python - 如何根据 HTML 从统计页面中提取玩家信息？

Question

我正在尝试使用 selenium 抓取网站的一些信息，下面是网站 http://www.ultimatetennisstatistics.com/playerProfile?playerId=4742 的链接。 我想要获取的信息位于玩家“统计”下，我的代码现在打开玩家的个人资料，然后打开玩家的统计页面我试图找到一种方法来提取玩家统计页面中的信息，下面是我的代码，所以远

from bs4 import BeautifulSoup
from selenium import webdriver

driver = webdriver.Chrome()
driver.get("http://www.ultimatetennisstatistics.com/playerProfile?playerId=4742")
soup = BeautifulSoup(driver.page_source,"lxml")
try:
dropdown = driver.find_element_by_xpath('//*[@id="playerPills"]/li[9]/a')
dropdown.click()


bm = driver.find_element_by_id('statisticsPill')
bm.click()

for i in soup.select('#statistics table.table tr'):
    print(i)
    data1 = [x.get_text(strip=True) for x in i.select("th,td")]
    print(data1)

except ValueError:
      print("error")

我 服务

                            <th class="pct-data text-right"><i class="fa fa-percent"></i></th>
                            <th class="raw-data text-right" style="display: none;"><i class="fa fa-hashtag"></i></th>
                        </tr>
                        </thead>
                        <tbody>
                        <tr>
                            <td>Ace %</td>



                            <th class="text-right pct-data">23.4%</th>
                            <th class="raw-data text-right" style="display: none;">12942 / 55377</th>


                        </tr>
                        <tr>
                            <td>Double Fault %</td>



                            <th class="text-right pct-data">4.2%</th>
                            <th class="raw-data text-right" style="display: 

Answer 1

要从统计页面中提取玩家的信息，您可以使用以下解决方案:

• 代码块:

  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
  
  options = webdriver.ChromeOptions() 
  options.add_argument("start-maximized")
  options.add_argument('disable-infobars')
  driver=webdriver.Chrome(chrome_options=options, executable_path=r'C:\Utility\BrowserDrivers\chromedriver.exe')
  driver.get("http://www.ultimatetennisstatistics.com/playerProfile?playerId=4742")
  WebDriverWait(driver, 20).until(EC.element_to_be_clickable((By.XPATH, "//ul[@id='playerPills']//a[@class='dropdown-toggle'][normalize-space()='Statistics']"))).click()
  WebDriverWait(driver, 20).until(EC.element_to_be_clickable((By.XPATH, "//ul[@class='dropdown-menu']//a[@id='statisticsPill'][normalize-space()='Statistics']"))).click()
  statistics_items = WebDriverWait(driver, 10).until(EC.visibility_of_any_elements_located((By.XPATH, "//table[@class='table table-condensed table-hover table-striped']//tbody//tr/td")))
  statistics_value = WebDriverWait(driver, 10).until(EC.visibility_of_any_elements_located((By.XPATH, "//table[@class='table table-condensed table-hover table-striped']//tbody//tr//following::th[1]")))
  for item, value in zip(statistics_items, statistics_value):
      print('{} {}'.format(item.text, value.text))
  

• 控制台输出:

  Ace % 4.0%
  Double Fault % 2.1%
  1st Serve % 68.7%
  1st Serve Won % 71.8%
  2nd Serve Won % 57.3%
  Break Points Saved % 66.3%
  Service Points Won % 67.2%
  Service Games Won % 85.6%
  Ace Against % Return
  Double Fault Against % 7.2%
  1st Srv. Return Won % 3.4%
  2nd Srv. Return Won % 34.2%
  Break Points Won % 55.3%
  Return Points Won % 44.9%
  Return Games Won % 42.4%
  Points Dominance 33.3%
  Games Dominance Total
  Break Points Ratio 1.29
  Total Points Won % 2.31
  Games Won % 1.33
  Sets Won % 54.4%
  Matches Won % 59.7%
  Match Time 77.2%