Overview
Learn web scraping in Python using the Requests-HTML library in this comprehensive tutorial. Discover how to parse HTML code, extract specific information from websites, and automate data collection from news sites, sports websites, or online stores. Follow along as the instructor demonstrates the library's capabilities, explains HTML structure, and guides you through parsing HTML, retrieving content from websites, and handling dynamic text. Master techniques for extracting video information, creating YouTube links, and managing missing data with try-except blocks. Gain practical skills in saving scraped data to CSV files and explore the nuances of rendering dynamic content. By the end of this tutorial, you'll be equipped with the knowledge to efficiently scrape websites and extract valuable data using Python and Requests-HTML.
Syllabus
Introduction
Demo
HTML Structure
Parse HTML
Get HTML from Website
Print HTML
Find Video
Parse URL
Create YouTube link
Missing data
Try except block
Save to CSV file
Create CSV file
Dynamic Text
Rendering
Testing
Taught by
Corey Schafer