# Noaa Tides Currents Scraper (`compute-edge/noaa-tides-currents-scraper`) Actor Scraper for noaa-tides-currents-scraper - **URL**: https://apify.com/compute-edge/noaa-tides-currents-scraper.md - **Developed by:** [Compute Edge](https://apify.com/compute-edge) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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.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 ## NOAA Tides & Currents Scraper Extract station metadata and live observations from the **NOAA Tides & Currents** service — water levels, predictions, currents, weather, and ~3,400 stations across US coastal waters, the Great Lakes, and territories. ### What this Actor does This scraper wraps two NOAA endpoints: - **Stations metadata API** (`mdapi.tidesandcurrents.noaa.gov/webapi/stations.json`) — discover stations by type (`tidepredictions`, `waterlevels`, `currentpredictions`, `historicwaterlevels`) and filter by state. - **Datagetter observations API** (`api.tidesandcurrents.noaa.gov/api/prod/datagetter`) — pull live or recent readings (water level, predictions, currents, wind, air temperature, pressure) for any station ID. No API key, no auth, no proxies. ### Fields returned **Stations mode** | Field | Description | |-------|-------------| | stationId | NOAA station ID | | name | Station name | | state | Two-letter state/territory | | latitude / longitude | Coordinates | | type | Station type | | timezone | Local timezone | | reference_id | Reference station ID | | portscode | PORTS code if applicable | **Observations mode** — adds `timestamp`, `value`, `sigma`, `flags`, `type` (H/L for tide hi/lo), and `quality`. ### How to use 1. **List stations in California:** set `stateFilter=CA`, leave other fields default. Returns all tide prediction stations in CA. 2. **Get live water level at The Battery, NY:** set `mode=observations`, `stationIds=["8518750"]`, `product=water_level`, `date=latest`. 3. **Get today's high/low tide predictions for San Francisco:** set `mode=observations`, `stationIds=["9414290"]`, `product=predictions`, `date=today`. ### Pricing $0.003 per result. You pay only for output records. Apify compute also applies. ### Who uses this Coastal engineers, marine logistics, insurance claims teams (flood verification), real estate due diligence, fishing & charter operators, oceanographic researchers. ### Output formats JSON, CSV, Excel, HTML — plus an LLM-ready Markdown export for RAG pipelines. ### Legal NOAA tides data is in the **public domain**. This actor only retrieves publicly available data. Respect NOAA's terms of use and rate limits. See [Tides & Currents — Web Services](https://tidesandcurrents.noaa.gov/web_services_info.html). ### Support Open an issue on the Apify Store listing or contact the maintainer. # Actor input Schema ## `mode` (type: `string`): 'stations' = list station metadata; 'observations' = fetch live readings for specific station IDs. ## `stationType` (type: `string`): Station type for stations mode. Common values: 'tidepredictions', 'waterlevels', 'currentpredictions', 'historicwaterlevels'. ## `stateFilter` (type: `string`): Two-letter US state/territory code (e.g. 'CA', 'FL', 'NY'). Empty = no filter. ## `stationIds` (type: `array`): Station IDs to fetch observations for (e.g. ['8454000','9447130']). Required for 'observations' mode. ## `product` (type: `string`): Datagetter product (e.g. 'water_level', 'predictions', 'currents', 'air_temperature', 'wind'). ## `date` (type: `string`): Date param: 'latest', 'today', 'recent', or YYYYMMDD range via begin_date/end_date not supported here; use 'today'. ## `datum` (type: `string`): Vertical datum (MLLW, MSL, NAVD, STND). ## `units` (type: `string`): 'english' or 'metric'. ## `maxResults` (type: `integer`): Maximum records to return. 0 = unlimited. ## Actor input object example ```json { "mode": "stations", "stationType": "tidepredictions", "stateFilter": "", "stationIds": [], "product": "water_level", "date": "latest", "datum": "MLLW", "units": "english", "maxResults": 1000 } ```` # Actor output Schema ## `dataset` (type: `string`): No description # 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("compute-edge/noaa-tides-currents-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 = {} # Run the Actor and wait for it to finish run = client.actor("compute-edge/noaa-tides-currents-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 '{}' | apify call compute-edge/noaa-tides-currents-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=compute-edge/noaa-tides-currents-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Noaa Tides Currents Scraper", "description": "Scraper for noaa-tides-currents-scraper", "version": "0.1", "x-build-id": "BHhhuDyhhii7Qqn9d" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/compute-edge~noaa-tides-currents-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-compute-edge-noaa-tides-currents-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/compute-edge~noaa-tides-currents-scraper/runs": { "post": { "operationId": "runs-sync-compute-edge-noaa-tides-currents-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/compute-edge~noaa-tides-currents-scraper/run-sync": { "post": { "operationId": "run-sync-compute-edge-noaa-tides-currents-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "stations", "observations" ], "type": "string", "description": "'stations' = list station metadata; 'observations' = fetch live readings for specific station IDs.", "default": "stations" }, "stationType": { "title": "Station Type", "type": "string", "description": "Station type for stations mode. Common values: 'tidepredictions', 'waterlevels', 'currentpredictions', 'historicwaterlevels'.", "default": "tidepredictions" }, "stateFilter": { "title": "State Filter", "type": "string", "description": "Two-letter US state/territory code (e.g. 'CA', 'FL', 'NY'). Empty = no filter.", "default": "" }, "stationIds": { "title": "Station IDs", "type": "array", "description": "Station IDs to fetch observations for (e.g. ['8454000','9447130']). Required for 'observations' mode.", "default": [], "items": { "type": "string" } }, "product": { "title": "Product", "type": "string", "description": "Datagetter product (e.g. 'water_level', 'predictions', 'currents', 'air_temperature', 'wind').", "default": "water_level" }, "date": { "title": "Date / Range", "type": "string", "description": "Date param: 'latest', 'today', 'recent', or YYYYMMDD range via begin_date/end_date not supported here; use 'today'.", "default": "latest" }, "datum": { "title": "Datum", "type": "string", "description": "Vertical datum (MLLW, MSL, NAVD, STND).", "default": "MLLW" }, "units": { "title": "Units", "type": "string", "description": "'english' or 'metric'.", "default": "english" }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 100000, "type": "integer", "description": "Maximum records to return. 0 = unlimited.", "default": 1000 } } }, "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 } } } } } } } } } } ```