test.py

import csv
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
import time
import getpass
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.action_chains import ActionChains
import pandas as pd
from selenium.webdriver.support.ui import Select


options = Options()

options.add_experimental_option('excludeSwitches', ['enable-logging'])
options.BinaryLocation = "C:/Users/moham_nbdosir/AppData/Local/Google/Chrome SxS/Application/chrome.exe"
# options.add_argument('headless')

url = 'https://eur.shein.com/Women-Tops,-Blouses-Tee-c-1766.html?ici=eur_tab01navbar04menu01&scici=navbar_WomenHomePage~~tab01navbar04menu01~~4_1~~real_1766~~~~0&src_module=topcat&src_tab_page_id=page_real_class1663437350149&src_identifier=fc%3DWomen%60sc%3DCLOTHING%60tc%3DTOPS%60oc%3D0%60ps%3Dtab01navbar04menu01%60jc%3Dreal_1766&srctype=category&userpath=category-CLOTHING-TOPS'
browser_driver = Service(executable_path='C:/Users/moham_nbdosir/AppData/Local/Google/Chrome SxS/chromedriver.exe')
page_to_scrape = webdriver.Chrome(service=browser_driver,options=options)

page_to_scrape.get(url=url)
# page_to_scrape.maximize_window()
closex = page_to_scrape.find_element(By.XPATH, "/html/body/div[1]/div[5]/div[1]/div/i")
page_to_scrape.implicitly_wait(5)
ActionChains(page_to_scrape).move_to_element(closex).click(closex).perform()
html = page_to_scrape.find_element(By.TAG_NAME,'html')
html.send_keys(Keys.END)
r=1
templist = [] 
  
while(1): 
    try:
        name=page_to_scrape.find_elements(By.XPATH, '/html/body/div[1]/div[1]/div[2]/div[2]/section/div[1]/section[1]/div[2]/div[1]/a')
        # name=page_to_scrape.find_elements(By.CLASS_NAME,'S-product-item__link')
        # img=page_to_scrape.find_elements(By.CLASS_NAME,'S-product-item__img-submain')
        # price = page_to_scrape.find_elements(By.CLASS_NAME,'S-product-item__retail-price')
        print(name)
        Table_dict={ 'Name': name.text,
                    }
          
        templist.append(Table_dict) 
        df = pd.DataFrame(templist)
          
        r = r + 1
          

    except NoSuchElementException: 
        break
    df.to_csv('table.csv') 
    page_to_scrape.close()