import requests
import re
import json

url = "https://auto.51autoshop.com/Customer/CustCardList"
headers = {
    'Content-Type': 'application/x-www-form-urlencoded',
    'Cookie': 'Hm_lvt_b13246fd95aec7bfc57d9c415dfefe18=1733898115; __RequestVerificationToken=W1tpkb8doRLe28rYbhoVDiAF5kxH7vis6yUPWbL8CHIkABRM1QBjNpE3WV72mklwY9snog2sP0b_wz9NAevw5AV38-U1; HMACCOUNT=ABFCA62083E00432; LoginInfo=2412349ad7894c01b66cd10b894ff2d4; GetShopValidity=1; SERVERID=df24b70122439a42ff2eaa4b483d47a0|1733971685|1733934764; Hm_lpvt_b13246fd95aec7bfc57d9c415dfefe18=1733971687',
    'Origin': 'https://auto.51autoshop.com',
    'Priority': 'u=0, i',
    'Referer': 'https://auto.51autoshop.com/Customer/CustCardList',
    'Sec-Ch-Ua': '"Microsoft Edge";v="131", "Chromium";v="131", "Not_A Brand";v="24"',
    'Sec-Ch-Ua-Mobile': '?0',
    'Sec-Ch-Ua-Platform': '"Windows"',
    'Sec-Fetch-Dest': 'iframe',
    'Sec-Fetch-Mode': 'navigate',
    'Sec-Fetch-Site': 'same-origin',
    'Sec-Fetch-User': '?1',
    'Upgrade-Insecure-Requests': '1',
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36 Edg/131.0.0.0'
}
data = {
    '__RequestVerificationToken': '1OTyeT2u_1P6DQTBCMLDs1jTbEE4FmnXbz1d2N9-wox36wkGAkIKCcyXZkl9KW2BcGsW0lZjb6QDGcwQoryIiBme-Z81',
    'Keywords': '',
    'StartTime': '',
    'EndTime': '',
    'WCompanyID': '',
    'ExpiredOnly': 'false',
    'DetialUrl': '/Customer/CustCardDetial',
    'PageIndex': '1',
    'PageSize': '10000',
    'SortField': '',
    'SortDir': '',
    'IsExpired': '',
    'CompanyName': ''
}

res = requests.post(url, data=data, headers=headers)
html_text = res.text


import re
import  pandas as pd
text = '''
"CustCardID": 710943,
"OtherField": "SomeValue",
"CustCardID": 123456,
"CustCardID": 987654,
'''

pattern = r'"CardCode":\s*"([^"]+)"'
pattern1 = r'"CustCardID":(\d+)'

matches1 = re.findall(pattern1, html_text)
matches = re.findall(pattern, html_text)
print(matches)  # 输出: ['710943', '123456', '987654']

# 将匹配结果转换为 DataFrame
df = pd.DataFrame(matches, columns=['CardCode'])
df.to_excel('CardCode.xlsx', index=False)
df1 = pd.DataFrame(matches1, columns=['CustCardID'])

# 将 DataFrame 保存为 Excel 文件
df1.to_excel('CardCode1.xlsx', index=False)