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I am using MapclickListener onclick of map getting latlng I am geocoding them I want the place id from that geocoded address and the places details using that address.
mMap.setOnMapClickListener(new GoogleMap.OnMapClickListener() {
#Override
public void onMapClick(LatLng latLng) {
mMap.clear();
mMap.addMarker(new MarkerOptions()
.position(latLng));
Geocoder geocoder = new Geocoder(context, Locale.ENGLISH);
try {
List<Address> addressList = geocoder.getFromLocation(latLng.latitude,latLng.longitude,1);
// Get geocode address
// ***https://maps.googleapis.com/maps/api/geocode/json?address=Address&key=GOOGLE_KEY***
// Get place_id using this address
// Get place details using the place_id
} catch (IOException e) {
e.printStackTrace();
}
mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(latLng, DEFAULT_ZOOM));
}
});
You have to make two API calls
First would be -
https://maps.googleapis.com/maps/api/place/nearbysearch/json?location=-33.8670522,151.1957362&radius=500&types=food&name=cruise&key=YOUR_API_KEY
Here you will get JSON:
{
"html_attributions" : [],
"results" : [
{
"geometry" : {
"location" : {
"lat" : -33.870775,
"lng" : 151.199025
}
},
...
"place_id" : "ChIJrTLr-GyuEmsRBfy61i59si0",
...
}
],
"status" : "OK"
}
After you get your json, your next step would be to call -
https://maps.googleapis.com/maps/api/geocode/json?place_id=ChIJrTLr-GyuEmsRBfy61i59si0&key=YOUR_API_KEY
Were you will get json like this:
{
"html_attributions" : [],
"result" : {
"address_components" : [
{
"long_name" : "5",
"short_name" : "5",
"types" : [ "floor" ]
}
],
"adr_address" : "5, \u003cspan class=\"street-address\"\u003e48 Pirrama Rd\u003c/span\u003e, \u003cspan class=\"locality\"\u003ePyrmont\u003c/span\u003e \u003cspan class=\"region\"\u003eNSW\u003c/span\u003e \u003cspan class=\"postal-code\"\u003e2009\u003c/span\u003e, \u003cspan class=\"country-name\"\u003eAustralia\u003c/span\u003e",
"formatted_address" : "5, 48 Pirrama Rd, Pyrmont NSW 2009, Australia",
"formatted_phone_number" : "(02) 9374 4000",
"geometry" : {
"location" : {
"lat" : -33.866651,
"lng" : 151.195827
},
"viewport" : {
"northeast" : {
"lat" : -33.8653881697085,
"lng" : 151.1969739802915
},
"southwest" : {
"lat" : -33.86808613029149,
"lng" : 151.1942760197085
}
}
},
"icon" : "https://maps.gstatic.com/mapfiles/place_api/icons/generic_business-71.png",
"id" : "4f89212bf76dde31f092cfc14d7506555d85b5c7",
"international_phone_number" : "+61 2 9374 4000",
"name" : "Google",
"place_id" : "ChIJN1t_tDeuEmsRUsoyG83frY4",
"rating" : 4.5,
"reference" : "CmRSAAAAjiEr2_A4yI-DyqGcfsceTv-IBJXHB5-W3ckmGk9QAYk4USgeV8ihBcGBEK5Z1w4ajRZNVAfSbROiKbbuniq0c9rIq_xqkrf_3HpZzX-pFJuJY3cBtG68LSAHzWXB8UzwEhAx04rgN0_WieYLfVp4K0duGhTU58LFaqwcaex73Kcyy0ghYOQTkg",
"reviews" : [
{
"author_name" : "Robert Ardill",
"author_url" : "https://www.google.com/maps/contrib/106422854611155436041/reviews",
"language" : "en",
"profile_photo_url" : "https://lh3.googleusercontent.com/-T47KxWuAoJU/AAAAAAAAAAI/AAAAAAAAAZo/BDmyI12BZAs/s128-c0x00000000-cc-rp-mo-ba1/photo.jpg",
"rating" : 5,
"relative_time_description" : "a month ago",
"text" : "Awesome offices. Great facilities, location and views. Staff are great hosts",
"time" : 1491144016
}
],
"scope" : "GOOGLE",
"types" : [ "point_of_interest", "establishment" ],
"url" : "https://maps.google.com/?cid=10281119596374313554",
"utc_offset" : 600,
"vicinity" : "5, 48 Pirrama Road, Pyrmont",
"website" : "https://www.google.com.au/about/careers/locations/sydney/"
},
"status" : "OK"
}
BUT: You can also use google geocode lib, where you should add a lot of code and google client inizialization.
