我正在尝试使用 selenium 抓取网站的一些信息，下面是该网站的链接http://www.ultimatetennisstatistics.com/playerProfile?playerId=4742 http://www.ultimatetennisstatistics.com/playerProfile?playerId=4742我试图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，所以远的
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:
提取玩家的信息统计数据页面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%
本文内容由网友自发贡献，版权归原作者所有，本站不承担相应法律责任。如您发现有涉嫌抄袭侵权的内容，请联系:hwhale#tublm.com(使用前将#替换为@)
