🗃️Bulk Data API

Connect to the Data APIs to access 5000+ location attributes, around any lat-long or address in the country.

Bulk Data API with Latitude & Longitude

POST https://dataserving-us.geoiq.io/production/v1.0/getvariablesbulk

Headers

Name	Type	Description
x-api-key*	String	Authentication key
Content-Type*	String	application/json

Request Body

Name	Type	Description
lat*	Float	Latitude co-ordinates should be between -90 to 90
lng*	Float	Longitude co-ordinates should be between -180 to 180
radius*	Integer	(in meters) should be between 100 to 2000
variables*	String	Comma separated list of variables to be fetched. Maximum 50 variables can be fetched in a single call

200: OK Success

{
    "status": 200,
    "body": {
        "data": {
            "w_pop_tt": 27950,
            "p_health_hp_np": 0.25045,
            "p_restaurant_rt_np": 1.39535,
            "p_retail_gc_np": 0.93023
        },
        "status": 200
    }
}

400: Bad Request Invalid input, object invalid

403: Forbidden Authorization Failure. Invalid key.

Sample Request

headers = {
    "x-api-key": "Authentication key",
    "Content-Type": "application/json"
}

body = {  
  "lat":40.0300971,
  "lng":-75.648135,
  "variables": "cen_10_bk_demo_tot_pop_200,cen_10_bk_tot_urb_1000,acs5_19_pop_wht_blockgroup"
}

Sample Response

{
    "data": {
        "cen_10_bk_demo_tot_pop_200": 3303,
        "cen_10_bk_tot_urb_1000": 46679,
        "acs5_19_pop_wht_blockgroup": 1565
    },
    "status": 200
}

""" Sample Python Code """

import json
import requests

url = "https://dataserving-us.geoiq.io/production/v1.0/getvariablesbulk"

payload = json.dumps({
  "lat": 40.0300971,
  "lng": -75.648135,
  "variables": "cen_10_bk_demo_tot_pop_200,cen_10_bk_tot_urb_1000,acs5_19_pop_wht_blockgroup"
})

headers = {
  'x-api-key': '<Authentication key>',
  'Content-Type': 'application/json'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)

Bulk Data API with Address

POST https://dataserving-us.geoiq.io/production/v1.0/getvariablesbulk

Headers

Name	Type	Description
x-api-key*	String	Authentication key
Content-Type*	String	application/json

Request Body

Name	Type	Description
address*	String	address of the place
pincode	String	pincode of the place
radius*	Integer	(in meters) should be between 100 to 2000
variables*	String	Comma separated list of variables to be fetched. Maximum 50 variables can be fetched in a single call

200: OK Success

{
    "status": 200,
    "body": {
        "data": {
            "w_pop_tt": 27950,
            "p_health_hp_np": 0.25045,
            "p_restaurant_rt_np": 1.39535,
            "p_retail_gc_np": 0.93023
        },
        "status": 200
    }
}

400: Bad Request Invalid input, object invalid.

{
    // Response
}

403: Forbidden Authorization failure. Invalid key.

{
    // Response
}

Sample Request

headers = {
    "x-api-key": "Authentication key",
    "Content-Type": "application/json"
}

body = {
    "address":"Manhattan, New York, NY, USA",
    "variables": "cen_10_bk_demo_tot_pop_200,cen_10_bk_tot_urb_1000,acs5_19_pop_wht_blockgroup"
}

Sample Response

{
    "data": {
        "cen_10_bk_demo_tot_pop_200": 3303,
        "cen_10_bk_tot_urb_1000": 46679,
        "acs5_19_pop_wht_blockgroup": 1565
    },
    "status": 200
}

""" Sample Python Code """

import json
import requests

url = "https://dataserving-us.geoiq.io/production/v1.0/getvariablesbulk"

payload = json.dumps({
  "address": "Manhattan, New York, NY, USA",
  "variables": "cen_10_bk_demo_tot_pop_200,cen_10_bk_tot_urb_1000,acs5_19_pop_wht_blockgroup"
})

headers = {
  'x-api-key': '<Authentication key>',
  'Content-Type': 'application/json'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)