linkedin.py

from bs4 import BeautifulSoup as soup
from urllib.request import urlopen as uReq

my_url = 'https://www.flipkart.com/search?q=iphone&otracker=search&otracker1=search&marketplace=FLIPKART&as-show=on&as=off'


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

containers = page_soup.findAll("div", {"class": "_3O0U0u"})
#print(len(containers))

#print(soup.prettify(containers[0]))

container=containers[0]
#print(container.div.img["alt"])

price=container.findAll("div", {"class": "col col-5-12 _2o7WAb"})
#print(price[0].text)

ratings=container.findAll("div", {"class": "niH0FQ"})
#print(ratings[0].text)

filename="product_details.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": "niH0FQ"})
    rating=rating_container[0].text

    #print("product_name:" + product_name)
    #print("price" + price)
    #print("ratings" + rating)


    #String Parsing
    trim_price = ''.join(price.split(','))
    rm_rupee = trim_price.split("₹")
    add_rs_price = "RS." + rm_rupee[1]
    split_price = add_rs_price.split('E')
    final_price = split_price[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()