我想从espn网站上抓一张桌子。我似乎无法找到正确的名称来访问它。
url="https://www.espn.com/nba/stats/player/_/table/offensive/sort/avgAssists/dir/desc"
import requests
from bs4 import BeautifulSoup
headers={'User-Agent': 'Mozilla/5.0'}
response=requests.get(url,headers=headers)
soup=BeautifulSoup(response.content, 'html.parser')
soup.find_all('table',class_ ="ResponsiveTable ResponsiveTable--fixed-left mt4 Table2__title--remove-capitalization")
该代码只给我一个空列表:(
最佳答案
如果您有table标记，请让Pandas为您完成工作。它在引擎盖下使用BeautifulSoup。
import pandas as pd
url = "https://www.espn.com/nba/stats/player/_/table/offensive/sort/avgAssists/dir/desc"
dfs = pd.read_html(url)
df = dfs[0].join(dfs[1])
df[['Name','Team']] = df['Name'].str.extract('^(.*?)([A-Z]+)$', expand=True)
输出：
print(df.head(5).to_string())
RK Name POS GP MIN PTS FGM FGA FG% 3PM 3PA 3P% FTM FTA FT% REB AST STL BLK TO DD2 TD3 PER Team
0 1 LeBron James SF 35 35.1 24.9 9.6 19.7 48.6 2.0 6.0 33.8 3.7 5.5 67.7 7.9 11.0 1.3 0.5 3.7 28 9 26.10 LAL
1 2 Ricky Rubio PG 30 32.0 13.6 4.9 11.9 41.3 1.2 3.7 31.8 2.6 3.1 83.7 4.6 9.3 1.3 0.2 2.5 12 1 16.40 PHX
2 3 Luka Doncic SF 32 32.8 29.7 9.6 20.2 47.5 3.1 9.4 33.1 7.3 9.1 80.5 9.7 8.9 1.2 0.2 4.2 22 11 31.74 DAL
3 4 Ben Simmons PG 36 35.4 14.9 6.1 10.8 56.3 0.1 0.1 40.0 2.7 4.6 59.0 7.5 8.6 2.2 0.7 3.6 19 3 19.49 PHI
4 5 Trae Young PG 34 35.1 28.9 9.3 20.8 44.8 3.5 9.4 37.5 6.7 7.9 85.0 4.3 8.4 1.2 0.1 4.8 11 1 23.47 ATL