我目前正尝试在Python中为以下网页设置网络抓取器:
https://understat.com/team/Juventus/2018
专门针对“团队玩家jTable”
我已经成功地使用BeautifulSoup和selenium成功地刮除了表格,但是隐藏的列(可通过选项弹出窗口访问)无法初始化,并且无法包含在刮除中。
有人知道如何更改吗?
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.2.1/css/bootstrap.min.css">
<div class="container">
<div class="row">
<div class="col-sm-4 p-2">
<div class="shadow p-5 bg-light border">
COSILLAS
</div>
</div>
<div class="col-sm-4 p-2">
<div class="shadow p-5 bg-light border">
COSILLAS
</div>
</div>
<div class="col-sm-4 p-2">
<div class="shadow p-5 bg-light border">
COSILLAS
</div>
</div>
</div>
</div>
如果您导航到该网站,则存在隐藏的表列,例如“ XGChain”。我希望所有这些隐藏的元素都被清除掉,但是这样做很麻烦。
最好, 凯尔
答案 0 :(得分:0)
您在这里。您仍然可以使用BeautifulSoup遍历tr
和td
标签,但是我总是发现大熊猫更容易获取表格,因为它可以为您工作。
from selenium import webdriver
import pandas as pd
url = 'https://understat.com/team/Juventus/2018'
driver = webdriver.Chrome()
driver.get(url)
# Click the Options Button
driver.find_element_by_xpath('//*[@id="team-players"]/div[1]/button/i').click()
# Click the fields that are hidden
hidden = [7, 12, 14, 15, 17, 19, 20, 21, 22, 23, 24]
for val in hidden:
x_path = '//*[@id="team-players"]/div[2]/div[2]/div/div[%s]/div[2]/label' %val
driver.find_element_by_xpath(x_path).click()
# Appy the filter
driver.find_element_by_xpath('//*[@id="team-players"]/div[2]/div[3]/a[2]').click()
# get the tables in source
tables = pd.read_html(driver.page_source)
data = tables[1]
data.rename(columns={'Unnamed: 22':"Yellow_Cards", "Unnamed: 23":"Red_Cards"})
driver.close()
输出:
print (data.columns)
Index(['№', 'Player', 'Pos', 'Apps', 'Min', 'G', 'NPG', 'A', 'Sh90', 'KP90',
'xG', 'NPxG', 'xA', 'xGChain', 'xGBuildup', 'xG90', 'NPxG90', 'xA90',
'xG90 + xA90', 'NPxG90 + xA90', 'xGChain90', 'xGBuildup90',
'Yellow_Cards', 'Red_Cards'],
dtype='object')
print (data)
№ Player ... Yellow_Cards Red_Cards
0 1.0 Cristiano Ronaldo ... 2 0
1 2.0 Mario Mandzukic ... 3 0
2 3.0 Paulo Dybala ... 1 0
3 4.0 Federico Bernardeschi ... 2 0
4 5.0 Blaise Matuidi ... 2 0
5 6.0 Rodrigo Bentancur ... 5 1
6 7.0 Juan Cuadrado ... 2 0
7 8.0 Leonardo Bonucci ... 1 0
8 9.0 Miralem Pjanic ... 4 0
9 10.0 Sami Khedira ... 0 0
10 11.0 Giorgio Chiellini ... 1 0
11 12.0 Medhi Benatia ... 2 0
12 13.0 Douglas Costa ... 2 1
13 14.0 Emre Can ... 2 0
14 15.0 Mattia Perin ... 1 0
15 16.0 Mattia De Sciglio ... 0 0
16 17.0 Wojciech Szczesny ... 0 0
17 18.0 Andrea Barzagli ... 0 0
18 19.0 Alex Sandro ... 3 0
19 20.0 Daniele Rugani ... 1 0
20 21.0 Moise Kean ... 0 0
21 22.0 João Cancelo ... 2 0
22 NaN NaN ... 36 2
[23 rows x 24 columns]