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Web Scraping using Selenium and Python. Ask Question Asked 6 months ago. Active 6 months ago. Viewed 125 times 4 $begingroup$ This is my first program code ever, and it actually works. My goal is to scrape information from the website and store it in a database. It is a site that has historical data on sporting events and odds. Access the HTML of the webpage and extract useful information/data from it. This technique is called web scraping or web harvesting or web data extraction. This article discusses the steps involved in web scraping using the implementation of a Web Scraping framework of Python called Beautiful Soup. Steps involved in web scraping.

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Scrape Website Using Selenium Python

We can parse a website using Selenium and Beautiful Soup in Python. Web Scraping is a concept used to extract content from the web pages, used extensively in Data Science and metrics preparation. In Python, it is achieved with the BeautifulSoup package.

To have BeautifulSoup along with Selenium, we should run the command −

Let us scrap the below links appearing on the page −

Then investigate the html structure of the above elements −

Example

Output

Table of Contents

Web Scraping Using Selenium Python Github

In this tutorial, we first provide an overview of some foundational concepts about the World-Wide-Web. We then lay out some common approaches to web scraping and compare their usage. With this background, we introduce several applications that use the Selenium Python package to scrape websites.

This tutorial is organized into the following parts:

1. Basic concepts of the World-Wide-Web.
   
2. Comparison of some common approaches to web scraping.
   
3. Use-cases for when to use the Selenium WebDriver.
   
4. Illustration of how to find web elements using Selenium WebDriver.
   
5. Illustration of how to fill in web forms using Selenium WebDriver.

We plan to add more applications in the near future. The content of this tutorial is a work in progress, and we are happy to receive feedback! If you find anything confusing or think the guide misses important content, please email: help@iq.harvard.edu.

Custom Websites

Selenium With Python Pdf

We decided to build custom websites for many of the examples used in this tutorial instead of scraping live websites, so that we have full control over the web environment. This provides us stability —– live websites are updated more often than books, and by the time you try a scraping example, it may no longer work. Also, a custom website allows us to craft examples that illustrate specific skills and avoid distractions. Finally, the maintainers of a live website may not appreciate us using them to learn about web scraping and could try to block our scrapers. Using our own custom websites avoids these risks, however, the skills learnt in these examples can certainly still be applied to live websites.

Below I list the name and its link for each of the custom websites we have built for this tutorial:

• static student profile webpage
  
• dynamic search form webpage
  
• dynamic table webpage
  
• dynamic search load webpage
  
• dynamic complete search form webpage
  

Authors and Sources

Jinjie Liu at IQSS designed the structure of the guide and created the content. Steve Worthington at IQSS helped design the structure of the guide and edited the content. We referenced the following sources when we wrote this guide:

Web Scraping With Selenium Python

• Web Scraping with Python: Scrape data from any website with the power of Python, by Richard Lawson (ISBN: 978-1782164364)
• Web Scraping with Python: Collecting Data From the Modern Web, by Ryan Mitchell (ISBN: 978-1491910276)
• Hands-on Web Scraping with Python: Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others, by Anish Chapagain (ISBN: 978-1789533392)
• Learning Selenium Testing Tools with Python: A practical guide on automated web testing with Selenium using Python, by Unmesh Gundecha (ISBN: 978-1783983506)