Bolt
Scooter and bike positions: vehicle positions, one endpoint per operator
- Format
- GeoJSON
- Updates
- Every 5 minutes
- Latest snapshot
- Snapshots stored
- about 210,987
curl -H "Authorization: Bearer $MOBILITYTWIN_TOKEN" "https://api.mobilitytwin.brussels/micromobility/bolt"Positions of Bolt vehicles in Brussels.
Which days have data
Data from 21 Aug 2024 to 2 Nov 2026, on 799 days. 30 of the last 30 days have data. A typical day holds 264 snapshots. Days are in UTC.
2026
JanFebMarAprMayJunJulAugSepOctNovDec
2025
JanFebMarAprMayJunJulAugSepOctNovDec
2024
JanFebMarAprMayJunJulAugSepOctNovDec
- Full day
- Partial, 50–90% of a typical day
- Low, under 50%
- No snapshot
- Not expected
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. |
start_timestamp | Start of the range, in Unix seconds or ISO 8601. |
end_timestamp | End of the range, in Unix seconds or ISO 8601. |
limit | Maximum number of snapshots, at most 100. |
offset | Number of snapshots to skip, to page through a range. |
Response fields
A GeoJSON FeatureCollection. Field names without a prefix are in each feature's properties.
| Field | Type | Meaning |
|---|---|---|
bike_id | string | |
current_range_meters | integer | |
is_disabled | boolean | |
is_reserved | boolean | |
pricing_plan_id | string | |
rental_uris.android | string | |
rental_uris.ios | string | |
vehicle_type_id | string | |
current_fuel_percent | number or null | Battery level as a fraction from 0 to 1 (GBFS), not a percentage. |
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/micromobility/bolt"
data = requests.get(url, headers={
'Authorization': 'Bearer [MY_API_KEY]'
}, params=params).json()
gdf = gpd.GeoDataFrame.from_features(data["features"])
# Show available vehicles with battery range
available = gdf[~gdf['is_disabled'] & ~gdf['is_reserved']]
print(f"Available Bolt vehicles: {len(available)} / {len(gdf)}")
print(f"Average range: {available['current_range_meters'].mean() / 1000:.1f} km")
# Plot vehicle positions
available.plot(figsize=(10, 8), color="#050187", markersize=5)