Develop Reference

Accessing an element for scraping data

I want to access the highlighted element. This is part of the html to access the sub comments section in 9gag website. I'm using this meme https://9gag.com/gag/a5EAv9O as an example input for the program.
I used the following code to access but it doesn't work.
sub_com_html = item.find_element(By.CSS_SELECTOR, '//*/div/section/section[2]').Get_attribute("innerHTML")
Edit:
I'm able to access the section now and print some subcomments. Thanks to #Arundeep Chohan for correcting my silly mistake. But there's an issue. It’s accessing the sub comments section but its repeating the sub comments for different main comments. This screenshot is part of the output with main comment and sub comments as list. You can see that it’s repeating same data which is wrong. It's also giving the sub comments for only a few of the comments and skipping the rest. Theoretically it should work fine but I don't understand what's going wrong here.
This is the whole code I'm working with now. The goal is to scrape all the comments and sub comments of a meme.
import csv
from email.mime import image
from re import T
from tkinter import SCROLL, Image
from unittest import result
import instanceof as instanceof
from selenium.webdriver.remote.webelement import WebElement
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.common.keys import Keys
import time
from selenium.webdriver.common.by import By
from selenium.common.exceptions import NoSuchElementException, ElementClickInterceptedException
from selenium.webdriver.support.wait import WebDriverWait
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.chrome.options import Options
import undetected_chromedriver as uc
if __name__ == '__main__':
options = Options()
# options.headless = True
driver = uc.Chrome(service=Service(ChromeDriverManager().install()), options=options)
driver.maximize_window()
driver.get("https://9gag.com/gag/a5EAv9O")
time.sleep(5)
# click on I accept cookies
actions = ActionChains(driver)
try:
consent_button = driver.find_element(By.XPATH, '//*[#id="qc-cmp2-ui"]/div[2]/div/button[2]')
actions.move_to_element(consent_button).click().perform()
except:
pass
for i in range(31):
actions.click()
actions.send_keys(Keys.ARROW_DOWN).perform()
time.sleep(4)
# click on fresh comments section
fresh_comments = driver.find_element(By.XPATH, '//*[#id="page"]/div[1]/section[2]/section/header/div/button[2]')
actions.move_to_element(fresh_comments).click(on_element=fresh_comments).perform()
time.sleep(5)
# click on lood more comments button to load all the comments
fresh_comments = driver.find_element(By.CSS_SELECTOR, '.comment-list__load-more')
actions.move_to_element(fresh_comments).click(on_element=fresh_comments).perform()
miN = 1000
results = []
comments = {}
while miN <= 20000:
window = 'window.scrollTo(0,' + str(miN) + ')'
driver.execute_script(window)
time.sleep(3)
# Dealing with all comments
try:
# Scrape the main comments
try:
All_comments = driver.find_elements(By.CSS_SELECTOR, "div.vue-recycle-scroller__item-view")
except:
All_comments = driver.find_elements(By.CSS_SELECTOR, "div.vue-recycle-scroller__item-view")
del_comm_cnt = 1
for item in All_comments:
try:
html = item.get_attribute("innerHTML")
if "comment-list-item__text" in html:
comment = item.find_element(By.CSS_SELECTOR, "div.comment-list-item__text").text
elif "comment-list-item__deleted-text" in html:
comment = item.find_element(By.CSS_SELECTOR, "div.comment-list-item__deleted-text").text
comment = comment + str(del_comm_cnt)
del_comm_cnt += 1
if(comments.get(comment) == None):
sub_coms_list = []
comments[comment] = ""
# get sub comments
if "comment-list-item__replies" in html:
# item.find_element(By.CSS_SELECTOR, "div.comment-list-item__replies").click()
sub_comments = item.find_element(By.CSS_SELECTOR, "div.comment-list-item__replies")
actions.move_to_element(sub_comments).click(on_element=sub_comments).perform()
sub_com_section = item.find_element(By.XPATH, '//*/div/section/section[2]')
sub_com_html = sub_com_section.get_attribute("innerHTML")
#sub_coms = sub_com_section.find_elements(By.CSS_SELECTOR, "section.comment-list-item__wrapper comment-list-item__wrapper_reply")
sub_coms = sub_com_section.find_elements(By.CSS_SELECTOR, "div.comment-list-item__text")
for com in sub_coms:
sub_coms_list.append(com.text)
comments[comment] = sub_coms_list
except:
pass
except:
pass
miN = miN + 1500
driver.quit()
for i in comments:
print(i, "\n", comments[i], "\n\n")

