Getting access to the data that you need can make or break you.
That's why some of the top Fortune 500 companies such as Wal-Mart, Target, HSBC and CNN 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 years to from data spoofing to web crawling libraries to maintenance and monitoring
and more building.
A safe and effective web scraper is risky business, but it's a skill set that every data scientist
needs in their toolkit.
And today we're building one from scratch.
Hi, my name is Jordan Sawchuk and I'm an A.I. and cybersecurity engineer and instructor with super
data centers.
I'm here to guide you step by step in creating custom web scrapers in Python using scrapie beautiful
soup and Solenni.
Welcome to Modern Weatherstripping in Python.
At the end of this course you understand some of the most important web scraping components.
You'll know how to build your own web scrapers to obtain new data, optimize internal processes and
more.
Plus, familiarize yourself with some of the most common weatherstripping techniques and sharpen your
python skills while you're at it.
First, learn the essentials of webspace, explore the framework of a website, and get your local environment
set up to take on practical challenges with scrapie.
Beautiful suit.
And Solenni next set up a scrapie crawler that can cover the core details to be applied to building
data sets.
For my next cover, the basics of Beautiful Soup, the request library and the XML parser to deploy
and scale up a new scraping algorithm to retrieve top product information from Amazon.
Fourth set of selenium to deploy it and solve a real world practical challenge.
Plus, submit your solution to obtain useful feedback for me.
Finally, test your newfound skills on a cybersecurity related project that involves you finding highly
sensitive data.
We will be coding in Python using the automating testing suites, learning the Python scrapie framework,
the library, beautiful soup and we'll be building web scrapers that can be customized to fit your specific
needs.
But a thorough walk through from me isn't all you're getting.
Access are student forums where you can interact with me and your fellow students, ask me questions,
received input from fellow students and become inspired by the clever scraping solutions from your fellow
classmates.
Whether you're a data scientist or an engineer looking to obtain new data sources, a web developer
looking to automate tasks, or a general data bubble with an interest in data science for web scraping,
this course delivers an in-depth presentation of web scraping basics and methodologies that you can
easily apply to your own projects or out there in the real world of business.
Join me now and let's start scraping the web together.