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Pratheerth Padman

In the Advanced Web Scraping Tactics: Python 3 Playbook course, you'll learn how to navigate and circumvent problems such as POST forms, login pages, and button inputs that frequently come up when you're trying to scrape data from websites.

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In the Advanced Web Scraping Tactics: Python 3 Playbook course, you'll learn how to navigate and circumvent problems such as POST forms, login pages, and button inputs that frequently come up when you're trying to scrape data from websites.

Scraping static, uncomplicated webpages is easy to do with Python. The going gets a little tougher though when you are confronted with things like login pages, checkboxes, and forms.

In this course, Advanced Web Scraping Tactics: Python 3 Playbook, you will take what you already know about introductory web scraping and learn advanced web scraping techniques.

First, you will learn what advanced web scraping means, followed by how to handle form submissions with the Python requests module and Selenium.

Next, you will deal with how to handle websites with login pages and cookies, and how to provide button input values such as clicking checkboxes and radio buttons.

Finally, you will use Selenium to upload files which will come in handy when you are required by websites to upload images, PDF files, and more to proceed further. When you are finished with this course, you will have the skills to navigate problems when trying to scrape data from websites.

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What's inside

Syllabus

Course Overview
Introducing Advanced Web Scraping & Handling Form Submissions
Submitting Cookies & Button Input Values to a URL
Uploading Files to a Webpage during Scraping
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores advanced web scraping and how to navigate different types of web forms, including login pages and POST forms
Provides practical hands-on experience through Python coding examples and real-world scenarios
Teaches how to interact with cookies and provide button inputs, which are crucial for advanced web scraping tasks
Empowers learners to automate complex web scraping tasks by leveraging the capabilities of Selenium
Helps learners overcome common challenges encountered in web scraping, such as navigating POST forms and handling login pages
Provides a solid foundation for intermediate web scraping, enabling learners to extract data from complex websites

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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 Advanced Web Scraping Tactics: Python 3 Playbook with these activities:
Read 'Web Scraping with Python' by Ryan Mitchell
This book provides a comprehensive overview of web scraping with Python, covering techniques for handling forms, cookies, and other challenges.
Show steps
  • Review the chapters on advanced web scraping techniques
Explore Selenium tutorials and documentation
Gain a deeper understanding of Selenium by exploring its tutorials and documentation, which will enable you to leverage its capabilities effectively.
Browse courses on Selenium
Show steps
  • Read the official Selenium documentation
  • Follow online tutorials to practice using Selenium
Solve real world web scraping problems
Performing web scraping on various websites will provide hands-on experience and help solidify your understanding of web scraping techniques.
Show steps
  • Identify real websites that you can scrape data from
  • Use Python web scraping libraries to scrape data
  • Handle different types of websites and inputs
Show all three activities

Career center

Learners who complete Advanced Web Scraping Tactics: Python 3 Playbook will develop knowledge and skills that may be useful to these careers:
Web Applications Developer
Web Applications Developers design, develop, and maintain web applications. With this course's lessons on advanced web scraping, you can build proficiency in properly navigating and skillfully handling web scraping tasks that may come up on the job. These tasks may include logging into websites, filling out forms, and uploading files. You will learn how to use Python to automate these tasks and solve common web scraping challenges. With these skills, you may enhance your abilities for a career as a Web Applications Developer.
Data Analyst
Data Analysts collect, clean, analyze, and interpret data to help organizations make better decisions. This course helps you build skills in navigating advanced web scraping challenges, such as handling POST forms, login pages, and button inputs. These skills can be useful when gathering data from websites for analysis.
Data Engineer
Data Engineers design, build, and maintain data management systems. This course teaches you how to handle advanced web scraping challenges, such as POST forms, login pages, and button inputs, which can be useful when extracting data from websites for storage and analysis.
Software Engineer
Software Engineers apply engineering principles to the design, development, and maintenance of software systems. This course can help you build skills in handling advanced web scraping challenges, such as POST forms, login pages, and button inputs, which can be useful when developing software that interacts with websites.
Web Developer
Web Developers design, develop, and maintain websites. This course teaches you how to handle advanced web scraping challenges, such as POST forms, login pages, and button inputs, which can be useful when developing websites that interact with other websites or web services.
Full-Stack Developer
Full Stack Developers have skills in both front-end and back-end development. This course can help you build skills in handling advanced web scraping challenges, such as POST forms, login pages, and button inputs, which can be useful when developing full-stack web applications that interact with databases and other web services.
Information Security Analyst
Information Security Analysts plan and implement security measures to protect an organization's information systems. This course teaches you how to handle advanced web scraping challenges, such as POST forms, login pages, and button inputs, which can be useful when gathering data from websites for security analysis.
Data Scientist
Data Scientists use scientific methods to extract knowledge and insights from data. This course can help you build skills in handling advanced web scraping challenges, such as POST forms, login pages, and button inputs, which can be useful when gathering data from websites for analysis and modeling.
Web Crawler
Web Crawlers crawl the web to gather data. This course teaches you how to handle advanced web scraping challenges, such as POST forms, login pages, and button inputs, which can be useful for building web crawlers and search engines.
Web Scraper
Web Scrapers extract data from websites. This course teaches you how to handle advanced web scraping challenges, such as POST forms, login pages, and button inputs, which can be useful for building web scraping tools and applications.
Data Mining Analyst
Data Mining Analysts use data mining techniques to extract knowledge and insights from data. This course can help you build skills in handling advanced web scraping challenges, such as POST forms, login pages, and button inputs, which can be useful when gathering data from websites for analysis and modeling.
Information Technology Technical Consultant
Information Technology Technical Consultants provide guidance on the use of information technology to organizations.
Web Administrator
Web Administrators manage websites and web servers.
Software Developer
Software Developers design, develop, and maintain software systems.
Network Engineer
Network Engineers design, build, and maintain computer networks.

Reading list

We've selected nine 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 Advanced Web Scraping Tactics: Python 3 Playbook.
A practical introduction to Python for automating tasks and scripting. Provides a solid foundation for web scraping.
Provides a comprehensive overview of data analysis and processing in Python. Useful for understanding how to handle and analyze scraped data.
A well-structured introduction to JavaScript, which is essential for handling dynamic website content during web scraping.
Provides a comprehensive introduction to machine learning, which is helpful for understanding and applying machine learning techniques in web scraping.
Introduces Apache Spark, a powerful framework for distributed data processing and machine learning. Can be useful for handling large datasets encountered in web scraping.
Provides a comprehensive overview of Python for data science. Can serve as a reference for understanding data analysis and visualization concepts relevant to web scraping.
A beginner-friendly introduction to machine learning, suitable for those who want to explore machine learning applications in web scraping.

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