Python爬虫:抓取手机APP的数据
Posted 派森学python
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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
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:
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