测试开发Python培训：抓取新浪微博评论提取目标数据-技术篇
测试开发Python培训：抓取新浪微博评论提取目标数据-技术篇
在前面我分享了几个新浪微博的自动化脚本的实现，下面我们继续实现新的需求,功能需求如下：
1，登陆微博
2，抓取评论页内容
3，用正则表达式过滤出用户名，评论时间和评论内容
4，内容存入数据库
5，统计评论次数
# -*- coding: utf-8 -*-
import requests
import base64
import re
import urllib
import rsa
import json
import binascii
import MySQLdb
class Userlogin:
def userlogin(self,username,password,pagecount):
session = requests.Session()
url_prelogin = 'http://login.sina.com.cn/sso/prelogin.php?entry=weibo&callback=sinaSSOController.preloginCallBack&su=&rsakt=mod&client=ssologin.js(v1.4.5)&_=1364875106625'
url_login = 'http://login.sina.com.cn/sso/login.php?client=ssologin.js(v1.4.5)'
#get servertime,nonce, pubkey,rsakv
resp = session.get(url_prelogin)
json_data = re.search('\((.*)\)', resp.content).group(1)
data = json.loads(json_data)
servertime = data['servertime']
nonce = data['nonce']
pubkey = data['pubkey']
rsakv = data['rsakv']
# calculate su
su = base64.b64encode(urllib.quote(username))
#calculate sp
rsaPublickey= int(pubkey,16)
key = rsa.PublicKey(rsaPublickey,65537)
message = str(servertime) +'\t' + str(nonce) + '\n' + str(password)
sp = binascii.b2a_hex(rsa.encrypt(message,key))
postdata = {
'entry': 'weibo',
'gateway': '1',
'from': '',
'savestate': '7',
'userticket': '1',
'ssosimplelogin': '1',
'vsnf': '1',
'vsnval': '',
'su': su,
'service': 'miniblog',
'servertime': servertime,
'nonce': nonce,
'pwencode': 'rsa2',
'sp': sp,
'encoding': 'UTF-8',
'url': 'http://weibo.com/ajaxlogin.php?framelogin=1&callback=parent.sinaSSOController.feedBackUrlCallBack',
'returntype': 'META',
'rsakv' : rsakv,
}
resp = session.post(url_login,data=postdata)
# print resp.headers
login_url = re.findall('replace\(\'(.*)\'\)',resp.content)
#
respo = session.get(login_url[0])
uid = re.findall('"uniqueid":"(\d+)",',respo.content)[0]
url = "http://weibo.com/u/"+uid
respo = session.get(url)
# print respo.content #获取首页的内容html
#以上为成功登陆微博
################################################################################
#获取数据库连接
conn = MySQLdb.connect(host='localhost',user='root',passwd='root',db='weiboanalysis',charset='utf8')
curs = conn.cursor()
curs.execute('delete from outbox')
myheaders={}
myheaders['set-cookie'] = resp.headers['set-cookie']
myheaders['Referer'] = 'http://weibo.com/comment/inbox?leftnav=1&wvr=5'
# print myheaders
#以下是开始抓取信息
for i in range(1,int(pagecount)+1):
forwardUrl = """http://weibo.com/comment/inbox?topnav=1&wvr=5&f=1&page=%d"""%i
r = session.post(forwardUrl,headers=myheaders)
page = r.content
# print page
#获取并过滤出用户名，存在pagename数组
pagename = re.findall('<a\s*title=[^>]*usercard[^>]*>',page)
for n in range(0,len(pagename)):
pagename[n] = pagename[n].split('\\"')[1]
#获取并过滤出评论时间，存在pagetime数组
pagetime = re.findall('WB_time S_func2[^>]*>[^>]*>',page)
for t in range(0,len(pagetime)):
pagetime[t] = pagetime[t].split('>')[1].split('<')[0]
#获取并过滤出评论内容，存在pagecont数组
pagecont={}
pagecontent = re.findall(r'<p class=\\\"detail\\(.*?)<\\\/p>',page)
for t in range(0,len(pagecontent)):
a = pagecontent[t].split("<\/a>")
b = a[len(a)-1]
c = re.sub(r"<img(.*?)>",'[表情]',b) #去掉图片表情
d = re.sub(r"<span(.*?)span>",'',c)
pagecont[t] = re.sub(r"\\t|:|：",'',d) #去掉最后的/t和最前的冒号
for index in range(0,len(pagetime)):
sql = """ insert into outbox(uname,time,text) values('%s','%s','%s')"""%(pagename[index],pagetime[index],pagecont[index])
curs.execute(sql)
conn.commit()
curs.close()
conn.close()
通过数据库读取数据，主要是为了验证功能。
# -*- encoding:utf-8 -*-
__author__ = 'lanzao'
import MySQLdb
class OutboxAnalysis:
def getMost(self,num):<span style="white-space:pre"> </span>#查看评论最多的前num个人
conn = MySQLdb.connect(host='localhost',user='root',passwd='root',db='weiboanalysis',charset='utf8')
curs = conn.cursor()
sql="""
select uid,uname,count(uname) as count
from outbox
group by uname
order by count(uname) desc
limit %d;
"""% int(num)
curs.execute(sql)
conn.commit()
print "******************评论次数排行榜************************"
for item in curs.fetchall():
print item[1]+" ",str(item[2])+"次"
print "*******************************************************"
curs.close()
conn.close()
def getUser(self,user):<span style="white-space:pre"> </span>#查看某用户评论
conn = MySQLdb.connect(host='localhost',user='root',passwd='root',db='weiboanalysis',charset='utf8')
curs = conn.cursor()
curs.execute("""select * from outbox where uname='%s'"""%user)
print "*****************************************"
for item in curs.fetchall():
print item[1]+" ",item[2]+" ",item[3]
print "*****************************************"
curs.close()
conn.close()
上一层可以通过数据驱动模块，处理excel表，进行驱动，调用以上代码实现自动化测试。