How to Scrape a Website with Python in 10 Minutes

Introduction Web scraping is one of those skills that sounds complicated but is surprisingly easy to pick up in Python. In this tutorial, I'll show you how to scrape real data from a website in under 10 minutes using two popular libraries: Requests and BeautifulSoup . By the end, you'll have a working scraper that pulls data from a webpage and saves it in a format you can actually use. What is Web Scraping? Web scraping is the process of automatically extracting data from websites. Instead of manually copying information, you write a script that does it for you — instantly, at scale. Common use cases: Collecting product prices for comparison Gathering news headlines Building datasets for research or machine learning Monitoring job listings What we'll Need Python 3.7+ Basic Python knowledge (loops, lists, print statements) Terminal / command prompt Step 1: Install the Libraries Open your terminal and install the two libraries we'll use: pip install requests beautifulsoup4 Requests — fet