lxml是python的一个解析库，支持HTML和XML的解析，支持XPath解析方式，而且解析效率非常高
1.lxml的安装
pip install lxml
2.导入lxml 的 etree 库
from lxml import etree
3.利用etree.HTML，将字符串转化为Element对象,Element对象具有xpath的方法,返回结果的列表，能够接受bytes类型的数据和str类型的数据。
from lxml import etree
html = etree.HTML(response.text)
ret_list = html.xpath("xpath字符串")
也可以这样使用：
from lxml import etree
htmlDiv = etree.HTML(response.content.decode())
hrefs = htmlDiv.xpath("//h4//a/@href")
4.把转化后的element对象转化为字符串，返回bytes类型，etree.tostring(element)
假设我们现有如下的html字符换，尝试对他进行操作:
<div> <ul>
<li class="item-1"><a href="link1.html">first item</a></li>
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-inactive"><a href="link3.html">third item</a></li>
<li class="item-1"><a href="link4.html">fourth item</a></li>
<li class="item-0"><a href="link5.html">fifth item</a> # 注意，此处缺少一个 </li> 闭合标签
</ul> </div>
代码示例：
from lxml import etree
text = ''' <div> <ul>
<li class="item-1"><a href="link1.html">first item</a></li>
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-inactive"><a href="link3.html">third item</a></li>
<li class="item-1"><a href="link4.html">fourth item</a></li>
<li class="item-0"><a href="link5.html">fifth item</a>
</ul> </div> '''
html = etree.HTML(text)
print(type(html))
handeled_html_str = etree.tostring(html).decode()
print(handeled_html_str)
输出结果：
<class 'lxml.etree._Element'>
<html><body><div> <ul>
<li class="item-1"><a href="link1.html">first item</a></li>
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-inactive"><a href="link3.html">third item</a></li>
<li class="item-1"><a href="link4.html">fourth item</a></li>
<li class="item-0"><a href="link5.html">fifth item</a>
</li></ul> </div> </body></html>
可以发现，lxml确实能够把确实的标签补充完成，但是请注意lxml是人写的，很多时候由于网页不够规范，或者是lxml的bug。
即使参考url地址对应的响应去提取数据，任然获取不到，这个时候我们需要使用etree.tostring的方法，观察etree到底把html转化成了什么样子，即根据转化后的html字符串去进行数据的提取。
5.lxml的深入练习
from lxml import etree
text = ''' <div> <ul>
<li class="item-1"><a href="link1.html">first item</a></li>
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-inactive"><a href="link3.html">third item</a></li>
<li class="item-1"><a href="link4.html">fourth item</a></li>
<li class="item-0"><a href="link5.html">fifth item</a>
</ul> </div> '''
html = etree.HTML(text)
#获取href的列表和title的列表
href_list = html.xpath("//li[@class='item-1']/a/@href")
title_list = html.xpath("//li[@class='item-1']/a/text()")
#组装成字典
for href in href_list:
item = {}
item["href"] = href
item["title"] = title_list[href_list.index(href)]
print(item)
输出为：
{'href': 'link1.html', 'title': 'first item'}
{'href': 'link2.html', 'title': 'second item'}
{'href': 'link4.html', 'title': 'fourth item'}
6.lxml模块的进阶使用
返回的是element对象，可以继续使用xpath方法，对此我们可以在后面的数据提取过程中：先根据某个标签进行分组，分组之后再示例如下：
from lxml import etree
text = ''' <div> <ul>
<li class="item-1"><a>first item</a></li>
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-inactive"><a href="link3.html">third item</a></li>
<li class="item-1"><a href="link4.html">fourth item</a></li>
<li class="item-0"><a href="link5.html">fifth item</a>
</ul> </div> '''
html = etree.HTML(text)
li_list = html.xpath("//li[@class='item-1']")
print(li_list)
结果为：
