xpath基本概念
xpath解析:最常用且最便捷高效的一种解析方式。通用性强。
xpath解析原理
1.实例化一个etree的对象,且需要将被解析的页面源码数据加载到该对象中
2.调用etree对象中的xpath方法结合xpath表达式实现标签的定位和内容的捕获。
环境安装
pip?install?lxml
如何实例化一个etree对象
from?lxml?import?etree
1.将本地的html文件中的远吗数据加载到etree对象中:
etree.parse(filePath)
2.可以将从互联网上获取的原码数据加载到该对象中:
etree.HTML(‘page_text')
xpath(‘xpath表达式’)
1./:表示的是从根节点开始定位。表示一个层级
2.//:表示多个层级。可以表示从任意位置开始定位
3.属性定位://div[@class='song'] tag[@attrName='attrValue']
4.索引定位://div[@class='song']/p[3] 索引从1开始的
5.取文本:
/text()获取的是标签中直系的文本内容 //text()标签中非直系的文本内容(所有文本内容)6.取属性:/@attrName ==>img/src
xpath爬取58二手房实例
完整代码
from?lxml?import?etree import?requests if?__name__?==?'__main__': ????headers?=?{ ????????'User-Agent':?'Mozilla/5.0?(Windows?NT?10.0;?Win64;?x64)?AppleWebKit/537.36?(KHTML,?like?Gecko)?Chrome/84.0.4147.105?Safari/537.36' ????} ????url?=?'https://xa.58测试数据/ershoufang/' ????page_text?=?requests.get(url=url,headers=headers).text ????tree?=?etree.HTML(page_text) ????div_list?=?tree.xpath('//section[@class="list"]/div') ????fp?=?open('./58同城二手房.txt','w',encoding='utf-8') ????for?div?in?div_list: ????????title?=?div.xpath('.//div[@class="property-content-title"]/h3/text()')[0] ????????print(title) ????????fp.write(title+'\n'+'\n')
xpath图片解析下载实例
完整代码
import?requests,os from?lxml?import?etree if?__name__?==?'__main__': ????headers?=?{ ????????'User-Agent':?'Mozilla/5.0?(Windows?NT?10.0;?Win64;?x64)?AppleWebKit/537.36?(KHTML,?like?Gecko)?Chrome/84.0.4147.105?Safari/537.36' ????} ????url?=?'https://pic.netbian测试数据/4kmeinv/' ????page_text?=?requests.get(url=url,headers=headers).text ????tree?=?etree.HTML(page_text) ????li_list?=?tree.xpath('//div[@class="slist"]/ul/li/a') ????if?not?os.path.exists('./piclibs'): ????????os.mkdir('./piclibs') ????for?li?in?li_list: ????????detail_url?='https://pic.netbian测试数据'?+?li.xpath('./img/@src')[0] ????????detail_name?=?li.xpath('./img/@alt')[0]+'.jpg' ????????detail_name?=?detail_name.encode('iso-8859-1').decode('GBK') ????????detail_path?=?'./piclibs/'?+?detail_name ????????detail_data?=?requests.get(url=detail_url,?headers=headers).content ????????with?open(detail_path,'wb')?as?fp: ????????????fp.write(detail_data) ????????????print(detail_name,'seccess!!')
xpath爬取全国城市名称实例
完整代码
import?requests from?lxml?import?etree if?__name__?==?'__main__': ????url?=?'https://HdhCmsTestaqistudy.cn/historydata/' ????headers?=?{ ????????'User-Agent':?'Mozilla/5.0?(Windows?NT?10.0;?Win64;?x64)?AppleWebKit/537.36?(KHTML,?like?Gecko)?Chrome/87.0.4280.141?Safari/537.36', ????} ????page_text?=?requests.get(url=url,headers=headers).content.decode('utf-8') ????tree?=?etree.HTML(page_text) ????#热门城市???//div[@class="bottom"]/ul/li ????#全部城市???//div[@class="bottom"]/ul/div[2]/li ????a_list?=?tree.xpath('//div[@class="bottom"]/ul/li?|?//div[@class="bottom"]/ul/div[2]/li') ????fp?=?open('./citys.txt','w',encoding='utf-8') ????i?=?0 ????for?a?in?a_list: ????????city_name?=?a.xpath('.//a/text()')[0] ????????fp.write(city_name+'\t') ????????i=i+1 ????????if?i?==?6: ????????????i?=?0 ????????????fp.write('\n') ????print('爬取成功')
xpath爬取简历模板实例
完整代码
import?requests,os from?lxml?import?etree if?__name__?==?'__main__': ????url?=?'https://sc.chinaz测试数据/jianli/free.html' ????headers?=?{ ????????'User-Agent':?'Mozilla/5.0?(Windows?NT?10.0;?Win64;?x64)?AppleWebKit/537.36?(KHTML,?like?Gecko)?Chrome/87.0.4280.141?Safari/537.36', ????} ????page_text?=?requests.get(url=url,headers=headers).content.decode('utf-8') ????tree?=?etree.HTML(page_text) ????a_list?=?tree.xpath('//div[@class="box?col3?ws_block"]/a') ????if?not?os.path.exists('./简历模板'): ????????os.mkdir('./简历模板') ????for?a?in?a_list: ????????detail_url?=?'https:'+a.xpath('./@href')[0] ????????detail_page_text?=?requests.get(url=detail_url,headers=headers).content.decode('utf-8') ????????detail_tree?=?etree.HTML(detail_page_text) ????????detail_a_list?=?detail_tree.xpath('//div[@class="clearfix?mt20?downlist"]/ul/li[1]/a') ????????for?a?in?detail_a_list: ????????????download_name?=?detail_tree.xpath('//div[@class="ppt_tit?clearfix"]/h1/text()')[0] ????????????download_url?=?a.xpath('./@href')[0] ????????????download_data?=?requests.get(url=download_url,headers=headers).content ????????????download_path?=?'./简历模板/'+download_name+'.rar' ????????????with?open(download_path,'wb')?as?fp: ????????????????fp.write(download_data) ????????????????print(download_name,'success!!')
以上就是一个Python案例带你掌握xpath数据解析方法的详细内容,更多关于Python xpath数据解析的资料请关注其它相关文章!
查看更多关于一个Python案例带你掌握xpath数据解析方法的详细内容...
声明:本文来自网络,不代表【好得很程序员自学网】立场,转载请注明出处:http://www.haodehen.cn/did99865