python json接口数据提取_Python解析json数据结构范例

from：http://bkeep.blog.163.com/blog/static/12341429020113156582685/

一、JSON的格式:

1,对象:

{name:"Peggy",email:"[email protected]",homepage:"http://www.peggy.com"}

{属性:值,属性:值,属性:值}

2,数组是有顺序的值的集合。一个数组开始于"["，结束于"]"，值之间用","分隔。

[

{name:"Peggy",email:"[email protected]",homepage:"http://www.peggy.com"},

{name:"Peggy",email:"[email protected]",homepage:"http://www.peggy.com"},

{name:"Peggy",email:"[email protected]",homepage:"http://www.peggy.com"}

]

3,值可以是字符串、数字、true、false、null，也可以是对象或数组。这些结构都能嵌套。

4,json示例：

import json

# Converting Python to JSON

json_object = json.write( python_object )

#注：read/write是json-py.py和minijson.py的方法，而python2.6开始自带的lib库里用的是simplejson.py，其没有read/write方法，而是load/loads/dump/dumps

# Converting JSON to Python

python_object = json.read( json_object )

5,simplejson示例：

import simplejson

# Converting Python to JSON

json_object = simplejson.dumps( python_object )

# Converting JSON to Python

python_object = simplejson.loads( json_object )

二、python从web接口上查询信息

1，先看个例子

>>> import urllib

>>> url='http://a.bkeep.com/page/api/saInterface/searchServerInfo.htm?serviceTag=729HH2X'

>>> page=urllib.urlopen(url)

>>> data=page.read()

>>> print data//这个就是json的数据结构，str类型

{"total":1,"data":[{"outGuaranteeTime":"","assetsNum":"B50070100007003","cabinet":"H05","deviceModel":"PowerEdge

1950","hostname":"hzshterm1.alibaba.com","logicSite":"中文站","memoryInfo":{"amount":4,"size":8192},"ip":"172.16.20.163","isOnline":true,"useState":"使用中","serviceTag":"729HH2X","cpuInfo":{"amount":2,"masterFrequency":1995,"model":"Intel(R) Xeon(R) CPUE5405@ 2.00GHz","coreNum":8,"l2CacheSize":6144},"cabinetPositionNum":"","buyTime":"2009-06-29","manageIp":"172.31.58.223","idc":"杭州德胜机房","responsibilityPerson":"张之诚"}],"errorMsg":"","isSuccess":true}

>>> type(data)

2，有了json数据结构，我却不知道怎么把它解析出来，幸亏有了李建辉的指导。大概思路是：

首先，json基本上是key/value的，python中就叫字典。既然是字典，那就应该安照读字典的方式去读。

将上面的data转为字典类型，这里用json模块的read方法。

>>> import json

>>> ddata=json.read(data)

>>> ddata

{'isSuccess': True, 'errorMsg':

'', 'total': 1, 'data': [{'isOnline': True, 'idc':

'\xe6\x9d\xad\xe5\xb7\x9e\xe5\xbe\xb7\xe8\x83\x9c\xe6\x9c\xba\xe6\x88\xbf',

'assetsNum': 'B50070100007003', 'responsibilityPerson':

'\xe5\xbc\xa0\xe4\xb9\x8b\xe8\xaf\x9a', 'deviceModel': 'PowerEdge 1950',

'serviceTag': '729HH2X', 'ip': '172.16.20.163', 'hostname':

'hzshterm1.alibaba.com', 'manageIp': '172.31.58.223', 'cabinet': 'H05',

'buyTime': '2009-06-29', 'useState':

'\xe4\xbd\xbf\xe7\x94\xa8\xe4\xb8\xad', 'memoryInfo': {'amount': 4,

'size': 8192}, 'cpuInfo': {'coreNum': 8, 'l2CacheSize': 6144, 'amount':

2, 'model': 'Intel(R) Xeon(R) CPUE5405@

2.00GHz', 'masterFrequency': 1995}, 'cabinetPositionNum': '',

'outGuaranteeTime': '', 'logicSite':

'\xe4\xb8\xad\xe6\x96\x87\xe7\xab\x99'}]}

>>>

看看ddata已经是dict类型了

>>> type(ddata)

其次，我们以读字典中key为”data”对应的键值

>>> ddata['data']//查看字典的方法！

[{'isOnline': True, 'idc':

'\xe6\x9d\xad\xe5\xb7\x9e\xe5\xbe\xb7\xe8\x83\x9c\xe6\x9c\xba\xe6\x88\xbf',

'assetsNum': 'B50070100007003', 'responsibilityPerson':

