Skip to content Skip to sidebar Skip to footer

Modern Web Scraping with Python

Modern Web Scraping with Python


Modern Web Scraping with Python Become an expert in web scraping and web crawling using Python 3, Scrapy, Splash and Selenium 2nd EDITION (2020)


What you'll learn

  • Understand the most important components for web scraping
  • Build their own web scraping projects
  • Learn core components of two of the most powerful scraping libraries: Scrapy and BeautifulSoup
  • Build multiple hands-on projects


  • Internet Connection
  • Windows, Linux or Mac OS along with Anaconda and Spyder


Getting access to the data you need can make or break you.

This is why Fortune 500 companies like Walmart, CNN, Target, and HSBC use web scraping to get ahead and stay ahead with data.

It’s the original growth tool and one of their best-kept secrets

…And it can easily be yours too.

From data spoofing to legalities, crawling libraries, maintenance, monitoring, more, building a safe and effective web scraper is risky business but it’s a skill every data scientist needs in their toolkit.

Today, we’re building one from scratch.

Hi, my name is Jordan Sauchuk. I’m an AI & Cybersecurity Engineer and a SuperDataScience instructor. I’m here to guide you step-by-step in building custom web scrapers in Python using Selenium, Scrapy and BeautifulSoup.

Welcome to Modern Web Scraping in Python.

At the end of this course, you will understand the most important components of web scraping and be able to build your own web scrapers to obtain new data, optimize internal processes and more.

Plus, familiarize yourself with some of the most common scraping techniques and sharpen your Python programming skills while you’re at it!

  1. First, learn the essentials of web scraping, explore the framework of a website and get your local environment ready to take on scraping challenges with Scrapy, BeautifulSoup, and Selenium.
  2. Next, set up a Scrapy crawler and cover the core details that can be applied to building datasets or mining.
  3. Next, cover the basics of BeautifulSoup, utilize the requests library and LXML parser, and scale up to deploy a new scraping algorithm to scrape top product information from Amazon
  4. Fourth, set up Selenium, and deploy it to solve a practical, real-world challenge. Plus, submit your solution to obtain useful feedback from me.
  5. Finally, test your newfound skills on a cybersecurity project that involves you finding highly-sensitive data.

We’l bel coding in Python, and using the automated testing suite Selenium, the Python framework Scrapy, and library BeautifulSoup to build web scrapers that can be customized to your specific needs.

Online Course CoupoNED
Online Course CoupoNED I am very happy that there are bloggers who can help my business

Post a Comment for " Modern Web Scraping with Python"

Subscribe via Email