# České Dráhy Connections Scraper (`jindrich.bar/ceske-drahy-connections`) Actor Scrape train connections from České Dráhy (Czech state railways) with departure dates, prices, train types, and more. - **URL**: https://apify.com/jindrich.bar/ceske-drahy-connections.md - **Developed by:** [Jindřich Bär](https://apify.com/jindrich.bar) (community) - **Categories:** Developer tools, Travel, E-commerce - **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.50 / 1,000 search results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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.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 ## České dráhy connection scraper Search train connections on [cd.cz](https://www.cd.cz/) and get back a structured dataset of routes, times, train legs, and prices. ### What it does Given a departure station, a destination, and an optional date/time, the actor finds the next train connections offered by České dráhy and stores them in the dataset. For each connection you get: - Departure and arrival as ISO timestamps - Total travel time in minutes - Number of transfers - Per-train breakdown: name, carrier, end station, departure / arrival, distance in kilometres, expected occupancy - Price in CZK (when ticketing is available) The actor automatically paginates over the cd.cz timetable and skips gaps in service so you reliably get the requested number of connections — even for routes where direct service runs only on selected days. ### Inputs | Field | Required | Default | Description | | --- | --- | --- | --- | | `from` | yes | — | Departure station name (Czech diacritics supported) | | `to` | yes | — | Destination station name (foreign cities should include the country, e.g. `"München; Německo"`) | | `date` | no | today | Departure date (date picker, ISO `YYYY-MM-DD`) | | `time` | no | now + 2 h | Departure time (`HH:MM`) | | `maxChanges` | no | `4` | Maximum allowed transfers per connection | | `onlyDirectConnections` | no | `false` | Only return connections without transfers | | `serviceClass` | no | `Class2` | `Class1`, `Class2`, or `ClassBusiness` | | `maxResults` | no | `20` | Maximum number of connections to push to the dataset | | `fetchPrices` | no | `true` | Whether to fetch the price for each connection | #### Example input ```json { "from": "Praha hl.n.", "to": "Copenhagen", "date": "2026-05-14", "time": "00:00", "onlyDirectConnections": true, "maxResults": 20, "fetchPrices": true } ```` ### Output Each item in the dataset describes one connection. #### Example item ```json { "id": 80002583, "handle": 27910947, "from": "Praha hl.n.", "to": "Koebenhavn H", "departure": "2026-05-14T04:31:00.000Z", "arrival": "2026-05-14T17:38:00.000Z", "timeLengthMinutes": 787, "changesCount": 0, "price": 4280, "trains": [ { "name": "rj 384 Berliner", "number": "384", "carrier": "ČD", "endStation": "Hamburg-Altona", "from": "Praha hl.n.", "to": "Koebenhavn H", "departure": "2026-05-14T04:31:00.000Z", "arrival": "2026-05-14T17:38:00.000Z", "timeLengthMinutes": 787, "distanceKilometres": 1124, "delay": -1, "waitTime": 0, "occupancyLevel": 0, "description": "railjet (Praha hl.n. – Hamburg-Altona)" } ] } ``` `price` is in CZK; `null` means the price could not be retrieved (sold out, no ticketing available, or `fetchPrices: false`). `changesCount` is `0` for direct connections. ### Pricing The actor uses Apify pay-per-event pricing — one `search-result` event is charged for every connection pushed to the dataset. ### Agentic use The actor is built for use by AI agents: - **Structured input schema.** Every input has a title, type, description, and validation rules so an agent can fill it in correctly without extra prompting. - **Structured output schema.** Each dataset item has a stable, typed shape — agents can read fields like `departure`, `price`, or `changesCount` without parsing prose. - **ISO timestamps.** Departures and arrivals are emitted as ISO 8601 UTC strings (`2026-05-14T04:31:00.000Z`), ready to be diffed, sorted, or compared. - **Numeric quantities.** `timeLengthMinutes`, `distanceKilometres`, `changesCount`, `price` are numbers, not formatted strings — no parsing of "2 hod 48 min" or "213 km" required. - **Predictable output.** Connections are returned in chronological order; duplicates are removed; gaps in the cd.cz timetable are skipped automatically up to `maxResults`. - **Event-level cost control.** Pay-per-event billing means an agent that sets a small `maxResults` pays only for what it consumes. Typical agent prompts that map cleanly onto this actor: - *"Find the cheapest train from Praha to Brno tomorrow morning."