{
 "cells": [
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "获取材料",
   "id": "be89024828eeb339"
  },
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2025-06-23T03:52:55.446076Z",
     "start_time": "2025-06-23T03:52:49.281182Z"
    }
   },
   "source": [
    "import requests\n",
    "import pandas as pd\n",
    "\n",
    "all_data = []\n",
    "cookies = {\n",
    "    'Hm_lvt_a856165bfa0ce84d1fb04dc98d558ead': '1750648887',\n",
    "    'Hm_lpvt_a856165bfa0ce84d1fb04dc98d558ead': '1750648887',\n",
    "    'HMACCOUNT': 'ABFCA62083E00432',\n",
    "    'JSESSIONID': 'C719B94B2515D8D6582B9D4AE91903FF',\n",
    "    'td_cookie': '3361803543',\n",
    "}\n",
    "\n",
    "headers = {\n",
    "    'Accept': 'application/json, text/javascript, */*; q=0.01',\n",
    "    'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6',\n",
    "    'Connection': 'keep-alive',\n",
    "    'Referer': 'http://www.idsz.xin:7070/setting_commodity_information_new',\n",
    "    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/137.0.0.0 Safari/537.36 Edg/137.0.0.0',\n",
    "    'X-Requested-With': 'XMLHttpRequest',\n",
    "    # 'Cookie': 'Hm_lvt_a856165bfa0ce84d1fb04dc98d558ead=1750648887; Hm_lpvt_a856165bfa0ce84d1fb04dc98d558ead=1750648887; HMACCOUNT=ABFCA62083E00432; JSESSIONID=C719B94B2515D8D6582B9D4AE91903FF; td_cookie=3361803543',\n",
    "}\n",
    "\n",
    "topGroupId_list = [\n",
    "    '974e032e-0052-42b0-9d98-2d83f9ee7d0a',\n",
    "    '81f51c1d-f33b-4ec7-ab79-34af0cb4a006',\n",
    "    'b17589f3-ad29-429a-9f15-6077d1cbafbb',\n",
    "    '25eb6487-0bf9-4fa2-8fcf-5c7e1fedf700',\n",
    "    'be723274-157e-4da5-a7cd-dae8874a3bf5',\n",
    "    '29ae4eb1-cd7d-4521-a4cf-6feaae449f2f',\n",
    "    '96a1f351-ae12-46dd-b6b3-57dd96a316a1',\n",
    "    \"72278a29-7c9b-4c54-9eec-809542a2327b\"\n",
    "]  # 手动获取\n",
    "\n",
    "for topGroupId in topGroupId_list:\n",
    "    total = 0\n",
    "    params = {\n",
    "        'apiname': 'goodscommon_list',\n",
    "        'page': '0',\n",
    "        'rows': '50',\n",
    "        'topGroupId': topGroupId,  # 不同类目需要手动变更\n",
    "        'subGroupId': '',\n",
    "        'queryStr': '',\n",
    "        'goodsType': '',\n",
    "    }\n",
    "\n",
    "    response = requests.get('http://www.idsz.xin:7070/posapi_invoke', params=params, cookies=cookies, headers=headers,\n",
    "                            verify=False)\n",
    "    total = response.json().get('total')\n",
    "\n",
    "    rows_list = []\n",
    "    for i in range(total + 1):\n",
    "        new_params = {\n",
    "            'apiname': 'goodscommon_list',\n",
    "            'page': f'{i}',\n",
    "            'rows': '50',\n",
    "            'topGroupId': topGroupId,  # 不同类目需要手动变更\n",
    "            'subGroupId': '',\n",
    "            'queryStr': '',\n",
    "            'goodsType': '',\n",
    "        }\n",
    "        rows_list += requests.get('http://www.idsz.xin:7070/posapi_invoke', params=new_params, cookies=cookies,\n",
    "                                  headers=headers, verify=False).json().get('rows')\n",
    "    df = pd.DataFrame(rows_list)\n",
    "    df.to_excel(f'{topGroupId}data.xlsx', index=False)"
   ],
   "outputs": [],
   "execution_count": 16
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "## 客户信息",
   "id": "bcb243b547895096"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-05T03:39:42.773538Z",
     "start_time": "2025-12-05T03:38:31.538614Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import requests\n",
    "from tqdm.notebook import tqdm\n",
    "import pandas as pd\n",
    "USER_AGENT = \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36\"\n",
    "\n",
    "cookies = {\n",
    "    'JSESSIONID': '621467AB3BF49A8C806B9AA859C05C81',\n",
    "    'td_cookie': '438646777',\n",
    "}\n",
    "\n",
    "headers = {\n",
    "    'Accept': 'application/json, text/javascript, */*; q=0.01',\n",
    "    'Accept-Language': 'zh-CN,zh;q=0.9',\n",
    "    'Cache-Control': 'no-cache',\n",
    "    'Connection': 'keep-alive',\n",
    "    'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',\n",
    "    'Origin': 'http://www.idsz.xin:7070',\n",
    "    'Pragma': 'no-cache',\n",
    "    'Referer': 'http://www.idsz.xin:7070/report/memberservicelist?detailtype=3&key=4&startTime=2025-01-01&endTime=2025-12-05&sshopId=&type=1&typeFlag=0',\n",
    "    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36 Edg/142.0.0.0',\n",
    "    'X-Requested-With': 'XMLHttpRequest',\n",
