# Scandlines Scraper — Germany-Denmark Ferry Routes & Prices (`studio-amba/scandlines-scraper`) Actor Extract ferry route data from Scandlines.com — routes between Germany and Denmark (Puttgarden-Rodby, Rostock-Gedser). Prices, schedules, and crossing times. - **URL**: https://apify.com/studio-amba/scandlines-scraper.md - **Developed by:** [Studio Amba](https://apify.com/studio-amba) (community) - **Categories:** Travel - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $8.00 / 1,000 result scrapeds 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.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 ## Scandlines Scraper -- Ferry Routes, Schedules & Prices Between Denmark and Germany Extract ferry route information, crossing times, departure schedules, and prices from [Scandlines.com](https://www.scandlines.com) -- the major ferry operator connecting Denmark and Germany across the Baltic Sea, carrying millions of passengers and vehicles annually. ### What is Scandlines Scraper? Scandlines operates two of Northern Europe's busiest ferry corridors: the Puttgarden-Rodby crossing (45 minutes, connecting Germany's Fehmarn island to Denmark's Lolland) and the Rostock-Gedser route (2 hours, linking the German coast to southern Denmark). Together, these routes form a critical transport link between Scandinavia and continental Europe. This actor scrapes route information from the Scandlines website, extracting structured data about routes, departure/arrival ports, crossing durations, frequency, pricing, and descriptions. What people build with it: - **Travel planning applications** -- developers integrate ferry schedules into multimodal route planners that combine road, rail, and sea crossings for trips between Scandinavia and mainland Europe. - **Logistics cost modelling** -- freight companies and supply chain analysts track Scandlines pricing to optimise their Denmark-Germany transport budgets. - **Tourism content** -- travel agencies and bloggers pull route data and descriptions to populate their Scandinavian travel guides with accurate ferry crossing information. - **Competitive monitoring** -- transport operators and the upcoming Fehmarn Belt tunnel project track Scandlines' pricing, frequency, and service offerings. - **Price tracking** -- regular travellers and commuter groups monitor fare changes on routes they use frequently. - **Mobility research** -- transport economists study the competitive dynamics between the Scandlines ferry corridor and the upcoming Fehmarn Belt fixed link (tunnel) to model traffic diversion scenarios. ### What data does Scandlines Scraper extract? Each route entry contains: - :ferry: **Route name** -- the crossing identification (e.g., "Puttgarden - Rodby") - :anchor: **Departure and arrival ports** -- origin and destination harbours - :clock1: **Departure and arrival times** -- scheduled crossing times - :hourglass: **Duration** -- crossing time in minutes - :repeat: **Frequency** -- departures per day - :euro: **Price** -- fare amount and currency (EUR or DKK) - :car: **Vehicle type** -- what the pricing applies to (car, motorcycle, camper, etc.) - :scroll: **Description** -- route description and facilities information - :camera: **Image** -- route hero image from the website - :link: **URL** -- direct link to the route page on scandlines.com ### How to scrape Scandlines | Field | Type | Required | Description | |-------|------|----------|-------------| | `startUrls` | Array | No | Scandlines pages to scrape (default: routes overview page) | | `searchQuery` | String | No | Search by keyword: `"Puttgarden"`, `"Rostock"`, `"Gedser"` | | `maxResults` | Integer | No | Maximum routes/departures to return (default: 100) | | `proxyConfiguration` | Object | No | Proxy settings for reliability | **Tips:** - Leave all inputs empty to scrape the complete routes overview from scandlines.com/routes. - Use `searchQuery` to find specific route information by port name. - The actor follows route links from listing pages, then extracts detailed information from each route's detail page. ### Output ```json { "routeName": "Puttgarden - Rodby", "departure": "Puttgarden", "arrival": "Rodby", "departureTime": "Every 30 minutes", "arrivalTime": "", "duration": "45 min", "frequency": "Up to 46 departures daily", "price": 49, "currency": "EUR", "vehicleType": "", "description": "The Puttgarden-Rodby route is the fastest connection between Germany and Denmark. With a crossing time of just 45 minutes and departures every 30 minutes, it is the preferred choice for travellers on the E47 motorway corridor...", "imageUrl": "https://www.scandlines.com/media/puttgarden-rodby-hero.jpg", "url": "https://www.scandlines.com/routes/puttgarden-rodby", "scrapedAt": "2026-04-03T11:30:00.000Z" } ```` ### How much does it cost? Scandlines Scraper uses lightweight CheerioCrawler: | Volume | Estimated CUs | Estimated Cost | |--------|--------------|----------------| | All routes (2-4) | ~0.01 | ~$0.005 | | All route details + sub-pages | ~0.05 | ~$0.025 | Scandlines has a small number of routes, so even a complete scrape is very cheap. ### Can I integrate? Feed ferry data into your applications: - **Google Sheets** -- maintain a fare comparison sheet updated weekly - **Slack** -- get notified about price changes on your regular route - **Zapier / Make** -- trigger travel booking workflows based on fare thresholds - **Webhooks** -- pipe route data into your own travel planning application - **PostgreSQL** -- build a historical fare tracking database ### Can I use it as an API? Yes. Perfect for travel planning integrations: **Python:** ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("studio-amba/scandlines-scraper").call(run_input={ "maxResults": 20, }) for route in client.dataset(run["defaultDatasetId"]).iterate_items(): print(f"{route['routeName']} | {route.get('duration', '?')} | EUR {route.get('price', '?')}") ``` **JavaScript:** ```javascript import { ApifyClient } from "apify-client"; const client = new ApifyClient({ token: "YOUR_API_TOKEN" }); const run = await client.actor("studio-amba/scandlines-scraper").call({ maxResults: 20, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((route) => { console.log(`${route.routeName} | ${route.duration || "?"