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Mastering Web Scraping Using Python: From Beginner to Advanced
Delve into web scraping using Python. Explore HTML, master Requests, Beautiful Soup, Selenium, CSS Selectors, XPath, and Scrapy. Gain insights into building scalable, real-world scraping solutions.
4.6
35 Lessons
4h
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- Hands-on experience with CSS Selectors and XPath for precise data extraction
- A comprehensive understanding of the Scrapy framework and its modules
- Working knowledge of the Requests and Beautiful Soup libraries
- An understanding of dynamic web scraping techniques using Selenium
- Ability to handle various challenges and complexities encountered during web scraping
- Hands-on experience navigating through website structures to retrieve desired information
Learning Roadmap
1.
Introduction to Course Content and Web Scraping
Introduction to Course Content and Web Scraping
Get familiar with web scraping concepts, HTML essentials, browser tools, and static vs. dynamic websites.
2.
Fundamental Concepts of Web Scraping
Fundamental Concepts of Web Scraping
Get started with Requests, Beautiful Soup, challenges, CSS selectors, and JSON structures in web scraping.
3.
Dynamic Sites with Selenium
Dynamic Sites with Selenium
11 Lessons
11 Lessons
Examine using Selenium for dynamic website scraping, XPath for data navigation, and solution reviews.
4.
Scrapy Framework
Scrapy Framework
9 Lessons
9 Lessons
Break down the steps to efficiently use Scrapy for web scraping, from core modules to middleware integration.
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Developed by MAANG Engineers
ABOUT THIS COURSE
You’ll begin this course by exploring fundamental web concepts and HTML structures. You’ll then use the Requests and Beautiful Soup libraries to extract data from static web pages. Later, you’ll utilize Selenium to interact with JavaScript-driven websites and capture dynamically loaded content. Next, you’ll use CSS Selectors and XPath to pinpoint specific elements on web pages, ensuring precise and targeted data extraction. With this solid foundation, you’ll look into Scrapy, a robust web crawling and scraping framework. Finally, you’ll learn to navigate common challenges such as pagination and login forms, building scalable scraping solutions to tackle real-world projects effectively.
By the end of this course, you’ll have gained ample hands-on experience in web scraping, from crafting automated data collection systems to analyzing trends and insights. Your newfound expertise in web scraping will elevate your career prospects and unlock boundless opportunities in the data-driven world of technology.
ABOUT THE AUTHOR
Ahmed Magdy
I'm an experienced ML engineer, I have honed my skills in Python backend and its relevant ML/DL libraries through practical experience. I enjoy coding and gaming as any normal geek.
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