    "    # 'Cookie': 'JSESSIONID=621467AB3BF49A8C806B9AA859C05C81; td_cookie=438646777',\n",
    "}\n",
    "\n",
    "all_data = []\n",
    "\n",
    "params = {\n",
    "    'apiname': 'kpi_customerDetailQuery_new',\n",
    "    'detailtype': '4',\n",
    "    'startTime': '2015-01-01',\n",
    "    'endTime': '2025-12-31',\n",
    "    'key': 'cus',\n",
    "    'sshopId': '',\n",
    "    'option': '',\n",
    "    'page': 1,\n",
    "    'pageSize': '50',\n",
    "}\n",
    "\n",
    "response = requests.get('http://www.idsz.xin:7070/posapi_invoke', params=params, cookies=cookies, headers=headers,\n",
    "                        verify=False)\n",
    "\n",
    "# print(response.json())\n",
    "total = response.json().get('total')\n",
    "total = int(total)\n",
    "print( total)\n",
    "total_pages = total // 50 + 1\n",
    "for i in tqdm(range(total_pages)):\n",
    "    params['page'] = i + 1\n",
    "    response = requests.get('http://www.idsz.xin:7070/posapi_invoke', params=params, cookies=cookies, headers=headers,\n",
    "                            verify=False)\n",
    "    cus_list = response.json().get('rows')\n",
    "    for cus in cus_list:\n",
    "        all_data.append(cus)\n",
    "\n",
    "df = pd.DataFrame(all_data)\n",
    "df.to_excel('customer_data.xlsx', index=False)"
   ],
   "id": "2c30955bd49819cc",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7701\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "  0%|          | 0/155 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "0aa7e0c27bc045c0aeb870544edaa328"
      }
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    }
   ],
   "execution_count": 1
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-05T03:21:40.255194Z",
     "start_time": "2025-12-05T03:21:38.345894Z"
    }
   },
   "cell_type": "code",
   "source": "df.to_excel('customer_data.xlsx', index=False)",
   "id": "1209e7c233e5a37a",
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "正在抓取会员卡信息:  18%|█▊        | 1347/7658 [1:30:48<7:05:27,  4.04s/it]\n"
     ]
    }
   ],
   "execution_count": 37
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "## 根据车牌查询fid",
   "id": "f483cb1329585127"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-04T11:06:52.170254Z",
     "start_time": "2025-12-04T09:37:05.539650Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import requests\n",
    "import pandas as pd\n",
    "import time\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "cookies = {\n",
    "    'JSESSIONID': '621467AB3BF49A8C806B9AA859C05C81',\n",
    "    'td_cookie': '438646777',\n",
    "}\n",
    "\n",
    "headers = {\n",
    "    'Accept': 'application/json, text/javascript, */*; q=0.01',\n",
    "    'Accept-Language': 'zh-CN,zh;q=0.9',\n",
    "    'Cache-Control': 'no-cache',\n",
    "    'Connection': 'keep-alive',\n",
    "    'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',\n",
    "    'Origin': 'http://www.idsz.xin:7070',\n",
    "    'Pragma': 'no-cache',\n",
    "    'Referer': 'http://www.idsz.xin:7070/report/memberservicelist?detailtype=3&key=4&startTime=2025-01-01&endTime=2025-12-05&sshopId=&type=1&typeFlag=0',\n",
    "    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36 Edg/142.0.0.0',\n",
    "    'X-Requested-With': 'XMLHttpRequest',\n",
    "    # 'Cookie': 'JSESSIONID=621467AB3BF49A8C806B9AA859C05C81; td_cookie=438646777',\n",
    "}\n",
    "\n",
    "# 定义查询单个车牌信息的函数\n",
    "def query_vehicle_info(license_plate):\n",
    "    params = {\n",
    "        'apiname': 'member_customer_query_v1',\n",
    "        'option': license_plate,\n",
    "        'tagId': '',\n",
    "        'page': '0',\n",
    "        'pageSize': '50',\n",
    "    }\n",
    "    try:\n",
    "        response = requests.get('http://www.idsz.xin:7070/posapi_invoke', params=params, cookies=cookies,\n",
    "                                headers=headers, verify=False)\n",
    "        response.raise_for_status()  # 如果请求失败（状态码不是200），抛出异常\n",
    "        data = response.json()\n",
    "        if 'userObject' in data and 'list' in data['userObject']:\n",
    "            return data['userObject']['list']\n",
    "        else:\n",
    "            return []\n",
    "    except requests.RequestException as e:\n",
    "        print(f\"查询车牌 {license_plate} 时出现请求错误: {e}\")\n",
    "        return []\n",
    "    except ValueError as e:\n",
    "        print(f\"查询车牌 {license_plate} 时解析JSON出错: {e}\")\n",
    "        return []\n",
    "\n",
    "\n",
    "# 读取 Excel 文件\n",