'\xe5\xbc\xa0\xe4\xb9\x8b\xe8\xaf\x9a', 'deviceModel': 'PowerEdge 1950',

'serviceTag': '729HH2X', 'ip': '172.16.20.163', 'hostname':

'hzshterm1.alibaba.com', 'manageIp': '172.31.58.223', 'cabinet': 'H05',

'buyTime': '2009-06-29', 'useState':

'\xe4\xbd\xbf\xe7\x94\xa8\xe4\xb8\xad', 'memoryInfo': {'amount': 4,

'size': 8192}, 'cpuInfo': {'coreNum': 8, 'l2CacheSize': 6144, 'amount':

2, 'model': 'Intel(R) Xeon(R) CPUE5405@

2.00GHz', 'masterFrequency': 1995}, 'cabinetPositionNum': '',

'outGuaranteeTime': '', 'logicSite':

'\xe4\xb8\xad\xe6\x96\x87\xe7\xab\x99'}]

>>>type(ddata[‘data’])

发现ddata[‘data’]是一个列表，列表就要用序号来查询

>>> ddata['data'][0]//查看列表的方法！

{'isOnline': True, 'idc':

'\xe6\x9d\xad\xe5\xb7\x9e\xe5\xbe\xb7\xe8\x83\x9c\xe6\x9c\xba\xe6\x88\xbf',

'assetsNum': 'B50070100007003', 'responsibilityPerson':

'\xe5\xbc\xa0\xe4\xb9\x8b\xe8\xaf\x9a', 'deviceModel': 'PowerEdge 1950',

'serviceTag': '729HH2X', 'ip': '172.16.20.163', 'hostname':

'hzshterm1.alibaba.com', 'manageIp': '172.31.58.223', 'cabinet': 'H05',

'buyTime': '2009-06-29', 'useState':

'\xe4\xbd\xbf\xe7\x94\xa8\xe4\xb8\xad', 'memoryInfo': {'amount': 4,

'size': 8192}, 'cpuInfo': {'coreNum': 8, 'l2CacheSize': 6144, 'amount':

2, 'model': 'Intel(R) Xeon(R) CPUE5405@

2.00GHz', 'masterFrequency': 1995}, 'cabinetPositionNum': '',

'outGuaranteeTime': '', 'logicSite':

'\xe4\xb8\xad\xe6\x96\x87\xe7\xab\x99'}

>>>

呵呵，ddata[‘data’]列表的0号元素是个字典。。

好，那我们查查key为idc的键值是多少

>>> ddata['data'][0]['idc']//查看字典的方法！

'\xe6\x9d\xad\xe5\xb7\x9e\xe5\xbe\xb7\xe8\x83\x9c\xe6\x9c\xba\xe6\x88\xbf'

>>> print ddata['data'][0]['idc']//呵呵，为什么print搞出来的是汉字呢？

杭州德胜机房

看到这里终于明白怎么解析json数据结构了。。。

那就是”一层一层往下剥”

-------------------------------------------------------------------------------

#! /usr/bin/env python

#coding=utf-8

import json

s

=

'[{"name":"鸟巢","point":{"lat":"39.990","lng":"116.397"},"desc":"奥运会主场

地"},{"name":"北大乒乓球馆","point":{"lat":"39.988","lng":"116.315"},"desc":"乒乓

球比赛场地"},{"name":"北京工人体育场","point":

{"lat":"39.930","lng":"116.446"},"desc":"足球比赛场地"}]'

locations = json.read(s)

#注：read是json-py.py和minijson.py的方法，而python2.6开始自带的lib库里用的是simplejson.py，其没有read方法，而是load/loads

print str(len(locations))

for location in locations:

print location["name"]

print location["point"]["lat"]

-------------------------------------------------------------------------------

#!/usr/local/bin/python

#coding = utf-8

importos

importjson Res='[{"brief":"ooooo","class_extid":13,"create_time":1131783174,"face_id":4,"flag":6777217,"flag_ext":0,"level":0,"max_member":100,"memo":"m~F~M0m~Zm~@~B","name":"10502","option":2,"ul":[{"flag":4,"u":285},{"flag":4,"u":35}]}]'

qDic = json.loads(Res)

foriinqDic:

printi["class_extid"]

forjini["ul"]:

printstr(j["flag"]) +"==="+str(j["u"])

=================================================================================

PS：更多范例请参考