Flipkart Web Scraping in Python: This will be store IPhone Mobile Name ,Price & Rating in csv file

web_scraping_flipkart.py

#from selenium import webdriver
from bs4 import BeautifulSoup as soup
from urllib.request import urlopen as uReq
#import pandas as pd

my_url= 'https://www.flipkart.com/search?q=iphone'

uClient=uReq(my_url)
page_html=uClient.read()
uClient.close()
page_soup=soup(page_html,'html.parser')

containers=page_soup.findAll('div',{'class':'_1UoZlX'}) #'_3wU53n'
#print(len(containers))
#print(soup.prettify(containers[5]))

container=containers[0]

prices=container.findAll('div',{'class':'col col-5-12 _2o7WAb'})
#print(soup.prettify(prices[0]))
ratings=container.findAll('div',{'class':'niH0FQ'})

filename='product.csv'
f=open(filename,'w')

headers='Product_Name,Pricing,Rating \n'
f.write(headers)

for container in containers:
    product_name=container.div.img['alt']

    price_container=container.findAll('div',{'class':'col col-5-12 _2o7WAb'})
    price=price_container[0].text.strip()

    rating_container = container.findAll('div',{'class':'hGSR34'})
    rating = rating_container[0].text.strip()

    #string parsing
    trim_price=''.join(price.split(','))
    rm_rupee=trim_price.split('₹')
    add_rs_price='Rs.'+ rm_rupee[1]
    split_price1=add_rs_price.split('N')
    #split_price2 = split_price1.split('No')
    final_price=split_price1[0]

    split_rating=rating.split('  ')
    final_rating=split_rating[0]

    print(product_name.replace(',','|') + ',' + final_price + ',' + final_rating + '\n')
    f.write(product_name.replace(',','|') + ',' + final_price + ',' + final_rating + '\n')

f.close