    "excel_file = pd.ExcelFile('customer_data.xlsx')\n",
    "df = excel_file.parse()\n",
    "\n",
    "# 假设车牌列名为 '车牌'，如果不是请修改\n",
    "license_plates = df['carNo'].tolist()\n",
    "\n",
    "all_results = []\n",
    "for plate in tqdm(license_plates):\n",
    "    result = query_vehicle_info(plate)\n",
    "    if result:\n",
    "        all_results.extend(result)\n",
    "    time.sleep(0.5)  # 适当延时，避免给服务器造成过大压力\n",
    "\n",
    "# 将结果转换为 DataFrame 并保存为 Excel 文件\n",
    "result_df = pd.DataFrame(all_results)\n",
    "result_df.to_excel(r'车牌查询结果.xlsx', index=False)"
   ],
   "id": "2d27a314d2cc6b40",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "  0%|          | 0/7650 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "f5e0feb761e8432494dec95b0ed6146e"
      }
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    }
   ],
   "execution_count": 1
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "## 根据fid查询卡信息",
   "id": "b31f79d06acb381a"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-05T01:46:27.497896Z",
     "start_time": "2025-12-05T01:46:22.721666Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import requests\n",
    "import pandas as pd\n",
    "import time\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "cookies = {\n",
    "    'JSESSIONID': '32C141F5A7A289491D34C50325D2D5A8',\n",
    "    'td_cookie': '431362035',\n",
    "}\n",
    "\n",
    "headers = {\n",
    "    'Accept': 'application/json, text/javascript, */*; q=0.01',\n",
    "    'Accept-Language': 'zh-CN,zh;q=0.9',\n",
    "    'Cache-Control': 'no-cache',\n",
    "    'Connection': 'keep-alive',\n",
    "    'Content-Type': 'application/x-www-form-urlencoded',\n",
    "    'Origin': 'http://www.idsz.xin:7070',\n",
    "    'Pragma': 'no-cache',\n",
    "    'Referer': 'http://www.idsz.xin:7070/member_1_info?cusId=001ae236-99ee-4330-88eb-83532e605eab&type=0',\n",
    "    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36 Edg/142.0.0.0',\n",
    "    'X-Requested-With': 'XMLHttpRequest',\n",
    "    # 'Cookie': 'JSESSIONID=32C141F5A7A289491D34C50325D2D5A8; td_cookie=431362035',\n",
    "}\n",
    "\n",
    "params = {\n",
    "    'apiname': 'member_person_query_by_id_v1',\n",
    "}\n",
    "\n",
    "df = pd.read_excel('车牌查询结果.xlsx', sheet_name='Sheet1')\n",
    "all_data = []\n",
    "\n",
    "for index, item in tqdm(df.iterrows(), total=len(df)):\n",
    "    data = {\n",
    "        'id': item['fid'],\n",
    "        'licensePlate': '',\n",
    "        'idType': '1',\n",
    "    }\n",
    "    retry = 0\n",
    "    while retry < 5:\n",
    "        response = requests.post(\n",
    "            'http://www.idsz.xin:7070/posapi_invoke',\n",
    "            params=params,\n",
    "            cookies=cookies,\n",
    "            headers=headers,\n",
    "            data=data,\n",
    "            verify=False,\n",
    "        )\n",
    "        if not json_data.get(\"success\"):\n",
    "            # 即使 success=False，也视为“成功响应”，不再重试\n",
    "            return []\n",
    "        try:\n",
    "            cus = response.json().get('userObject')\n",
    "            cus_card_list = cus.get('tiemsItems')\n",
    "\n",
    "            time.sleep(1)\n",
    "            for card in cus_card_list:\n",
    "                all_data.append(card)\n",
    "            break\n",
    "        except:\n",
    "            retry += 1\n",
    "            time.sleep(1)\n",
    "            continue\n",
    "\n",
    "df1 = pd.DataFrame(all_data)\n",
    "df1.to_excel('会员卡信息1.xlsx', index=False)\n",
    "# df2 = pd.merge(df, df1, on='fid', how='left')\n",
    "# df2.to_excel('会员卡信息.xlsx', index=False)\n"
   ],
   "id": "c56ad6be942a37b1",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "  0%|          | 0/7658 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "3a8ef6406c414ec2a030c1f30471f262"
      }
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'success': False, 'msg': '未找到符合条件的客户！', 'errorCode': -1, 'userObject': None}\n",
      "{'success': False, 'msg': '未找到符合条件的客户！', 'errorCode': -1, 'userObject': None}\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
      "\u001B[31mAttributeError\u001B[39m                            Traceback (most recent call last)",
      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[32]\u001B[39m\u001B[32m, line 51\u001B[39m\n\u001B[32m     50\u001B[39m cus = response.json().get(\u001B[33m'\u001B[39m\u001B[33muserObject\u001B[39m\u001B[33m'\u001B[39m)\n\u001B[32m---> \u001B[39m\u001B[32m51\u001B[39m cus_card_list = cus.get(\u001B[33m'\u001B[39m\u001B[33mtiemsItems\u001B[39m\u001B[33m'\u001B[39m)\n\u001B[32m     52\u001B[39m \u001B[38;5;28mprint\u001B[39m(cus)\n",
