标签:src 豆瓣 head nes ike toolbar obj demo python实例
# coding:utf - 8 from urllib.request import urlopen from bs4 import BeautifulSoup html = urlopen("https://movie.douban.com/") bsObj = BeautifulSoup(html, "lxml") # 将html对象转化为BeautifulSoup对象 liList = bsObj.findAll("li", {"class": "title"}) # 找到所有符合此class属性的li标签 for li in liList: name = li.a.get_text() # 获取标签<a>中文字 print(name)
# -*- coding:utf-8 -*- from urllib import request from bs4 import BeautifulSoup url = r‘http://www.jianshu.com‘ # 模拟真实浏览器进行访问 headers = {‘User-Agent‘:‘Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 Safari/537.36‘} page = request.Request(url, headers=headers) page_info = request.urlopen(page).read() page_info = page_info.decode(‘utf-8‘) # 将获取到的内容转换成BeautifulSoup格式,并将html.parser作为解析器 soup = BeautifulSoup(page_info, ‘lxml‘) # 以格式化的形式打印html # print(soup.prettify()) titles = soup.find_all(‘a‘, ‘title‘) # 查找所有a标签中class=‘title‘的语句 # 打印查找到的每一个a标签的string for title in titles: print(title.string)
def getInfo(self, url): html = requests.get(url, headers=self.header) soup = BeautifulSoup(html.text, ‘html.parser‘) # print(soup.prettify()) ranks = soup.select(‘.pc_temp_num‘) titles = soup.select(‘.pc_temp_songlist > ul > li > a‘) # 层层标签查找 times = soup.select(‘.pc_temp_time‘) for rank, title, songTime in zip(ranks, titles, times): data = { # rank 全打印就是带HTML标签的 ‘rank‘: rank.get_text().strip(), ‘title‘: title.get_text().split(‘-‘)[1].strip(), ‘singer‘: title.get_text().split(‘-‘)[0].strip(), ‘songTime‘: songTime.get_text().strip() } s = str(data) print(‘rank:%2s\t‘ % data[‘rank‘], ‘title:%2s\t‘ % data[‘title‘], ‘singer:%2s\t‘ %data[‘singer‘], ‘songTime:%2s\t‘ % data[‘songTime‘]) with open(‘hhh.txt‘, ‘a‘, encoding=‘utf8‘) as f: f.writelines(s + ‘\n‘)
【更多参考】
https://www.cnblogs.com/ftl1012/p/9614146.html
https://www.cnblogs.com/ftl1012/p/9611334.html
标签:src 豆瓣 head nes ike toolbar obj demo python实例
原文地址:https://www.cnblogs.com/ftl1012/p/9614344.html