# French Railway Stations Directory (SNCF) — UIC Codes & GPS (`vigilant_jasmine/french-railway-stations-sncf`) Actor Search 6469 French railway stations from SNCF open data. Get UIC code, name, commune, department, passenger/freight flags, line code and GPS coordinates. Free. - **URL**: https://apify.com/vigilant\_jasmine/french-railway-stations-sncf.md - **Developed by:** [DEV DEV](https://apify.com/vigilant_jasmine) (community) - **Categories:** Travel, Developer tools - **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 Railway Stations Directory (SNCF) — UIC Codes & GPS Search the **complete directory of French railway stations** ("liste des gares SNCF") — all **6 469** stations on the national rail network, from Paris Gare du Nord down to unstaffed rural halts and freight-only yards. Get the **UIC code** (the standard identifier used across European rail systems), the commune, whether the station serves **passengers, freight or both**, its line code and its **GPS coordinates**. **This actor is free.** You only pay your own Apify platform usage. > Related: for Paris/Île-de-France urban transit stops (metro, RER, tram) use the Île-de-France transit actor; for full timetable feeds, the GTFS dataset finder. ### Input | Field | Type | Description | |---|---|---| | `stationNames` | array | Search by station name: `Lille`, `Bordeaux`… Multiple = OR. Empty = all stations. | | `communes` | array | Commune name as used by SNCF (uppercase, e.g. `PARIS`). | | `departments` | array | Department **name**, uppercase (e.g. `NORD`) — this dataset uses names, not numeric codes. | | `passengerOnly` | boolean | Keep only passenger stations. Default `false`. | | `freightOnly` | boolean | Keep only freight stations. Default `false`. | | `maxResults` | integer | Cap on results. Default `100`. | ### Output One item per station, each with a `status` field (`found` / `not_found` / `error`). ```json { "status": "found", "uicCode": "87731448", "name": "Porte Maillot", "commune": "PARIS", "department": "PARIS", "servesPassengers": true, "servesFreight": false, "lineCode": "979000", "kilometricPoint": "005+500", "networkId": "109993", "longitude": 2.282700734140375, "latitude": 48.87802770024631, "lambert93X": 647391.4362, "lambert93Y": 6864461.9163 } ```` Coordinates are provided in both **WGS84** (longitude/latitude, for maps and geocoding) and **Lambert 93** (the French national projection, for GIS work). ### Use cases - **Travel & mobility apps** — resolve a station name to a UIC code and coordinates. - **Logistics & freight planning** — find freight-capable stations near a site. - **Geospatial analysis** — map rail accessibility by commune or department. - **Data enrichment** — attach UIC codes to an existing dataset of places or addresses. ### Limitations & fair use - Source: [SNCF open data — Liste des gares](https://ressources.data.sncf.com/explore/dataset/liste-des-gares/) published under the **Licence Ouverte** (open licence, free to reuse). - This is a **directory**, not a timetable: it contains no departures, arrivals or service information. - Commune and department are stored as **uppercase names** (not INSEE or numeric codes), so filters match on text. - A station may appear more than once when it sits on several lines (different `lineCode` / `kilometricPoint`). - The API caps pagination at an offset of **10 000** — narrow your filters to reach deeper result sets. - The actor retries with backoff and paces requests to stay polite to the source. ### More actors by this developer Reliable data tools built on official French & EU open data APIs — company data, compliance checks, geo and environment: **[apify.com/vigilant\_jasmine](https://apify.com/vigilant_jasmine)** # Actor input Schema ## `stationNames` (type: `array`): Search by station name, e.g. "Lille", "Bordeaux". Multiple names are combined with OR. Leave empty to list all stations. ## `communes` (type: `array`): Filter by commune name as used by SNCF (uppercase, e.g. PARIS, LYON). ## `departments` (type: `array`): Filter by department name as used by SNCF (uppercase, e.g. NORD, RHONE). Note: this dataset uses names, not numeric codes. ## `passengerOnly` (type: `boolean`): Keep only stations open to passenger traffic. ## `freightOnly` (type: `boolean`): Keep only stations handling freight. ## `maxResults` (type: `integer`): Maximum number of stations to return. ## Actor input object example ```json { "stationNames": [ "Lille" ], "communes": [], "departments": [], "passengerOnly": false, "freightOnly": false, "maxResults": 100 } ``` # 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 = { "stationNames": [ "Lille" ] }; // Run the Actor and wait for it to finish const run = await client.actor("vigilant_jasmine/french-railway-stations-sncf").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 = { "stationNames": ["Lille"] } # Run the Actor and wait for it to finish run = client.actor("vigilant_jasmine/french-railway-stations-sncf").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 '{ "stationNames": [ "Lille" ] }' | apify call vigilant_jasmine/french-railway-stations-sncf --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=vigilant_jasmine/french-railway-stations-sncf", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "French Railway Stations Directory (SNCF) — UIC Codes & GPS", "description": "Search 6469 French railway stations from SNCF open data. Get UIC code, name, commune, department, passenger/freight flags, line code and GPS coordinates. Free.", "version": "0.0", "x-build-id": "IRi5d09O7B71PSAog" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/vigilant_jasmine~french-railway-stations-sncf/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-vigilant_jasmine-french-railway-stations-sncf", "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-railway-stations-sncf/runs": { "post": { "operationId": "runs-sync-vigilant_jasmine-french-railway-stations-sncf", "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-railway-stations-sncf/run-sync": { "post": { "operationId": "run-sync-vigilant_jasmine-french-railway-stations-sncf", "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", "properties": { "stationNames": { "title": "Station names", "type": "array", "description": "Search by station name, e.g. \"Lille\", \"Bordeaux\". Multiple names are combined with OR. Leave empty to list all stations.", "items": { "type": "string" } }, "communes": { "title": "Commune names", "type": "array", "description": "Filter by commune name as used by SNCF (uppercase, e.g. PARIS, LYON).", "default": [], "items": { "type": "string" } }, "departments": { "title": "Department names", "type": "array", "description": "Filter by department name as used by SNCF (uppercase, e.g. NORD, RHONE). Note: this dataset uses names, not numeric codes.", "default": [], "items": { "type": "string" } }, "passengerOnly": { "title": "Passenger stations only", "type": "boolean", "description": "Keep only stations open to passenger traffic.", "default": false }, "freightOnly": { "title": "Freight stations only", "type": "boolean", "description": "Keep only stations handling freight.", "default": false }, "maxResults": { "title": "Max results", "minimum": 1, "type": "integer", "description": "Maximum number of stations to return.", "default": 100 } } }, "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 } } } } } } } } } } ```