beautifulsoup4 install
pip install beautifulsoup4use beautifulsoup
#start
from bs4 import BeautifulSoup
import requests
req = requests.get('https://www.slickcharts.com/sp500')
soup = BeautifulSoup(req.text, 'html.parser')python import beautifulsoup
from bs4 import BeautifulSoup
import requestsbs4
#Beautiful Soup grabs all Job Title links
for link in soup_level1.find_all('a', id=re.compile("^MainContent_uxLevel2_JobTitles_uxJobTitleBtn_")):
#Selenium visits each Job Title page
python_button = driver.find_element_by_id('MainContent_uxLevel2_JobTitles_uxJobTitleBtn_' + str(x))
python_button.click() #click link
#Selenium hands of the source of the specific job page to Beautiful Soup
soup_level2=BeautifulSoup(driver.page_source, 'lxml')
#Beautiful Soup grabs the HTML table on the page
table = soup_level2.find_all('table')[0]
#Giving the HTML table to pandas to put in a dataframe object
df = pd.read_html(str(table),header=0)
#Store the dataframe in a list
datalist.append(df[0])
#Ask Selenium to click the back button
driver.execute_script("window.history.go(-1)")
#increment the counter variable before starting the loop over
x += 1bs4
#Selenium hands the page source to Beautiful Soup
soup_level1=BeautifulSoup(driver.page_source, 'lxml')
datalist = [] #empty list
x = 0 #counter
for link in soup_level1.find_all('a', id=re.compile("^MainContent_uxLevel2_JobTitles_uxJobTitleBtn_")):
##code to execute in for loop goes hereCopyright © 2021 Codeinu
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