我现在要道歉，因为我确信我的问题格式和我提供的信息不会与本网站的预期相提并论。我已经编写SQL和VBA几年了，我正在尝试使用第三语言来提高我的技能。随着时间的推移，我会变得更好
现在我的问题......
我正在尝试使用在BasketballReference.com上运行的代码来编写一系列表格，但是在NBA.com上，代码没有带来什么。当进一步挖掘时，make_soup不包含我在浏览器中检查表时看到的tr和td标记。下面是我正在使用的代码，以供参考我的csv文件的图片。
import urllib
import urllib.request
from bs4 import BeautifulSoup
import os
import csv
import time
def make_soup(url):
thepage = urllib.request.urlopen(url)
soupdata = BeautifulSoup(thepage, "html.parser")
return soupdata
with open('PlayTypeKey.csv', 'r') as PlaytypeData:
csv_reader = csv.reader(PlaytypeData)
a = []
b = []
c = []
d = []
next(csv_reader)
for row in csv_reader:
a1 = row[0]
b1 = row[1]
c1 = row[2]
d1 = row[3]
a.append(a1)
b.append(b1)
c.append(c1)
d.append(d1)
playerdatasaved = ""
i = 0
while i < 5:
soup = make_soup("http://stats.nba.com/players/"+a[i]+"/?Season="+b[i]+"&SeasonType=Regular%20Season&PerMode="+c[i]+"&OD="+d[i])
for record in soup.findAll('tr'):
playerdata = b[i]+ a[i] + ","
for data in record.findAll('td'):
playerdata=playerdata+","+data.text
playerdatasaved = playerdatasaved + "\n" + playerdata[1:]
i=i+1
header = "Season,PlayType,PLAYER,TEAM,GP,POSS,FREQ,PPP,PTS,FGM,FGA,FG%,EFG%,FT-Freq,TO-Freq,SF-Freq,AND ONE-Freq,SCORE-Freq,PERCENTILE"
file = open(os.path.expanduser("BasketballPlayTypeData.csv"), "wb")
file.write(bytes(header, encoding="ascii", errors='ignore'))
file.write(bytes(playerdatasaved, encoding="ascii", errors='ignore'))
PlayTypeKey.csv数据：
PlayType Season Mode OffDef
isolation 2015-16 Totals offensive
isolation 2016-17 Totals offensive
isolation 2017-18 Totals offensive
transition 2015-16 Totals offensive
transition 2016-17 Totals offensive
transition 2017-18 Totals offensive
我有限的故障排除能力告诉我，当我从网站中取出汤时，表数据不会回来。打印汤的文字时，我得到了这个......
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NBA.com/Stats | Players Isolation
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{{ ::item.city }} {{ ::item.name }}
{{ ::item.fn }} {{ ::item.ln }}
{{ ::item.fn }} {{ ::item.ln }}
See More Results
Stats Home
/
Players
/
Playtype
/
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Minimum of 10 min/game and 10 possessions per play type to qualify.
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在上面粘贴的底部是表格的标题，但表格本身没有相应的文本或代码。我不打算用打印HTML时得到的内容弄乱这篇文章但是在搜索tr或td标签时我没有得到任何命中。
提前感谢任何花时间研究这个问题的人，我只想说这个网站对我来说已经非常有价值。
该网页不包含任何带有TR和TD的表格。页面首先通过单独的调用请求所有数据然后使用Javascript呈现它。通常，您需要使用像selenium这样的东西才能完成此操作，但更快的方法是使用浏览器监视网络请求并使用Python重新创建它们。
在这种情况下，请求导致所有数据以JSON格式返回，这比需要BeautifulSoup更容易解析。只需使用Python的JSON库加载它，您就可以将所有播放器数据作为一个大的Python数据结构。
在读取CSV文件时，一次只使用一行信息而不是尝试构建多个列表然后在单独的循环中对它们进行索引会更容易。
您需要的JSON请求将稍微不同的参数（通过监视浏览器中的网络活动看到）与您尝试获取的HTML页面的参数略有不同，因此需要更新CSV文件：
PlayType,Season,Mode,OffDef
isolation,2015,Totals,offensive
isolation,2016,Totals,offensive
isolation,2017,Totals,offensive
transition,2015,Totals,offensive
transition,2016,Totals,offensive
transition,2017,Totals,offensive
获取数据的脚本如下：
import urllib
import urllib.request
import os
import csv
import json
from operator import itemgetter
fieldnames = ["PlayerFirstName", "PlayerLastName", "TeamNameAbbreviation", "GP", "Poss"]
req_fields = itemgetter(*fieldnames)
with open("PlayTypeKey.csv", "r", newline="") as f_input, \
open(os.path.expanduser("BasketballPlayTypeData.csv"), "w", newline="") as f_output:
csv_input = csv.reader(f_input)
next(csv_input)
csv_output = csv.writer(f_output)
csv_output.writerow(fieldnames)
for play_type, season, mode, off_def in csv_input:
url = f"http://stats-prod.nba.com/wp-json/statscms/v1/synergy/player/?category={play_type}&limit=500&names={off_def}&season={season}&seasonType=Reg"
print(url)
json_data = urllib.request.urlopen(url).read()
data = json.loads(json_data)
for player in data['results']:
row = [season, play_type] + list(req_fields(player))
csv_output.writerow(row)
如果您要打印json_data，您将看到每个玩家可用的所有可能数据。我已经展示了如何提取前几列。 itemgetter()用作从每个玩家条目中提取所需位的快捷方式。
此脚本将为您提供输出CSV文件：
PlayerFirstName,PlayerLastName,TeamNameAbbreviation,GP,Poss
2015,isolation,Aaron,Gordon,ORL,78,30
2015,isolation,Norman,Powell,TOR,49,9
2015,isolation,Al,Jefferson,CHA,47,9
您显然可以修改输出以使其与其他站点相同。这种方法的最大优点是，您只需一次通话即可获得所有玩家数据，无需循环浏览多个页面。