readme.md

![web scraping with python](https://github.com/rajat4665/web-scraping-with-python/blob/master/WEB%20SCRAPING.jpg)
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<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>
<h3>Install required dependencies :</h3>
<ul>
	<li>clone or download it from <a href="https://github.com/rajat4665/web-scraping-with-python" target="_blank" rel="noopener">here</a></li>
	<li>install requirements.txt file</li>
	<li><code>pip install -r requirements.txt</code></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>
	<li> CLI scraping tool is underdevelopment only beta version  is available now </li>
</ul>
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<h1>HAPPY CODING</h1>