Consider below JSON response of google map gecoding response.
It consists of an array of address_components with five elements.
Usually developer use its first item (item with index 0) to find address elements such ac route and locality and formatted address. But this is not the best alternative. For example in this case, 2nd item is more descriptive address than others. Sometime there are same address with different localities in same response.
How can I choose the better one (E.g. Google Map API in android selects one among available item but it is not always item with index 0, but it select among alternatives, I want to know how it will do that and select the best match)?
Besides, I was wondering to iterate through all elements of different address_components to extract and bring together finer pieces of information but the problem is information for same type of elements like locality have different information in different address_components which result in inconsistency of address when elements of information gathered from different address_component items.
As an example, In below sample we have two values شهر جدید اندیشه and Karaj in different locality elements which are two different city labels (in the same neighborhood).
https://maps.googleapis.com/maps/api/geocode/json?latlng=35.7163931455472,51.01335000246763&key=xxxxx&language=fa
{
"results" : [
{
"address_components" : [
{
"long_name" : "Unnamed Road",
"short_name" : "Unnamed Road",
"types" : [ "route" ]
},
{
"long_name" : "Karaj",
"short_name" : "Karaj",
"types" : [ "locality", "political" ]
},
{
"long_name" : "Shahriar County",
"short_name" : "Shahriar County",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "Tehran Province",
"short_name" : "Tehran Province",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "ایران",
"short_name" : "IR",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "Tehran Province, Karaj, Unnamed Road, ایران",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 35.7221382,
"lng" : 51.0148178
},
"southwest" : {
"lat" : 35.716435,
"lng" : 51.0095103
}
},
"location" : {
"lat" : 35.719286,
"lng" : 51.012165
},
"location_type" : "GEOMETRIC_CENTER",
"viewport" : {
"northeast" : {
"lat" : 35.7221382,
"lng" : 51.0148178
},
"southwest" : {
"lat" : 35.716435,
"lng" : 51.0095103
}
}
},
"place_id" : "ChIJmf7_zEyTjT8RkM8-nK6dTm0",
"types" : [ "route" ]
},
{
"address_components" : [
{
"long_name" : "فاز ۶ شهر جدید اندیشه",
"short_name" : "فاز ۶ شهر جدید اندیشه",
"types" : [ "political", "sublocality", "sublocality_level_1" ]
},
{
"long_name" : "شهر جدید اندیشه",
"short_name" : "شهر جدید اندیشه",
"types" : [ "locality", "political" ]
},
{
"long_name" : "شهرستان شهریار",
"short_name" : "شهرستان شهریار",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "استان تهران",
"short_name" : "استان تهران",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "ایران",
"short_name" : "IR",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "فاز ۶ شهر جدید اندیشه، شهر جدید اندیشه، استان تهران، ایران",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 35.7389537,
"lng" : 51.0349971
},
"southwest" : {
"lat" : 35.7039031,
"lng" : 51.0044146
}
},
"location" : {
"lat" : 35.7210753,
"lng" : 51.014934
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 35.7389537,
"lng" : 51.0349971
},
"southwest" : {
"lat" : 35.7039031,
"lng" : 51.0044146
}
}
},
"place_id" : "ChIJiYlwJLHsjT8RruE39U9NMoQ",
"types" : [ "political", "sublocality", "sublocality_level_1" ]
},
{
"address_components" : [
{
"long_name" : "شهر جدید اندیشه",
"short_name" : "شهر جدید اندیشه",
"types" : [ "locality", "political" ]
},
{
"long_name" : "شهرستان شهریار",
"short_name" : "شهرستان شهریار",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "استان تهران",
"short_name" : "استان تهران",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "ایران",
"short_name" : "IR",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "شهر جدید اندیشه، استان تهران، ایران",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 35.7388144,
"lng" : 51.04460479999999
