Extract live gold price using web scrap – Data Science
in the following example we used three packages, they are
a) bs4 [Beautiful Soup for web scraping]
b) pandas [panel data for data representation ]
c) request [to get source / url]
#data science with Python - extracting Gold Price
import bs4
import pandas as pd
import requests
url = 'https://www.goodreturns.in/gold-rates/bangalore.html'
result = requests.get(url)
soup = bs4.BeautifulSoup(result.content,'html.parser')
price = soup.find_all('div', {"id":"current-price"})
for pr in price:
print("Price:", pr.text)
txt=pr.text
from tkinter import *
root=Tk()
root.title('Gold Price')
root.configure(bg='gold')
root.geometry('200x100')
w=Label(root, text=txt, bg='red', font='sans 14')
b=Button(root, text="Close", fg='red', bg='yellow', command=root.destroy)
w.pack()
b.pack()
root.mainloop()
Output of the above example is:
