46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
import requests
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from tqdm import tqdm
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import pandas as pd
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import time
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cookies = {
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'plum_session_manage': '557ja766db2on5fvet5nhvnavt',
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}
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headers = {
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'accept': 'application/json, text/plain, */*',
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'accept-language': 'zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6',
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'priority': 'u=1, i',
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'referer': 'https://qfy.lycjh.com/public/h5/carWeb/index.html',
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'sec-ch-ua': '"Microsoft Edge";v="143", "Chromium";v="143", "Not A(Brand";v="24"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"Windows"',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'same-origin',
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'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36 Edg/143.0.0.0',
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# 'cookie': 'plum_session_manage=557ja766db2on5fvet5nhvnavt',
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}
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all_data = []
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for i in tqdm(range(0, 52)):
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params = {
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'map': 'applet_car_vehicle_list',
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'query': '',
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'page': i,
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'searchValue': '',
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'useCount': '200',
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'sourceType': 'web',
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'token': '37209C2A406D3B40068394CF3C27EE0C',
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'appid': 'wx5bc8c5b57e2223b9',
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'suid': 'hcpza678h9',
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'version': '1',
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}
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# 皖BF1821
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response = requests.get('https://qfy.lycjh.com/applet.php', params=params, cookies=cookies, headers=headers)
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data_list = response.json().get('data')
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all_data.extend(data_list)
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time.sleep(0.3)
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df = pd.DataFrame(all_data)
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df.to_csv(fr"D:\Idea Project\F6+宜搭+其它(1)\张阳脚本\文件输出\汽服云车辆信息.csv")
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