Plan de voirie - Mobiliers urbains - Bornes - Barrières - Potelets
Potelet pour véhicule - Arceau pour véhicule - Muret pour véhicule - Borne de voirie - Anneau au sol - Borne de voirie escamotable - Bitte d'amarrage - Borne à vélos - Arceau pour deux roues - Epingle deux roues moto - Epingle deux roues vélo - Accroche vélo - Arrêtoir a vélos - Bornette vélos en...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (7 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| objectid | int | — |
| num_paveNum pave | text | — |
| igds_levelIgds level | int | — |
| lib_levelLib level | text | — |
| lib_classeLib classe | text | — |
| geo_shapeShape | geo_shape | — |
| geo_point_2dCoordinates | geo_point_2d | — |
Schema captured from opendatasoft 2 hours ago.
Query the data
Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.
Sample data (5 records)
Record 1num_pave: 174E · objectid: 5240202
{
"num_pave": "174E",
"objectid": 5240202,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "LineString",
"coordinates": [
[
2.3201065141050434,
48.89367069884699
],
[
2.320106295074265,
48.893670760556084
],
[
2.3201060626401673,
48.89367080420266
],
[
2.3201058306758955,
48.893670811878884
],
[
2.320105585425839,
48.893670792499975
],
[
2.3201053678041337,
48.89367074629823
],
[
2.3201051505347228,
48.893670673118734
],
[
2.320104960776333,
48.89367058210898
],
[
2.3201047986462955,
48.89367046427635
],
[
2.320104663909849,
48.89367033760599
],
[
2.320104570322401,
48.8936701931828
],
[
2.3201045177665214,
48.893670039999314
],
[
2.3201045062422083,
48.89366987805556
],
[
2.3201045355147016,
48.89366972533667
],
[
2.320104605701329,
48.89366957285011
],
[
2.320104716567128,
48.89366943858096
],
[
2.3201048545917544,
48.89366931345921
],
[
2.32010503329555,
48.89366920655493
],
[
2.320105225402562,
48.893669117713216
],
[
2.3201054444334357,
48.89366905600412
],
[
2.320105676749993,
48.89366902135015
],
[
2.3201059087143583,
48.89366901367393
],
[
2.3201061539644066,
48.89366903305283
],
[
2.3201063715860046,
48.89366907925458
],
[
2.320106588972842,
48.8936691434415
],
[
2.320106778613798,
48.893669243443846
],
[
2.3201069408612662,
48.893669352283894
],
[
2.3201070754802857,
48.89366948794682
],
[
2.320107169067738,
48.893669632369985
],
[
2.320107221623626,
48.8936697855535
],
[
2.3201072332653787,
48.89366993850464
],
[
2.3201072039929946,
48.893670091223534
],
[
2.3201071338063732,
48.893670243710126
],
[
2.3201070228230467,
48.89367038697185
],
[
2.3201068847985242,
48.89367051209361
],
[
2.3201067060946263,
48.89367061899787
],
[
2.3201065141050434,
48.89367069884699
]
]
},
"properties": {}
},
"lib_level": "BARRIERE",
"igds_level": 10,
"lib_classe": null,
"geo_point_2d": {
"lat": 48.89366991125106,
"lon": 2.3201058694128927
}
}Record 2num_pave: 091A · objectid: 5240217
{
"num_pave": "091A",
"objectid": 5240217,
"geo_shape": "[large value omitted]",
"lib_level": "BORNE",
"igds_level": 13,
"lib_classe": null,
"geo_point_2d": {
"lat": 48.88337131333037,
"lon": 2.330072887261686
}
}Record 3num_pave: 192D · objectid: 5240220
{
"num_pave": "192D",
"objectid": 5240220,
"geo_shape": "[large value omitted]",
"lib_level": "BORNE",
"igds_level": 13,
"lib_classe": null,
"geo_point_2d": {
"lat": 48.89223470922812,
"lon": 2.385329503596195
}
}Record 4num_pave: 202G · objectid: 5240233
{
"num_pave": "202G",
"objectid": 5240233,
"geo_shape": "[large value omitted]",
"lib_level": "BARRIERE",
"igds_level": 10,
"lib_classe": null,
"geo_point_2d": {
"lat": 48.86556320387069,
"lon": 2.413082305436344
}
}Record 5num_pave: 103B · objectid: 5240284
{
"num_pave": "103B",
"objectid": 5240284,
"geo_shape": "[large value omitted]",
"lib_level": "BORNE",
"igds_level": 13,
"lib_classe": null,
"geo_point_2d": {
"lat": 48.87118829475198,
"lon": 2.366542709221052
}
}Live sample captured at profiling time — values may have changed upstream.
Using the API
Configuration
- Base URL
- https://data.iledefrance.fr/api/explore/v2.1/catalog/datasets/bornes-et-arceaux-de-stationnement-a-paris
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.iledefrance.fr/api/explore/v2.1/catalog/datasets/bornes-et-arceaux-de-stationnement-a-paris/records?limit=20' -H 'Accept: application/json'First 20 records of the dataset as JSON.
Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.
Rate limits
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.