解析数据(正则,xpath)

正则表达式拆分

import re

# 1.拆分字符串
one = 'asdsfsgsh'

# 标准 是 s 为拆分

pattern = re.compile('s')
result = pattern.split(one)
# print(result)

# 2.匹配中文
two = '<a href="https://www.baidu.com/" nslog="normal" nslog-type="10600112" data-href="https://www.baidu.com/s?ie=utf-8&amp;fr=bks0000&amp;wd=">网页是最新版本的,适配移动端</a>'

# python中 匹配中问 [a-z] unicode的范围 * + ?
pattern = re.compile('[\u4e00-\u9fa5]+')

result = pattern.findall(two)
print(result)

 

import re
import requests

url = 'http://news.baidu.com/'
headers = {
    "User-Agent": 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36'
}

# response.text 不太准确 转码 是靠推测
data = requests.get(url, headers=headers).content.decode()

# 正则解析 数据
#  每个新闻的titile, url

# <a href="http://news.cnr.cn/native/gd/20181028/t20181028_524397644.shtml" target="_blank" mon="r=1">民营经济再吃定心丸,民企当体会怎样深意</a>

pattern = re.compile('<a href="(.*?)" target="_blank" mon="(.*?)">(.*?)</a>')
# pattern = re.compile('<a (.*?)</a>',re.S)

result = pattern.findall(data)

print(result)

# with open('02news.html', 'w') as f:
#     f.write(data)
xpath解析
import re
import requests

# 安装支持 解析html和XML的解析库 lxml
# pip install lxml
from lxml import etree

url = 'http://news.baidu.com/'
headers = {
    "User-Agent": 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36'
}

# response.text 不太准确 转码 是靠推测
data = requests.get(url, headers=headers).content.decode()


# 1.转解析类型
xpath_data = etree.HTML(data)


# xpath 语法 1. 节点 /
#            2. 跨节点: //
#            3. 精确的标签: //a[@属性="属性值"]
#            4. 标签包裹的内容 text()
#            5. 属性:@href
#              xpath--s数据类型---list
# 2调用 xpath的方法
result = xpath_data.xpath('/html/head/title//text()')
result = xpath_data.xpath('//a/text()')
result = xpath_data.xpath('//a[@mon="ct=1&a=2&c=top&pn=18"]/text()')
result = xpath_data.xpath('//a[@mon="ct=1&a=2&c=top&pn=18"]/@href')
result = xpath_data.xpath('//li/a/text()')

print(result)

# with open('02news.html', 'w') as f:
#     f.write(data)

注意事项

from  lxml import etree

html = """
    <html>
    <body>
    <ul>
     <li>1
         <a href="">子</a>
     </li>
     <li>2
        <a href="">子</a>
     </li>
     <li>3
        <a href="">子</a>
     </li>
     <li>4
         <a href="">子</a>
     </li>
     <li>5
        <a href="">子</a>
     </li>
     
 </ul>
 </body>
 </html>
"""
# 1.转类型
x_data = etree.HTML(html)

# 2.xpath 下标 是从 1开始; 只能取 平级关系的标签
result = x_data.xpath('//li[5]/text()')


result = x_data.xpath('/html/body/ul/li/a/text()')
result = x_data.xpath('//a[2]')

print(result)

拆分实例

import requests
from lxml import etree
import json


class BtcSpider(object):
    def __init__(self):
        self.base_url = 'http://8btc.com/forum-61-'
        self.headers = {
            "User-Agent": 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36'
        }

        self.data_list = []

    # 1.发请求
    def get_response(self, url):
        response = requests.get(url, headers=self.headers)
        # 网页的 编码到底 是 gbk 还是 urf-8  head--meta-charset=""
        # 原因 是 抓取 网页的 编码 就是 gbk的 所以 解码的时候 也是要gbk
        # data = response.content.decode('gbk')
        data = response.content
        return data

    # 2.解析数据
    def parse_data(self, data):
        # 使用xpath 解析当前页面 所有的 新闻title 和url 保存
        # 1.转类型
        x_data = etree.HTML(data)

        # 2.根据xpath路径解析
        # 路径 1. 纯手写  2. 借助浏览器的 右击 粘贴xpath路径; 需要修改
        title_list = x_data.xpath('//a[@class="s xst"]/text()')
        # title_list = x_data.xpath('//form[@id="moderate"]/div/div[2]/div/a[@class="s xst"]/text()')
        url_list = x_data.xpath('//a[@class="s xst"]/@href')

        for index, title in enumerate(title_list):
            news = {}
            # print(index)
            # print(title)
            news['name'] = title
            news['url'] = url_list[index]
            self.data_list.append(news)

    # 3.保存数据
    def save_data(self):

        # 将 list---str
        data_str = json.dumps(self.data_list)
        with open('05btc.json', 'w') as f:
            f.write(data_str)

    # 4.启动
    def run(self):

        for i in range(1, 5):
            # 1.拼接 完整url
            url = self.base_url + str(i) + '.html'
            print(url)
            # 2.发请求
            data = self.get_response(url)

            # 3.做解析
            self.parse_data(data)
        # 4.保存
        self.save_data()


BtcSpider().run()

 

posted @ 2019-03-29 23:58  ^sun^  阅读(576)  评论(0编辑  收藏  举报