      "\u001B[31mAttributeError\u001B[39m: 'NoneType' object has no attribute 'get'",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001B[31mKeyboardInterrupt\u001B[39m                         Traceback (most recent call last)",
      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[32]\u001B[39m\u001B[32m, line 59\u001B[39m\n\u001B[32m     57\u001B[39m         \u001B[38;5;28;01mexcept\u001B[39;00m:\n\u001B[32m     58\u001B[39m             retry += \u001B[32m1\u001B[39m\n\u001B[32m---> \u001B[39m\u001B[32m59\u001B[39m             time.sleep(\u001B[32m1\u001B[39m)\n\u001B[32m     60\u001B[39m             \u001B[38;5;28;01mcontinue\u001B[39;00m\n\u001B[32m     62\u001B[39m df1 = pd.DataFrame(all_data)\n",
      "\u001B[31mKeyboardInterrupt\u001B[39m: "
     ]
    }
   ],
   "execution_count": 32
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-05T02:02:22.985849Z",
     "start_time": "2025-12-05T01:54:44.634161Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import asyncio\n",
    "import httpx\n",
    "import pandas as pd\n",
    "import random\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "# ===== 配置 =====\n",
    "CONCURRENCY = 5\n",
    "RETRY_LIMIT = 3\n",
    "TIMEOUT = 10\n",
    "MIN_DELAY = 0.2\n",
    "MAX_DELAY = 0.8\n",
    "\n",
    "cookies = {\n",
    "    'JSESSIONID': '621467AB3BF49A8C806B9AA859C05C81',\n",
    "    'td_cookie': '438646777',\n",
    "}\n",
    "\n",
    "headers = {\n",
    "    'Accept': 'application/json, text/javascript, */*; q=0.01',\n",
    "    'Accept-Language': 'zh-CN,zh;q=0.9',\n",
    "    'Cache-Control': 'no-cache',\n",
    "    'Connection': 'keep-alive',\n",
    "    'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',\n",
    "    'Origin': 'http://www.idsz.xin:7070',\n",
    "    'Pragma': 'no-cache',\n",
    "    'Referer': 'http://www.idsz.xin:7070/report/memberservicelist?detailtype=3&key=4&startTime=2025-01-01&endTime=2025-12-05&sshopId=&type=1&typeFlag=0',\n",
    "    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36 Edg/142.0.0.0',\n",
    "    'X-Requested-With': 'XMLHttpRequest',\n",
    "    # 'Cookie': 'JSESSIONID=621467AB3BF49A8C806B9AA859C05C81; td_cookie=438646777',\n",
    "}\n",
    "\n",
    "params = {'apiname': 'member_person_query_by_id_v1'}\n",
    "\n",
    "async def fetch_card_data(client, fid, semaphore):\n",
    "    async with semaphore:\n",
    "        await asyncio.sleep(random.uniform(MIN_DELAY, MAX_DELAY))\n",
    "        data = {'id': fid, 'licensePlate': '', 'idType': '1'}\n",
    "        for attempt in range(RETRY_LIMIT):\n",
    "            try:\n",
    "                response = await client.post(\n",
    "                    'http://www.idsz.xin:7070/posapi_invoke',\n",
    "                    params=params,\n",
    "                    cookies=cookies,\n",
    "                    headers=base_headers,\n",
    "                    data=data,\n",
    "                    timeout=TIMEOUT\n",
    "                )\n",
    "                response.raise_for_status()\n",
    "                json_data = response.json()\n",
    "                if not json_data.get(\"success\"):\n",
    "                    # 即使 success=False，也视为“成功响应”，不再重试\n",
    "                    return []\n",
    "                user_obj = json_data.get('userObject', {})\n",
    "                card_list = user_obj.get('tiemsItems', [])\n",
    "                return [{'fid': fid, **card} for card in card_list]\n",
    "            except Exception as e:\n",
    "                if attempt == RETRY_LIMIT - 1:\n",
    "                    print(f\"❌ 最终失败: fid={fid}, error={str(e)}\")\n",
    "                    return []\n",
    "                await asyncio.sleep(random.uniform(0.5, 1.5))\n",
    "        return []\n",
    "\n",
    "# ===== 改进版：精准进度条 =====\n",
    "async def run_main():\n",
    "    df = pd.read_excel('车牌查询结果.xlsx', sheet_name='Sheet1')\n",
    "    fids = df['fid'].tolist()\n",
    "    semaphore = asyncio.Semaphore(CONCURRENCY)\n",
    "\n",
    "    async with httpx.AsyncClient(verify=False) as client:\n",
    "        # 创建所有任务\n",
    "        tasks = [fetch_card_data(client, fid, semaphore) for fid in fids]\n",
    "\n",
    "        # 使用 tqdm 手动管理进度\n",
    "        all_results = []\n",
    "        pbar = tqdm(total=len(tasks), desc=\"正在抓取会员卡信息\")\n",
    "\n",
    "        # 使用 as_completed 逐个获取完成的任务\n",
