In today’s world where there are lot of websites available,analysing the data in them becomes difficult without an efficient method.Here is where web scrapping comes into play.
In today’s world where there are lot of websites available,analysing the data in them becomes difficult without an efficient method.Here is where web scrapping comes into play.Web scraping is the process that automates the extraction of data from websites in fast and efficient manner.Among the various python libraries available for web scraping,BeautifulSoup is one among them.
BeautifulSoup is a library for parsing HTML and XML documents creating a parse tree thus allowing us to extract and analyse data.
Installing Beautiful Soup
Beautifulsoup can be installed using BeautifulSoup installed using the Python package manager pip.
pip install BeautifulSoup4
It can also be installed using the anaconda package manager.
conda install beautifulsoup4
Let’s look at an example of scrapping wikipedia that extracts the names of the states in India
To access the HTML content of a webpage,
1.Import python’s requests and BeautifulSoup libraries
2.Provide the website url needed for scraping
3.Get the HTML data by performing a HTTP request to the specified URL and store the response in an object
from bs4 import BeautifulSoup import requests url='https://en.wikipedia.org/wiki/States_and_union_territories_of_India' response = requests.get(url)
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
We always say “Garbage in Garbage out” in data science. If you do not have a good quality and quantity of data, mostly likely you would not get much insights out of it.
In this article I will show you how you can create your own dataset by Web Scraping using Python. Web Scraping means to extract a set of data from web. If you are a programmer, a Data Scientist, Engineer or anyone who works by manipulating the data, the skills of Web Scrapping will help you in your career. Suppose you are working on a project where no data is available, then how you are going to collect the data. In this situation Web Scraping skills will help you.
There is an inordinate amount of data online that is available to be accessed. Knowing how to retrieve and analyze this data is an extremely useful skill to have. In this tutorial, we will use the python requests and Beautiful Soup libraries for quickly web scraping such data.
This project is made for automatic web scraping to make scraping easy. It gets a url or the html content of a web page and a list of sample data which we want to scrape from that page. This data can be text, url or any html tag value of that page.