},
"southwest" : {
"lat" : 35.6838973,
"lng" : 50.9894371
}
},
"location" : {
"lat" : 35.7078282,
"lng" : 51.0227587
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 35.7388144,
"lng" : 51.04460479999999
},
"southwest" : {
"lat" : 35.6838973,
"lng" : 50.9894371
}
}
},
"place_id" : "ChIJIQwwRcnsjT8RnTJfLJ3QUAg",
"types" : [ "locality", "political" ]
},
{
"address_components" : [
{
"long_name" : "شهرستان شهریار",
"short_name" : "شهرستان شهریار",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "استان تهران",
"short_name" : "استان تهران",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "ایران",
"short_name" : "IR",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "شهرستان شهریار، استان تهران، ایران",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 35.7389885,
"lng" : 51.23044970000001
},
"southwest" : {
"lat" : 35.5333437,
"lng" : 50.8859253
}
},
"location" : {
"lat" : 35.6096201,
"lng" : 51.03319330000001
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 35.7389885,
"lng" : 51.23044970000001
},
"southwest" : {
"lat" : 35.5333437,
"lng" : 50.8859253
}
}
},
"place_id" : "ChIJQ6KQjY7xjT8RoYD9gJh8_CY",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"address_components" : [
{
"long_name" : "استان تهران",
"short_name" : "استان تهران",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "ایران",
"short_name" : "IR",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "استان تهران، ایران",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 36.07789210000001,
"lng" : 53.216228
},
"southwest" : {
"lat" : 34.909543,
"lng" : 50.3186971
}
},
"location" : {
"lat" : 35.7248416,
"lng" : 51.381653
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 36.07789210000001,
"lng" : 53.216228
},
"southwest" : {
"lat" : 34.909543,
"lng" : 50.3186971
}
}
},
"place_id" : "ChIJf5Us9YQBjj8R0OohvHQms1U",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"address_components" : [
{
"long_name" : "ایران",
"short_name" : "IR",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "ایران",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 39.782056,
"lng" : 63.3333366
},
"southwest" : {
"lat" : 24.8066999,
"lng" : 44.0326949
}
},
"location" : {
"lat" : 32.427908,
"lng" : 53.688046
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 39.782056,
"lng" : 63.3333366
},
"southwest" : {
"lat" : 24.8066999,
"lng" : 44.0326949
}
}
},
"place_id" : "ChIJ8R1rwS7s9z4RzvpRntOVsEA",
"types" : [ "country", "political" ]
}
],
"status" : "OK"
}
It looks like there are two different questions in one, so the scope is a bit broad. I will try to address your doubts.
First, you are using the reverse geocoding request to resolve coordinate 35.7163931455472,51.01335000246763 into street address. Note that reverse geocoding is designed to resolve the given coordinate to the nearest available address. Also the service will suggest different types of results in addition to street address: route, sublocality, locality, administrative areas, country.
Sometimes if there are no street addresses close to the given point (approx. within 50 meters from the point), the result of type street address is not present in the response. In your example the result of type street address is not available, so the response contains different types of results starting from the route level. Have a look at my screenshot that represents first three items from your response.
As you can see the first item has a type route, the second item has a type sublocality and the third one has a type locality.
It is difficult to say what is the "best" criteria to chose the address. You can see that the route item is the closest one, but unfortunately this road is unnamed, so you qualify it as not good enough. Technically this is the closest item, so the service supposes this is the best match. I would suggest checking the type of results, if the item 0 has a type street_address is should be good enough to go, if the item 0 has a type route, check if the road has a name, if this is unnamed road check the item 1 that might be more detailed.
