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Justin Mitchel

Web scraping is simply automatically opening up any website and grabbing the data you find important on that website. It's fundamental to the internet, search engines, Data Science, automation, machine learning, and much more.

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Web scraping is simply automatically opening up any website and grabbing the data you find important on that website. It's fundamental to the internet, search engines, Data Science, automation, machine learning, and much more.

Opening websites and extracting data are only part of what makes web scraping great. It's the parsing of the data that's where the value is.

This project will cover:

  • Basic web scraping with Python

  • Web scraping with Selenium

  • Sync vs Async

  • Asynchronous Web scraping with Asyncio

But why asynchronous code? What is it? How does it benefit us?

Asynchrounous code is a way to execute multiple functions basically at once. It's not actually at the exact same time but it's close. (They actually run concurrently). This means that we can do more things in less time and, when it comes to mining or scraping data, this time saving is absolutely significant.

Imagine for a moment you're recreating google's search engine. You'd have to scrape trillions (if not more) web pages on a regular interval to help with the search results. Of course you're not going to be scraping all of the trillions of pages at once but the idea is that scraping event 1,000 pages would take a very long time doing it synchronously (like using Python requests and/or just selenium).

If you've done a lot of web scraping before but never used Python's aysncio, this course will help you better understand the fundamentals and bring your scraping game to another level.

Let's get started.

Enroll now

What's inside

Learning objectives

  • Basic web scraping with python
  • Web scraping with selenium & python
  • Javascript-heavy website scraping
  • Asynchronous web scraping with asyncio

Syllabus

Welcome
Project Demo
Requirements
Fundamentals
Read more
Sync vs Async
Blocking & Timeouts
Scraping with Selenium
Async Web Scraping with chrome driver and arsenic
Hide Arsenic logs
Extraction & Formatting
Async Data with Python Pandas
Prepare to Scrape Multiple URLs
Extract Product Data
Async Product Data Extraction
Prepare for Re-usability
Modules & Submodules
Service Specific Submodule
Decouple Logging & Scraper
Storing Data
Synchronous SQL Storage with Pandas
Store Scrapped Data to SQL Tables
Inspect Stored Data in Jupyter
Scraping URLS from Stored Links Table
Scrape Paginated List View
Results & Timing
Thank you and next steps
Thank you & next steps

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches the basics of web scraping, equipping learners with a foundational understanding
Covers advanced techniques like JavaScript-heavy website scraping and asynchronous web scraping with Asyncio, catering to experienced learners
Led by Justin Mitchel, a recognized instructor in the field of web scraping
Emphasizes practical application through hands-on labs and interactive materials, enhancing the learning experience
Provides a strong foundation for learners interested in data science, automation, and machine learning
May require prior knowledge of Python for optimal learning

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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 Supercharged Web Scraping with Asyncio and Python with these activities:
Review linked lists
Refreshes knowledge on data structures like linked lists, a fundamental concept in web scraping.
Browse courses on Linked Lists
Show steps
  • Go over notes or tutorials on linked lists
  • Practice implementing linked lists in code
Data Science Meetup
Facilitates connections with professionals in the field, allowing students to learn about industry trends and career opportunities in web scraping.
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Show steps
  • Attend a data science meetup
  • Network with professionals
Web scraping exercises
Provides hands-on experience in web scraping, reinforcing techniques and concepts covered in the course.
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Show steps
  • Find websites to practice scraping
  • Extract data from the websites using Python
  • Parse and store the extracted data
Four other activities
Expand to see all activities and additional details
Show all seven activities
Selenium WebDriver Tutorial
Enhances understanding of web scraping with Selenium, covering best practices and advanced techniques.
Browse courses on Selenium
Show steps
  • Follow a Selenium WebDriver tutorial
  • Apply Selenium to scrape dynamic web pages
Web Scraping Workshop
Provides an opportunity to interact with experts and peers, exchange ideas, and get hands-on experience in web scraping.
Browse courses on Web Scraping
Show steps
  • Attend a web scraping workshop
  • Participate in discussions and exercises
Web Scraping Blog Post
Solidifies learning by requiring the student to explain web scraping concepts and their applications.
Browse courses on Web Scraping
Show steps
  • Choose a web scraping topic
  • Research and gather information
  • Write the blog post
Web Scraping Project
Tests web scraping skills by requiring the student to complete a comprehensive project involving data extraction and analysis.
Browse courses on Web Scraping
Show steps
  • Define the project scope and goals
  • Design and implement the web scraping solution
  • Analyze and interpret the scraped data