    "        for coro in asyncio.as_completed(tasks):\n",
    "            result = await coro\n",
    "            all_results.append(result)\n",
    "            pbar.update(1)  # 每完成一个，进度+1\n",
    "\n",
    "        pbar.close()\n",
    "\n",
    "    # 展平结果\n",
    "    all_data = [item for sublist in all_results for item in sublist]\n",
    "    df1 = pd.DataFrame(all_data)\n",
    "    df1.to_excel('会员卡信息1.xlsx', index=False)\n",
    "    print(f\"✅ 共获取 {len(all_data)} 条记录，已保存到 '会员卡信息1.xlsx'\")\n",
    "\n",
    "# 在 Jupyter 中运行\n",
    "await run_main()"
   ],
   "id": "ad8733e5b29be5fc",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "正在抓取会员卡信息:   0%|          | 0/7658 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "6125ba241801415a883750b643390f6d"
      }
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ 共获取 0 条记录，已保存到 '会员卡信息1.xlsx'\n"
     ]
    }
   ],
   "execution_count": 35
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "## 储值卡信息（快速接口）",
   "id": "6344358f85945812"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-05T07:01:03.797372Z",
     "start_time": "2025-12-05T07:00:56.618957Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import requests\n",
    "import pandas as pd\n",
    "import time\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "import requests\n",
    "cookies = {\n",
    "    'JSESSIONID': '052CB97F817616E954B542F4F7442E54',\n",
    "}\n",
    "\n",
    "headers = {\n",
    "    'Accept': 'application/json, text/javascript, */*; q=0.01',\n",
    "    'Accept-Language': 'zh-CN,zh;q=0.9',\n",
    "    'Cache-Control': 'no-cache',\n",
    "    'Pragma': 'no-cache',\n",
    "    'Proxy-Connection': 'keep-alive',\n",
    "    'Referer': 'http://www.idsz.xin:7070/report_member_verifi_list?detailtype=1&key=totalBalance&datafrom=2025-01-01&datato=2025-12-05&sshopId=&type=1',\n",
    "    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36 Edg/142.0.0.0',\n",
    "    'X-Requested-With': 'XMLHttpRequest',\n",
    "    # 'Cookie': 'JSESSIONID=052CB97F817616E954B542F4F7442E54',\n",
    "}\n",
    "\n",
    "\n",
    "params = {\n",
    "    'apiname': 'kpi_memberVerifiAndSurplusQuery',\n",
    "    'detailtype': '1',\n",
    "    'startTime': '2015-01-01',\n",
    "    'endTime': '2025-12-21',\n",
    "    'key': 'totalBalance',\n",
    "    'sshopId': '',\n",
    "    'timesCardId': '',\n",
    "    'option': '',\n",
    "    'page': '0',\n",
    "    'pageSize': '50',\n",
    "}\n",
    "\n",
    "res = requests.get('http://www.idsz.xin:7070/posapi_invoke', params=params, cookies=cookies, headers=headers,\n",
    "                   verify=False)\n",
    "# print(res.json())\n",
    "\n",
    "total = res.json()['total']\n",
    "total = int(total)\n",
    "print(total)\n",
    "page_num = total // 50 + 1\n",
    "all_data = []\n",
    "for i in tqdm(range(page_num)):\n",
    "    params['page'] = i\n",
    "    res = requests.get('http://www.idsz.xin:7070/posapi_invoke', params=params, cookies=cookies, headers=headers,\n",
    "                       verify=False)\n",
    "    time.sleep(0.5)\n",
    "    rows = res.json()['rows']\n",
    "    for row in rows:\n",
    "        all_data.append(row)\n",
    "\n",
    "df = pd.DataFrame(all_data)\n",
    "df.to_excel(r'D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\储值卡.xlsx', index=False)"
   ],
   "id": "5bdde2efbe9b0390",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "233\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "  0%|          | 0/5 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "fb907a4cfddd4bb09a7a6305204e1ebd"
      }
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    }
   ],
   "execution_count": 12
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "## 套餐卡",
   "id": "93dfefe59f8f6a63"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-05T05:37:07.706976Z",
     "start_time": "2025-12-05T05:36:57.105851Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import requests\n",
    "import pandas as pd\n",
    "import time\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "import requests\n",
    "\n",
    "cookies = {\n",
    "    'JSESSIONID': '705CFAA4C504D16F38A0379FD33DF300',\n",
    "    'td_cookie': '445761476',\n",
    "}\n",
    "\n",
    "headers = {\n",
    "    'Accept': 'application/json, text/javascript, */*; q=0.01',\n",
    "    'Accept-Language': 'zh-CN,zh;q=0.9',\n",
    "    'Cache-Control': 'no-cache',\n",
    "    'Connection': 'keep-alive',\n",
    "    'Pragma': 'no-cache',\n",
