下面的代码基于千寻框架，都测试过了，都能正常使用。

需要项目代码或者千寻框架的可以加我V：iostreamX64

注意：批量加好友的时候记得设置个时间间隔，加好友太频繁微信会被封的。

导出微信群员信息

import pandas as pd
from lib.data import *
from config import wxbot_id, qun_id



# 导出信息
output_filename = "output.xlsx"
group_info = group_member_list(qun_id=qun_id)

results = [object_information(wxid) for wxid in group_info]

# 创建一个空的DataFrame来存储结果
df = pd.DataFrame(columns=["wxid", "昵称", "微信号"])

for item in results:
    wxid = item['wxid']
    wxNum = item['wxNum']
    nick = item['nick']

    # 检查wxid是否为空，如果为空则跳过此条记录
    if wxid:
        # 向数据框添加一行新的数据
        df = df.append({"wxid": wxid, "昵称": nick, "微信号": wxNum}, ignore_index=True)

# 将数据框保存为Excel文件
df.to_excel(output_filename, index=False)

批量添加好友

from lib.data import add_friend

def read_wxids_from_file(filename):
    wxids = []
    with open(filename, "r", encoding="utf-8") as file:
        for line in file:
            wxid = line.strip().split("wxid: ")[-1].split("，")[0]
            if wxid:
                wxids.append(wxid)
    return wxids


if __name__ == "__main__":
    wxids = read_wxids_from_file("output.txt")
    message = "你好"
    
    for wxid in wxids:
        result = add_friend(wxid, message)
        print(result)

导出微信好友

import requests
import json

url = "http://127.0.0.1:7777/DaenWxHook/httpapi/?wxid=wxid_k3p7e171sph522"

payload = json.dumps({
   "type": "Q0005",
   "data": {
      "type": "1"
   }
})
headers = {
   'User-Agent': 'Apifox/1.0.0 (https://apifox.com)',
   'Content-Type': 'application/json'
}

response = requests.request("POST", url, headers=headers, data=payload)

# 使用 response.json() 直接解析JSON响应
parsed_data = response.json()

# 提取wxid、wxNum和nick字段
result = parsed_data["result"]

# 创建一个用于存储提取数据的字符串
extracted_data_str = ""

for entry in result:
    wxid = entry["wxid"]
    wxNum = entry["wxNum"]
    nick = entry["nick"]
    extracted_data_str += f"wxid: {wxid}\nwxNum: {wxNum}\nnick: {nick}\n---\n"

# 将提取的数据保存到.txt文件中
output_filename = "extracted_data.txt"
with open(output_filename, "w") as outfile:
    outfile.write(extracted_data_str)

print(f"提取的数据已保存到文件 {output_filename}")