Paid parking streets of the city of BordeauxVoies en stationnement payant de la ville de Bordeaux

Name: Paid parking streets of the city of Bordeaux
Creator: opendatasoft

Voies en stationnement payant de la ville de BordeauxPaid parking streets of the city of Bordeaux

APIDiscovered1/7blocked by verifiedQuery nowOpen workbench Subscribe🇫🇷France

This API provides a list and geographic position of streets in Bordeaux with paid parking. It is published as open data by Bordeaux Métropole, the metropolitan authority covering the city of Bordeaux and surrounding communes in France. The dataset supports mapping and analysis of paid parking zones within the city, and can be used by developers or citizens to identify which streets require payment for parking.Liste et position des voies en stationnement payant.

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Trust score

How is this computed?

poor

Weighted across five axes. Tap a ring for what it measures.

Data schema (7 fields)

Filterable via the API (5)

gml_idgidzonagemdatecdate

Click a field to see example values.

Field	Type	Description
geo_point_2dGeo Point	geo_point_2d	—
geo_shapeShape	geo_shape	—
gml_idGml id	text	—
gid	int	—
zonage	text	—
mdate	datetime	—
cdate	datetime	—

Schema captured from opendatasoft 6 days 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.

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Sample data (5 records)

Record 1gid: 4 · cdate: 2017-12-05T15:41:12+00:00

{
  "gid": 4,
  "cdate": "2017-12-05T15:41:12+00:00",
  "mdate": "2026-08-02T20:04:15+00:00",
  "gml_id": "_484561d1-1d14-11eb-8cbe-11636db21fc6.4",
  "zonage": "Zone unique",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "LineString",
      "coordinates": [
        [
          -0.564725865220831,
          44.83170796211582
        ],
        [
          -0.564925825511213,
          44.83177051935846
        ],
        [
          -0.565111320700231,
          44.83182434124837
        ],
        [
          -0.565727301272236,
          44.83199799346157
        ],
        [
          -0.566240448310613,
          44.83213820248825
        ],
        [
          -0.566794856642043,
          44.832288466127196
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 44.832003795065546,
    "lon": -0.5657587589612573
  }
}

Record 2gid: 12 · cdate: 2017-12-05T15:41:12+00:00

{
  "gid": 12,
  "cdate": "2017-12-05T15:41:12+00:00",
  "mdate": "2026-08-02T20:04:15+00:00",
  "gml_id": "_484561d1-1d14-11eb-8cbe-11636db21fc6.12",
  "zonage": "Zone unique",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "LineString",
      "coordinates": [
        [
          -0.576417833121725,
          44.83869268803319
        ],
        [
          -0.576577372894157,
          44.839957364266894
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 44.83932502615004,
    "lon": -0.5764976030079412
  }
}

Record 3gid: 420 · cdate: 2017-12-05T15:41:18+00:00

{
  "gid": 420,
  "cdate": "2017-12-05T15:41:18+00:00",
  "mdate": "2026-08-02T20:04:15+00:00",
  "gml_id": "_484561d1-1d14-11eb-8cbe-11636db21fc6.420",
  "zonage": "Zone unique",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "LineString",
      "coordinates": [
        [
          -0.552477899791536,
          44.82762942069614
        ],
        [
          -0.552743460794991,
          44.827370617357005
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 44.82750001902657,
    "lon": -0.5526106802932633
  }
}

Record 4gid: 442 · cdate: 2017-12-05T15:41:18+00:00

{
  "gid": 442,
  "cdate": "2017-12-05T15:41:18+00:00",
  "mdate": "2026-08-02T20:04:15+00:00",
  "gml_id": "_484561d1-1d14-11eb-8cbe-11636db21fc6.442",
  "zonage": "Zone unique",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "LineString",
      "coordinates": [
        [
          -0.556883392448727,
          44.846156716198465
        ],
        [
          -0.555788320189272,
          44.84552217887339
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 44.84583944753592,
    "lon": -0.5563358563189995
  }
}

Record 5gid: 444 · cdate: 2017-12-05T15:41:18+00:00

{
  "gid": 444,
  "cdate": "2017-12-05T15:41:18+00:00",
  "mdate": "2026-08-02T20:04:15+00:00",
  "gml_id": "_484561d1-1d14-11eb-8cbe-11636db21fc6.444",
  "zonage": "Zone unique",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "LineString",
      "coordinates": [
        [
          -0.55740198526539,
          44.845831895747864
        ],
        [
          -0.556208385676851,
          44.845328355145874
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 44.84558012544687,
    "lon": -0.5568051854711207
  }
}

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Using the API

Configuration

Base URL: https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/bor_sigstapayant

License

Licence Ouverte 2.0 (France / Etalab)Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/bor_sigstapayant/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.

Full API documentation ↗

Rate limits

50 000 req/day

per ipmeasured

observed 6 days ago

Dataset

Volume & freshness

Records

1.1k

1115

Update cadence

Irregular

declared upstream

Last upstream update

6 days ago

2026-09-03

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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