官网:https://www.crummy.com/software/BeautifulSoup/bs4/doc/css
参考:http://www.javashuo.com/article/p-bhmtmues-cu.htmlhtml
什么是BeautifulSoup?函数
BeautifulSoup是用Python写的一个HTML/XML的解析器,它能够很好的处理不规范标记并生成剖析树(parse tree)。 它提供简单又经常使用的导航(navigating),搜索以及修改剖析树的操做。测试
下面经过一个测试例子简单说明下BeautifulSoup的用法spa
def beautifulSoup_test(self): html_doc = """ <html><head><title>The Dormouse's story</title></head> <body> <p class="title"><b>The Dormouse's story</b></p> <p class="story">Once upon a time there were three little sisters; and their names were <a href="http://example.com/elsie" class="sister" id="link1">Elsie</a>, <a href="http://example.com/lacie" class="sister" id="link2">Lacie</a> and <a href="http://example.com/tillie" class="sister" id="link3">Tillie</a>; <div class="text" id="div1">测试</div> and they lived at the bottom of a well.</p> <p class="story">...</p> """ # soup 就是BeautifulSoup处理格式化后的字符串 soup = BeautifulSoup(html_doc,'lxml') # 获得的是title标签 print(soup.title) # 输出:<title>The Dormouse's story</title> # 获得的是文档中的第一个p标签,要想获得全部标签,得用find_all函数。 # find_all 函数返回的是一个序列,能够对它进行循环,依次获得想到的东西. print(soup.p) print(soup.find_all('p')) print(soup.find(id='link3')) # 是返回文本,这个对每个BeautifulSoup处理后的对象获得的标签都是生效的 print(soup.get_text()) aitems = soup.find_all('a') # 获取标签a的连接和id for item in aitems: print(item["href"],item["id"]) # 一、经过css查找 print(soup.find_all("a", class_="sister")) # 输出:[<a class="sister" href="http://example.com/elsie" id="link1">Elsie</a>, # <a class="sister" href="http://example.com/lacie" id="link2">Lacie</a>, # <a class="sister" href="http://example.com/tillie" id="link3">Tillie</a>] print(soup.select("p.title")) # 输出:[<p class="title"><b>The Dormouse's story</b></p>] # 二、经过属性进行查找 print(soup.find_all("a", attrs={"class": "sister"})) #输出:[<a class="sister" href="http://example.com/elsie" id="link1">Elsie</a>, # <a class="sister" href="http://example.com/lacie" id="link2">Lacie</a>, # <a class="sister" href="http://example.com/tillie" id="link3">Tillie</a>] # 三、经过文本进行查找 print(soup.find_all(text="Elsie")) # 输出:['Elsie'] print(soup.find_all(text=["Tillie", "Elsie", "Lacie"])) # 输出:['Elsie', 'Lacie', 'Tillie'] # 四、限制结果个数 print(soup.find_all("a", limit=2)) #输出:[<a class="sister" href="http://example.com/elsie" id="link1">Elsie</a>, # <a class="sister" href="http://example.com/lacie" id="link2">Lacie</a>] print(soup.find_all(id="link2")) # [<a class="sister" href="http://example.com/lacie" id="link2">Lacie</a>] print(soup.find_all(id=True)) #输出:[<a class="sister" href="http://example.com/elsie" id="link1">Elsie</a>, # 输出:<a class="sister" href="http://example.com/lacie" id="link2">Lacie</a>, # <a class="sister" href="http://example.com/tillie" id="link3">Tillie</a>, # <div class="text" id="div1">测试</div>]