# Berlin Public Transport — VBB Departures (`ponderable_hydrometer/berlin-vbb-scraper`) Actor Live Berlin/Brandenburg public transport (VBB) — departures with real-time delays and platforms, stop search and multi-leg journey planning. Free, no key. - **URL**: https://apify.com/ponderable\_hydrometer/berlin-vbb-scraper.md - **Developed by:** [Ponderable Hydrometer](https://apify.com/ponderable_hydrometer) (community) - **Categories:** Developer tools, Automation, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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 ## Berlin VBB — Live Departures, Stops & Journeys **Three transit primitives in one keyless actor over the whole VBB network (Berlin + Brandenburg):** real-time departures with actual delays and platforms, name→stop-id search, and full multi-leg journey planning. Covers S-Bahn, U-Bahn, tram, bus and regional trains. Free, no API key. A drop-in data source for departure boards, trip planners and mobility apps. ### What you get - **departures** — per departure: stop, line, mode/product, direction, live `when` vs `plannedWhen`, `delay` (seconds), `platform`/`plannedPlatform`, operator, `tripId`, and service `remarks`. - **stop-search** — per stop: `id`, name, type, latitude/longitude, `products` served (suburban, subway, tram, bus, …), and `ifopt`. - **journeys** — per route: `from`/`to`, departure/arrival, `legCount`, `transfers`, and a `legs[]` array with per-leg origin/destination, times, delays, line, mode, direction and platforms. ### Output sample (mode: departures) ```json { "stopId": "900100003", "stopName": "S+U Alexanderplatz", "line": "U8", "mode": "train", "product": "subway", "direction": "Wittenau", "when": "2026-07-12T14:32:00+02:00", "plannedWhen": "2026-07-12T14:30:00+02:00", "delay": 120, "platform": "2", "plannedPlatform": "2", "tripId": "1|12345|...", "operator": "Berliner Verkehrsbetriebe", "remarks": ["Elevator out of service"] } ```` ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `mode` | string | `departures` | `departures`, `stop-search` or `journeys` | | `stopIds` | array | `["900100003"]` | VBB stop ids (for `departures`) | | `query` | string | — | Stop name to search (for `stop-search`) | | `from` / `to` | string | — | Origin/destination stop id or place name (for `journeys`) | | `duration` | integer | `30` | Departures look-ahead window in minutes | | `maxResults` | integer | `200` | Cap on rows returned | ### Example input ```json { "mode": "departures", "stopIds": ["900100003"], "duration": 30, "maxResults": 50 } ``` Find a stop id first with `{"mode":"stop-search","query":"Alexanderplatz","maxResults":20}`, then plan a trip with `{"mode":"journeys","from":"900100003","to":"900003201","maxResults":3}`. ### Why this actor - **Real live data** — actual delays, platforms and remarks, not just a static timetable. - **Whole network, one actor** — S-Bahn, U-Bahn, tram, bus and regional across Berlin + Brandenburg, with all three primitives (departures, stop lookup, journeys). - **Keyless & schedulable** — no key to manage; schedule it for a live departure feed. ### Pricing Pay per result — **$2.00 per 1,000 results** (one result = one departure, stop or journey). No subscription; you pay only for what you get. ### Notes & limits - Source: `https://v6.vbb.transport.rest`, a public, keyless community HAFAS REST mirror of the VBB endpoint. No API key required. - Live times depend on upstream real-time data availability. Not affiliated with VBB/BVG. ### Related actors - **Transitland Scraper** — global GTFS operators, routes and stops. - **TfL London Scraper** — live London transport data. - **Mobility Database Scraper** — worldwide GTFS feed catalogue. # Actor input Schema ## `mode` (type: `string`): "departures" = live departures for stop ids. "stop-search" = find stops by name. "journeys" = plan routes between two stops. ## `stopIds` (type: `array`): VBB stop ids, e.g. \["900100003"] (S+U Alexanderplatz). Find them with mode=stop-search. ## `query` (type: `string`): Search stops by name, e.g. "Alexanderplatz". ## `from` (type: `string`): Origin stop id (or place name), e.g. "900100003". ## `to` (type: `string`): Destination stop id (or place name), e.g. "900003201". ## `duration` (type: `integer`): How many minutes ahead to fetch departures. Default 30. ## `maxResults` (type: `integer`): Cap on number of rows returned. ## Actor input object example ```json { "mode": "departures", "stopIds": [ "900100003" ], "duration": 30, "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 = { "stopIds": [ "900100003" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ponderable_hydrometer/berlin-vbb-scraper").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 = { "stopIds": ["900100003"] } # Run the Actor and wait for it to finish run = client.actor("ponderable_hydrometer/berlin-vbb-scraper").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 '{ "stopIds": [ "900100003" ] }' | apify call ponderable_hydrometer/berlin-vbb-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ponderable_hydrometer/berlin-vbb-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Berlin Public Transport — VBB Departures", "description": "Live Berlin/Brandenburg public transport (VBB) — departures with real-time delays and platforms, stop search and multi-leg journey planning. Free, no key.", "version": "0.1", "x-build-id": "Jz0QLkRJ7eiQ3tHW7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ponderable_hydrometer~berlin-vbb-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ponderable_hydrometer-berlin-vbb-scraper", "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/ponderable_hydrometer~berlin-vbb-scraper/runs": { "post": { "operationId": "runs-sync-ponderable_hydrometer-berlin-vbb-scraper", "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/ponderable_hydrometer~berlin-vbb-scraper/run-sync": { "post": { "operationId": "run-sync-ponderable_hydrometer-berlin-vbb-scraper", "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": { "mode": { "title": "Mode", "enum": [ "departures", "stop-search", "journeys" ], "type": "string", "description": "\"departures\" = live departures for stop ids. \"stop-search\" = find stops by name. \"journeys\" = plan routes between two stops.", "default": "departures" }, "stopIds": { "title": "Stop ids (for departures)", "type": "array", "description": "VBB stop ids, e.g. [\"900100003\"] (S+U Alexanderplatz). Find them with mode=stop-search.", "items": { "type": "string" } }, "query": { "title": "Stop name query (for stop-search)", "type": "string", "description": "Search stops by name, e.g. \"Alexanderplatz\"." }, "from": { "title": "From (for journeys)", "type": "string", "description": "Origin stop id (or place name), e.g. \"900100003\"." }, "to": { "title": "To (for journeys)", "type": "string", "description": "Destination stop id (or place name), e.g. \"900003201\"." }, "duration": { "title": "Departures window (minutes)", "minimum": 1, "type": "integer", "description": "How many minutes ahead to fetch departures. Default 30.", "default": 30 }, "maxResults": { "title": "Max results", "minimum": 1, "type": "integer", "description": "Cap on number of rows returned.", "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 } } } } } } } } } } ```