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+![web scraping with python](https://github.com/rajat4665/web-scraping-with-python/blob/master/WEB%20SCRAPING.jpg)
+<br>
+<span style="text-decoration: underline;"><strong>Introduction:</strong></span>
+
+<b>Web scraping</b>, <b>web harvesting</b>, or <b>web data extraction</b> is data scraping used for extracting data from websites using its HTML structure, In this post, I will explain basic fundaments of web scraping using python and also explore it by a live demonstration with two python libraries Beautifulsoup and requests respectively.
+
+<span style="text-decoration: underline;"><strong>What you will learn from this post:</strong></span>
+<ul>
+	<li>basic understanding of web scraping</li>
+	<li>how to extract data from a website using classes and HTML tags</li>
+	<li>how to use requests module to get data</li>
+	<li>how to use Beautifulsoup</li>
+</ul>
+<span style="text-decoration: underline;"><strong>Requirements:</strong></span>
+<ul>
+	<li>python3</li>
+	<li>requests</li>
+	<li>bs4</li>
+</ul>
+<span style="text-decoration: underline;"><strong>Installation:</strong></span>
+<ul>
+	<li>sudo apt-get python3-pip</li>
+	<li>pip3 install requests</li>
+	<li>pip3 install bs4</li>
+</ul>
+
+<h2> How to run this code</h2>
+<ul>
+	<li>there are two source code files, one is .py extention and another is .ipynb extention</li>
+	<li>one can run Scraping with BeautifulSoup.py file in python by run this cammand in terminal "python3 Web Scraping with BeautifulSoup.py"</li>
+	<li>one can run Scraping with BeautifulSoup.ipynb file in jupyter notebook /li>
+	<li>one can install juypyter notebook by this command "pip3 install jupyter"</li>
+</ul>