Data scraping is the technique of extracting data from the Internet. The course Data Scraping and Data Mining from Beginner to Professional is crafted to cover topics that result in the development of the most in-demand skills in the workplace. These topics will help you understand the concepts and methodologies with regard to Python. The course is easy to understand, imaginative and descriptive, comprehensive, practical with live coding, full of quizzes with solutions, rich with state-of-the-art and updated knowledge of this field.
This course is designed for beginners. We’ll spend sufficient time on the fundamentals. Then, we will gradually go far deep with a lot of practical implementations where every step will be explained in detail.
As this course is essentially a compilation of all the basics, you will move ahead at a steady rate. You will experience more than what you have learned. Most of these activities are designed to get you up and running with implementations.
The four hands-on projects included are the most important part of this course. These projects allow you to experiment for yourself with trial and error. You will learn from your mistakes. Importantly, you will understand the potential gaps that may exist between theory and practice.
Code bundles are available here: https://github.com/PacktPublishing/Data-Scraping-and-Data-Mining-from-B…
Understand the difference between synchronous and asynchronous requests
Apply BS4 for parsing the response data from the server
Explore the different tools that are used for data scraping; namely, Requests, BS4, Scrapy, Selenium
Understand BS4 parser functions for getting the data out of the HTML
Learn to use Scrapy to write the spiders for crawling websites and extracting data
Learn to use Selenium to understand the automation and control of web flows
It is also useful for data scientists, machine learning experts, drop shippers who are interested in learning data scraping along with its implementation in realistic projects.