Python Web Scraping Tutorial for Beginners | Extract Website Data using Python

In this video, we learn how to extract data from a website using Python. This process is called web scraping and is widely used in AI, data science, machine learning, and automation projects.

We use the requests library to download webpage content and BeautifulSoup to parse HTML and extract useful information.

This example demonstrates how Python can automatically collect quotes from a website in seconds.

Web scraping is commonly used for:
• collecting AI datasets
• price monitoring
• news aggregation
• competitor research
• job data extraction
• automation projects

This tutorial is beginner friendly and shows a real-world Python example.

Libraries used:
requests
beautifulsoup4

Install dependencies:
pip install requests beautifulsoup4

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