Webscraping Multiple Pages in Python with Selenium - loop not working

I'm quite new to python and have written a script using selenium to scrape a website. I've tried everything but can't get the loop to cycle through pages. It currently just repeats the data on the first page 5 times. I want to scrape all the pages for 'BR1' any help would be great, currently the script below only scrapes the first page 5 times.
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import time
with open('rightmove.csv', 'w') as file:
file.write('PropertyCardcontent \n')
PATH = ("/usr/local/bin/chromedriver")
driver = webdriver.Chrome(PATH)
driver.get("https://www.rightmove.co.uk/house-prices.html")
print(driver.title)
elem = driver.find_element(By.NAME, 'searchLocation') # Find the search box
elem.send_keys('BR1' + Keys.RETURN)
try:
content = WebDriverWait(driver, 15).until(
EC.presence_of_element_located((By.ID,'content'))
)
finally:
time.sleep(3)
for p in range(5):
sold = content.find_elements(By.CLASS_NAME, 'sold-prices-content-wrapper ')
for solds in sold:
address = solds.find_elements(By.CLASS_NAME, 'sold-prices-content ')
for addresses in address:
result = addresses.find_elements(By.CLASS_NAME, 'results ')
for results in result:
card = results.find_elements(By.CLASS_NAME,'propertyCard')
for propertyCard in card:
header = propertyCard.find_elements(By.CLASS_NAME,'propertyCard-content')
for propertyCardcontent in header:
road = propertyCardcontent.find_elements(By.CLASS_NAME,'title')
for propertyCardcontent in header:
road = propertyCardcontent.find_elements(By.CLASS_NAME,'subTitle')
for subtitle in road:
bed = subtitle.find_elements(By.CLASS_NAME, 'propertyType')
with open('rightmove.csv', 'a') as file:
for i in range(len(result)):
file.write(header[i].text + '\n')
button = driver.find_element(By.XPATH, '//*[#id="content"]/div[2]/div[2]/div[4]/div[27]/div[3]/div')
button.click()
file.close()
time.sleep(3)
driver.quit()

Since the website link has page number on it, I recommend you put the base url as "https://www.rightmove.co.uk/house-prices/br1.html?page=1", and loop through the pages while changing the last index of the url with methods like format string.
One other thing, you don't need to implement all those for loops, you can simply assign each variable to its specific value since everything you need is inside an html block which is easy to navigate on it.
Update:
I'm sorry for being late, had unexpected stuff(...).
I've made some changes as I use Brave, so make sure you select your browser, Chrome I believe, the chromedriver(ver:102) stays the same (or depending your Chrome version).
I've also got the Price and Date and stored them in a tuple.
Every record is stored in a list[Title, propertyType, tupleof(Price_Date)]
At the end, it creates a csv and stores everything inside with a ";" as delimter.
You can if you prefer split the price and date for later use, up to you.
Note: This looping method only applies to websites in which the number of page is included within the URL. In this case, both the key and number of page is included in the URL.
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.chrome.service import Service
import time
import random
import itertools
options = Options()
options.binary_location = r'C:\Program Files\BraveSoftware\Brave-Browser\Application\brave.exe'
driver = webdriver.Chrome(options = options, service = Service("chromedriver.exe"))
key_word = "BR1".lower()
base_url = f"https://www.rightmove.co.uk/house-prices/{key_word}.html?page=1"
driver.get(base_url)
#Number of pages
pages = driver.find_element(By.XPATH, '//span[#class="pagination-label"][2]').text
pages = int(pages.strip('of'))
WebDriverWait(driver, 15).until(
EC.presence_of_element_located((By.CLASS_NAME, 'results '))
)
data = []
pc = 0
for p in range(1,pages+1):
driver.get(f"https://www.rightmove.co.uk/house-prices/{key_word}.html?page={p}")
WebDriverWait(driver, 10).until(
EC.presence_of_element_located((By.XPATH, '//div//div[#class="propertyCard"]'))
)
propertyCards = driver.find_elements(By.XPATH, '//div//div[#class="propertyCard"]')
for propertyCard in propertyCards:
title = propertyCard.find_element(By.CLASS_NAME, 'title').text
propertyType = propertyCard.find_element(By.CLASS_NAME, 'propertyType').text
price_list = propertyCard.find_elements(By.CLASS_NAME, 'price')
date_list = propertyCard.find_elements(By.CLASS_NAME, 'date-sold')
data.append([title,propertyType])
for p, d in itertools.zip_longest(price_list, date_list , fillvalue = None):
try:
price = p.text
date = d.text
data[pc].append((price, date))
except Exception as e:
print(e)
pc+=1
time.sleep(random.randint(1,4))
print(data)
with open('rightmove.csv', 'w') as file:
header = "Title;propertyType;Price_Date\n"
file.write(header)
for record in data:
file.write("{};{};{}\n".format(record[0],record[1],record[2:]))
driver.quit()

