python - 如何抓取单元格值具有相同类名的网站表格？

Question

我正在尝试从 Transfermarkt.com 中抓取(足球队)表。对于一个项目，但有些列具有相同的类名，无法区分。

列 [2,10] 具有独特的类并且工作正常。我正在努力寻找一种方法来获得休息。

from bs4 import BeautifulSoup
import pandas as pd

headers = {'User-Agent':
           'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.106 Safari/537.36'}

page = "https://www.transfermarkt.com/hertha-bsc-u17/kader/verein/21066/saison_id/2018/plus/1"
pageTree = requests.get(page, headers=headers)
pageSoup = BeautifulSoup(pageTree.content, 'html.parser')

Players = pageSoup.find_all("a", {"class": "spielprofil_tooltip"})
Values = pageSoup.find_all("td", {"class": "zentriert"})

PlayersList = []
ValuesList = []

for i in range(0, 25):
    PlayersList.append(Players[i].text)
    ValuesList.append(Values[i].text)

df = pd.DataFrame({"Players": PlayersList, "Values": ValuesList})

我想抓取该表行上的所有列。

Answer 1

我会得到所有<tr>然后使用 for循环获取所有<td>在排队。然后我可以使用索引来获取列，并且可以使用不同的方法从列中获取值。

import requests
from bs4 import BeautifulSoup
import pandas as pd

data = {
    'name': [],
    'data of birth': [],
    'height': [],
    'foot': [],
    'joined': [],
    'contract until': [],
}

headers = {
  'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.106 Safari/537.36'
}

url = "https://www.transfermarkt.com/hertha-bsc-u17/kader/verein/21066/saison_id/2018/plus/1"
response = requests.get(url, headers=headers)
soup = BeautifulSoup(response.content, 'html.parser')

all_tr = soup.find_all('tr', {'class': ['odd', 'even']})
print('rows:', len(all_tr))

for row in all_tr:
    all_td = row.find_all('td', recursive=False)

    print('columns:', len(all_td))
    for column in all_td:
        print(' >', column.text)

    data['name'].append( all_td[1].text.split('.')[0][:-1] )
    data['data of birth'].append( all_td[2].text[:-5])
    data['height'].append( all_td[4].text )
    data['foot'].append( all_td[5].text )
    data['joined'].append( all_td[6].text )
    data['contract until'].append( all_td[8].text )


df = pd.DataFrame(data)
print(df.head())

结果:

               name data of birth  height   foot       joined contract until
0   Kilian Schubert   Sep 9, 2002  1,80 m  right  Jul 1, 2018              -
1   Raphael Bartell  Jan 26, 2002  1,82 m      -  Jul 1, 2018              -
2  Till Aufderheide  Jun 15, 2002  1,79 m      -  Jul 1, 2018              -
3  Milan Kremenovic   Mar 8, 2002  1,91 m      -  Jul 1, 2018     30.06.2020
4      Adnan Alagic   Jul 4, 2002  1,86 m  right  Jul 1, 2018     30.06.2021