Adsb lol position

Airplane: aircraft from the opensky and adsb.lol networks

Format: GeoJSON
Updates: Every 4 minutes
Latest snapshot: 2 Nov 2026, 22:40 UTC
Snapshots stored: about 23,243

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

Get a token

Real-time positions of aircraft over Belgium, as reported by the adsb.lol community ADS-B network. Output schema mirrors the OpenSky endpoint so the two feeds are interchangeable; additional fields include registration, aircraft_type and source_feed. Data from adsb.lol, available under the Open Database License (ODbL).

Which days have data

Data from 4 Oct 2026 to 2 Nov 2026, on 30 days. 29 of the last 30 days have data. A typical day holds 596 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`	null
`time_position`	number or null
`last_contact`	number
`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
`registration`	string or null
`aircraft_type`	string or null
`source_feed`	string

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/adsb-lol-position"

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

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

# Schema mirrors opensky-position so the two feeds can be swapped freely.
print(f"{len(gdf)} aircraft tracked right now")

# Show the lowest/loudest movers — useful for noise impact analysis.
moving = gdf[(gdf["velocity"].fillna(0) > 5) & (~gdf["on_ground"].fillna(False))]
lowest = moving.nsmallest(10, "baro_altitude")[
    ["callsign", "registration", "aircraft_type", "baro_altitude", "velocity"]
]
print(lowest)

# Plot
gdf.plot(figsize=(10, 8), color="#27ae60", markersize=10)