    "    'Referer': 'http://www.idsz.xin:7070/report_member_verifi_list?detailtype=1&key=totalBalance&datafrom=2025-01-01&datato=2025-12-05&sshopId=&type=1',\n",
    "    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36 Edg/142.0.0.0',\n",
    "    'X-Requested-With': 'XMLHttpRequest',\n",
    "    # 'Cookie': 'JSESSIONID=705CFAA4C504D16F38A0379FD33DF300; td_cookie=445761476',\n",
    "}\n",
    "\n",
    "\n",
    "params = {\n",
    "    'apiname': 'kpi_memberVerifiAndSurplusQuery',\n",
    "    'detailtype': '4',\n",
    "    'startTime': '2015-01-01',\n",
    "    'endTime': '2025-12-31',\n",
    "    'key': 'totalCount',\n",
    "    'sshopId': '',\n",
    "    'timesCardId': '',\n",
    "    'option': '',\n",
    "    'page': '0',\n",
    "    'pageSize': '50',\n",
    "}\n",
    "\n",
    "res = requests.get('http://www.idsz.xin:7070/posapi_invoke', params=params, cookies=cookies, headers=headers,\n",
    "                   verify=False)\n",
    "# print(res.json())\n",
    "\n",
    "total = res.json()['total']\n",
    "total = int(total)\n",
    "page_num = total // 50 + 1\n",
    "all_data = []\n",
    "for i in tqdm(range(page_num)):\n",
    "    params['page'] = i\n",
    "    res = requests.get('http://www.idsz.xin:7070/posapi_invoke', params=params, cookies=cookies, headers=headers,\n",
    "                       verify=False)\n",
    "    time.sleep(0.5)\n",
    "    rows = res.json()['rows']\n",
    "    for row in rows:\n",
    "        all_data.append(row)\n",
    "\n",
    "df = pd.DataFrame(all_data)\n",
    "df.to_excel(r'D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\套餐卡.xlsx', index=False)"
   ],
   "id": "b2f7fb71b16faedf",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "  0%|          | 0/14 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "af61f1ef2dca42d195d6bb70d4c93909"
      }
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    }
   ],
   "execution_count": 10
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "## 两个卡信息合并获取客户信息fid",
   "id": "95c8ba6456b099b"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-05T01:28:45.798092Z",
     "start_time": "2025-12-05T01:28:44.780987Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import pandas as pd\n",
    "\n",
    "df1 = pd.read_excel(r\"D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\储值卡.xlsx\")\n",
    "df2 = pd.read_excel(r\"D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\套餐卡.xlsx\")\n",
    "df3 = pd.concat([df1, df2], ignore_index=True)\n",
    "df3.to_excel(r\"D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\全部卡信息.xlsx\", index=False)"
   ],
   "id": "8d7315e912a17884",
   "outputs": [],
   "execution_count": 19
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "# 客户信息\n",
   "id": "564b68724ffc3cc6"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-05T01:35:53.740495Z",
     "start_time": "2025-12-05T01:34:15.936800Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import requests\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "cookies = {\n",
    "    'JSESSIONID': '052CB97F817616E954B542F4F7442E54',\n",
    "}\n",
    "\n",
    "headers = {\n",
    "    'Accept': 'application/json, text/javascript, */*; q=0.01',\n",
    "    'Accept-Language': 'zh-CN,zh;q=0.9',\n",
    "    'Cache-Control': 'no-cache',\n",
    "    'Pragma': 'no-cache',\n",
    "    'Proxy-Connection': 'keep-alive',\n",
    "    'Referer': 'http://www.idsz.xin:7070/report_member_verifi_list?detailtype=1&key=totalBalance&datafrom=2025-01-01&datato=2025-12-05&sshopId=&type=1',\n",
    "    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36 Edg/142.0.0.0',\n",
    "    'X-Requested-With': 'XMLHttpRequest',\n",
    "    # 'Cookie': 'JSESSIONID=052CB97F817616E954B542F4F7442E54',\n",
    "}\n",
    "\n",
    "df = pd.read_excel(r\"D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\全部卡信息.xlsx\", sheet_name=\"Sheet1\")\n",
    "\n",
    "# 去重\n",
    "df_dedup = df.drop_duplicates(subset=['fid'], keep='first')\n",
    "\n",
    "params = {\n",
    "    'apiname': 'member_person_query_by_id_v1',\n",
    "}\n",
    "all_data = []\n",
    "for index, row in tqdm(df_dedup.iterrows(), total=len(df_dedup)):\n",
    "    data = {\n",
    "        'id': row[\"fid\"],\n",
    "        'licensePlate': '',\n",
    "        'idType': '1',\n",
    "    }\n",
    "\n",
    "    response = requests.post(\n",
    "        'http://www.idsz.xin:7070/posapi_invoke',\n",
    "        params=params,\n",
    "        cookies=cookies,\n",
    "        headers=headers,\n",
