# Maritime Vessel Intelligence (AIS) (`straightforward_hydra/maritime-vessel-intelligence`) Actor Live AIS vessel tracking + ship intelligence for the Baltic Sea / Northern Europe. No key. - **URL**: https://apify.com/straightforward\_hydra/maritime-vessel-intelligence.md - **Developed by:** [Dev D](https://apify.com/straightforward_hydra) (community) - **Categories:** Developer tools, Travel, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 vessels 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 ## Maritime Vessel Intelligence (AIS) 🚢 **Live AIS vessel tracking + ship intelligence for the Baltic Sea / Northern Europe — straight from Finland's official Digitraffic service. No API key, no proxy.** Get a live snapshot of vessels at sea, each **merged with its identity**: position, speed, course and navigation status combined with vessel name, IMO, ship type, destination, draught and ETA. AIS/vessel data is normally paid and locked behind commercial APIs — this uses a fully open government feed. Perfect for **maritime logistics & port ops, supply-chain visibility, shipping analytics, research and journalism**, and vessel-monitoring apps. > Uses **Digitraffic** (Finnish Transport Infrastructure Agency) — no key, no login. > **Coverage:** Baltic Sea / Northern Europe (the area Digitraffic receives AIS for). --- ### Modes - 🛰️ **Live vessel positions** — every currently-tracked vessel with position + identity. - ⚓ **Port calls** — recent/scheduled port call records. ### Features - ✅ **No API key, no proxy** — open government AIS feed. - ✅ **Position + identity in one row** — name, IMO, type, destination, not just coordinates. - ✅ **Decoded** — ship-type category, navigation status and AIS ETA decoded to readable values. - ✅ **Filters** — by MMSI, ship-type category, bounding box, or moving-only. --- ### Input | Field | Description | |---|---| | **Mode** | positions / port-calls. | | **MMSI list** | Track specific vessels, e.g. `["230099950"]`. | | **Ship type categories** | Cargo / Tanker / Passenger / Fishing / …. | | **Moving only** | Only vessels under way (speed > 0.5 kn). | | **Bounding box** | minLat / maxLat / minLon / maxLon. | | **Max results** | Cap on records. | #### Example — moving cargo & tankers ```json { "mode": "positions", "shipTypeCategories": ["Cargo", "Tanker"], "movingOnly": true } ```` #### Example — track specific vessels ```json { "mode": "positions", "mmsiList": ["230099950", "245656000"] } ``` ### Output ```json { "mmsi": 245656000, "name": "BOTHNIABORG", "imo": 9182160, "call_sign": "PBGV", "ship_type": 70, "ship_type_category": "Cargo", "destination": "BREMEN", "eta": "07-19 17:00", "draught_m": 7.2, "latitude": 60.01, "longitude": 24.95, "speed_knots": 15.9, "course": 212.4, "heading": 210, "nav_status": "Under way using engine", "position_timestamp": 1690000000, "url": "https://www.marinetraffic.com/en/ais/details/ships/mmsi:245656000" } ``` ### Run it on a schedule Run every few minutes to build a track history for your fleet or a sea area — pipe to a database, map or webhook for live monitoring and ETA prediction. ### Notes & limitations - **Coverage is regional** (Baltic Sea / Northern Europe) — this is a Finnish government feed, not global AIS. - AIS is self-reported by vessels; some fields (destination, ETA, occasionally speed) can be stale or inconsistent — values are passed through faithfully. - Data source: Digitraffic / Fintraffic (CC BY 4.0). Attribution appreciated. *** #### Keywords AIS, vessel tracking, ship tracking, maritime, marine traffic, vessel positions, MMSI, IMO, ship intelligence, Baltic Sea, port calls, shipping data, maritime logistics, supply chain, vessel finder, cargo ships, tankers, Digitraffic, marine data, fleet tracking. # Actor input Schema ## `mode` (type: `string`): positions = live vessels with identity; port-calls = recent port call schedule. ## `mmsiList` (type: `array`): Track specific vessels by MMSI, e.g. \["230099950"]. Leave empty for all currently-tracked vessels. ## `shipTypeCategories` (type: `array`): Filter by vessel category. Leave empty for all. ## `movingOnly` (type: `boolean`): Only vessels currently under way (speed > 0.5 knots). ## `minLat` (type: `integer`): South edge of an optional bounding box. ## `maxLat` (type: `integer`): North edge of the bounding box. ## `minLon` (type: `integer`): West edge of the bounding box. ## `maxLon` (type: `integer`): East edge of the bounding box. ## `maxResults` (type: `integer`): Maximum number of records to return. ## Actor input object example ```json { "mode": "positions", "shipTypeCategories": [], "movingOnly": false, "maxResults": 50000 } ``` # 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("straightforward_hydra/maritime-vessel-intelligence").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("straightforward_hydra/maritime-vessel-intelligence").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 straightforward_hydra/maritime-vessel-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=straightforward_hydra/maritime-vessel-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Maritime Vessel Intelligence (AIS)", "description": "Live AIS vessel tracking + ship intelligence for the Baltic Sea / Northern Europe. No key.", "version": "0.1", "x-build-id": "S8rczQOJtIMHgHdC4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/straightforward_hydra~maritime-vessel-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-straightforward_hydra-maritime-vessel-intelligence", "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/straightforward_hydra~maritime-vessel-intelligence/runs": { "post": { "operationId": "runs-sync-straightforward_hydra-maritime-vessel-intelligence", "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/straightforward_hydra~maritime-vessel-intelligence/run-sync": { "post": { "operationId": "run-sync-straightforward_hydra-maritime-vessel-intelligence", "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": [ "positions", "port-calls" ], "type": "string", "description": "positions = live vessels with identity; port-calls = recent port call schedule.", "default": "positions" }, "mmsiList": { "title": "MMSI list", "type": "array", "description": "Track specific vessels by MMSI, e.g. [\"230099950\"]. Leave empty for all currently-tracked vessels.", "items": { "type": "string" } }, "shipTypeCategories": { "title": "Ship type categories", "type": "array", "description": "Filter by vessel category. Leave empty for all.", "items": { "type": "string", "enum": [ "Cargo", "Tanker", "Passenger", "Fishing", "Tug/Towing", "Sailing", "Pleasure craft", "High-speed craft", "Pilot", "Search and rescue", "Military", "Special craft", "Other" ] }, "default": [] }, "movingOnly": { "title": "Moving vessels only", "type": "boolean", "description": "Only vessels currently under way (speed > 0.5 knots).", "default": false }, "minLat": { "title": "Min latitude (bounding box)", "type": "integer", "description": "South edge of an optional bounding box." }, "maxLat": { "title": "Max latitude", "type": "integer", "description": "North edge of the bounding box." }, "minLon": { "title": "Min longitude", "type": "integer", "description": "West edge of the bounding box." }, "maxLon": { "title": "Max longitude", "type": "integer", "description": "East edge of the bounding box." }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 200000, "type": "integer", "description": "Maximum number of records to return.", "default": 50000 } } }, "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 } } } } } } } } } } ```