python实现自动登录人人网并采集信息的方法
本文实例讲述了python实现自动登录人人网并采集信息的方法。分享给大家供大家参考。具体实现方法如下：
#!/usr/bin/python
#-*-coding:utf-8-*-
importsys
importre
importurllib2
importurllib
importcookielib
classRenren(object):
def__init__(self):
self.name=self.pwd=self.content=self.domain=self.origURL=''
self.operate=''#登录进去的操作对象
self.cj=cookielib.LWPCookieJar()
try:
self.cj.revert('./renren.coockie')
exceptException,e:
printe
self.opener=urllib2.build_opener(urllib2.HTTPCookieProcessor(self.cj))
urllib2.install_opener(self.opener)
defsetinfo(self,username,password,domain,origURL):
'''设置用户登录信息'''
self.name=username
self.pwd=password
self.domain=domain
self.origURL=origURL
deflogin(self):
'''登录人人网'''
params={
'domain':self.domain,
'origURL':self.origURL,
'email':self.name,
'password':self.pwd}
print'login.......'
req=urllib2.Request(
'http://www.renren.com/PLogin.do',
urllib.urlencode(params)
)
self.file=urllib2.urlopen(req).read()
newsfeed=open('news.html','w')
try:
newsfeed.write(self.file)
exceptException,e:
newsfeed.close()
self.operate=self.opener.open(req)
printtype(self.operate)
printself.operate.geturl()
ifself.operate.geturl():
print'Loggedonsuccessfully!'
self.cj.save('./renren.coockie')
self.__viewnewinfo()
else:
print'Loggedonerror'
def__viewnewinfo(self):
'''查看好友的更新状态'''
self.__caiinfo()
def__caiinfo(self):
'''采集信息'''
h3patten=re.compile('<article>(.*?)</article>')#匹配范围
apatten=re.compile('<h3.+>(.+)</h3>:')#匹配作者
cpatten=re.compile('</a>(.+)\s')#匹配内容
content=h3patten.findall(self.file)
printlen(content)
infocontent=self.operate.readlines()
printtype(infocontent)
print'friendnewinfo:'
foriininfocontent:
content=h3patten.findall(i)
iflen(content)!=0:
formincontent:
username=apatten.findall(m)
info=cpatten.findall(m)
iflen(username)!=0:
printusername[0],'说:',info[0]
print'----------------------------------------------'
else:
continue
ren=Renren()
username='username'#你的人人网的帐号
password='password'#你的人人网的密码
domain='www.renren.com'#人人网的地址
origURL='http://www.renren.com/home'#人人网登录以后的地址
ren.setinfo(username,password,domain,origURL)
ren.login()
希望本文所述对大家的Python序设计有所帮助。