基于
使用上面的代碼，我只能得到第一個子頁面。有沒有修改將所有17個子頁面的資料收集在一起？
uj5u.com熱心網友回復：
通過 POST 請求檢索資料。本教程為您提供了最初的教程，但它們沒有展示如何從那里開始。看看這個，你可以看到它是如何作業的：
import requests
import pandas as pd
url = 'https://www.boerse.de/ajax/table.php'
payload = {
'LISTID': 'US78378X1072@16',
'K_SORTCOLUM': 'N',
'K_SORTORDER': 'asc',
'K_PAGE_SIZE': '30'}
page = 0
results = pd.DataFrame()
while True:
payload['K_PAGE'] = str(page)
print('Page: %s' %(page 1))
response = requests.post(url, data=payload)
df = pd.read_html(response.text)[0]
df = df.dropna(subset=['Name'])
df = df[df['Unnamed: 0'].isnull()].drop(['Unnamed: 0'], axis=1)
if len(df) == 0:
print('Finished.')
break
results = results.append(df, sort=False).reset_index(drop=True)
page =1
輸出：
print(results)
Name Bid Ask Akt. ... Tagesvol. Vortag Zeit B?rse
0 3M Company 15625 15660 15643 ... NaN 15370 14:39:13 LSR
1 A.O. Smith 7186 7300 7243 ... NaN 7167 14:13:52 LSR
2 Abbott Champion 11175 11215 11195 ... NaN 11083 14:37:07 LSR
3 Abbvie 10408 10430 10419 ... NaN 10260 14:41:41 LSR
4 Abiomed 29260 29530 29395 ... NaN 28915 14:41:53 LSR
.. ... ... ... ... ... ... ... ... ...
497 Yum! Brands Champion 11155 11200 11178 ... NaN 10963 14:53:58 LSR
498 Zebra Technologies 53000 53620 53310 ... NaN 52330 14:54:01 LSR
499 Zimmer Holdings 11245 11305 11275 ... NaN 11118 14:50:51 LSR
500 Zions Bancorporation 5700 5750 5725 ... NaN 5625 14:47:18 LSR
501 Zoetis 19585 19685 19635 ... NaN 19100 14:53:56 LSR
[502 rows x 13 columns]
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