Live Weather Monitoring API Documentation
Hyperlocal monitoring for weather, with accurate data for criminality and infrastructure. This API provides accurate, up-to-date local details for Indian postal codes for integrating into your applications for Indian markets.
Below are the endpoints for accessing local datasets. Learn how to integrate the API into your application.
Authorization:
- privateId *Specify privateId for site
(e.g., "Bearer example^com-SomeIdString").
Query Parameters:
- zip Specify which data to show
(e.g., 401101). - show Comma-separated list of datasets you need
(e.g., "all"|"state,district").
Route Parameters:
- :region *Please check location table here
(e.g., "WEST_3|ARAB_1|EAST_3|NORD_6").
Response based on params:
{
"success": true,
"data": {
"state": {
"population": {
"people": 123144223,
"population_density": 365,
"area": 307713,
"urban_population": 45.22,
"rural_population": 54.78,
"gender_ratio": 925,
"human_development_index": 0.624,
"life_expectancy": {
"infant_mortality_rate_per_1000": 29,
"male": 66.2,
"female": 69.8
},
"literacy_rate": {
"total": 84.11,
"male": 88.87,
"female": 79.9
},
"official_languages": [
"Marathi"
],
"spoken_languages": [
"Marathi",
"Hindi",
"English",
"Urdu"
],
"religions": {
"Hinduism": 79.83,
"Islam": 11.53,
"Buddhism": 5.67,
"Other": 2.97
}
},
"economy": {
"unit": "USD",
"annual_tourists": 67000000,
"gdp_nominal": {
"value": 459.8,
"year": 2023
},
"gdp_per_capita": {
"value": 3727,
"year": 2023
},
"exports": {
"total_value_billion": 39
}
},
"climate": {
"type": "Tropical Wet and Dry",
"annual_rainfall_mm": 2500,
"avg_temperature": {
"summer": "34",
"winter": "19",
"format": "°C"
}
},
"infrastructure": {
"electricity_access": "100%",
"telecom_connectivity": "96%",
"internet_users": {
"percentage_of_population": 58,
"total_users_million": 71.6
}
},
"service": true,
"info": "Economic Statistics limited to viable Indian territories or states!"
},
"district": {
"name": "Thane",
"weather": {
"base": {
"lon": 73.396,
"lat": 19.4115
},
"weather": {
"id": 804,
"main": "Clouds",
"description": "overcast clouds",
"icon": "04d"
},
"readings": {
"temp": 25.65,
"feels_like": 26.52,
"temp_min": 25.65,
"temp_max": 25.65,
"pressure": 1009,
"humidity": 86,
"sea_level": 1009,
"grnd_level": 1001
},
"visibility": 10000,
"wind": {
"speed": 0.62,
"deg": 48,
"gust": 0.86
},
"clouds": 100,
"sunrise": 1728521952,
"sunset": 1728564435
},
"people": "mix",
"criminality": "mid"
}
}
}This endpoint provides the current hyperlocal details for the requested postal codes.
import requests
import json
def fetch_data():
# API configuration
base_url = 'https://weathergrid.api.mapwale.com/v1'
params = {
'region': 'YOUR_REGION' # Replace with actual region value
}
headers = {
'Content-Type': 'application/json',
'Authorization': f'Bearer <privateId>'
}
query_params = {"zip":"401101","show":"all"}
try:
# Build URL
url = f"{base_url}/{''.join(f'/{params[param]}' for param in ["region"])}"
# Make request
response = requests.get(
url,
headers=headers,
params=query_params,
json={}
)
# Check for errors
response.raise_for_status()
return response.json()
except requests.exceptions.RequestException as e:
print(f"Error making request: {e}")
return None
# Example usage
if __name__ == "__main__":
result = fetch_data()
print(json.dumps(result, indent=2))