# Marine Weather Forecast — Waves & Swell (`ponderable_hydrometer/marine-weather-scraper`) Actor Marine forecasts — wave height, period, direction, swell & ocean currents — by coast name or coordinates. Free keyless API. For sailing, surfing, fishing & boating. - **URL**: https://apify.com/ponderable\_hydrometer/marine-weather-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 $1.00 / 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 ## Marine Weather Forecast — Waves & Swell **Marine forecasts for any coastal point — just give a place name and the actor geocodes it for you.** Wave height, period and direction, wind waves, swell and ocean currents, daily and hourly, up to 16 days out, metric or imperial. Powered by Open-Meteo. Keyless. Perfect for sailing, surfing, offshore fishing, boating and marine planning apps. ### What you get One result per location: - **Place** — `location`, `country`, `admin1`, `latitude`, `longitude`, `timezone` - **Units** — `dailyUnits`, `hourlyUnits` (so you know what each number means) - **`daily`** — array of day rows. Default fields: `wave_height_max`, `wave_direction_dominant`, `wave_period_max`, `wind_wave_height_max`, `swell_wave_height_max`, `swell_wave_period_max` - **`hourly`** — array of hour rows (only when you request `hourly` variables), e.g. `wave_height`, `wave_period`, `wave_direction`, `swell_wave_height`, `ocean_current_velocity`, `ocean_current_direction` Each series is a tidy array of `{ time, : value, … }` rows — ready to chart or join. ### Modes - **By place name** — pass `locations` (coastal names); the actor auto-geocodes each. Non-marine points are skipped with a warning. - **By coordinates** — pass `coordinates` as `"lat,lon"` pairs over water. Combine both. Pick your own `daily` / `hourly` variables, or use the sensible defaults. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `locations` | array | — | Coastal place names, auto-geocoded | | `coordinates` | array | — | `"lat,lon"` pairs over water | | `daily` | array | (6 wave/swell fields) | Daily marine variables | | `hourly` | array | — | Optional hourly variables | | `forecastDays` | integer | `7` | 1–16 | | `pastDays` | integer | `0` | Include this many past days (0–92) | | `lengthUnit` | string | `metric` | `metric` (m) or `imperial` (ft) | | `timezone` | string | `auto` | IANA timezone or `auto` | Provide at least one of `locations` or `coordinates`. ### Example input ```json { "locations": ["Kiel", "San Diego", "Palma de Mallorca"], "forecastDays": 7 } ```` Hourly waves + currents: ```json { "coordinates": ["54.32,10.13"], "hourly": ["wave_height", "swell_wave_height", "ocean_current_velocity"], "forecastDays": 3 } ``` ### Example output (one location, trimmed) ```json { "location": "Kiel", "country": "Germany", "admin1": "Schleswig-Holstein", "latitude": 54.32133, "longitude": 10.13489, "timezone": "Europe/Berlin", "dailyUnits": { "time": "iso8601", "wave_height_max": "m", "wave_period_max": "s" }, "hourlyUnits": null, "daily": [ { "time": "2026-07-12", "wave_height_max": 0.42, "wave_direction_dominant": 47, "wave_period_max": 3.15, "wind_wave_height_max": 0.4, "swell_wave_height_max": 0.12, "swell_wave_period_max": 5.7 } ], "hourly": [] } ``` ### Why this actor - **Names, not just coordinates** — built-in geocoding means plain coast names work out of the box. - **Waves + swell + currents** — daily and hourly, in one call, with unit metadata. - **Complements land weather and tides** — distinct dataset, pairs cleanly with both. - **Keyless & reliable** — public Open-Meteo Marine API with retry/backoff. ### Notes - Locations must be at/near the sea; inland points return no marine data and are skipped with a warning. - Data is from Open-Meteo's Marine API; this actor is independent and not affiliated with Open-Meteo. ### Pricing Pay per result — **$1.00 per 1,000 results**. No subscription or platform fees; you only pay for the results you get. ### Related actors - **NOAA Tides & Currents** — tide and current predictions (US stations). - **Open-Meteo Weather Scraper** — land weather by place or coordinates. - **Ham Radio Scraper** — callsigns, POTA & SOTA for field