<?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 Ghafoor's Personal Blog</title><link>http://ghafoorsblog.com/tags/beautifulsoup/</link><description>Recent content in Beautifulsoup on Ghafoor's Personal Blog</description><generator>Hugo</generator><language>en</language><managingEditor>noreply@example.com (AG Sayyed)</managingEditor><webMaster>noreply@example.com (AG Sayyed)</webMaster><copyright>Copyright © 2024-2026 AG Sayyed. All Rights Reserved.</copyright><lastBuildDate>Sat, 16 May 2026 17:42:12 +0100</lastBuildDate><atom:link href="http://ghafoorsblog.com/tags/beautifulsoup/index.xml" rel="self" type="application/rss+xml"/><item><title>Web Scraping</title><link>http://ghafoorsblog.com/courses/ibm/fullstack-content/fullstack-pcert/07-python-datascience/05-module/004-web-scrapping/</link><pubDate>Thu, 24 Jul 2025 20:36:23 +0000</pubDate><author>noreply@example.com (AG Sayyed)</author><guid>http://ghafoorsblog.com/courses/ibm/fullstack-content/fullstack-pcert/07-python-datascience/05-module/004-web-scrapping/</guid><description>&lt;p class="lead text-primary"&gt;
This document provides a practical guide to web scraping with Python. It covers sending HTTP requests, parsing HTML, extracting structured data, and using libraries like requests, BeautifulSoup, and pandas. Readers will learn how to automate data collection and follow ethical scraping practices.
&lt;/p&gt;
&lt;hr&gt;
&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;Web scraping is the process of programmatically extracting information from websites. It is widely used for data collection, price monitoring, content aggregation, and research. Python offers powerful libraries for web scraping, enabling efficient and automated data extraction from web pages.&lt;/p&gt;</description></item></channel></rss>