You don't have to go down to dom elem by elem, you can just use xpath or class_name (if it's unique, otherwise it's better xpath or css-selector) and get the item you are looking for.
Anyway follow this:
import time
import selenium.webdriver as webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
driver = webdriver.Chrome("/usr/local/bin/chromedriver")
driver.get("https://www.rightmove.co.uk/house-prices.html")
# send query
query = "BR1"
search_bar = driver.find_element(By.XPATH, '//input[#class="searchBox ac_input"]')
search_bar.send_keys(query)
search_bar.send_keys(Keys.ENTER)
# wait to result been loaded
WebDriverWait(driver, 10).until(
EC.presence_of_element_located((By.CLASS_NAME, 'propertyCard'))
)
#get amount of pages
pages = driver.find_element(By.XPATH, '//span[#class="pagination-label"][2]').text
pages = int(pages.replace('of ', ''))
data = []
i = 1
while i <= pages:
WebDriverWait(driver, 10).until(
EC.element_to_be_clickable((By.XPATH, '//div[contains(text(), "Next")]'))
).click()
# wait page load result
WebDriverWait(driver, 10).until(
EC.presence_of_element_located((By.XPATH, '//div//div[#class="propertyCard"]'))
)
propertyCards = driver.find_elements(By.XPATH, '//div//div[#class="propertyCard"]')
# loop over result and store data
for propertyCard in propertyCards:
title = propertyCard.find_element(By.CLASS_NAME, 'title').text
propertyType = propertyCard.find_element(By.CLASS_NAME, 'propertyType').text
data.append((title, propertyType))
time.sleep(1)
i += 1
print("you reach the last page")
#get number of results
printf(data)
driver.close()
I use a list of tuple cause in your example you want store 2 item, if you want store more data you can use a dict and then convert into csv with Dictwriter directly. Enjoy.

How do I press load more button while scraping comments on Instagram with Selenium Python

