数据获取的几种方法

方法一：正则表达式

import re
import urllib2
＃不需要代理的
res = urllib2.urlopen(url).read()
#需要代理使用这个
ueser-agent = 'user'
headers ={'User-agent':ueser-agent}
request = urllib2.Request(url,headers = headers)
opener = urllib2.build_opener()
 proxy_params = {urlparse.urlparse(url).scheme:proxy}
opener.add_heandler(urllib2.ProxyHandler(proxy_params))
res = opener.open(request).read()
print(res)
#Regular是需要匹配数据的正则表达式
print(re.findall(Regular,res))

方法二：Beautiful Soup

安装：

　　pip install beautifulsoup4

import re
import urllib2
from bs4 import BeautifulSoup
＃不需要代理的
res = urllib2.urlopen(url).read()
#需要代理使用这个
ueser-agent = 'user'
headers ={'User-agent':ueser-agent}
request = urllib2.Request(url,headers = headers)
opener = urllib2.build_opener()
 proxy_params = {urlparse.urlparse(url).scheme:proxy}
opener.add_heandler(urllib2.ProxyHandler(proxy_params))
res = opener.open(request).read()
print(res)

soup = BeautifulSoup(res,'html-parser')
fixed_html = soup.prettity()
print(fixed_html)
#查找标签对应的数据
#tag标签名,如'ul'，attr标签属性及属性值组成的键值对，数据类型为字典，如：{'class':'country'}
#查找单个标签
tagData = soup.find(tag,attrs=attr)
#查找同名的标签集
tagsData = soup.find_all(tag)

方发三：Lxml

安装

　　pip install lxml

import re
import urllib2
import lxml
#不需要代理的
res = urllib2.urlopen(url).read()
#需要代理使用这个
ueser-agent = 'user'
headers ={'User-agent':ueser-agent}
request = urllib2.Request(url,headers = headers)
opener = urllib2.build_opener()
 proxy_params = {urlparse.urlparse(url).scheme:proxy}
opener.add_heandler(urllib2.ProxyHandler(proxy_params))
res = opener.open(request).read()
print(res)

tree = lxml.html.fromstring(res)
td = tree.cssselect('tr#place>td.area')[0]
area = td.text_content()
print(area)

 

　　

转载于:https://www.cnblogs.com/navysummer/p/9938650.html