    "        data=data,\n",
    "        verify=False,\n",
    "    )\n",
    "\n",
    "    # print(response.json())\n",
    "    all_data.append(response.json().get(\"userObject\", {}))\n",
    "\n",
    "res_df = pd.DataFrame(all_data)\n",
    "res_df.to_excel(r\"D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\有卡客户信息.xlsx\", index=False)"
   ],
   "id": "52074a8276d30ee6",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "  0%|          | 0/339 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "bf2e958e68dc40828eb424acd4e9d1c3"
      }
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    },
    {
     "ename": "AttributeError",
     "evalue": "'NoneType' object has no attribute 'keys'",
     "output_type": "error",
     "traceback": [
      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
      "\u001B[31mAttributeError\u001B[39m                            Traceback (most recent call last)",
      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[21]\u001B[39m\u001B[32m, line 52\u001B[39m\n\u001B[32m     49\u001B[39m     \u001B[38;5;66;03m# print(response.json())\u001B[39;00m\n\u001B[32m     50\u001B[39m     all_data.append(response.json().get(\u001B[33m\"\u001B[39m\u001B[33muserObject\u001B[39m\u001B[33m\"\u001B[39m, {}))\n\u001B[32m---> \u001B[39m\u001B[32m52\u001B[39m res_df = pd.DataFrame(all_data)\n\u001B[32m     53\u001B[39m res_df.to_excel(\u001B[33mr\u001B[39m\u001B[33m\"\u001B[39m\u001B[33mD:\u001B[39m\u001B[33m\\\u001B[39m\u001B[33mIdea Project\u001B[39m\u001B[33m\\\u001B[39m\u001B[33mF6+宜搭+其它(1)\u001B[39m\u001B[33m\\\u001B[39m\u001B[33m张阳脚本\u001B[39m\u001B[33m\\\u001B[39m\u001B[33m文件输出\u001B[39m\u001B[33m\\\u001B[39m\u001B[33m有卡客户信息.xlsx\u001B[39m\u001B[33m\"\u001B[39m,index=\u001B[38;5;28;01mFalse\u001B[39;00m)\n",
      "\u001B[36mFile \u001B[39m\u001B[32mD:\\ProgramTools\\anaconda3\\envs\\f6\\Lib\\site-packages\\pandas\\core\\frame.py:851\u001B[39m, in \u001B[36mDataFrame.__init__\u001B[39m\u001B[34m(self, data, index, columns, dtype, copy)\u001B[39m\n\u001B[32m    849\u001B[39m     \u001B[38;5;28;01mif\u001B[39;00m columns \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[32m    850\u001B[39m         columns = ensure_index(columns)\n\u001B[32m--> \u001B[39m\u001B[32m851\u001B[39m     arrays, columns, index = nested_data_to_arrays(\n\u001B[32m    852\u001B[39m         \u001B[38;5;66;03m# error: Argument 3 to \"nested_data_to_arrays\" has incompatible\u001B[39;00m\n\u001B[32m    853\u001B[39m         \u001B[38;5;66;03m# type \"Optional[Collection[Any]]\"; expected \"Optional[Index]\"\u001B[39;00m\n\u001B[32m    854\u001B[39m         data,\n\u001B[32m    855\u001B[39m         columns,\n\u001B[32m    856\u001B[39m         index,  \u001B[38;5;66;03m# type: ignore[arg-type]\u001B[39;00m\n\u001B[32m    857\u001B[39m         dtype,\n\u001B[32m    858\u001B[39m     )\n\u001B[32m    859\u001B[39m     mgr = arrays_to_mgr(\n\u001B[32m    860\u001B[39m         arrays,\n\u001B[32m    861\u001B[39m         columns,\n\u001B[32m   (...)\u001B[39m\u001B[32m    864\u001B[39m         typ=manager,\n\u001B[32m    865\u001B[39m     )\n\u001B[32m    866\u001B[39m \u001B[38;5;28;01melse\u001B[39;00m:\n",
      "\u001B[36mFile \u001B[39m\u001B[32mD:\\ProgramTools\\anaconda3\\envs\\f6\\Lib\\site-packages\\pandas\\core\\internals\\construction.py:520\u001B[39m, in \u001B[36mnested_data_to_arrays\u001B[39m\u001B[34m(data, columns, index, dtype)\u001B[39m\n\u001B[32m    517\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m is_named_tuple(data[\u001B[32m0\u001B[39m]) \u001B[38;5;129;01mand\u001B[39;00m columns \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[32m    518\u001B[39m     columns = ensure_index(data[\u001B[32m0\u001B[39m]._fields)\n\u001B[32m--> \u001B[39m\u001B[32m520\u001B[39m arrays, columns = to_arrays(data, columns, dtype=dtype)\n\u001B[32m    521\u001B[39m columns = ensure_index(columns)\n\u001B[32m    523\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m index \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n",
      "\u001B[36mFile \u001B[39m\u001B[32mD:\\ProgramTools\\anaconda3\\envs\\f6\\Lib\\site-packages\\pandas\\core\\internals\\construction.py:837\u001B[39m, in \u001B[36mto_arrays\u001B[39m\u001B[34m(data, columns, dtype)\u001B[39m\n\u001B[32m    835\u001B[39m     arr = _list_to_arrays(data)\n\u001B[32m    836\u001B[39m \u001B[38;5;28;01melif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(data[\u001B[32m0\u001B[39m], abc.Mapping):\n\u001B[32m--> \u001B[39m\u001B[32m837\u001B[39m     arr, columns = _list_of_dict_to_arrays(data, columns)\n\u001B[32m    838\u001B[39m \u001B[38;5;28;01melif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(data[\u001B[32m0\u001B[39m], ABCSeries):\n\u001B[32m    839\u001B[39m     arr, columns = _list_of_series_to_arrays(data, columns)\n",
