# French Open Transport Data Finder (GTFS) (`vigilant_jasmine/french-open-transport-datasets`) Actor Search transport.data.gouv.fr, France's national mobility data hub, for open datasets: GTFS, GTFS-RT, NeTEx, carpooling, bike-share, EV charging. Get download URLs. Free. - **URL**: https://apify.com/vigilant\_jasmine/french-open-transport-datasets.md - **Developed by:** [DEV DEV](https://apify.com/vigilant_jasmine) (community) - **Categories:** Developer tools, Travel - **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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 Open Transport Data Finder (GTFS) **What it does.** This free actor searches **transport.data.gouv.fr**, France's official *Point d'Accès National* for mobility data, and returns matching **open transport datasets** with their downloadable resources. Filter by keyword and by format (GTFS, GTFS-RT, NeTEx, SIRI, CSV…) to find feeds for buses, trains, tram, metro, carpooling, bike-share and EV charging across France — with direct download URLs. Trouvez les jeux de données de transport ouverts (GTFS, horaires, vélo) publiés en France. ### Input | Field | Type | Description | |---|---|---| | `queries` | array of strings | Keywords matched on title, type and tags. Use `"*"` to list everything. One item per matching dataset. | | `format` | string | Optional resource-format filter, e.g. `GTFS`, `gtfs-rt`, `NeTEx`, `csv`. | | `maxResults` | integer | Max datasets per keyword (default 200). | ### Output (example) ```json { "status": "found", "query": "gtfs", "title": "Horaires théoriques du réseau ...", "type": "public-transit", "publisher": "...", "covered_area": ["France"], "formats": "GTFS, NeTEx", "page_url": "https://transport.data.gouv.fr/datasets/...", "resources": [{ "title": "GTFS", "format": "GTFS", "url": "https://.../feed.zip" }] } ```` Each row carries a `status` field: `found`, `not_found` or `error`. ### Use cases - Discover and monitor GTFS / GTFS-RT feeds for any French network. - Automate download URLs for a mobility data pipeline. - Audit which operators publish open data and in which formats. - Feed a trip-planner, transit map or research project. ### Limitations & fair use The full catalogue is fetched from the official transport.data.gouv.fr API and filtered locally. Individual feeds keep their own open licences (shown per dataset). This actor is **free**: you only pay your Apify platform usage. More actors by this developer: https://apify.com/vigilant\_jasmine # Actor input Schema ## `queries` (type: `array`): Keywords matched against dataset title, type and tags (e.g. "SNCF", "velo", "bus"). Use "\*" to list everything. One dataset item per matching transport dataset. ## `format` (type: `string`): Keep only datasets exposing this resource format, e.g. GTFS, gtfs-rt, NeTEx, csv. Leave empty for all. ## `maxResults` (type: `integer`): Maximum number of datasets returned per keyword. ## Actor input object example ```json { "queries": [ "gtfs", "velo" ], "format": "", "maxResults": 200 } ``` # 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 = { "queries": [ "gtfs", "velo" ] }; // Run the Actor and wait for it to finish const run = await client.actor("vigilant_jasmine/french-open-transport-datasets").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 = { "queries": [ "gtfs", "velo", ] } # Run the Actor and wait for it to finish run = client.actor("vigilant_jasmine/french-open-transport-datasets").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 '{ "queries": [ "gtfs", "velo" ] }' | apify call vigilant_jasmine/french-open-transport-datasets --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=vigilant_jasmine/french-open-transport-datasets", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "French Open Transport Data Finder (GTFS)", "description": "Search transport.data.gouv.fr, France's national mobility data hub, for open datasets: GTFS, GTFS-RT, NeTEx, carpooling, bike-share, EV charging. Get download URLs. Free.", "version": "0.0", "x-build-id": "YUQ2a5u2p1gYkBHlK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/vigilant_jasmine~french-open-transport-datasets/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-vigilant_jasmine-french-open-transport-datasets", "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-open-transport-datasets/runs": { "post": { "operationId": "runs-sync-vigilant_jasmine-french-open-transport-datasets", "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-open-transport-datasets/run-sync": { "post": { "operationId": "run-sync-vigilant_jasmine-french-open-transport-datasets", "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": [ "queries" ], "properties": { "queries": { "title": "Keywords", "type": "array", "description": "Keywords matched against dataset title, type and tags (e.g. \"SNCF\", \"velo\", \"bus\"). Use \"*\" to list everything. One dataset item per matching transport dataset.", "items": { "type": "string" } }, "format": { "title": "Filter by resource format (optional)", "type": "string", "description": "Keep only datasets exposing this resource format, e.g. GTFS, gtfs-rt, NeTEx, csv. Leave empty for all.", "default": "" }, "maxResults": { "title": "Max results per keyword", "minimum": 1, "type": "integer", "description": "Maximum number of datasets returned per keyword.", "default": 200 } } }, "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 } } } } } } } } } } ```