bs4

pip install beautifulsoup4

3.89
9
Miko 90 points

                                    #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 here

3.89 (9 Votes)
0
3.5
2
Jssclpz 95 points

                                    pip install bs4 #this'll do the work

3.5 (2 Votes)
0
0
0
Gitana 65 points

                                    from bs4 import BeautifulSoup
import requests

0
0
4.33
3
Janeheroine 110 points

                                    #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 += 1

4.33 (3 Votes)
0
3
2

                                    #start


from bs4 import BeautifulSoup
import requests

req = requests.get('https://www.slickcharts.com/sp500')
soup = BeautifulSoup(req.text, 'html.parser')

3 (2 Votes)
0
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