python - 抓取表仅返回 "tbody"而不是 tbody 的内容

Question

我正在尝试从该网站上名为“燃料混合图”的表中提取数据:https://www.iso-ne.com/isoexpress/我正在使用 BeautifulSoup 读取 HTML 并提取下面列出的表格，但是当我尝试读取 tbody 的内容时，它将其输出为空。

这是我的代码:

from bs4 import BeautifulSoup
from urllib.request import urlopen


pullPage = 'https://www.iso-ne.com/isoexpress/'

#query website and assign HTML to var page
page = urlopen(pullPage)

#parse HTML into var soup
soup = BeautifulSoup(page, 'html.parser')

#take <div> out of HTML name classifier and obtain value
fuelMix = soup.find('div', id='p_p_id_fuelmixgraphportlet_WAR_isoneportlet_INSTANCE_ZXnKx0ygssKj_')
fuelMixData = fuelMix.find('table', id = '_fuelmixgraphportlet_WAR_isoneportlet_INSTANCE_ZXnKx0ygssKj_table')




tbody = fuelMixData.find_all('tbody')
#for row in rows:
 #   data = row.find_all('td')
    #FMData.append(str(row.find_all('tr')[0].text))

print (tbody)

这里是 HTML 的相关部分:

<table id="_fuelmixgraphportlet_WAR_isoneportlet_INSTANCE_ZXnKx0ygssKj_table" align="left"> 
     <thead> 
          <tr> 
               <th style="text-align:left;">Date/Time</th>
               <th style="text-align:left;">Fuel</th>
               <th>MW</th> </tr> 
     </thead> 
     <tbody>
          <tr>
               <td style="text-align:left;">06/02/2019 00:01</td>
               <td style="text-align:left;">NaturalGas</td>
               <td>2581</td>
          </tr>
          <tr>
               <td style="text-align:left;">06/02/2019 00:01</td>
               <td style="text-align:left;">Nuclear</td>
               <td>3339</td>
          </tr>
     </tbody> 
</table>

目前，我的预期结果是简单地打印 tbody 中的所有数据。最终我将读取“tr”和“td”来创建数据数组(任何有关如何清理非日期/时间、燃料类型和值的其他字符串的想法也将受到赞赏!)

当我运行当前代码时，它只会返回

[<tbody></tbody>]

如果我 find_all('tr')，它只返回来自 thead 的值:

[<tr> <th style="text-align:left;">Date/Time</th> <th style="text-align:left;">Fuel</th> <th>MW</th> </tr>]

如果我 find_all('td')，则会返回一个空数组。

感谢您提前提供的帮助。

Answer 1

模仿页面执行的 POST 请求，您将获得 json 格式的所有信息

from bs4 import BeautifulSoup as bs
import requests
import time

params = {
    '_nstmp_formDate' : int(time.time()),
    '_nstmp_startDate' : '06/02/2019',
    '_nstmp_endDate' : '06/02/2019',
    '_nstmp_twodays' : 'false',
    '_nstmp_chartTitle' : 'Fuel Mix Graph',
   '_nstmp_requestType' : 'genfuelmix',
   '_nstmp_fuelType' : 'all',
   '_nstmp_height' : 250,
   '_nstmp_showtwodays' : 'false'
}
r = requests.post('https://www.iso-ne.com/ws/wsclient', data = params).json()

例如写入 df:

from bs4 import BeautifulSoup as bs
import requests
import time
import pandas as pd

params = {
    '_nstmp_formDate' : int(time.time()),
    '_nstmp_startDate' : '06/02/2019',
    '_nstmp_endDate' : '06/02/2019',
    '_nstmp_twodays' : 'false',
    '_nstmp_chartTitle' : 'Fuel Mix Graph',
   '_nstmp_requestType' : 'genfuelmix',
   '_nstmp_fuelType' : 'all',
   '_nstmp_height' : 250,
   '_nstmp_showtwodays' : 'false'
}

r = requests.post('https://www.iso-ne.com/ws/wsclient', data = params).json()
result = []
headers = ['NaturalGas', 'Wind', 'Nuclear', 'Solar', 'Wood', 'Refuse', 'LandfillGas', 'BeginDateMs', 'Renewables', 'BeginDate', 'Hydro', 'Other']

for item in r[0]['data']:
    row = {}
    for header in headers:
        row[header] = item.get(header, '')
        result.append(row)
df = pd.DataFrame(result, columns = headers)
print(df.head())