Python快速复制浏览器中的Request

怎么用Postman快速实现python爬虫的header？ - 编程语言 - 亿速云

有的Request的header太长了，而且自己输入费时且容易出错

在 Chrome 里复制 curl (bash)到postman里import --> paste raw text

确认请求正确后，选CODE即可转化为很多代码的sample

Python 如何将字符串转为字典 - 小学弟- - 博客园

import ast
import requests
import jsOnurl= "https://www.qcc.com/api/search/searchCount"payload = json.dumps({"count": True,"filter": "{\"i\":[\"A\"],\"r\":[{\"pr\":\"GD\"}]}"
})
headers = {&＃39;authority&＃39;: &＃39;www.qcc.com&＃39;,&＃39;sec-ch-ua&＃39;: &＃39;&＃39;&＃39;" Not A;Brand";v="99", "Chromium";v="99", "Google Chrome";v="99"&＃39;&＃39;&＃39;,&＃39;sec-ch-ua-mobile&＃39;: &＃39;?1&＃39;,&＃39;user-agent&＃39;: &＃39;Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Mobile Safari/537.36&＃39;,&＃39;content-type&＃39;: &＃39;application/json&＃39;,&＃39;3bffc44f0adf514e9a57&＃39;: &＃39;5c075585853440564c7786cfca8a95bbf0c46a10dec00a420e26ec09902a3ea46c40e6310188df450938fb89dd7d90a15a3077727c5ffdbfdee73debc566625b&＃39;,&＃39;accept&＃39;: &＃39;application/json, text/plain, */*&＃39;,&＃39;x-requested-with&＃39;: &＃39;XMLHttpRequest&＃39;,&＃39;sec-ch-ua-platform&＃39;: &＃39;"Android"&＃39;,&＃39;origin&＃39;: &＃39;https://www.qcc.com&＃39;,&＃39;sec-fetch-site&＃39;: &＃39;same-origin&＃39;,&＃39;sec-fetch-mode&＃39;: &＃39;cors&＃39;,&＃39;sec-fetch-dest&＃39;: &＃39;empty&＃39;,&＃39;referer&＃39;: &＃39;https://www.qcc.com/web/search/advance?hasState=true&＃39;,&＃39;accept-language&＃39;: &＃39;zh-CN,zh;q=0.9&＃39;,&＃39;COOKIE&＃39;: &＃39;acw_tc=968a90a516472331712995259e70bece1750dcee482cebdbe5d3ec15ce; QCCSESSID=2d5fb420fc56454a4c2f134eba; qcc_did=c5ad05b7-d9a6-43ff-966e-b68a476ce17c; UM_distinctid=17f86bf8a867f7-0e66108de06d0c-113f645d-13c680-17f86bf8a87f3d; CNZZDATA1254842228=1745899471-1647225796-https%253A%252F%252Fwww.baidu.com%252F%7C1647225796; MQCCSESSID=d8fbb585640ad96c5b66faf40e; QCCSESSID=2d5fb420fc56454a4c2f134eba; acw_tc=7488a41916472350941812867ece649cfb2240d05ee9a7f5b9497d3f0b&＃39;
}respOnse= requests.request("POST", url, headers=headers, data=payload)
print(response.text)result= ast.literal_eval(response.text)
count = result[&＃39;Result&＃39;][&＃39;Count&＃39;]
print(count)