I'm working on a project that can scrape comments off posts on instagram and write them into an excel file.
Here's my code:
from selenium.webdriver.common.by import By
from selenium import webdriver
import time
import sys
import pandas as pd
from pandas import ExcelWriter
import os.path
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.action_chains import ActionChains
url = [
"https://www.instagram.com/p/CcVTqRtJ2gj/",
"https://www.instagram.com/p/CcXpLHepve-/",
]
user_names = []
user_comments = []
driver = driver = webdriver.Chrome("C:\chromedriver.exe")
driver.get(url[0])
time.sleep(3)
username = WebDriverWait(driver, 30).until(EC.element_to_be_clickable((By.CSS_SELECTOR, "input[name='username']")))
password = WebDriverWait(driver, 30).until(EC.element_to_be_clickable((By.CSS_SELECTOR,"input[name='password']")))
username.clear()
username.send_keys("username")
password.clear()
password.send_keys("pwd")
Login_button = (
WebDriverWait(driver, 2)
.until(EC.element_to_be_clickable((By.CSS_SELECTOR, "button[type='submit']")))
.click()
)
time.sleep(4)
not_now = (
WebDriverWait(driver, 30)
.until(
EC.element_to_be_clickable((By.XPATH, '//button[contains(text(), "Not Now")]'))
)
.click()
)
for n in url:
try:
driver.get(n)
time.sleep(3)
load_more_comment = driver.find_element_by_xpath("//button[class='wpO6b ']")
print("Found {}".format(str(load_more_comment)))
i = 0
while load_more_comment.is_displayed() and i < 10:
load_more_comment.click()
time.sleep(1.5)
load_more_comment = driver.find_element_by_xpath(
"//button[class='wpO6b ']"
)
print("Found {}".format(str(load_more_comment)))
i += 1
user_names.pop(0)
user_comments.pop(0)
except Exception as e:
print(e)
pass
comment = driver.find_elements_by_class_name("gElp9 ")
for c in comment:
container = c.find_element_by_class_name("C4VMK")
name = container.find_element_by_class_name("_6lAjh ").text
content = container.find_element_by_class_name("MOdxS ").text
content = content.replace("\n", " ").strip().rstrip()
user_names.append(name)
user_comments.append(content)
print(content)
user_names.pop(0)
user_comments.pop(0)
# export(user_names, user_comments)
driver.close()
df = pd.DataFrame(list(zip(user_names, user_comments)), columns=["Name", "Comments"])
# df.to_excel("Anime Content Engagement.xlsx")
print(df)
And the load-more-comments part, doesn't seem to work.
Since there are more than one buttons with the same class name, I"m not able to choose the right button to click on. And I'm a beginner so if there's anyone with any solution to how I can solve this it would be great.

you can select by aria-label text:
driver.find_element_by_css_selector("svg._8-yf5[aria-label='TEXT']")
i believe the text inside changes according to instagram language, put it according to what appears on your

Selenium button not being clicked but is being highlighted

What I'm trying to do is making nike product auto buyer the problem is after selecting size it doesn't let me click through selenium I even tried to click manually but nothing pops up this is my code where I try to click (not full code):
from selenium import webdriver
from selenium.common.exceptions import JavascriptException
from selenium.webdriver import ChromeOptions
import re
from bs4 import BeautifulSoup
import requests
import json
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
import os
user = os.environ['USERNAME']
snkrsurl = "https://www.nike.com/t/air-zoom-pegasus-38-womens-running-shoe-wide-gg8GBK/CW7358-500" #input("Please input your SNKRS url \n")
size = float(input("Please input size \n"))
options = ChromeOptions()
options.add_experimental_option('excludeSwitches',['enable-logging'])
options.add_experimental_option("useAutomationExtension", False)
options.add_experimental_option("detach",True)
options.add_argument("--disable-notifications")
chrome = webdriver.Chrome(options=options)
if "https://" in snkrsurl:
pass
elif "http://" in snkrsurl:
pass
else:
snkrsurl = "http://"+snkrsurl
chrome.get(snkrsurl)
with requests.Session() as session:
soup = BeautifulSoup(session.get(snkrsurl).text, features="lxml")
script = soup.find("script", string=re.compile('INITIAL_REDUX_STATE')).string
redux = json.loads(script[script.find('{'):-1])
products = redux["Threads"]["products"]
wait = WebDriverWait(chrome, 15)
def step1(i,v):
for key, product in products.items():
if float(product["skus"][i]["nikeSize"]) == v:
print("Found")
if v.is_integer():
wait.until(EC.element_to_be_clickable((By.XPATH, '//*[#id="gen-nav-footer"]/nav/button'))).click()
wait.until(EC.element_to_be_clickable((By.XPATH, "//*[text()='{}']".format(int(v))))).click()
chrome.execute_script("window.scroll(0,609)")
wait.until(EC.element_to_be_clickable((By.XPATH, '//*[text()="Add to Bag"]'))).click()
break
else:
wait.until(EC.element_to_be_clickable((By.XPATH, '//*[#id="gen-nav-footer"]/nav/button'))).click()
wait.until(EC.element_to_be_clickable((By.XPATH, "//*[text()='{}']".format(v)))).click()
e = chrome.find_element_by_css_selector("#floating-atc-wrapper > div > button.ncss-btn-primary-dark.btn-lg.add-to-cart-btn")
chrome.execute_script("arguments[0].scrollIntoView(true);")
e.click()
break
else:
pass
for i,v in products.items():
global length
length = len(v['skus'])
break
for i in range(length):
length -=1
step1(length,size)
I use window.scroll to go to that element because if I don't it throws error saying element is not interactable and yes checkout is being only clickable from real chrome.
Thanks

