C# Newtonsoft.Json解析数组的小例子
https://www.cnblogs.com/mazhenyu/p/10033082.html
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{
"status": 0,
"message": "query ok",
"result": {
"address": "北京市海淀区彩和坊路海淀西大街74号",
"address_component": {
"province": "北京市",
"city": "北京市",
"district": "海淀区",
"street": "彩和坊路",
"street_number": "海淀西大街74号"
},
"pois": [
{
"id": "3629720141162880123",
"title": "中国技术交易大厦",
"address": "北京市海淀区北四环西路66号",
"category": "房产小区;商务楼宇",
"location": {
"lat": "39.984122",
"lng": "116.307484"
},
"_distance": "3.6"
},
{
"id": "2845372667492951071",
"title": "中国技术交易大厦A座",
"address": "北京市海淀区北四环西路66号",
"category": "房产小区;商务楼宇",
"location": {
"lat": "39.984273",
"lng": "116.307577"
},
"_distance": "15.2"
},
{
"id": "12925244666643621769",
"title": "中国技术交易大厦B座",
"address": "北京市海淀区北四环西路66号",
"category": "房产小区;商务楼宇",
"location": {
"lat": "39.983902",
"lng": "116.307588"
},
"_distance": "29.3"
},
{
"id": "7472400256925846331",
"title": "中国化工博物馆",
"address": "海淀区北四环西路62号中国化工集团大厦3楼(海淀桥西)",
"category": "文化场馆;博物馆",
"location": {
"lat": "39.984582",
"lng": "116.308877"
},
"_distance": "127.5"
},
{
"id": "16243165360295251323",
"title": "贝塔咖啡",
"address": "北京市海淀区北四环西路66号中关村第三极大厦1层西北侧",
"category": "娱乐休闲;咖啡厅",
"location": {
"lat": "39.984391",
"lng": "116.307380"
},
"_distance": "28.0"
},
{
"id": "7246616758286733108",
"title": "基督教堂",
"address": "北京市海淀区彩和坊路9号",
"category": "旅游景点;教堂",
"location": {
"lat": "39.983146",
"lng": "116.307507"
},
"_distance": "112.2"
},
{
"id": "8627298709465036679",
"title": "北京三木和商店",
"address": "北京市海淀区北四环西路66号中关村文化商厦三层D-006-009单元",
"category": "购物;综合商场",
"location": {
"lat": "39.984093",
"lng": "116.307983"
},
"_distance": "42.6"
},
{
"id": "12020256857742021617",
"title": "图书城昊海楼",
"address": "北京市海淀区海淀西街36号",
"category": "房产小区;住宅区;住宅小区",
"location": {
"lat": "39.984400",
"lng": "116.306794"
},
"_distance": "65.4"
},
{
"id": "10394251724976454044",
"title": "北京点点酷东东商贸中心海淀分部",
"address": "北京市海淀区北四环西路66号中关村文化商厦2B001",
"category": "购物;综合商场",
"location": {
"lat": "39.984093",
"lng": "116.307983"
},
"_distance": "42.6"
},
{
"id": "16427755502147943355",
"title": "北京资源燕园宾馆",
"address": "北京市海淀区颐和园路1号",
"category": "酒店宾馆;星级酒店",
"location": {
"lat": "39.986712",
"lng": "116.305822"
},
"_distance": "318.3"
}
]
}
}
我使用HttpRequest获取了这部分信息
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HttpWebRequest request = (HttpWebRequest)result.AsyncState;
HttpWebResponse response = (HttpWebResponse)(request.EndGetResponse(result));
stream = response.GetResponseStream();
StreamReader reader = new StreamReader(stream, false);
string apiText = reader.ReadToEnd();
JObject jsonObj = null;
try
{
jsonObj = JObject.Parse(apiText);
if (jsonObj.Count == 1 || (int)(jsonObj["status"]) != 0) this.isError = true;
else
{
string provinceName = (string)jsonObj["result"]["address_component"]["province"];
string cityName = this.cityName_s = (string)jsonObj["result"]["address_component"]["city"];
string districtName = (string)jsonObj["result"]["address_component"]["district"];
string street = (string)jsonObj["result"]["address_component"]["street"];
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/下面是解析JArray的部分/
JArray jlist = JArray.Parse(jsonObj["result"]["pois"].ToString()); //将pois部分视为一个JObject,JArray解析这个JObject的字符串
LocationItem locationitem = null; //存储附近的某个地点的信息
locations = new List
for(int i = 0; i < jlist.Count ; ++i) //遍历JArray
{
locationitem = new LocationItem();
JObject tempo = JObject.Parse(jlist[i].ToString());
locationitem.id = tempo["id"].ToString();
locationitem.title = tempo["title"].ToString();
locationitem._distance = tempo["_distance"].ToString();
locationitem.address = tempo["address"].ToString();
locationitem.category = tempo["category"].ToString();
locationitem.location.lat = tempo["location"]["lat"].ToString();
locationitem.location.lng = tempo["location"]["lng"].ToString();
locations.Add(locationitem);
}
}
}
catch (Exception)
{
isError = true;
}
其中使用了两个类
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public class LngLat
{
public string lat { get; set; }
public string lng { get; set; }
}
public class LocationItem
{
public string id{get;set;} //
public string title { get; set; } //名称
public string address { get; set; } //地址
public string category { get; set; } //类型
public LngLat location { get; set; } //经纬度
public string _distance { get; set; } //距离(米)
public LocationItem()
{
id = "0";
title = "";
address = "";
_distance = "0";
location = new LngLat { lng = "0", lat = "0" };
category = "";
}
}
这样就完成了这个复杂json数据的解析。JSON数组访问还有用数组下标方式的,那个就需要数组至少要有足够的个数,如要取得上面那个json数据的 中国技术大厦A座 ,就是用 jsonObj["result"]["pois"][1]["title"].ToString() ,即访问了result下pois数组的第2个节点的title信息,但是要遍历所有的数据就明显不如JArray方便了