Telecom ChambersChambre Télécom

Name: Telecom Chambers
Creator: opendatasoft

Chambre TélécomTelecom Chambers

APIJoinable5/7Query nowOpen workbench Subscribe🇫🇷France

Dataset providing the geolocation of telecom chambers (underground access points for cable networks) owned by the Grand Paris Sud metropolitan community in France. The data is made available to telecom operators to support the deployment of electronic communication networks, in line with Article L.33-7 of the French Postal and Electronic Communications Code, which requires infrastructure owners to share such information with operators planning network rollouts.Géolocalisation des chambres télécoms appartenant à la communauté d'agglomération de Grand Paris Sud. Ces données sont mises à disposition des opérateurs dans le cadre des déploiements des réseau de communication électronique. Article L.33-7 du code des postes et des communications électroniques....

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Trust score

How is this computed?

fair

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

Data schema (7 fields)

Filterable via the API (6)

classe_dicevacuationgeo_shapeschemalatitudelongitude

Click a field to see example values.

Field	Type	Description
classe_dicClasse dic	text	DICT
evacuation	text	Booléen (0= pas d'évacuation;1= évacuation présente)
geo_shapeShape	text	—
schema	text	—
latitudeLatitude	text	—
longitudeLongitude	text	—
geolocalisation	geo_point_2d	—

Schema captured from opendatasoft 3 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.

Where=

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Sample data (5 records)

Record 1schema: 77122_bmfa_000034.jpg · latitude: 48.6481887542664

{
  "schema": "77122_bmfa_000034.jpg",
  "latitude": "48.6481887542664",
  "geo_shape": "{ \"type\": \"Polygon\", \"coordinates\": [ [ [ 2.55065506036719, 48.648184298459135 ], [ 2.550653244352312, 48.648190875764456 ], [ 2.550672499751769, 48.648193210073707 ], [ 2.550674315764214, 48.648186632768059 ], [ 2.55065506036719, 48.648184298459135 ] ] ] }",
  "longitude": "2.5506637800588594",
  "classe_dic": "CLASSE A",
  "evacuation": "f",
  "geolocalisation": {
    "lat": 48.6481887542664,
    "lon": 2.5506637800588594
  }
}

Record 2schema: — · latitude: 48.61791940443791

{
  "schema": null,
  "latitude": "48.61791940443791",
  "geo_shape": "{ \"type\": \"Polygon\", \"coordinates\": [ [ [ 2.581147155875311, 48.617925527612023 ], [ 2.581155800791054, 48.617926330910777 ], [ 2.58115855911157, 48.617913281263178 ], [ 2.581149914197956, 48.617912477964602 ], [ 2.581147155875311, 48.617925527612023 ] ] ] }",
  "longitude": "2.5811528574939153",
  "classe_dic": "CLASSE A",
  "evacuation": "f",
  "geolocalisation": {
    "lat": 48.61791940443791,
    "lon": 2.5811528574939153
  }
}

Record 3schema: — · latitude: 48.618501465468164

{
  "schema": null,
  "latitude": "48.618501465468164",
  "geo_shape": "{ \"type\": \"Polygon\", \"coordinates\": [ [ [ 2.581283148571999, 48.61849924326571 ], [ 2.581283282997521, 48.61850390333808 ], [ 2.581300291924702, 48.618503687670518 ], [ 2.581300157497651, 48.618499027598183 ], [ 2.581283148571999, 48.61849924326571 ] ] ] }",
  "longitude": "2.5812917202479637",
  "classe_dic": "CLASSE A",
  "evacuation": "f",
  "geolocalisation": {
    "lat": 48.618501465468164,
    "lon": 2.5812917202479637
  }
}

Record 4schema: — · latitude: 48.61238466047554

{
  "schema": null,
  "latitude": "48.61238466047554",
  "geo_shape": "{ \"type\": \"Polygon\", \"coordinates\": [ [ [ 2.584093185348107, 48.612386156683463 ], [ 2.584097998189909, 48.61239076782654 ], [ 2.58411456592379, 48.612383164267193 ], [ 2.584109753081222, 48.612378553124792 ], [ 2.584093185348107, 48.612386156683463 ] ] ] }",
  "longitude": "2.5841038756357153",
  "classe_dic": "CLASSE A",
  "evacuation": "f",
  "geolocalisation": {
    "lat": 48.61238466047554,
    "lon": 2.5841038756357153
  }
}

Record 5schema: 77122_bmfa_000035.jpg · latitude: 48.64829277338362

{
  "schema": "77122_bmfa_000035.jpg",
  "latitude": "48.64829277338362",
  "geo_shape": "{ \"type\": \"Polygon\", \"coordinates\": [ [ [ 2.550615945000304, 48.648286135565058 ], [ 2.550612256156766, 48.648294715384225 ], [ 2.550637131349905, 48.648299411202359 ], [ 2.550640820189545, 48.648290831382376 ], [ 2.550615945000304, 48.648286135565058 ] ] ] }",
  "longitude": "2.5506265381741002",
  "classe_dic": "CLASSE A",
  "evacuation": "f",
  "geolocalisation": {
    "lat": 48.64829277338362,
    "lon": 2.5506265381741002
  }
}

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

Verification Status

Using the API

Configuration

Base URL: https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/chambre-telecom

License

Licence Ouverte 2.0 (France / Etalab)Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/chambre-telecom/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

5 000 req/day

per ipmeasured

observed 3 hours ago

Dataset

Volume & freshness

Records

9.5k

9496

Update cadence

Quarterly

declared upstream

Last upstream update

7 days ago

2026-09-01

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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