} | EUR ${route.price || "?"}`); }); ``` ### FAQ **What routes does Scandlines operate?** Two main corridors: Puttgarden (Germany) to Rodby (Denmark) and Rostock (Germany) to Gedser (Denmark). The Puttgarden-Rodby route has the most frequent departures. **Does this include real-time departure schedules?** The actor extracts published route information and pricing. For real-time departure status, the Scandlines website may provide additional live data not captured here. **Can I get prices for specific vehicle types?** The actor extracts pricing information as displayed on the website. Detailed per-vehicle-type pricing may require visiting the booking flow, which this actor does not access. **Does it cover the Fehmarn Belt tunnel?** No. The Fehmarn Belt tunnel is a future fixed link that will compete with the Puttgarden-Rodby ferry when completed. This actor only covers existing Scandlines ferry services. **Is pricing in EUR or DKK?** Scandlines displays prices in both currencies depending on the departure country and page context. The actor captures whichever currency is shown. **How frequent are departures on the Puttgarden-Rodby route?** Puttgarden-Rodby is one of Europe's busiest ferry corridors, with departures roughly every 30 minutes during peak season. That translates to up to 46 daily crossings. The 45-minute crossing time makes it faster than driving around through Jutland for most Danish-German travel. **Can I use this for freight and logistics planning?** The actor captures route-level information (schedule, duration, pricing). For freight-specific booking, capacity availability, and dangerous goods restrictions, you would need to access Scandlines' commercial freight portal directly. **Does Scandlines operate hybrid/electric ferries?** Yes. Scandlines has invested heavily in hybrid-electric ferries, especially on the Puttgarden-Rodby route. The actor does not capture vessel specifications, but the route data itself is accurate regardless of which specific ferry operates a given crossing. **What about the Helsingborg-Helsingor route?** That crossing is operated by ForSea (formerly HH Ferries), not Scandlines. This actor only covers Scandlines routes. ### Limitations - Scandlines has a small number of routes (2 main corridors), so the dataset is naturally limited in size. - Dynamic pricing (prices that vary by date, time, vehicle type, and booking lead time) requires the booking flow. This actor captures advertised/starting prices. - The website structure may change seasonally as Scandlines updates promotional content. - Some route information pages use JavaScript-rendered content that CheerioCrawler cannot access. The actor extracts what is available in the initial HTML. - Sub-pages about onboard services, facilities, and restaurants may be included in results alongside route data. ### Related transport and travel scrapers - [NMBS Scraper](https://apify.com/studio-amba/nmbs-scraper) -- Belgian train connections and live departure boards - [Touring Scraper](https://apify.com/studio-amba/touring-scraper) -- Belgian automobile club travel guides and border crossing info - [Prisjakt Scraper](https://apify.com/studio-amba/prisjakt-scraper) -- Nordic price comparison (for shopping in Denmark/Sweden) - [AutoVlan Scraper](https://apify.com/studio-amba/autovlan-scraper) -- Belgian used cars (for the road trip to catch the ferry) ### Your feedback Need real-time departure data, seasonal pricing tracking, or support for other ferry operators? Open an issue on GitHub or contact us through Apify. We build based on what users need. # Actor input Schema ## `startUrls` (type: `array`): Scandlines pages to scrape. Example: https://www.scandlines.com/routes ## `searchQuery` (type: `string`): Search for routes by keyword (e.g., 'Puttgarden', 'Rostock', 'Gedser'). ## `maxResults` (type: `integer`): Maximum number of routes/departures to return. ## `proxyConfiguration` (type: `object`): Proxy settings for reliability. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.scandlines.com/routes" } ], "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 = { "startUrls": [ { "url": "https://www.scandlines.com/routes" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("studio-amba/scandlines-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 = { "startUrls": [{ "url": "https://www.scandlines.com/routes" }] } # Run the Actor and wait for it to finish run = client.actor("studio-amba/scandlines-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 '{ "startUrls": [ { "url": "https://www.scandlines.com/routes" } ] }' | apify call studio-amba/scandlines-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=studio-amba/scandlines-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Scandlines Scraper — Germany-Denmark Ferry Routes & Prices", "description": "Extract ferry route data from Scandlines.com — routes between Germany and Denmark (Puttgarden-Rodby, Rostock-Gedser). Prices, schedules, and crossing times.", "version": "0.1", "x-build-id": "qt15CAspRJh8S0BY9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/studio-amba~scandlines-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-studio-amba-scandlines-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/studio-amba~scandlines-scraper/runs": { "post": { "operationId": "runs-sync-studio-amba-scandlines-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/studio-amba~scandlines-scraper/run-sync": { "post": { "operationId": "run-sync-studio-amba-scandlines-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Scandlines pages to scrape. Example: https://www.scandlines.com/routes", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Search for routes by keyword (e.g., 'Puttgarden', 'Rostock', 'Gedser')." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of routes/departures to return.", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for reliability." } } }, "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 } } } } } } } } } } ```