在标记数据ID上使用python从espn提取数据

这个 beautifulsoup 这条路看起来很难走。我认为这可能对你有用:

import requests
import json
import re

url = "http://www.espn.co.uk/rugby/playerstats?gameId=293905&league=289234"
html_doc = requests.get(url)
# not the best regex but it works. there's a lot of data.
stats = json.loads(re.search(r"window.__INITIAL_STATE__\s*=\s*({.*});",html_doc.text).group(1))

# show what we have
stats['gamePackage']['matchLineUp'].keys()                                                                                     
# Out[42]: dict_keys(['text', 'home', 'away', 'gameState', 'sport', 'show'])

# no idea what this sport is. a typo?
stats['gamePackage']['matchLineUp']['sport']                                                                                        
# Out[43]: 'rugby'

stats['gamePackage']['matchLineUp']['home']                                                                                        
# {'name': 'ITALY',
#  'logo': 'http://a1.espncdn.com/combiner/i?img=/i/teamlogos/rugby/teams/500/20.png&h=35&w=35',
#  'team': [
#   {'id': '91554',
#    'url': 'http://en.espn.co.uk/sport/rugby/player/91554.html',
#    'name': 'Jayden Hayward',
#    'number': '15',
#    'position': 'FB',
#    'captain': False,
#    'subbed': False,
#    'homeAway': 'home',
#    ...

for home_player in stats['gamePackage']['matchLineUp']['home']['team']: 
   print("{} - {}".format(home_player['name'], home_player['number'])) 
Jayden Hayward - 15
Tommaso Benvenuti - 14
Michele Campagnaro - 13
Tommaso Castello - 12
Luca Sperandio - 11
Tommaso Allan - 10
Tito Tebaldi - 9
Andrea Lovotti - 1
Leonardo Ghiraldini - 2
Simone Ferrari - 3
Alessandro Zanni - 4
Dean Budd - 5
Sebastian Negri - 6
Jake Polledri - 7
Braam Steyn - 8

里面有很多其他的信息,但我想这会让你走。。。