      "\u001B[36mFile \u001B[39m\u001B[32mD:\\ProgramTools\\anaconda3\\envs\\f6\\Lib\\site-packages\\pandas\\core\\internals\\construction.py:917\u001B[39m, in \u001B[36m_list_of_dict_to_arrays\u001B[39m\u001B[34m(data, columns)\u001B[39m\n\u001B[32m    915\u001B[39m     gen = (\u001B[38;5;28mlist\u001B[39m(x.keys()) \u001B[38;5;28;01mfor\u001B[39;00m x \u001B[38;5;129;01min\u001B[39;00m data)\n\u001B[32m    916\u001B[39m     sort = \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28many\u001B[39m(\u001B[38;5;28misinstance\u001B[39m(d, \u001B[38;5;28mdict\u001B[39m) \u001B[38;5;28;01mfor\u001B[39;00m d \u001B[38;5;129;01min\u001B[39;00m data)\n\u001B[32m--> \u001B[39m\u001B[32m917\u001B[39m     pre_cols = lib.fast_unique_multiple_list_gen(gen, sort=sort)\n\u001B[32m    918\u001B[39m     columns = ensure_index(pre_cols)\n\u001B[32m    920\u001B[39m \u001B[38;5;66;03m# assure that they are of the base dict class and not of derived\u001B[39;00m\n\u001B[32m    921\u001B[39m \u001B[38;5;66;03m# classes\u001B[39;00m\n",
      "\u001B[36mFile \u001B[39m\u001B[32mpandas/_libs/lib.pyx:367\u001B[39m, in \u001B[36mpandas._libs.lib.fast_unique_multiple_list_gen\u001B[39m\u001B[34m()\u001B[39m\n",
      "\u001B[36mFile \u001B[39m\u001B[32mD:\\ProgramTools\\anaconda3\\envs\\f6\\Lib\\site-packages\\pandas\\core\\internals\\construction.py:915\u001B[39m, in \u001B[36m<genexpr>\u001B[39m\u001B[34m(.0)\u001B[39m\n\u001B[32m    895\u001B[39m \u001B[38;5;250m\u001B[39m\u001B[33;03m\"\"\"\u001B[39;00m\n\u001B[32m    896\u001B[39m \u001B[33;03mConvert list of dicts to numpy arrays\u001B[39;00m\n\u001B[32m    897\u001B[39m \n\u001B[32m   (...)\u001B[39m\u001B[32m    912\u001B[39m \u001B[33;03mcolumns : Index\u001B[39;00m\n\u001B[32m    913\u001B[39m \u001B[33;03m\"\"\"\u001B[39;00m\n\u001B[32m    914\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m columns \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m915\u001B[39m     gen = (\u001B[38;5;28mlist\u001B[39m(x.keys()) \u001B[38;5;28;01mfor\u001B[39;00m x \u001B[38;5;129;01min\u001B[39;00m data)\n\u001B[32m    916\u001B[39m     sort = \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28many\u001B[39m(\u001B[38;5;28misinstance\u001B[39m(d, \u001B[38;5;28mdict\u001B[39m) \u001B[38;5;28;01mfor\u001B[39;00m d \u001B[38;5;129;01min\u001B[39;00m data)\n\u001B[32m    917\u001B[39m     pre_cols = lib.fast_unique_multiple_list_gen(gen, sort=sort)\n",
      "\u001B[31mAttributeError\u001B[39m: 'NoneType' object has no attribute 'keys'"
     ]
    }
   ],
   "execution_count": 21
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-05T01:23:06.186557Z",
     "start_time": "2025-12-05T01:23:05.740048Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import requests\n",
    "\n",
    "cookies = {\n",
    "    'JSESSIONID': '32C141F5A7A289491D34C50325D2D5A8',\n",
    "    'td_cookie': '430509658',\n",
    "}\n",
    "\n",
    "headers = {\n",
    "    'Accept': 'application/json, text/javascript, */*; q=0.01',\n",
    "    'Accept-Language': 'zh-CN,zh;q=0.9',\n",
    "    'Cache-Control': 'no-cache',\n",
    "    'Connection': 'keep-alive',\n",
    "    'Pragma': 'no-cache',\n",
    "    'Referer': 'http://www.idsz.xin:7070/report_member_verifi_list?detailtype=4&key=totalBalance&datafrom=2025-01-01&datato=2025-12-04&sshopId=&type=1',\n",
    "    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36 Edg/142.0.0.0',\n",
    "    'X-Requested-With': 'XMLHttpRequest',\n",
    "    # 'Cookie': 'JSESSIONID=32C141F5A7A289491D34C50325D2D5A8; td_cookie=430509658',\n",
    "}\n",
    "\n",
    "params = {\n",
    "    'apiname': 'kpi_memberVerifiAndSurplusQuery',\n",
    "    'detailtype': '4',\n",
    "    'startTime': '2025-01-01',\n",
    "    'endTime': '2025-12-04',\n",
    "    'key': 'totalBalance',\n",
    "    'sshopId': '',\n",
    "    'timesCardId': '',\n",
    "    'option': '',\n",
    "    'page': '2',\n",
    "    'pageSize': '50',\n",
    "}\n",
    "\n",
    "response = requests.get('http://www.idsz.xin:7070/posapi_invoke', params=params, cookies=cookies, headers=headers,\n",
    "                        verify=False)\n"
   ],
   "id": "63713fc278b99d27",
   "outputs": [],
   "execution_count": 9
  }
 ],
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