1import requests
 2from bs4 import BeautifulSoup
 3
 4url = 'https://www.samplestore.pk/search/?keywords=amazfit&dataBi=k1'
 5
 6page = requests.get(url)
 7soup = BeautifulSoup(page.content, 'html.parser')
 8
 9titles = soup.select('h2.title > a')
10prices = soup.select('p.price > .shop_s')
11
12# iterate over an array
13# for title in titles:
14#   print(title.text)
15
16# # iterate over values from multiple arrays
17for title, price in zip(titles, prices):
18  print(title.text, price.text)

1prices = soup.select('p.price > .shop_s')

1# BeautifulSoup 4.1.2+
2soup.find_all("div", class_="stylelistrowone stylelistrowtwo")

1# BeautifulSoup 4+
2
3# single classname
4mydivs = soup.find_all('div', 'class_name')
5
6#  pass the list of class names as parameter like :
7mydivs = soup.find_all('div', ['class1', 'class2'])

 1# iterate over an array
 2for title in titles:
 3  print(title.text)
 4
 5for price in prices:
 6  print(price.text)
 7
 8# iterate over values from multiple arrays
 9for title, price in zip(titles, prices):
10  print(title.text, price.text)

1for f, b in zip(foo, bar):
2  print(f, b)

 1# Write these to a CSV file
 2filename = 'products.csv'
 3
 4# products.csv file will be created in the current working
 5with open( filename, 'w', newline='') as file:
 6  # filednames = a list object which should contain the column headers specifying the order in which data should be written in the CSV file
 7  fieldnames = ['Title', 'Price']
 8  writer = csv.DictWriter(file, fieldnames = fieldnames)
 9
10  # first row that contains the column headings
11  writer.writeheader()
12
13  for title, price in zip(titles, prices):
14    writer.writerow({'Title': title.text, 'Price': price.text})