operators. # Actor input Schema ## `locations` (type: `array`): Coastal place names to geocode, e.g. \["Kiel","San Diego","Palma de Mallorca"]. Must be at/near the sea. ## `coordinates` (type: `array`): Explicit "latitude,longitude" pairs over water, e.g. \["54.32,10.13"]. ## `daily` (type: `array`): Daily marine fields. Empty = default (wave height/direction/period max, wind-wave & swell max). Examples: wave\_height\_max, swell\_wave\_period\_max. ## `hourly` (type: `array`): Optional hourly fields, e.g. wave\_height, wave\_period, wave\_direction, swell\_wave\_height, ocean\_current\_velocity, ocean\_current\_direction. ## `forecastDays` (type: `integer`): Number of forecast days (1-16). ## `pastDays` (type: `integer`): Include this many past days as well (0-92). ## `lengthUnit` (type: `string`): metric (meters) or imperial (feet) for wave heights. ## `timezone` (type: `string`): IANA timezone or "auto". ## Actor input object example ```json { "locations": [ "Kiel" ], "forecastDays": 7, "pastDays": 0, "lengthUnit": "metric", "timezone": "auto" } ``` # 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 = { "locations": [ "Kiel" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ponderable_hydrometer/marine-weather-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 = { "locations": ["Kiel"] } # Run the Actor and wait for it to finish run = client.actor("ponderable_hydrometer/marine-weather-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 '{ "locations": [ "Kiel" ] }' | apify call ponderable_hydrometer/marine-weather-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ponderable_hydrometer/marine-weather-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Marine Weather Forecast — Waves & Swell", "description": "Marine forecasts — wave height, period, direction, swell & ocean currents — by coast name or coordinates. Free keyless API. For sailing, surfing, fishing & boating.", "version": "0.1", "x-build-id": "hTak55KoajGCBgUst" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ponderable_hydrometer~marine-weather-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ponderable_hydrometer-marine-weather-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~marine-weather-scraper/runs": { "post": { "operationId": "runs-sync-ponderable_hydrometer-marine-weather-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~marine-weather-scraper/run-sync": { "post": { "operationId": "run-sync-ponderable_hydrometer-marine-weather-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": { "locations": { "title": "Locations (coastal place names)", "type": "array", "description": "Coastal place names to geocode, e.g. [\"Kiel\",\"San Diego\",\"Palma de Mallorca\"]. Must be at/near the sea.", "items": { "type": "string" } }, "coordinates": { "title": "Coordinates (lat,lon)", "type": "array", "description": "Explicit \"latitude,longitude\" pairs over water, e.g. [\"54.32,10.13\"].", "items": { "type": "string" } }, "daily": { "title": "Daily variables", "type": "array", "description": "Daily marine fields. Empty = default (wave height/direction/period max, wind-wave & swell max). Examples: wave_height_max, swell_wave_period_max.", "items": { "type": "string" } }, "hourly": { "title": "Hourly variables", "type": "array", "description": "Optional hourly fields, e.g. wave_height, wave_period, wave_direction, swell_wave_height, ocean_current_velocity, ocean_current_direction.", "items": { "type": "string" } }, "forecastDays": { "title": "Forecast days", "minimum": 1, "maximum": 16, "type": "integer", "description": "Number of forecast days (1-16).", "default": 7 }, "pastDays": { "title": "Past days", "minimum": 0, "maximum": 92, "type": "integer", "description": "Include this many past days as well (0-92).", "default": 0 }, "lengthUnit": { "title": "Length unit", "enum": [ "metric", "imperial" ], "type": "string", "description": "metric (meters) or imperial (feet) for wave heights.", "default": "metric" }, "timezone": { "title": "Timezone", "type": "string", "description": "IANA timezone or \"auto\".", "default": "auto" } } }, "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 } } } } } } } } } } ```