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Cinemas in France

by Andrei · GitHub ↗ · v1.0.1
cross-platform ✓ Security Clean
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Install in OpenClaw
/install france-cinemas
Description
Search French cinema establishments using the open data.culture.gouv.fr API. Query by city, region, proximity, screen count, Art et Essai label, and multiple...
README (SKILL.md)

France Cinemas (No API key)

Search and explore the official French government dataset of cinema establishments. The dataset contains 2,061 cinemas with screen counts, seat capacity, attendance figures, Art et Essai classification, geographic coordinates, and more.

Data source: Ministere de la Culture, updated periodically. Licence Ouverte / Open Licence.

Quick Reference

Action Endpoint
Search by city ?where=search(commune,"Lyon")
Search by name ?where=search(nom,"Gaumont")
Nearby cinemas ?where=within_distance(geolocalisation,geom'POINT(lon lat)',10km)
Art et Essai only ?where=ae="AE"
Multiplexes only ?where=multiplexe="OUI"
By region ?where=region_administrative="ILE DE FRANCE"
Top by attendance ?order_by=entrees_2022 desc&limit=10

Base URL for all queries:

https://data.culture.gouv.fr/api/explore/v2.1/catalog/datasets/etablissements-cinematographiques/records

Fields

Field Type Description
nom text Cinema name
commune text City name
dep text Department number (e.g. "75")
region_administrative text Region (e.g. "ILE DE FRANCE")
adresse text Street address
code_insee text INSEE municipality code
population_commune int City population
ecrans int Number of screens
fauteuils int Total seats
entrees_2022 int Admissions in 2022
ae text Art et Essai label ("AE" or empty)
genre text Venue type ("Fixe", "Itinerant", "Saisonnier")
multiplexe text Multiplex status ("OUI", "NON")
zone_de_la_commune text Urban zone ("U" urban, "R" rural)
geolocalisation geo_point Latitude/longitude coordinates
nombre_de_films_programmes int Number of films screened
nombre_de_films_inedits int Number of first-run films
nombre_de_films_en_semaine_1 int Films in their first week
pdm_en_entrees float Market share by admissions

Search by City or Name

Use the search() function for full-text matching on a specific field.

GET /api/explore/v2.1/catalog/datasets/etablissements-cinematographiques/records?where=search(commune,"Marseille")&limit=20

Combine with other filters using AND:

?where=search(commune,"Paris") AND ecrans>=5

Search by cinema name:

?where=search(nom,"Pathe")

Search by Region or Department

Region values are uppercase. Common values: ILE DE FRANCE, AUVERGNE-RHONE-ALPES, PROVENCE-ALPES-COTE D'AZUR, OCCITANIE, NOUVELLE-AQUITAINE, HAUTS-DE-FRANCE, GRAND EST, PAYS DE LA LOIRE, BRETAGNE, NORMANDIE, BOURGOGNE-FRANCHE-COMTE, CENTRE-VAL DE LOIRE, CORSE, OUTRE-MER.

?where=region_administrative="BRETAGNE"&limit=50

By department number:

?where=dep="75"

Geographic Proximity Search

Find cinemas within a radius of a point. Coordinates use longitude first, then latitude (POINT(lon lat)).

?where=within_distance(geolocalisation, geom'POINT(2.3522 48.8566)', 5km)

This returns cinemas within 5 km of central Paris. Supported units: m, km, mi, yd, ft.

Combine with other filters:

?where=within_distance(geolocalisation, geom'POINT(2.3522 48.8566)', 10km) AND ae="AE"

Filter by Type

Art et Essai cinemas (independent/arthouse):

?where=ae="AE"

Multiplexes (8+ screens):

?where=multiplexe="OUI"

Fixed venues only (excludes itinerant and seasonal):

?where=genre="Fixe"

Sorting and Pagination

Sort by any numeric field. Use desc for descending.

?order_by=entrees_2022 desc&limit=10

Paginate with offset:

?limit=20&offset=40

Maximum limit is 100 per request. Use offset to iterate through all results.

Selecting Fields

Return only specific fields to reduce response size:

?select=nom,commune,ecrans,fauteuils,entrees_2022&limit=10

Aggregation

Group and aggregate data:

?select=region_administrative,count(*) as total,sum(ecrans) as total_screens&group_by=region_administrative&order_by=total desc

Combining Filters

Build complex queries with AND/OR:

?where=region_administrative="BRETAGNE" AND ecrans>=3 AND ae="AE"&order_by=entrees_2022 desc

Large cinemas (10+ screens) in a city:

?where=search(commune,"Lyon") AND ecrans>=10&select=nom,commune,ecrans,fauteuils

Response Format

The API returns JSON. Each response has:

{
  "total_count": 42,
  "results": [
    {
      "nom": "CINEMA EXAMPLE",
      "commune": "PARIS",
      "ecrans": 12,
      "fauteuils": 2800,
      "entrees_2022": 450000,
      "geolocalisation": { "lat": 48.856, "lon": 2.352 },
      ...
    }
  ]
}

total_count gives the total matching records (useful for pagination). results contains the matching cinema records.