Career center

Learners who complete Supercharged Web Scraping with Asyncio and Python will develop knowledge and skills that may be useful to these careers:
Web Scraper
Web Scrapers develop and use software to extract data from websites. They work in a variety of industries, including finance, healthcare, and technology. This course can help you develop the skills you need to become a Web Scraper by teaching you how to scrape data from the web, parse it, and use it to build applications. Those who wish to make a career out of web scraping should take this course.
Data Scientist
Data Scientists use their knowledge of programming, statistics, and machine learning to extract insights from data. They work in a variety of industries, including finance, healthcare, and retail. This course can help you develop the skills you need to become a Data Scientist by teaching you how to scrape data from the web, parse it, and analyze it. This course may also be helpful for those who wish to transition into data analytics.
Software Developer
Software Developers design, develop, and maintain computer applications. They work in a variety of industries, including finance, healthcare, and technology. This course can help you develop the skills you need to become a Software Developer by teaching you how to scrape data from the web, parse it, and use it to build applications. Those who wish to build applications that utilize web scraping should take this course.
Web Developer
Web Developers design and develop websites. They work in a variety of industries, including finance, healthcare, and technology. This course can help you develop the skills you need to become a Web Developer by teaching you how to scrape data from the web, parse it, and use it to build websites. Those who wish to develop web-scraping applications should take this course.
Data Engineer
Data Engineers design, build, and maintain the infrastructure that stores and processes data. They work in a variety of industries, including finance, healthcare, and technology. This course can help you develop the skills you need to become a Data Engineer by teaching you how to scrape data from the web, parse it, and store it in a database. Those who wish to combine web scraping with data engineering should take this course.
Data Analyst
Data Analysts use their knowledge of data to help businesses make better decisions. They work in a variety of industries, including finance, healthcare, and retail. This course can help you develop the skills you need to become a Data Analyst by teaching you how to scrape data from the web, parse it, and analyze it. This course will be useful for those who wish to become involved in data collection in their role as Data Analyst.
Market Researcher
Market Researchers collect and analyze data about markets and consumers. They work in a variety of industries, including finance, healthcare, and retail. This course can help you develop the skills you need to become a Market Researcher by teaching you how to scrape data from the web, parse it, and analyze it. This course is especially relevant for those who may need to search for or collect market data.
Business Analyst
Business Analysts use their knowledge of business and technology to help businesses make better decisions. They work in a variety of industries, including finance, healthcare, and retail. This course can help you develop the skills you need to become a Business Analyst by teaching you how to scrape data from the web, parse it, and analyze it.
Database Administrator
Database Administrators design, build, and maintain databases. They work in a variety of industries, including finance, healthcare, and technology. This course can help you develop the skills you need to become a Database Administrator by teaching you how to scrape data from the web, parse it, and store it in a database.
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. They work in a variety of industries, including finance, healthcare, and technology. This course can help you develop the skills you need to become an Information Security Analyst by teaching you how to scrape data from the web, parse it, and analyze it. Those who wish to use web scraping for security purposes should take this course.
Computer Systems Analyst
Computer Systems Analysts design, develop, and maintain computer systems. They work in a variety of industries, including finance, healthcare, and technology. This course can help you develop the skills you need to become a Computer Systems Analyst by teaching you how to scrape data from the web, parse it, and use it to build applications.
Technical Writer
Technical Writers create documentation for computer systems and software. They work in a variety of industries, including finance, healthcare, and technology. This course can help you develop the skills you need to become a Technical Writer by teaching you how to scrape data from the web, parse it, and write clear and concise documentation.
User Researcher
User Researchers conduct research on users to help businesses design better products and services. They work in a variety of industries, including finance, healthcare, and technology. This course can help you develop the skills you need to become a User Researcher by teaching you how to scrape data from the web, parse it, and analyze it.
UX Designer
UX Designers design user interfaces for websites and applications. They work in a variety of industries, including finance, healthcare, and technology. This course can help you develop the skills you need to become a UX Designer by teaching you how to scrape data from the web, parse it, and analyze it. Those who wish to utilize web scraping in their UX design work should take this course.
Project Manager
Project Managers plan and execute projects. They work in a variety of industries, including finance, healthcare, and technology. This course can help you develop the skills you need to become a Project Manager by teaching you how to scrape data from the web, parse it, and analyze it.

Reading list

We've selected 11 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 Supercharged Web Scraping with Asyncio and Python.
Provides a comprehensive overview of web scraping techniques and tools, including a detailed explanation of asyncio and how it can be used to improve the efficiency of web scraping tasks. It also covers advanced topics such as scraping JavaScript-heavy websites.
Provides a comprehensive guide to web scraping, including a section on using asyncio for scraping JavaScript-heavy websites.
This online documentation provides a comprehensive reference for Beautiful Soup, a popular Python library for parsing HTML and XML documents. It covers all aspects of the library, from basic usage to advanced techniques.
Provides a comprehensive overview of web scraping with R, including how to use libraries like rvest and httr. It valuable resource for anyone who wants to learn more about web scraping with R.
Provides a comprehensive guide to data science using Python, including a section on web scraping.
Provides a comprehensive guide to machine learning using Python, including a section on web scraping.
Provides a comprehensive overview of data extraction with Java, including how to use libraries like Jsoup and HtmlUnit. It valuable resource for anyone who wants to learn more about data extraction with Java.

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