Anyway the unnamed road is the data issue and you can report it to the Google data team following the help center:
https://support.google.com/maps/answer/3094088
Second, if I understand correctly you noticed that item 0 and item 1 have different value of locality address component, although both of them (marker 1 and marker 2 in my screenshot) seem to belong to the Andisheh New Town. The route (place ID ChIJmf7_zEyTjT8RkM8-nK6dTm0) is reported as the part of the Karaj locality. I can see the boundaries of Karaj on Google Maps as in the following screenshot
https://www.google.com/maps/place/Karaj,+Alborz+Province,+Iran/#35.7700272,50.95899,12.41z/data=!4m5!3m4!1s0x3f8dbf95ef45f011:0x722a04e54eba9bcd!8m2!3d35.8400188!4d50.9390906
And I can see the boundaries of Andisheh New Town as shown in the following screenshot
https://www.google.com/maps/place/Andisheh+New+Town,+Tehran+Province,+Iran/#35.6998795,51.0216598,14.08z/data=!4m5!3m4!1s0x3f8decc945300c21:0x850d09d2c5f329d!8m2!3d35.7078282!4d51.0227587
Please note that the route from your response is clearly situated inside the Andisheh New Town polygon, so at this point it looks like we are facing a data issue as well. The place ID ChIJmf7_zEyTjT8RkM8-nK6dTm0 should have locality component of Andisheh New Town, not the Karaj.
Feel free to send feedback to Google using this page:
https://www.google.com/maps/place/Tehran+Province,+Karaj,+Unnamed+Road,+Iran/#35.719286,51.0077876,17z/data=!3m1!4b1!4m5!3m4!1s0x3f8d934cccfffe99:0x6d4e9dae9c3ecf90!8m2!3d35.719286!4d51.012165!10m2!1e3!2e3
If you would like to play with reverse geocoding, please use Geocoder tool:
https://google-developers.appspot.com/maps/documentation/utils/geocoder/#q%3D35.716393%252C51.01335
I hope my answer clarifies your doubts!
I'm trying to build an app that would display the location name of a nearby place as well as its photo. I'm using Google Places API.
I would like to quickly convert photo_reference to the photo url.
Currently, if you do a nearby search, you would get back this json with 20 nearby locations (I have just pasted 2 locations as the json is too long):
{
"html_attributions" : [
"Listings by \u003ca href=\"http://www.easyinfo.co.za/\"\u003eEasyinfo.co.za\u003c/a\u003e"
],
"next_page_token" : "CvQB7AAAAEIeM4orJZv2oOV0Lt_mhGBbkvvJIyOwjcHeStpcC5E6fR7pNHw4VsS6cMSKzFRtyjr2LQ67GSvZwFGxw8f72sxwO6NggFNsSyakjO9bKovKpjCn4-uHoQyXESaxMqMci1fet-n9EJEp-VoBVXv-iIb_TvSO26iIXkGUeO-09-19ucYirFahOaNF0pp8ttod59XWgsLPs5r1PnkakrYj5JBgawP83T0ZMwIY52oViQJNGvR6_Bpf73dK68iUnj24w5QNZOql6uAlvFAg-BXs5FKjTWvQO0nR5woo5mJjDzYvbaxQkpMqFQ-BMEnZ3RX10xIQ3twWZWnygJl78DhqZH1DkBoUdcq5qakPBsg1QAn6BdcqdrQFz2g",
"results" : [
{
"geometry" : {
"location" : {
"lat" : -26.2020253,
"lng" : 28.0500779
},
"viewport" : {
"northeast" : {
