你以为Python爬虫只能爬取网页数据吗？APP也是可以的呢！

摘要

大多数APP里面返回的是json格式数据，或者一堆加密过的数据 。这里以超级课程表APP为例，抓取超级课程表里用户发的话题。

1

抓取APP数据包

方法详细可以参考这篇博文：http://my.oschina.net/jhao104/blog/605963

得到超级课程表登录的地址：http://120.55.151.61/V2/StudentSkip/loginCheckV4.action

表单：

表单中包括了用户名和密码，当然都是加密过了的，还有一个设备信息，直接post过去就是。

另外必须加header,一开始我没有加header得到的是登录错误，所以要带上header信息。

2

登录

登录代码：

import urllib2

from cookielib import CookieJar

loginUrl = 'http://120.55.151.61/V2/StudentSkip/loginCheckV4.action' headers = {

'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',

'User-Agent': 'Dalvik/1.6.0 (Linux; U; Android 4.1.1; M040 Build/JRO03H)',

'Host': '120.55.151.61',

'Connection': 'Keep-Alive',

'Accept-Encoding': 'gzip',

'Content-Length': '207',

}

loginData = 'phoneBrand=Meizu&platform=1&deviceCode=868033014919494&account=FCF030E1F2F6341C1C93BE5BBC422A3D&phoneVersion=16&password=A55B48BB75C79200379D82A18C5F47D6&channel=MXMarket&phoneModel=M040&versionNumber=7.2.1&'

cookieJar = CookieJar()

opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(cookieJar))

req = urllib2.Request(loginUrl, loginData, headers)

loginResult = opener.open(req).read()

print loginResult

登录成功 会返回一串账号信息的json数据

和抓包时返回数据一样，证明登录成功

3

抓取数据

用同样方法得到话题的url和post参数

做法就和模拟登录网站一样。详见：http://my.oschina.net/jhao104/blog/547311

下见最终代码，有主页获取和下拉加载更新。可以无限加载话题内容。

#!/usr/local/bin/python2.7 # -*- coding: utf8 -*- """

超级课程表话题抓取

""" import urllib2

from cookielib import CookieJar

import json

''' 读Json数据 ''' def fetch_data(json_data):

data = json_data['data']

timestampLong = data['timestampLong']

messageBO = data['messageBOs']

topicList = []

for each in messageBO:

topicDict = {}

if each.get('content', False):

topicDict['content'] = each['content']

topicDict['schoolName'] = each['schoolName']

topicDict['messageId'] = each['messageId']

topicDict['gender'] = each['studentBO']['gender']

topicDict['time'] = each['issueTime']

print each['schoolName'],each['content']

topicList.append(topicDict)

return timestampLong, topicList

''' 加载更多 ''' def load(timestamp, headers, url):

headers['Content-Length'] = '159'

loadData = 'timestamp=%s&phoneBrand=Meizu&platform=1&genderType=-1&topicId=19&phoneVersion=16&selectType=3&channel=MXMarket&phoneModel=M040&versionNumber=7.2.1&' % timestamp

req = urllib2.Request(url, loadData, headers)

loadResult = opener.open(req).read()

loginStatus = json.loads(loadResult).get('status', False)

if loginStatus == 1:

print 'load successful!'

timestamp, topicList = fetch_data(json.loads(loadResult))

load(timestamp, headers, url)

else:

print 'load fail'

print loadResult

return False loginUrl = 'http://120.55.151.61/V2/StudentSkip/loginCheckV4.action' topicUrl = 'http://120.55.151.61/V2/Treehole/Message/getMessageByTopicIdV3.action' headers = {

'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',

'User-Agent': 'Dalvik/1.6.0 (Linux; U; Android 4.1.1; M040 Build/JRO03H)',

'Host': '120.55.151.61',

'Connection': 'Keep-Alive',

'Accept-Encoding': 'gzip',

'Content-Length': '207',

}

''' ---登录部分--- '''

loginData = 'phoneBrand=Meizu&platform=1&deviceCode=868033014919494&account=FCF030E1F2F6341C1C93BE5BBC422A3D&phoneVersion=16&password=A55B48BB75C79200379D82A18C5F47D6&channel=MXMarket&phoneModel=M040&versionNumber=7.2.1&'

cookieJar = CookieJar()

opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(cookieJar))

req = urllib2.Request(loginUrl, loginData, headers)

loginResult = opener.open(req).read()

loginStatus = json.loads(loginResult).get('data', False)

if loginResult:

print 'login successful!' else:

print 'login fail'

print loginResult

''' ---获取话题--- '''

topicData = 'timestamp=0&phoneBrand=Meizu&platform=1&genderType=-1&topicId=19&phoneVersion=16&selectType=3&channel=MXMarket&phoneModel=M040&versionNumber=7.2.1&'

headers['Content-Length'] = '147'

topicRequest = urllib2.Request(topicUrl, topicData, headers)

topicHtml = opener.open(topicRequest).read()

topicJson = json.loads(topicHtml)

topicStatus = topicJson.get('status', False)

print topicJson

if topicStatus == 1:

print 'fetch topic success!'

timestamp, topicList = fetch_data(topicJson)

load(timestamp, headers, topicUrl)

结果：

作者：编程新视野
链接：https://www.jianshu.com/p/15305f284f82