I have this JSON from Google GeoCode and I need to decode this and just get the administrative_area_level_2 and postal_code out of this then I am done. I can parse the results but after that I am not sure how to get the reset of the results. I tried to format this but it was not working. If you follow the link this is the formatted version.
I am trying to do this is JAVA, I know I could do this in PHP but I would rather do this in JAVA. Thank you in advance for your help.
http://maps.googleapis.com/maps/api/geocode/json?latlng=40.714224,-73.961452&sensor=false
{
"results" : [
{
"address_components" : [
{
"long_name" : "279-281",
"short_name" : "279-281",
"types" : [ "street_number" ]
},
{
"long_name" : "Bedford Ave",
"short_name" : "Bedford Ave",
"types" : [ "route" ]
},
{
"long_name" : "Williamsburg",
"short_name" : "Williamsburg",
"types" : [ "neighborhood", "political" ]
},
{
"long_name" : "Brooklyn",
"short_name" : "Brooklyn",
"types" : [ "sublocality", "political" ]
},
{
"long_name" : "Kings",
"short_name" : "Kings",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "New York",
"short_name" : "NY",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
},
{
"long_name" : "11211",
"short_name" : "11211",
"types" : [ "postal_code" ]
}
],
"formatted_address" : "279-281 Bedford Ave, Brooklyn, NY 11211, USA",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 40.71450470,
"lng" : -73.96128740
},
"southwest" : {
"lat" : 40.7139010,
"lng" : -73.961680
}
},
"location" : {
"lat" : 40.71422150,
"lng" : -73.96144540
},
"location_type" : "RANGE_INTERPOLATED",
"viewport" : {
"northeast" : {
"lat" : 40.71735047068017,
"lng" : -73.95833607931984
},
"southwest" : {
"lat" : 40.71105522931983,
"lng" : -73.96463132068017
}
}
},
"types" : [ "street_address" ]
},
{
"address_components" : [
{
"long_name" : "Williamsburg",
"short_name" : "Williamsburg",
"types" : [ "neighborhood", "political" ]
},
{
"long_name" : "New York",
"short_name" : "New York",
"types" : [ "locality", "political" ]
},
{
"long_name" : "Kings",
"short_name" : "Kings",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "New York",
"short_name" : "NY",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "Williamsburg, NY, USA",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 40.7182050,
"lng" : -73.9202810
},
"southwest" : {
"lat" : 40.6979330,
"lng" : -73.96984510
}
},
"location" : {
"lat" : 40.70644610,
"lng" : -73.95361629999999
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 40.7182050,
"lng" : -73.9202810
},
"southwest" : {
"lat" : 40.6979330,
"lng" : -73.96984510
}
}
},
"types" : [ "neighborhood", "political" ]
},
{
"address_components" : [
{
"long_name" : "11211",
"short_name" : "11211",
"types" : [ "postal_code" ]
},
{
"long_name" : "Brooklyn",
"short_name" : "Brooklyn",
"types" : [ "sublocality", "political" ]
},
{
"long_name" : "New York",
"short_name" : "New York",
"types" : [ "locality", "political" ]
},
{
"long_name" : "New York",
"short_name" : "NY",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "Brooklyn, NY 11211, USA",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 40.7261370,
"lng" : -73.92304290
},
"southwest" : {
"lat" : 40.69763590,
"lng" : -73.97616690
}
},
"location" : {
"lat" : 40.71800360,
"lng" : -73.96537150000002
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 40.7261370,
"lng" : -73.92304290
},
"southwest" : {
"lat" : 40.69763590,
"lng" : -73.97616690
}
}
},
"types" : [ "postal_code" ]
},
{
"address_components" : [
{
"long_name" : "Brooklyn",
"short_name" : "Brooklyn",
"types" : [ "sublocality", "political" ]
},
{
"long_name" : "New York",
"short_name" : "New York",
"types" : [ "locality", "political" ]
},
{
"long_name" : "Kings",
"short_name" : "Kings",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "New York",
"short_name" : "NY",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "Brooklyn, NY, USA",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 40.7394460,
"lng" : -73.8333650
},
"southwest" : {
"lat" : 40.55104190,
"lng" : -74.056630
}
},
"location" : {
"lat" : 40.650,
"lng" : -73.950
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 40.7394460,
"lng" : -73.8333650
},
"southwest" : {
"lat" : 40.55104190,
"lng" : -74.056630
}
}
},
"types" : [ "sublocality", "political" ]
},
{
"address_components" : [
{
"long_name" : "Kings",
"short_name" : "Kings",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "New York",
"short_name" : "NY",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "Kings, New York, USA",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 40.7394460,
"lng" : -73.8333650
},
"southwest" : {
"lat" : 40.55104190,
"lng" : -74.056630
}
},
"location" : {
"lat" : 40.65287620,
"lng" : -73.95949399999999
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 40.7394460,
"lng" : -73.8333650
},
"southwest" : {
"lat" : 40.55104190,
"lng" : -74.056630
}
}
},
"types" : [ "administrative_area_level_2", "political" ]
},
{
"address_components" : [
{
"long_name" : "New York",
"short_name" : "New York",
"types" : [ "locality", "political" ]
},
{
"long_name" : "New York",
"short_name" : "New York",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "New York",
"short_name" : "NY",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "New York, NY, USA",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 40.9175770,
"lng" : -73.7002720
},
"southwest" : {
"lat" : 40.4773990,
"lng" : -74.259090
}
},
"location" : {
"lat" : 40.71435280,
"lng" : -74.00597309999999
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 40.9175770,
"lng" : -73.7002720
},
"southwest" : {
"lat" : 40.4773990,
"lng" : -74.259090
}
}
},
"types" : [ "locality", "political" ]
},
{
"address_components" : [
{
"long_name" : "New York",
"short_name" : "NY",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "New York, USA",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 45.0158650,
"lng" : -71.7774910
},
"southwest" : {
"lat" : 40.4773990,
"lng" : -79.762590
}
},
"location" : {
"lat" : 43.29942850,
"lng" : -74.21793260000001
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 45.0158650,
"lng" : -71.7774910
},
"southwest" : {
"lat" : 40.4773990,
"lng" : -79.762590
}
}
},
"types" : [ "administrative_area_level_1", "political" ]
},
{
"address_components" : [
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "United States",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 71.53879999999999,
"lng" : -66.88507489999999
},
"southwest" : {
"lat" : 18.77630,
"lng" : 170.59570
}
},
"location" : {
"lat" : 37.090240,
"lng" : -95.7128910
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 71.53879999999999,
"lng" : -66.88507489999999
},
"southwest" : {
"lat" : 18.77630,
"lng" : 170.59570
}
}
},
"types" : [ "country", "political" ]
}
],
"status" : "OK"
}
I managed to figure it out. I wrote some code to loop through each object till I got what I needed from the String. I will post the code later today. Thank you for your help. Its just a lot of data, I thought maybe someone would have an easier way.