python webscraping with selenium repeating certain process

i try to scrape the contact data from companies from this website:
https://de.statista.com/companydb/suche?idCountry=276&idBranch=0&revenueFrom=-1000000000000000000&revenueTo=1000000000000000000&employeesFrom=0&employeesTo=100000000&sortMethod=revenueDesc&p=4
I can do this with the following Code:
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
import pandas as pd
import time
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
company_list= [] #create empty list
driver = webdriver.Chrome('/Users/rieder/Anaconda3/chromedriver_win32/chromedriver.exe') #define driver
driver.get('https://de.statista.com/companydb/suche?idCountry=276&idBranch=0&revenueFrom=-1000000000000000000&revenueTo=1000000000000000000&employeesFrom=0&employeesTo=100000000&sortMethod=revenueDesc&p=1') # open Website
driver.find_element_by_id("cookiesNotificationConfirm").click(); #accept cookies
driver.find_element_by_xpath("//*[#id='content']/section[3]/div/div/form/div/div[2]/div[2]/table/tr[2]/td[1]/a").click(); #click on the first company namelink
contact_data = WebDriverWait(driver, 20).until(EC.visibility_of_all_elements_located((By.XPATH, "/html/body/div[3]/div[4]/section[6]/div/div[2]/div[2]/div/div"))) #get the contactdata from the company you chose before
for cn in contact_data:
company_list.append(cn.text) # this stores the text in the list
driver.back() #navigate to previous site
time.sleep(5) #wait for the pop-up window to appear
driver.find_element_by_xpath("/html/body/div[15]/div[3]/div[3]/div[1]/button[1]").click(), #deny the websites popup
time.sleep(5) #wait for the popup to vanish
driver.find_element_by_xpath("//*[#id='content']/section[3]/div/div/form/div/div[2]/div[2]/table/tr[3]/td[1]/a").click(); #click on the next company namelink
contact_data2 = WebDriverWait(driver, 20).until(EC.visibility_of_all_elements_located((By.XPATH, "/html/body/div[3]/div[4]/section[6]/div/div[2]/div[2]/div/div"))) #get the contactdata from the company you chose before
for cn in contact_data2:
company_list.append(cn.text) # this stores the text in the list
print(company_list) #show the list
My Output is this:
['GUTex GmbH\nGerhard-Unland-Str. 1\n26683\nSaterland\nDeutschland', 'Robert Bosch GmbH\nRobert-Bosch-Platz 1\n70839\nGerlingen\nDeutschland']
Problem:
I want, that my code does this to the whole list on page 1 and then goes on on the next page and do it again. This shall go on until I have for example 100 adresses in the list. I would do this with a "while loop" but my xpaths for finding the adress are too specified, so it would always loop the same companies.
Thanks a lot inbefore

