python爬虫今日热榜数据到txt文件的源码

 import requests from bs4 import BeautifulSoup def download_page(url): headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.130 Safari/537.36"} try: r = requests.get(url,timeout = 30,headers=headers) return r.text except: return "please inspect your url or setup" def get_content(html,tag): output = """  排名：{}\n  标题：{} \n  热度：{}\n  链接：{}\n  ------------\n""" output2 = """平台：{}  榜单类型：{}  最近更新：{}\n------------\n""" num=[] title=[] hot=[] href=[] soup = BeautifulSoup(html, 'html.parser') con = soup.find('div',attrs={'class':'bc-cc'}) con_list = con.find_all('div', class_="cc-cd") for i in con_list: author = i.find('div', class_='cc-cd-lb').get_text() # 获取平台名字 time = i.find('div', class_='i-h').get_text() # 获取最近更新 link = i.find('div', class_='cc-cd-cb-l').find_all('a') # 获取所有链接 gender = i.find('span', class_='cc-cd-sb-st').get_text() # 获取类型 save_txt(tag,output2.format(author, gender,time)) for k in link: href.append(k['href']) num.append(k.find('span', class_='s').get_text()) title.append(str(k.find('span', class_='t').get_text())) hot.append(str(k.find('span', class_='e').get_text())) for h in range(len(num)): save_txt(tag,output.format(num[h], title[h], hot[h], href[h])) def save_txt(tag,*args): for i in args: with open(tag+'.txt', 'a', encoding='utf-8') as f: f.write(i) def main(): #   综合  科技  娱乐  社区    购物   财经 page=['news','tech','ent','community','shopping','finance'] for tag in page: url = 'https://tophub.today/c/{}'.format(tag) html = download_page(url) get_content(html,tag) if __name__ == '__main__': main()