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Pratheerth Padman

Go from saying hello to Selenium to combining it with Python and Beautiful Soup to extract information from a dynamic web page. Master WebDriver navigation, user activity recording, and more while creating a real estate web scraper in this course.

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Go from saying hello to Selenium to combining it with Python and Beautiful Soup to extract information from a dynamic web page. Master WebDriver navigation, user activity recording, and more while creating a real estate web scraper in this course.

There are many ways to collect data, one of which is extracting the tons of data swimming around in the form of websites. However, gathering and analyzing data from dynamic websites can be frustrating, especially when essential information is only available after interacting with web elements. In this course, Scraping Dynamic Web Pages with Python 3 and Selenium, you'll gain the ability to efficiently extract data from dynamically-rendered web pages. First, you'll explore how to understand and navigate dynamic web pages using Selenium WebDriver, as well as how to record, replay, and customize user activity sessions to interact with web elements effectively. Next, you'll discover how to manage wait times, locate elements, and navigate complex web pages with various types of selectors. Then, you'll dive into parsing HTML using Beautiful Soup and applying best practices for web scraping. Finally, you'll learn how to implement a real estate property scraper project, putting all the acquired skills into practice. When you're finished with this course, you'll have the skills and knowledge of web scraping with Python and Selenium needed to efficiently extract valuable data from dynamically-rendered web pages.

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What's inside

Syllabus

Course Overview
Mastering Dynamic Web Navigation
Automating and Customizing User Interactions
Locating, Navigating, and Engaging Web Elements
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Tackling Wait Times and Web Elements - 25 min
Unleashing the Power of HTML Parsing and Scraping

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Builds a solid foundation in web scraping principles and techniques
Teaches data extraction from dynamic web pages using Python and Selenium
Covers best practices for web scraping using Python and Selenium
Provides hands-on experience through a real estate web scraping project

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Scraping Dynamic Web Pages with Python 3 and Selenium with these activities:
Review Python Basics
Refresh your knowledge of basic Python concepts to prepare for the upcoming lessons in Selenium and Beautiful Soup.
Browse courses on Python
Show steps
  • Review the basics of variables, data types, and operators in Python.
  • Work through a simple Python coding exercise to test your understanding.
Selenium WebDriver Tutorial
Gain a foundational understanding of Selenium WebDriver by following a comprehensive tutorial.
Show steps
  • Watch a video tutorial on the basics of Selenium WebDriver.
  • Follow along with a step-by-step guide to create a simple Selenium WebDriver script.
Study Group Discussions
Engage with your peers in regular study group discussions to discuss concepts, share experiences, and reinforce your learning.
Show steps
  • Join or create a study group with other students enrolled in the course.
  • Meet regularly to discuss assigned readings, work through assignments, and engage in Q&A sessions.
Three other activities
Expand to see all activities and additional details
Show all six activities
Web Scraping Blog Post
Share your knowledge by writing a blog post on web scraping best practices.
Show steps
  • Choose a specific aspect of web scraping to write about, such as selecting the right tools or optimizing performance.
  • Conduct research and gather relevant information.
  • Write a comprehensive and informative blog post.
  • Publish your blog post on a relevant platform.
Web Scraping Exercises
Develop your web scraping skills through hands-on exercises.
Show steps
  • Write Python scripts to extract specific data from different websites.
  • Test your scripts on various web pages to ensure their effectiveness.
Selenium Workshop
Enhance your Selenium skills by attending a specialized workshop.
Show steps
  • Register for a Selenium workshop conducted by an expert instructor.
  • Participate actively in the workshop to gain practical experience and learn advanced techniques.