Try below code for one page data extract. Update the code for iterating over the next page records.
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
company_list= [] #create empty list
driver = webdriver.Chrome() #define driver
driver.get('https://de.statista.com/companydb/suche?idCountry=276&idBranch=0&revenueFrom=-1000000000000000000&revenueTo=1000000000000000000&employeesFrom=0&employeesTo=100000000&sortMethod=revenueDesc&p=1') # open Website
if len(driver.find_elements_by_id("cookiesNotificationConfirm")) > 0:
driver.find_element_by_id("cookiesNotificationConfirm").click(); # accept cookies
WebDriverWait(driver, 20).until(EC.element_to_be_clickable((By.XPATH, '//table[#class="zebraTable zebraTable--companies"]//td[1]')))
elementsSize = len(driver.find_elements_by_xpath('//table[#class="zebraTable zebraTable--companies"]//td[1]'))
# To iterate over the company list and click on the company name then capture the address on navigated page
# come back to previous page and repeat the same.
for i in range(elementsSize):
WebDriverWait(driver, 20).until(
EC.element_to_be_clickable((By.XPATH, '//table[#class="zebraTable zebraTable--companies"]//td[1]')))
elements = driver.find_elements_by_xpath('//table[#class="zebraTable zebraTable--companies"]//td[1]/a')
company_name = elements[i].text
elements[i].click() # click on the first company namelink
WebDriverWait(driver, 20).until(EC.element_to_be_clickable((By.XPATH,
'//*[#id="contactInformation"]//div[#class="companyContactBox"]'))) # get the contactdata from the company you chose before
contact_data = driver.execute_script("return document.getElementsByClassName('companyContactBox')[0].innerText")
# print(contact_data)
company_list.append(company_name + " : " + contact_data)
driver.back() # navigate to previous site
print(company_list)

Thanks to Dilip Meghwals comment above i could finish my Code:
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
import pandas as pd
import time
company_list= [] #create empty list
count = 25
chrome_options = webdriver.ChromeOptions()
prefs = {"profile.default_content_setting_values.notifications" : 2}
chrome_options.add_experimental_option("prefs",prefs)
driver = webdriver.Chrome('/Users/rieder/Anaconda3/chromedriver_win32/chromedriver.exe', chrome_options=chrome_options) #define driver
driver.get('https://de.statista.com/companydb/suche?idCountry=276&idBranch=0&revenueFrom=-1000000000000000000&revenueTo=1000000000000000000&employeesFrom=0&employeesTo=100000000&sortMethod=revenueDesc&p=1') # open Website
if len(driver.find_elements_by_id("cookiesNotificationConfirm")) > 0:
driver.find_element_by_id("cookiesNotificationConfirm").click(); # accept cookies
while len(company_list) < 1000:
WebDriverWait(driver, 20).until(EC.element_to_be_clickable((By.XPATH, '//table[#class="zebraTable zebraTable--companies"]//td[1]')))
elementsSize = len(driver.find_elements_by_xpath('//table[#class="zebraTable zebraTable--companies"]//td[1]'))
# To iterate over the company list and click on the company name then capture the address on navigated page
# come back to previous page and repeat the same.
for i in range(elementsSize):
WebDriverWait(driver, 20).until(EC.element_to_be_clickable((By.XPATH, '//table[#class="zebraTable zebraTable--companies"]//td[1]')))
elements = driver.find_elements_by_xpath('//table[#class="zebraTable zebraTable--companies"]//td[1]/a')
company_name = elements[i].text
elements[i].click() # click on the first company namelink
WebDriverWait(driver, 20).until(EC.element_to_be_clickable((By.XPATH,'//*[#id="contactInformation"]//div[#class="companyContactBox"]'))) # get the contactdata from the company you chose before
contact_data = driver.execute_script("return document.getElementsByClassName('companyContactBox')[0].innerText")
# print(contact_data)
company_list.append(contact_data)
driver.back() # navigate to previous site
time.sleep(5)
driver.find_element_by_xpath("//*[#id='content']/section[3]/div/div/form/div/div[2]/div[2]/div[2]/div/button[2]").click();
company_list = [w.replace('\n', ', ') for w in company_list]
print(company_list)
df_company_name = pd.DataFrame(company_list, columns =['Name'])
df_company_name.to_excel("company_name.xlsx")