passing HTML content with required parser (here, we’re utilizing ‘html.parser’ parser given by BeautifulSoup)

soup = BeautifulSoup(response.text, 'html.parser')

Using the resulting soup object, you can navigate the HTML tree and extract the desired data from the web page. In this project, we will retrieve the following information from a list of hotels:

Hotel name

Location

Price

Rating

By identifying the specific HTML elements that contain this information, we can extract it using BeautifulSoup's methods and attributes.

Data Scraping

Data-Scraping

Making a DataFrame

After scraping the required data from the hotel listing with Beautiful Soup, it’s easy to make a pandas DataFrame for storing and manipulating data.

Making-a-DataFrame Making-a-DataFrame

Making CSV Files

hotels.to_csv('hotels.csv', header=True, index=False)

To conclude, web scraping using Python and Beautiful Soup is valuable for gathering data from websites. In this project, we have explored the process of extracting hotel information from Booking.com and generating a CSV dataset. We appreciate your time reading this blog, and we hope it provided valuable insights and assistance. Thank you! For more information, please contact Actowiz Solutions! Call us for all your mobile app scraping and web scraping service requirements.

RECENT BLOGS

View More

How Automated Price Monitoring Transforms E-Commerce Strategies?

Automated price monitoring revolutionizes e-commerce by enabling dynamic pricing, and data-driven decisions to enhance profitability and market competitiveness.

How Can Real Estate Data Scraping Collect Comprehensive Market Data?

This blog shows how can real estate data scraping help collect comprehensive market data? Discover strategies, tools, and solutions to gather property insights.

RESEARCH AND REPORTS

View More

Analyzing Women's Fashion Trends and Pricing Strategies Through Web Scraping Gucci Data

This report explores women's fashion trends and pricing strategies in luxury clothing by analyzing data extracted from Gucci's website.

Mastering Web Scraping Zomato Datasets for Insightful Visualizations and Analysis

This report explores mastering web scraping Zomato datasets to generate insightful visualizations and perform in-depth analysis for data-driven decisions.

Case Studies

View More

Case Study - Revolutionizing Global Tire Business with Tyre Pricing and Market Intelligence

Leverage tyre pricing and market intelligence to gain a competitive edge, optimize strategies, and drive growth in the global tire industry.

Case Study: Data Scraping for Ferry and Cruise Price Optimization

Explore how data scraping optimizes ferry schedules and cruise prices, providing actionable insights for businesses to enhance offerings and pricing strategies.

Infographics

View More

Crumbl’s Expansion: Fresh Locations, Fresh Cookies

Crumbl is growing sweeter with every bite! Check out thier recently opened locations and see how they are bringing their famous cookies closer to you with our web scraping services. Have you visited one yet

How to Use Web Scraping for Extracting Costco Product Specifications?

Web scraping enables businesses to access and analyze detailed product specifications from Costco, including prices, descriptions, availability, and reviews. By leveraging this data, companies can gain insights into customer preferences, monitor competitor pricing, and optimize their product offerings for better market performance.