[<Element li at 0x11106cb48>, <Element li at 0x11106cb88>, <Element li at 0x11106cbc8>]数据的提取
可以发现结果是一个element对象，这个对象能够继续使用xpath方法
先根据li标签进行分组，之后再进行数据的提取
from lxml import etree
text = ''' <div> <ul>
<li class="item-1"><a>first item</a></li>
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-inactive"><a href="link3.html">third item</a></li>
<li class="item-1"><a href="link4.html">fourth item</a></li>
<li class="item-0"><a href="link5.html">fifth item</a>
</ul> </div> '''
#根据li标签进行分组
html = etree.HTML(text)
li_list = html.xpath("//li[@class='item-1']")
#在每一组中继续进行数据的提取
for li in li_list:
item = {}
item["href"] = li.xpath("./a/@href")[0] if len(li.xpath("./a/@href"))>0 else None
item["title"] = li.xpath("./a/text()")[0] if len(li.xpath("./a/text()"))>0 else None
print(item)
结果是：
{'href': None, 'title': 'first item'}
{'href': 'link2.html', 'title': 'second item'}
{'href': 'link4.html', 'title': 'fourth item'}
7.案列：贴吧极速版：
代码如下：
import requests
from lxml import etree
class TieBaSpider:
def __init__(self, tieba_name):
#1. start_url
self.start_url= "http://tieba.baidu.com/mo/q---C9E0BC1BC80AA0A7CE472600CDE9E9E3%3AFG%3D1-sz%40320_240%2C-1-3-0--2--wapp_1525330549279_782/m?kw={}&lp=6024".format(tieba_name)
self.headers = {"User-Agent": "Mozilla/5.0 (Linux; Android 8.0; Pixel 2 Build/OPD3.170816.012) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/66.0.3359.139 Mobile Safari/537.36"}
self.part_url = "http://tieba.baidu.com/mo/q---C9E0BC1BC80AA0A7CE472600CDE9E9E3%3AFG%3D1-sz%40320_240%2C-1-3-0--2--wapp_1525330549279_782"
def parse_url(self,url): #发送请求，获取响应
# print(url)
response = requests.get(url,headers=self.headers)
return response.content
def get_content_list(self,html_str): #3. 提取数据
html = etree.HTML(html_str)
div_list = html.xpath("//body/div/div[contains(@class,'i')]")
content_list = []
for div in div_list:
item = {}
item["href"] = self.part_url+div.xpath("./a/@href")[0]
item["title"] = div.xpath("./a/text()")[0]
item["img_list"] = self.get_img_list(item["href"], [])
content_list.append(item)
#提取下一页的url地址
next_url = html.xpath("//a[text()='下一页']/@href")
next_url = self.part_url + next_url[0] if len(next_url)>0 else None
return content_list, next_url
def get_img_list(self,detail_url, img_list):
#1. 发送请求，获取响应
detail_html_str = self.parse_url(detail_url)
#2. 提取数据
detail_html = etree.HTML(detail_html_str)
img_list += detail_html.xpath("//img[@class='BDE_Image']/@src")
#详情页下一页的url地址
next_url = detail_html.xpath("//a[text()='下一页']/@href")
next_url = self.part_url + next_url[0] if len(next_url)>0 else None
if next_url is not None: #当存在详情页的下一页，请求
return self.get_img_list(next_url, img_list)
#else不用写
img_list = [requests.utils.unquote(i).split("src=")[-1] for i in img_list]
return img_list
def save_content_list(self,content_list):#保存数据
for content in content_list:
print(content)
def run(self): #实现主要逻辑
next_url = self.start_url
while next_url is not None:
#1. start_url
#2. 发送请求，获取响应
html_str = self.parse_url(next_url)
#3. 提取数据
content_list, next_url = self.get_content_list(html_str)
#4. 保存
self.save_content_list(content_list)
#5. 获取next_url，循环2-5
if __name__ == '__main__':
tieba = TieBaSpider("每日中国")
tieba.run()
