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1
Introduction
2
Demo
3
HTML Structure
4
Parse HTML
5
Get HTML from Website
6
Print HTML
7
Find Video
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Parse URL
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Create YouTube link
10
Missing data
11
Try except block
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Save to CSV file
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Create CSV file
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Dynamic Text
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Rendering
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Testing
Description:
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.

Python Tutorial - Web Scraping with Requests-HTML

Corey Schafer
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