Career center

Learners who complete Scraping Dynamic Web Pages with Python 3 and Selenium will develop knowledge and skills that may be useful to these careers:
Web Scraper Engineer
Web Scraper Engineers write code to scrape and extract information from websites. They use their knowledge of HTML parsing and other web technologies to gather data and perform analysis. This course would be helpful in developing the skills necessary to succeed in this role, as it covers topics such as how to navigate and interact with web pages using Selenium and BeautifulSoup. These skills would be essential for a Web Scraper Engineer who needs to be able to effectively extract data from websites.
Web Developer
Web Developers design and develop websites. They use their knowledge of HTML, CSS, and JavaScript to create websites that are both visually appealing and functional. This course may be helpful in understanding how to interact with web pages using Selenium and BeautifulSoup. These skills would be beneficial for a Web Developer who needs to be able to develop websites that interact with web applications.
Data Scientist
Data Scientists use their knowledge of mathematics, statistics, and data analysis techniques to extract valuable insights from data. They use their skills to help businesses make informed decisions. This course may be helpful in understanding how to collect and extract data from websites. This skill would be beneficial for a Data Scientist who needs to be able to gather data from a variety of sources.
Software Engineer
Software Engineers design, develop, and maintain software applications. They use their knowledge of programming languages and software development tools to create software solutions for businesses. This course may be helpful in understanding how to interact with web pages using Selenium and BeautifulSoup. These skills would be beneficial for a Software Engineer who needs to be able to develop software that interacts with web applications.
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. They use their skills to help businesses make informed decisions. This course may be helpful in understanding how to collect and extract data from websites. This skill would be beneficial for a Data Analyst who needs to be able to gather data from a variety of sources.
Financial Analyst
Financial Analysts use their knowledge of financial markets and investment principles to help businesses make informed investment decisions. This course may be helpful in understanding how to collect and extract data from websites. This skill would be beneficial for a Financial Analyst who needs to be able to gather data from a variety of sources.
Business Analyst
Business Analysts help businesses identify and solve problems. They use their knowledge of business processes, data analysis, and problem-solving techniques to help businesses improve their operations. This course may be helpful in understanding how to collect and extract data from websites. This skill would be beneficial for a Business Analyst who needs to be able to gather data from a variety of sources.
Information Security Analyst
Information Security Analysts are responsible for protecting an organization's computer systems and networks from cyber threats. They use their knowledge of security technologies and best practices to identify and mitigate security risks. This course may be helpful in understanding how to interact with web pages using Selenium and BeautifulSoup. These skills would be beneficial for an Information Security Analyst who needs to be able to identify and exploit vulnerabilities in web applications.
Marketing Analyst
Marketing Analysts use their knowledge of marketing principles and data analysis techniques to help businesses develop and implement effective marketing campaigns. This course may be helpful in understanding how to collect and extract data from websites. This skill would be beneficial for a Marketing Analyst who needs to be able to gather data from a variety of sources.
Product Manager
Product Managers are responsible for the planning, development, and launch of new products. They use their knowledge of market research, customer needs, and product development to create products that meet the needs of customers. This course may be helpful in understanding how to collect and extract data from websites. This skill would be beneficial for a Product Manager who needs to be able to gather data from a variety of sources.
Data Miner
Data Miners use their knowledge of data mining techniques to extract valuable insights from data. They use their skills to help businesses identify trends and patterns in their data. This course may be helpful in understanding how to collect and extract data from websites. This skill would be beneficial for a Data Miner who needs to be able to gather data from a variety of sources.
User Experience Designer
User Experience Designers are responsible for designing and developing user interfaces for websites and applications. They use their knowledge of human-computer interaction and design principles to create user interfaces that are both user-friendly and visually appealing. This course may be helpful in understanding how to interact with web pages using Selenium and BeautifulSoup. These skills would be beneficial for a User Experience Designer who needs to be able to evaluate the usability of web pages.
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They use their knowledge of project management principles and tools to ensure that projects are completed on time, within budget, and to the required quality standards. This course may be helpful in understanding how to collect and extract data from websites. This skill would be beneficial for a Project Manager who needs to be able to gather data from a variety of sources.
Customer Success Manager
Customer Success Managers are responsible for helping customers achieve success with their products or services. They use their knowledge of customer relationship management principles and techniques to build relationships with customers and help them solve problems. This course may be helpful in understanding how to collect and extract data from websites. This skill would be beneficial for a Customer Success Manager who needs to be able to gather data from a variety of sources.
Technical Writer
Technical Writers create and maintain documentation for software and hardware products. They use their knowledge of technical writing principles and tools to create documentation that is both informative and easy to understand. This course may be helpful in understanding how to write clear and concise technical documentation. This skill would be beneficial for a Technical Writer who needs to be able to document the functionality of web pages.

Reading list

We've selected 15 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Scraping Dynamic Web Pages with Python 3 and Selenium.
Extend your web scraping skills with Python and BeautifulSoup4. will help you gather data from websites effectively.
Gain a solid foundation in Python programming. It will be helpful for automating tasks, writing scripts, and building simple programs.
Provides a comprehensive introduction to Python for data analysis, covering topics such as data manipulation, visualization, and statistical modeling. It valuable resource for learners looking to enhance their Python skills for web scraping and data analysis tasks.
Provides a comprehensive overview of data mining for business intelligence, covering concepts, techniques, and case studies. It offers a deeper understanding of data mining principles and their application in extracting valuable insights from web data.
While this book does not focus specifically on web scraping, it provides a solid foundation in data mining and data analysis, which are essential concepts for understanding and processing the data extracted from web pages.
Offers a practical introduction to machine learning with Python, covering topics such as supervised and unsupervised learning, model evaluation, and feature engineering. It can enhance the understanding of data analysis and modeling techniques applicable to web scraping projects.
While not directly related to web scraping, this book provides a solid foundation in statistical learning and modeling, which are valuable skills for analyzing and interpreting the data extracted from web pages.
Provides a comprehensive overview of designing and building data-intensive applications. While not directly focused on web scraping, it offers valuable insights into data storage, processing, and analysis techniques applicable to large-scale web scraping projects.
While not specifically focused on web scraping, this book provides a comprehensive introduction to natural language processing (NLP) with Python. NLP techniques can be valuable for processing and analyzing textual data extracted from web pages.
is an excellent starting point for those looking to use BeautifulSoup for web scraping. It covers the essential tasks in detail.
covers much more than web scraping, but it serves as a great introduction to Python programming for beginners.
While this book is not directly related to web scraping, it provides a thorough foundation in JavaScript, which can be useful for understanding web page behavior.
For those new to Python programming, this book provides a solid foundation in the fundamentals of Python, including data structures and algorithms.

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