Introduction:

Web scraping, web harvesting, or web data extraction 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.

What you will learn from this post:

• basic understanding of web scraping
• how to extract data from a website using classes and HTML tags
• how to use requests module to get data
• how to use Beautifulsoup

Requirements:

• python3
• requests
• bs4

Install required dependencies :

• clone or download it from here
• install requirements.txt file
• pip install -r requirements.txt

How to run this code

• there are two source code files, one is .py extention and another is .ipynb extention
• one can run Scraping with BeautifulSoup.py file in python by run this cammand in terminal "python3 Web Scraping with BeautifulSoup.py"
• one can run Scraping with BeautifulSoup.ipynb file in jupyter notebook /li>
• one can install juypyter notebook by this command "pip3 install jupyter"
• CLI scraping tool is underdevelopment only beta version is available now

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HAPPY CODING