Opensky position

Airplane: aircraft from the opensky and adsb.lol networks

Format: GeoJSON
Updates: Every 5 minutes
Latest snapshot: 2 Nov 2026, 22:38 UTC
Snapshots stored: about 62,415

curl -H "Authorization: Bearer $MOBILITYTWIN_TOKEN" "https://api.mobilitytwin.brussels/airplane/opensky-position"

Get a token

Positions of aircraft over Belgium as reported by the OpenSky Network.

Which days have data

Data from 25 Feb 2026 to 2 Nov 2026, on 246 days. 30 of the last 30 days have data. A typical day holds 264 snapshots. Days are in UTC.

2026

JanFebMarAprMayJunJulAugSepOctNovDec

Full day
Partial, 50–90% of a typical day
Low, under 50%
No snapshot
Not expected

Get a day

Click a day above, or pick a date, to get its requests.

Parameters

Name	Meaning
`timestamp`	Return the last snapshot at or before this moment, in Unix seconds or ISO 8601 (e.g. `2026-05-06T12:00:00Z`). Without it, the latest snapshot is returned.

Response fields

A GeoJSON FeatureCollection. Field names without a prefix are in each feature's properties.

Field	Type
`icao24`	string
`callsign`	string
`origin_country`	string or null
`time_position`	number or null
`last_contact`	integer
`baro_altitude`	number or null
`on_ground`	boolean
`velocity`	number or null
`true_track`	number or null
`vertical_rate`	number or null
`sensors`	null
`geo_altitude`	number or null
`squawk`	string or null
`spi`	boolean
`position_source`	string
`category`	string or null

Python example

import requests
import geopandas as gpd

from datetime import datetime, timedelta, timezone

yesterday_noon = (datetime.now(timezone.utc) - timedelta(days=1)).replace(
    hour=12, minute=0, second=0, microsecond=0
)
params = {
    "timestamp": yesterday_noon.isoformat(),   # ISO accepted; epoch also works
}

url = "https://api.mobilitytwin.brussels/airplane/opensky-position"

data = requests.get(url, headers={
        'Authorization': 'Bearer [MY_API_KEY]'
}, params=params).json()

gdf = gpd.GeoDataFrame.from_features(data["features"])

# Show aircraft currently over Belgium
for _, plane in gdf.head(10).iterrows():
    alt = plane.get('baro_altitude', 0) or 0
    speed = plane.get('velocity', 0) or 0
    print(f"{plane['callsign']} ({plane['origin_country']}): "
          f"alt={alt:.0f}m, speed={speed:.0f} m/s")

# Plot aircraft positions
gdf.plot(figsize=(10, 8), color="#e67e22", markersize=10)