大家好
网站链接：点击这里
故事是他试图刮擦一个名为“ Open Bets”的表，但不幸的是该表没有类或ID，我使用beautifulsoup来废除该表，并且我使用了xpath来检测该表，但是如您在图片中所见，没有任何反应下图：点击查看图片
我试图从表中抓取数据，并检测名为“ Team A”和“ Team B”列的名称，这一点是我显示了这样的数据
print(Player1," vs ",Player2)
print("Odds ",odds)
print("Rate ",rate)
print("stake ",stake)
我想您会理解我在这里尝试做的事情，这是下表：单击以查看图片
我试图与该网站的管理员联系，以向代码源添加类或其他内容，但一无所获。
from lxml import html
import requests
page = requests.get('https://tipsters.asianbookie.com/index.cfm?player=Mitya68&ID=297754')
tree = html.fromstring(page.content)
ID = tree.xpath('/html/body/table[2]/tbody/tr/td[3]/table[7]')
print(ID)
这是我使用的代码，如果有人可以提供帮助，那将非常棒=）
谢谢。
一种简单的方法是使用pandas。这是您的操作方式：
import pandas as pd
import requests
r = requests.get('https://tipsters.asianbookie.com/index.cfm?player=Mitya68&ID=297754&sortleague=1#playersopenbets&tz=5.5').text
dfs = pd.read_html(r)
df = dfs[141]
df.columns = df.iloc[0]
df = df.drop(0)
df['Bet Placed ≡'] = [value.split('.')[-1] for value in df['Bet Placed ≡']]
print(df)
输出：
0 Bet Placed ≡ Team A ... Rate Pending Status
1 9 hours ago Real Madrid ... 1.975 pending ?-?
2 9 hours ago Red Bull Salzburg ... 1.875 pending ?-?
3 9 hours ago Ajax ... 2.00 pending ?-?
4 9 hours ago Bayern Munich ... 2.00 pending ?-?
5 9 hours ago Bayern Munich ... 1.85 pending ?-?
6 9 hours ago Inter Milan ... 1.875 pending ?-?
7 9 hours ago Manchester City ... 1.95 pending ?-?
8 9 hours ago Midtjylland ... 1.875 pending ?-?
9 9 hours ago Olympiakos Piraeus ... 1.95 pending ?-?
10 9 hours ago Hamburg SV ... 1.925 pending ?-?
11 9 hours ago Vissel Kobe ... 1.925 Lost(-25,000) FT 1-3
12 9 hours ago Shonan Bellmare ... 1.825 Won½(+10,313) FT 0-0
13 9 hours ago Yokohama Marinos ... 2.025 Won½(+12,812) FT 2-1
14 9 hours ago RKC Waalwijk ... 1.875 pending ?-?
15 9 hours ago Espanyol ... 2.075 lose(-25,000) 29' 1-0
[15 rows x 7 columns]
您还可以通过将以下行添加到代码中来将这些值作为单独的列表获取：
team_a = list(df['Team A'])
team_b = list(df['Team B'])
rate = list(df['Rate'])
stake = list(df['Stake'])
如果要以您提到的格式打印它们，请将这些行添加到代码中：
final_lst = zip(team_a,team_b,stake,rate)
for teamA,teamB,stakee,ratee in final_lst:
print(f"{teamA} vs {teamB} - Stake: {stakee}, Rate: {ratee}")
输出：
Real Madrid vs Shaktar Donetsk - Stake: 25000.00, Rate: 1.975
Red Bull Salzburg vs Lokomotiv Moscow - Stake: 100000.00, Rate: 1.875
Ajax vs Liverpool - Stake: 25000.00, Rate: 2.00
Bayern Munich vs Atl. Madrid - Stake: 25000.00, Rate: 2.00
Bayern Munich vs Atl. Madrid - Stake: 25000.00, Rate: 1.85
Inter Milan vs Monchengladbach - Stake: 25000.00, Rate: 1.875
Manchester City vs Porto - Stake: 25000.00, Rate: 1.95
Midtjylland vs Atalanta - Stake: 100000.00, Rate: 1.875
Olympiakos Piraeus vs Marseille - Stake: 25000.00, Rate: 1.95
Hamburg SV vs Erzgebirge Aue - Stake: 100000.00, Rate: 1.925
Vissel Kobe vs Kashima Antlers - Stake: 25000.00, Rate: 1.925
Shonan Bellmare vs Sagan Tosu - Stake: 25000.00, Rate: 1.825
Yokohama Marinos vs Nagoya - Stake: 25000.00, Rate: 2.025
RKC Waalwijk vs PEC Zwolle - Stake: 25000.00, Rate: 1.875
Espanyol vs Mirandes - Stake: 25000.00, Rate: 2.075
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