"lat" : -26.2003339,
"lng" : 28.054075
},
"southwest" : {
"lat" : -26.2041059,
"lng" : 28.0470949
}
}
},
"icon" : "https://maps.gstatic.com/mapfiles/place_api/icons/geocode-71.png",
"id" : "0765607c0fdb4fae92e59390aff8e9501e98e59c",
"name" : "Fashion District",
"place_id" : "ChIJ2Vn0h5wOlR4RsOSteUYYM6g",
"reference" : "CpQBkAAAADboZMmtzHTuxZ85pPFK1fr-V0QslLUKBr8QZssBme4qcqLqs7SvrW-L2lJZg3S0PBYTGzuBU8M1F-Ll72tOdto-hfnxOCBOFfVIQEYe264r-IbWZjiFbuqOHBtU5z99jo3NrTxI29MvE8ogUYccX8FukX8eoAcpKti3Ik2VLvDziRKArf2EDy-6CtSbxeCnthIQyHx09QzBQ-pWEelLd6tCsxoUklzTqP7XbT6WbDCbIa42k1R4Iic",
"scope" : "GOOGLE",
"types" : [ "neighborhood", "political" ],
"vicinity" : "Johannesburg"
},
{
"geometry" : {
"location" : {
"lat" : -26.205586,
"lng" : 28.046573
}
},
"icon" : "https://maps.gstatic.com/mapfiles/place_api/icons/restaurant-71.png",
"id" : "671355d0ee1b5b0bbc1556321cea85ca164601de",
"name" : "KFC Carlton Centre",
"opening_hours" : {
"open_now" : true,
"weekday_text" : []
},
"photos" : [
{
"height" : 296,
"html_attributions" : [
"\u003ca href=\"https://maps.google.com/maps/contrib/106295947298714161198\"\u003eKFC Carlton Centre\u003c/a\u003e"
],
"photo_reference" : "CmRdAAAAHcsAE2aiv5lIxLEo0c9xMUmH-chXoAeq6yrFPw5uy7LdppAMxBmg8_yvG9y9qaXqsH-IrcPsBD6QQvsfZnpml3U5zgh93nTbm5WONnYmutBSltIr9FwuK-awm8l1vyKeEhD9AqZpJwFLIWms2GeZGPR2GhSPp1JyAU_6_s1Im1_oH5tB4IjyXQ",
"width" : 607
}
],
"place_id" : "ChIJTQABc5kOlR4RAzBKVJ-lZNo",
"price_level" : 1,
"rating" : 3.7,
"reference" : "CnRmAAAAyOipUqSqkrpsKw96nu3YnT72kF2Yj_FWAd3wJkzM6a73ZZu8AJIXGsS-EmvugVGsgcEEcadiPfLJCdX3_molaMarh-sox9sIDp5M9LE6xhE1U-6WMXarQEjNu6_ATfQMdaR0nJPpxCX_AS2vbym1wBIQAA9yUjeeEXHF-HDsjTj9kBoUvRoUMWlNtyY30v0iWqMUzstMHOE",
"scope" : "GOOGLE",
"types" : [ "restaurant", "food", "point_of_interest", "establishment" ],
"vicinity" : "Commissioner Street, Carlton Centre, Johannesburg"
}
To get the photo url, you will have to call the following for each of the 20 photo_reference in the json - these calls to the google servers take a lot of time to return as you are calling the server 20 individual times:
https://maps.googleapis.com/maps/api/place/photo?maxwidth=400&photoreference=CmRdAAAAHcsAE2aiv5lIxLEo0c9xMUmH-chXoAeq6yrFPw5uy7LdppAMxBmg8_yvG9y9qaXqsH-IrcPsBD6QQvsfZnpml3U5zgh93nTbm5WONnYmutBSltIr9FwuK-awm8l1vyKeEhD9AqZpJwFLIWms2GeZGPR2GhSPp1JyAU_6_s1Im1_oH5tB4IjyXQ&key=API-KEY
Each call returns something similar to this which is the actual url for the image - if you click the link below, it goes to the actual picture.
https://lh3.googleusercontent.com/-B8FWOhhu2_k/VTdYJeFjRhI/AAAAAAAAAD8/JSJamjx4XyA/s1600-w400/
I think this is a highly inefficient way to obtain the links for the place photos, my rest API calls sometime returns after 10 seconds. Is there a way to do this efficiently?
