Python中的网页抓取如何解析html？

我尝试在ajax页面中抓取站点。我只是在学python。对不起，如果这是一个简单的问题

使用selenium加载页面并下载html格式的代码。 它们可以完美地工作。 但我有一个问题，如何解析这些数据

我希望数据如下所示（可能是将数据写入变量，因为我想将其传输到mysql数据库）：

html代码中的数据位置：：

名称

率/赢zł

您可以使用beautifulsoup来解析和遍历HTML。你已经导入了它，所以你已经完成了一半。

Custom ID:
Name:
Ticket NO:
Rate:
Win:

from time import sleep
from selenium import webdriver
from bs4 import BeautifulSoup

options = webdriver.ChromeOptions()
options.add_argument('headless')

browser = webdriver.Chrome(
        ("C:/Users/backu/Downloads/chromedriver_win32/chromedriver.exe"),
        chrome_options=options)

browser.get("https://www.sts.pl/pl/oferta/zaklady-live/")
sleep(1)
source = browser.page_source # Get the entire page source from the browser
if browser is not None :browser.close() # No need for the browser so close it 
soup = BeautifulSoup(source,'html.parser')
try:
    Tags = soup.select('ul.nc-message-holder li.message') # get the elements using css selectors    
    for tag in Tags: # loop through them 
        customerId = tag.find('div').get('customid')
        name       = tag.find('div').find('span').text
        #<span class="nc-ticket" onclick="serchTicketHandler('223461999015343335')">8.00 / 51.04 zł</span>
        ticketTag  = tag.select('span.nc-ticket')
        if ticketTag : 
            ticketNum = ticketTag[0].get('onclick').replace("serchTicketHandler('","").replace("')","")
            rate_Win  = ticketTag[0].text
            if '/' in rate_Win:
                rate_Win = rate_Win.split('/')
                rate      = rate_Win[0].strip()
                win       = rate_Win[1].strip()
            else:
                rate = rate_Win
                win  = ''

            print('\n\ncustomerId ==>',customerId)
            print('name ==>',name)
            print('ticketNum ==>',ticketNum)
            print('rate ==>',rate)
            print('win ==>',win)
except Exception as e:
    print(e)

customerId ==> c46654fa66765ae11bb34d7d99cf0a77
name ==> Wojciech W
ticketNum ==> 223461999016744267
rate ==> 100.00
win ==> 1340.24 zł


customerId ==> 7b071de240b730ad42cee50711dd8c72
name ==> Grzegorz P
ticketNum ==> 223461988025841282
rate ==> 15.94
win ==> 46.28 zł


customerId ==> 244950ab8485b7180c177a2b7b19b0ae
name ==> Michał J
ticketNum ==> 313441988030838257
rate ==> 12.00
win ==> 73967.98 zł


customerId ==> 9223e1c2f87afb02e6c704acb53308da
name ==> Piotr G
ticketNum ==> 313431999017162038
rate ==> 2.00
win ==> 430.40 zł


customerId ==> 4a8e2695fe71a084f69167ac987c7013
name ==> Dawid B
ticketNum ==> 313461988013246357
rate ==> 10.00
win ==> 1569.30 zł


customerId ==> 6b882a5ef93e0c3e52b81bbee0ba52af
name ==> Adrian P
ticketNum ==> 313441988034262951
rate ==> 2.00
win ==> 451268.63 zł


customerId ==> abd34ea0c7a9b0e07a53a78324cb7e0a
name ==> Michał D
ticketNum ==> 223461999013746135
rate ==> 10.00
win ==> 27.72 zł


customerId ==> bed4fc0ea1f21a7a9b1c6762d2302d09
name ==> Rafał Ż
ticketNum ==> 223461988021146803
rate ==> 607.40
win ==> 2150.26 zł