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.

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Dockerfile.tar.gz

GUI Selenium

Scrapy

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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.

Mastering Web Scraping Using Python: From Beginner to Advanced

Utilize Selenium to scrape the history of important market indices from Yahoo.

Introduction to Course Content and Web Scraping

Fundamental Concepts of Web Scraping

Dynamic Sites with Selenium

Assessment: Python Scraping

Scrapy Framework

Scraping Educative’s Courses Information

Wrap Up

Challenges: Scrape Top Indices Data from Yahoo Finance

Problem statement