I have a response from a google web service like the follwing
{
"html_attributions" : [],
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"photo_reference" : "CnRtAAAAYab-XNz1Tm-iiB1qfxZJiC-T--LI7Mr5haR62p-RlGTrAIAPk2lhWogWOTQcFjPIHCiM2aYN2Iu-qkqPVGsEGony955zdEo6T3oOUKgNvT5WZvw6w_WU3aNdyLNh0xh-wRi4TNi6T70jutWPs6qkrRIQbdKBlQ6Yk1ROLxYnfSYF0BoUn9chrbaMj73dJleIqEzjxmi-9nY",
"width" : 816
}
],
"place_id" : "ChIJt7FX9rJqkFQR-R2iORwxyXQ",
"reference" : "CnRvAAAA8b_D2XlfYEVl6Oi5uYGRdJILg6dW3oRrLu8Q9xd9EukH2omaTGNlupKgahjJREN5jiNKdj9FSmpR4F0Du2XMbW9xmMEpO6CmPEG8zbBHQVNBs2zHzU2_m0WFnLv21mdxfAd20GVX6f6cdZ2COkb_KhIQhh6kZ-vny430yF0EvmH7eBoUZ3TVjq_RHxXlY_jpaN1qk2Yc3UM",
"scope" : "GOOGLE",
"types" : [
"convenience_store",
"grocery_or_supermarket",
"food",
"store",
"establishment"
],
"vicinity" : "1506 Pike Pl #509, Seattle"
},
{
"geometry" : {
"location" : {
"lat" : 47.608918,
"lng" : -122.340729
}
},
"icon" : "http://maps.gstatic.com/mapfiles/place_api/icons/generic_business-71.png",
"id" : "301d23a6579067833036e39ef46357e1d8e5ba68",
"name" : "Frank's Quality Produce",
"place_id" : "ChIJpdHb8LJqkFQRo8X7RoXoz2U",
"reference" : "CoQBeQAAAKEBHFRM9OPUb4CWC5bC1HYamXOFc0lzWyWCX-4eyhtOOIEvcxHIsj4y1xkBiXTIsttPetJYNr5KKux3Y3q5ZF7SKutTqiRYbk0hESohet1_EdcnPU31_IBRLo9W-T_7wiDb3FnN24rYmz9J9Kz7pxhlyKyR2VLMuTLMALNLJC2YEhChDDy463zp0HRiZaAsFSG3GhTe1n0deejJDnxNB2AK4zOf1HGkMw",
"scope" : "GOOGLE",
"types" : [ "grocery_or_supermarket", "food", "store", "establishment" ],
"vicinity" : "1508 Pike Pl, Seattle"
},
{
"geometry" : {
"location" : {
"lat" : 47.609231,
"lng" : -122.340848
}
},
"icon" : "http://maps.gstatic.com/mapfiles/place_api/icons/generic_business-71.png",
"id" : "228c792a04f0d9c3b8086b9f857521945f87c975",
"name" : "Choice Produce",
"place_id" : "ChIJmbBY97JqkFQR4JkuKXVDT3A",
"reference" : "CnRwAAAAWE1aK6eOe-rdRjgs2HJZHB__viCdWu2u7Qx0chME1CgDnnOycW_dcim98Szb2bzUjTy12wGk9fGO42jpywL-Zevm_ilfqi6q7jvRQxSGvsybbZau_Tc_orGj41Gz8fWK1R6_YvAT1n0II9DPFca1lxIQviRIxzWL3GRqyK3dun_4zRoUrNDpGHpGZHKUngGPiBLLH46zOqI",
"scope" : "GOOGLE",
"types" : [ "grocery_or_supermarket", "food", "store", "establishment" ],
"vicinity" : "1514 Pike Pl, Seattle"
}
],
"status" : "OK"
}
I need to parse it and get the lat and long values
I have assigned it like this
JSONArray JA=new JSONArray(result);
JSONObject json= null;
Where result contains the web service response. How can I parse it and get the required values?
try this code.you will get lat and lng value:
if (jsonStr != null) {
try {
JSONObject jsonObj = new JSONObject(jsonStr);
// Getting JSON Array node
results = jsonObj.getJSONArray("result");
// looping through All Contacts
for (int i = 0; i < contacts.length(); i++) {
JSONObject c = contacts.getJSONObject(i);
JSONObject geo = c.getJSONObject("geomatrics");
JSONObject place = geo.getJSONObject("location");
String id = place.getString(lat);
String name = place.getString(lng);
}}}
FYI, the response JSON is an Object, not an Array.
