# French Speed Cameras Finder (Radars) (`vigilant_jasmine/french-speed-cameras-radars`) Actor Get official French speed camera (radar) locations by department: GPS coordinates, radar type, road, direction and posted speed limits. Free, from data.gouv.fr open data. - **URL**: https://apify.com/vigilant\_jasmine/french-speed-cameras-radars.md - **Developed by:** [DEV DEV](https://apify.com/vigilant_jasmine) (community) - **Categories:** Automation, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## French Speed Cameras Finder (Radars) **What it does.** This free actor returns official French speed camera (radar automatique) locations by department, straight from the government open-data release published by the Sécurité Routière on data.gouv.fr. For each radar you get GPS coordinates, radar type (fixe, feu rouge, tronçon, discriminant…), the road and direction, installation date and posted speed limits for light vehicles and trucks. Idéal pour cartographier les radars en France (radars automatiques, radars fixes) par département. ### Input | Field | Type | Description | |---|---|---| | `departments` | array of strings | French department codes, e.g. `"75"`, `"13"`, `"2A"`. One dataset item per radar. | | `maxResults` | integer | Max radars returned per department (default 500). | ### Output (example) ```json { "status": "found", "id": 13750, "departement": "75", "type": "Radar fixe", "emplacement": "PARIS", "route": "Avenue de la Grande Armée", "direction": "Place C. De Gaulle vers Place de la Porte Maillot", "latitude": 48.875971, "longitude": 2.288479, "vitesse_vehicules_legers_kmh": 50 } ```` Each row carries a `status` field: `found`, `not_found` (no radar in that department) or `error`. ### Use cases - Build a speed-camera layer for a navigation or mapping app. - Road-safety analysis and heatmaps by department. - Enrich fleet / telematics data with nearby radar positions. - Journalism and open-data research on French road enforcement. ### Limitations & fair use Data is refreshed from the official data.gouv.fr resource. Coordinates are approximate and for information only — always follow posted signs and local law. Open licence (Etalab). This actor is **free**: you only pay your Apify platform usage. More actors by this developer: https://apify.com/vigilant\_jasmine # Actor input Schema ## `departments` (type: `array`): French department codes to fetch radars for (e.g. "75", "13", "2A"). One dataset item per radar found. ## `maxResults` (type: `integer`): Maximum number of radars returned per department. ## Actor input object example ```json { "departments": [ "75", "06" ], "maxResults": 500 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "departments": [ "75", "06" ] }; // Run the Actor and wait for it to finish const run = await client.actor("vigilant_jasmine/french-speed-cameras-radars").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "departments": [ "75", "06", ] } # Run the Actor and wait for it to finish run = client.actor("vigilant_jasmine/french-speed-cameras-radars").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "departments": [ "75", "06" ] }' | apify call vigilant_jasmine/french-speed-cameras-radars --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=vigilant_jasmine/french-speed-cameras-radars", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "French Speed Cameras Finder (Radars)", "description": "Get official French speed camera (radar) locations by department: GPS coordinates, radar type, road, direction and posted speed limits. Free, from data.gouv.fr open data.", "version": "0.0", "x-build-id": "QUBQR7SI1v4SPuiLM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/vigilant_jasmine~french-speed-cameras-radars/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-vigilant_jasmine-french-speed-cameras-radars", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/vigilant_jasmine~french-speed-cameras-radars/runs": { "post": { "operationId": "runs-sync-vigilant_jasmine-french-speed-cameras-radars", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/vigilant_jasmine~french-speed-cameras-radars/run-sync": { "post": { "operationId": "run-sync-vigilant_jasmine-french-speed-cameras-radars", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "departments" ], "properties": { "departments": { "title": "Department codes", "type": "array", "description": "French department codes to fetch radars for (e.g. \"75\", \"13\", \"2A\"). One dataset item per radar found.", "items": { "type": "string" } }, "maxResults": { "title": "Max results per department", "minimum": 1, "type": "integer", "description": "Maximum number of radars returned per department.", "default": 500 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```