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：
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import requestsfrom bs4 import beautifulsoupdef 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() |
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原文链接：https://blog.csdn.net/m0_46278037/article/details/113922326
