今日热榜：https://tophub.today/
爬取数据及保存格式：
爬取后保存为.txt文件：
部分内容：
源码及注释：
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()