Steps to get lat/lng values:
Get results JSON array from received JSON Object response
Iterate through all the sub JSON Objects, then first get geometry sub object.
From geometry sub object, get location object. From location object, parse and get lat/lng values.
Please don't ask for code as there are many JSON tutorials exist on web but you can use below methods for parsing:
getJSONObject()
getString()
getLong()
There are multiple locations in the JSON so you will need and ArrayList to store all of them.
I recomment using ArrayList<HashMap<String,Double>>
Assuming you have the result as a String object named as result:
ArrayList<HashMap<String, Double>> list = new ArrayList<HashMap<String,Double>>();
JSONObject jsonObj= new JSONObject(result);
JSONArray results = jsonObj.getJSONArray("results");
for(int i=0;i<results.length();i++){
JSONObject temp = results.getJSONObject(i).getJSONObject("geometry").getJSONObject("location");
Double lat = temp.getDouble("lat");
Double lng = temp.getDouble("lng");
HashMap map = new HashMap<String, Double>();
map.put("lat",lat);
map.put("lng",lng);
list.add(map);
}
now you can retrive any position by using
Double lat=list.get(4).get("lat");
Double lng=list.get(4).get("lng");
Hope it helps. cheers :)
Cast the response to JsonObject like this
JSONObject jsonObj = new JSONObject(result);// where result is the response you got
Get the result array like this
JSONArray results = jsonObj.getJSONArray("results"); // where results is the tag in resposne
Now you have the entire array in results
for loop the entire stuff
for(int i=0;i<results.length();i++)
{
JSONObject location = results.getJSONObject(i).getJSONObject("geometry").getJSONObject("location");;
String lat = location.optString("lat");
String lng = location.optString("lng");
}
If you need the lat and long inside an array, add those to an array.
I saw in the official documentation of google places : https://developers.google.com/places/documentation/search
that the response gave from the server to search is :
"results" : [
{
"formatted_address" : "529 Kent Street, Sydney NSW, Australia",
"geometry" : {
"location" : {
"lat" : -33.8750460,
"lng" : 151.2052720
}
},
"icon" : "http://maps.gstatic.com/mapfiles/place_api/icons/restaurant-71.png",
"id" : "827f1ac561d72ec25897df088199315f7cbbc8ed",
"name" : "Tetsuya's",
"rating" : 4.30,
"reference" : "CnRmAAAAmmm3dlSVT3E7rIvwQ0lHBA4sayvxWEc4nZaXSSjRtfKRGoYnfr3d5AvQGk4e0u3oOErXsIJwtd3Wck1Onyw6pCzr8swW4E7dZ6wP4dV6AsXPvodwdVyqHgyGE_K8DqSp5McW_nFcci_-1jXb5Phv-RIQTzv5BjIGS0ufgTslfC6dqBoU7tw8NKUDHg28bPJlL0vGVWVgbTg",
"types" : [ "restaurant", "food", "establishment" ]
}...
I would like to know if it is posible to reach info like comments,
basically to reach more info that those 8 variables.
Tx !
it is disponible en :
"results" : [
"reviews" : [
{
"aspects" : [
{
"rating" : 3,
"type" : "quality"
}
],
"author_name" : "Simon Bengtsson",
"author_url" : "https://plus.google.com/104675092887960962573",
"text" : "Just went inside to have a look at Google. Amazing.",
"time" : 1338440552869
},
{
"aspects" : [
{
"rating" : 3,
"type" : "quality"
}
],
"author_name" : "Felix Rauch Valenti",
"author_url" : "https://plus.google.com/103291556674373289857",
"text" : "Best place to work :-)",
"time" : 1338411244325
},
{
"aspects" : [
{
"rating" : 3,
"type" : "quality"
}
],
"author_name" : "Chris",
"text" : "Great place to work, always lots of free food!",
"time" : 1330467089039
}
],
"types" : [ "establishment" ],
"url" : "http://maps.google.com/maps/place?cid=10281119596374313554",
"vicinity" : "48 Pirrama Road, Pyrmont",
"website" : "http://www.google.com.au/"
},
Official page: https://developers.google.com/places/documentation/details