通過開發者工具找到試題鏈接地址；

對試題鏈接的url進行分析，發現index是試題id名稱，構造隨機數，可使用range或者excel拉出全部；

對json數據進行字段分析

我這里分開寫了兩個腳本，一個是獲取數據一個是轉成excel，本文主要為多進程獲取數據

開發環境python3.9.1/windows10/vscode

#coding:utf-8 import requests from concurrent.futures import ProcessPoolExecutor import json# 通過url獲取數據 # url = 'http://mnks.jxedt.com/get_question?r=0.5376675619396274&index=3' urls_list = [] with open('D:/YYFX/ip.txt','r') as f:for line in f:#print line,urls_list.append(line.replace('\n', '')) #模擬瀏覽器header hea = {'User-Agent':'Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/77.0.3865.90 Safari/537.36'} #進程 pool = ProcessPoolExecutor(20) def get_page(url):#requests.get 自帶 json.loadresponse = requests.get('http://%s'%(url),headers = hea,timeout = 30 ,verify=False)response = response.content#將bytes轉換成字符串response = response.decode('utf-8')return responsedef read_data(future,*args,**kwargs):response = future.result()state = json.loads(response) # print(response.status_code,response.url)print (state)#product = response1["question"]+'\n'with open('%s.json'%'data','a',encoding='utf-8') as f: #保存json數據防止亂碼f.write(json.dumps(state,ensure_ascii=False) + '\n')f.close()def main():for url in urls_list:done = pool.submit(get_page,url)done.add_done_callback(read_data) if __name__ == '__main__':main()pool.shutdown(wait=True)f.close()

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