<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>BeautifulSoup on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/beautifulsoup/</link><description>Recent content in BeautifulSoup on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 03 Dec 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/beautifulsoup/index.xml" rel="self" type="application/rss+xml"/><item><title>Project: Simple Web Scraper with Requests and Beautiful Soup</title><link>https://ai-blog.noorshomelab.dev/python-mastery-2025/chapter-16-project-simple-web-scraper/</link><pubDate>Wed, 03 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/python-mastery-2025/chapter-16-project-simple-web-scraper/</guid><description>&lt;h2 id="welcome-to-chapter-16-project-simple-web-scraper"&gt;Welcome to Chapter 16: Project: Simple Web Scraper!&lt;/h2&gt;
&lt;p&gt;Hello, coding adventurers! Are you ready to dive into a super practical and incredibly fun project? In this chapter, we&amp;rsquo;re going to build our very first web scraper! This means we&amp;rsquo;ll write a Python program that can visit a website, read its content (just like you do), and then extract specific pieces of information we&amp;rsquo;re interested in.&lt;/p&gt;
&lt;p&gt;This skill is incredibly powerful. Imagine needing to collect data from many web pages, track prices, or monitor news headlines – web scraping allows your Python programs to do this automatically! We&amp;rsquo;ll be using two fantastic Python libraries: &lt;code&gt;requests&lt;/code&gt; to fetch the web page content and &lt;code&gt;Beautiful Soup&lt;/code&gt; to elegantly parse and navigate the HTML.&lt;/p&gt;</description></item></channel></rss>