Open-Meteo Geocoding

📸 Real response, captured by us

Not a mockup — this is what Open-Meteo Geocoding actually returned when we verified it on 23 Oct 2026 (in 1758 ms).

{
  "results": [
    {
      "id": 1172451,
      "name": "Lahore",
      "latitude": 31.558,
      "longitude": 74.35071,
      "elevation": 216,
      "feature_code": "PPLA",
      "country_code": "PK",
      "admin1_id": 1167710,
      "admin2_id": 1172449,
      "timezone": "Asia/Karachi",
      "population": 13004135,
      "country_id": 1168579,
      "country": "Pakistan",
      "admin1": "Punjab",
      "admin2": "Lahore District"
    },
    {
      "id": 1172453,
      "name": "Kili Lahor",
      "latitude": 30.39561,
      "longitude": 68.7627,
      "elevation": 1334,
      "feature_code": "PPL",
      "country_code": "PK",
      "admin1_id": 1183606,
      "admin2_id": 1171867,

💻 Copy-paste code

Three ways to call Open-Meteo Geocoding — pick your weapon.

// Open-Meteo Geocoding — no build step, no library. Just fetch.
const res = await fetch("https://geocoding-api.open-meteo.com/v1/search?name=Lahore&count=2");
const data = await res.json();
console.log(data);

# Open-Meteo Geocoding with Python requests
import requests

r = requests.get("https://geocoding-api.open-meteo.com/v1/search?name=Lahore&count=2")
print(r.status_code)
print(r.json())

# Open-Meteo Geocoding from your terminal
curl "https://geocoding-api.open-meteo.com/v1/search?name=Lahore&count=2"

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