* - *"How long does the direct train from Praha to Berlin take, and when does the next one leave?"* - *"List all direct overnight trains from Praha to Copenhagen in the next two weeks."* The agent populates the input, runs the actor, then reads the resulting dataset items directly — no scraping, no HTML, no string parsing. # Actor input Schema ## `from` (type: `string`): Departure station name (e.g. "Praha", "Aš město"). Czech diacritics are supported. ## `to` (type: `string`): Destination station name. Foreign destinations should include the country (e.g. "München; Německo"). ## `date` (type: `string`): Departure date. Leave empty to use today + 2 hours. ## `time` (type: `string`): Time in HH:MM (24h) format. Leave empty to use the current time + 2 hours. ## `maxChanges` (type: `integer`): Maximum allowed train changes per connection. ## `onlyDirectConnections` (type: `boolean`): If enabled, only connections without transfers are searched. ## `serviceClass` (type: `string`): Travel class. ## `maxResults` (type: `integer`): Maximum number of connections to push to the dataset. The actor stops after this many items. ## `fetchPrices` (type: `boolean`): If enabled, the price for each connection is fetched. Disabling speeds up the actor at the cost of missing price information. ## Actor input object example ```json { "from": "Praha", "to": "München; Německo", "maxChanges": 4, "onlyDirectConnections": false, "serviceClass": "Class2", "maxResults": 20, "fetchPrices": true } ``` # Actor output Schema ## `connections` (type: `string`): Default dataset items — one entry per train connection, each with the train legs and the price in CZK. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("jindrich.bar/ceske-drahy-connections").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 = {} # Run the Actor and wait for it to finish run = client.actor("jindrich.bar/ceske-drahy-connections").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 '{}' | apify call jindrich.bar/ceske-drahy-connections --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jindrich.bar/ceske-drahy-connections", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "České Dráhy Connections Scraper", "description": "Scrape train connections from České Dráhy (Czech state railways) with departure dates, prices, train types, and more.", "version": "0.0", "x-build-id": "Rw7kbyrKjh29qKrJ5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jindrich.bar~ceske-drahy-connections/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jindrich.bar-ceske-drahy-connections", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jindrich.bar~ceske-drahy-connections/runs": { "post": { "operationId": "runs-sync-jindrich.bar-ceske-drahy-connections", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jindrich.bar~ceske-drahy-connections/run-sync": { "post": { "operationId": "run-sync-jindrich.bar-ceske-drahy-connections", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "from", "to" ], "properties": { "from": { "title": "From station", "type": "string", "description": "Departure station name (e.g. \"Praha\", \"Aš město\"). Czech diacritics are supported.", "default": "Praha" }, "to": { "title": "To station", "type": "string", "description": "Destination station name. Foreign destinations should include the country (e.g. \"München; Německo\").", "default": "München; Německo" }, "date": { "title": "Departure date", "type": "string", "description": "Departure date. Leave empty to use today + 2 hours." }, "time": { "title": "Departure time", "pattern": "^\\d{1,2}:\\d{2}$", "type": "string", "description": "Time in HH:MM (24h) format. Leave empty to use the current time + 2 hours." }, "maxChanges": { "title": "Max transfers", "minimum": 0, "maximum": 10, "type": "integer", "description": "Maximum allowed train changes per connection.", "default": 4 }, "onlyDirectConnections": { "title": "Only direct connections", "type": "boolean", "description": "If enabled, only connections without transfers are searched.", "default": false }, "serviceClass": { "title": "Service class", "enum": [ "Class1", "Class2", "ClassBusiness" ], "type": "string", "description": "Travel class.", "default": "Class2" }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of connections to push to the dataset. The actor stops after this many items.", "default": 20 }, "fetchPrices": { "title": "Fetch prices", "type": "boolean", "description": "If enabled, the price for each connection is fetched. Disabling speeds up the actor at the cost of missing price information.", "default": true } } }, "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 } } } } } } } } } } ```