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Using BeautifulSoup Python Example Web Scraping Stock prices from Bloomberg Website

In this tutorial on Python, we will use BeautifulSoup Python Example for web scraping current S&P 500 index prices available at Bloomberg website.

What is Web Scraping?

As a developer, most of us work on various projects that require data for which we are dependent on some websites like in this tutorial where are would need latest Stock prices in the market and for this, we are going to be dependent on Bloomberg website.
Extracting information from some website is known as Web Scraping and doing web scraping is somewhat illegal. Why so? well by doing web scraping though you are leveraging other developers work and at the same time, you are also utilizing their server and that too without their consent. Developing an app for stock market prices that uses a web scraping and publishing that on App store can actually get you a lifetime ban.

But don’t worry as this is just a tutorial and it won’t stress their servers. But if you are planning to develop some app that would need to stress on someone else server, you can use their APIs which some websites like Facebook, Google, and Uber provide or email the developer and ask for consent.

BeautifulSoup Python Example

BeautifulSoup Python library is used to extract information from any website or extract data from any HTML or XML files. In this tutorial, we will use BeautifulSoup Python Example for web scraping current Stock prices available at Bloomberg website. We will also use urllib2 library to get HTML page of the URL declared.

Software Used:

  1. PyCharm Community Edition, Download here.

Python Library Used:

  1. BeautifulSoup
  2. urllib2

Steps used:

1.Open Pycharm after installing and import urllib2 and BeautifulSoup Python library by going to File > Settings > Project Interpreter > Install, and search for these two libraries.

2. Write the code for importing urllib2 and BeautifulSoup Python library.

from bs4 import BeautifulSoup
import urllib2
3. Declare a variable that contains the link to Bloomberg website.

fimc =''
4. Then call the urllib2 urlopen function, get the HTML page of the website declared and return the HTML to a variable page.

page = urllib2.urlopen(fimc)
5. Next, I will parse the page into BeautifulSoup Python format and store it in a variable called ‘soup’.

soup = BeautifulSoup(page,'html.parser')
6. Next, I will take out the <div> of the name and get the current index name.

name_box = soup.find('h1', attrs={'class' : 'name'})
7. We will use the strip function now to remove starting and trailing. And finally, print the S&P 500 index name.

name = name_box.text.strip()
print name
8. Next, we will get the S&P 500 index price.

price_box = soup.find('div', attrs={'class':'price'})
price = price_box.text
print price
9. TaDa! Run this file and you’ll get the price.

You can find the complete code here:

BeautifulSoup Python Code
from bs4 import BeautifulSoup
import urllib2
fimc =''

page = urllib2.urlopen(fimc)

soup = BeautifulSoup(page,'html.parser')

name_box = soup.find('h1', attrs={'class' : 'name'})
name = name_box.text.strip()
print name

price_box = soup.find('div', attrs={'class':'price'})
price = price_box.text
print price


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