使湯不獲取所有數據

Question

我將向您道歉，因為我確信問題的格式和所提供的信息將與本網站的預期不符。 我已經對SQL和VBA進行編碼已有幾年了，我正在嘗試采用第三種語言來增強我的技能。 隨着時間的流逝，我會變得更好。

現在到我的問題...

我正在嘗試使用在BasketballReference.com上可用的代碼來刮取一系列表格，但是在NBA.com上，該代碼什么也沒帶回來。 進一步挖掘時，make_soup不包含在瀏覽器中檢查表時看到的tr和td標簽。 以下是我正在使用的代碼，並提供了我的csv文件外觀的圖片作為參考。

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數據：

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訴我，當我從URL中做出湯時，表數據不會回來。 當打印湯的文本時，我得到了...

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NBA.com/Stats  | Players Isolation 
























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上面的標題的底部是表的標題，但表本身沒有相應的文本或代碼。 我不會用打印HTML時得到的內容來弄亂這篇文章，但是搜索tr或td標簽時我不會獲得任何成功。

預先感謝任何花時間研究此問題的人，我只想說這個網站對我來說已經非常有價值。

Answer 1

該網頁不包含任何帶有TR和TD表。 頁面首先顯示該數據，然后通過單獨的調用請求所有數據，然后使用Javascript呈現該數據。 通常，您需要使用諸如硒之類的東西來完成此操作，但是更快的方法是使用瀏覽器監視網絡請求並使用Python重新創建它們。

在這種情況下，請求導致所有數據都以JSON格式返回，這比需要BeautifulSoup解析起來容易得多。 只需使用Python的JSON庫加載它，您便會將所有播放器數據作為一個大的Python數據結構。

讀取CSV文件時，一次只使用一行信息會比嘗試構建多個列表然后在單獨的循環中建立索引要容易得多。

您需要的JSON請求所使用的參數與您嘗試獲取的HTML頁面所使用的參數略有不同（如通過監視瀏覽器中的網絡活動所見），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

獲取數據的腳本如下：

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)

如果要打印json_data ，則將看到每個播放器可用的所有可能數據。 我已經展示了如何提取前幾列。 itemgetter()用作從每個玩家條目中提取所需位的快捷方式。

該腳本將為您提供一個輸出CSV文件，開始於：

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

您顯然可以修改輸出，使其與其他站點相同。 這種方法的最大優勢在於，您只需一次調用即可獲取所有播放器數據，而無需循環瀏覽多個頁面。