Common Recipes

Find the biggest cinema in France:

?order_by=fauteuils desc&limit=1&select=nom,commune,ecrans,fauteuils,entrees_2022

All Art et Essai cinemas in Paris:

?where=dep="75" AND ae="AE"&order_by=nom asc

Cinemas near a user's location (replace coordinates):

?where=within_distance(geolocalisation, geom'POINT(USER_LON USER_LAT)', 15km)&order_by=entrees_2022 desc&limit=10

Rural cinemas with high attendance:

?where=zone_de_la_commune="R" AND entrees_2022>50000&order_by=entrees_2022 desc

Summary statistics by region:

?select=region_administrative,count(*) as cinemas,sum(ecrans) as screens,sum(fauteuils) as seats&group_by=region_administrative&order_by=cinemas desc

Troubleshooting

No results returned

Check that text values are uppercase. Region and city names in this dataset use uppercase (e.g., "LYON" not "Lyon"). The search() function is case-insensitive, but exact equality checks are not.

Invalid query syntax

ODSQL uses double quotes for string values in where clauses. Single quotes are only used for geometry literals (geom'POINT(...)').

Pagination limit

The API returns at most 100 records per request. To retrieve all matching records, loop with offset increments of your limit value until results is empty.

Usage Guidance
This skill appears coherent and limited to querying a public French government dataset; no credentials or installs are required. Before using, consider: (1) proximity queries require you to supply coordinates — treat those as personal data you may not want to share automatically; (2) the agent will make outbound network requests to data.culture.gouv.fr when invoked, so only enable the skill for agents you trust to perform those requests; (3) if you want to restrict autonomous behavior, keep model-invocation disabled for agents that should not call skills without your confirmation.
Capability Analysis
Type: OpenClaw Skill Name: france-cinemas Version: 1.0.1 The skill bundle is benign. It provides instructions for an AI agent to query a legitimate French government open data API (`data.culture.gouv.fr`) for cinema establishments. The `SKILL.md` file contains no prompt injection attempts, instructions for unauthorized actions, data exfiltration, or execution of arbitrary commands. All described operations are limited to constructing URL parameters for a public API endpoint.
Capability Assessment
Purpose & Capability
The name and description claim access to the French governmental cinema dataset and the SKILL.md contains only query examples and field descriptions for that dataset. There are no unrelated requested binaries, environment variables, or install steps that would be disproportionate to the stated purpose.
Instruction Scope
The instructions are limited to constructing HTTP queries against the public API (data.culture.gouv.fr) and explain filters, pagination, selection and aggregation. The SKILL.md does not ask the agent to read local files, environment variables, or forward results to any third-party endpoint. Note: proximity examples use USER_LON/USER_LAT placeholders — using them would require the agent to obtain user location data, which is expected for proximity searches but is personal data when supplied.
Install Mechanism
No install spec and no code files are present; this is instruction-only so nothing is written to disk or downloaded during install.
Credentials
The skill declares no required environment variables, credentials, or config paths. That aligns with the SKILL.md statement that no API key is required for the public dataset.
Persistence & Privilege
always is false and the skill does not request persistent or elevated privileges nor does it instruct modifying other skills or system-wide agent settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install france-cinemas
  3. After installation, invoke the skill by name or use /france-cinemas
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Clarified in the title that no API key is needed (“(No API key)”). - No functional or structural changes to the skill or documentation. - Documentation now highlights the lack of an API key requirement more visibly.
v1.0.0
- Initial release of the france-cinemas skill. - Enables searching French cinema establishments via the data.culture.gouv.fr API with no API key required. - Supports filtering by city, region, proximity, screen count, Art et Essai label, and multiplex status. - Provides detailed field documentation and example query recipes. - Includes tips for sorting, selecting fields, pagination, and troubleshooting common issues.
Metadata
Slug france-cinemas
Version 1.0.1
License
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Cinemas in France?

Search French cinema establishments using the open data.culture.gouv.fr API. Query by city, region, proximity, screen count, Art et Essai label, and multiple... It is an AI Agent Skill for Claude Code / OpenClaw, with 301 downloads so far.

How do I install Cinemas in France?

Run "/install france-cinemas" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Cinemas in France free?

Yes, Cinemas in France is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Cinemas in France support?

Cinemas in France is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Cinemas in France?

It is built and maintained by Andrei (@deiu); the current version is v1.0.1.

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