免费资源网 - https://freexyz.cn/

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()

免费资源网 - https://freexyz.cn/