# NOAA Tides & Currents — Tide Predictions (`ponderable_hydrometer/noaa-tides-scraper`) Actor Tide predictions (high/low), water levels & currents from NOAA stations — plus water temp & wind. Free keyless API. For fishing, sailing, boating & marine apps. - **URL**: https://apify.com/ponderable\_hydrometer/noaa-tides-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 $1.50 / 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 ## NOAA Tides & Currents — Tide Predictions Scraper **Official NOAA tide predictions, water levels and tidal currents for any US coastal station — plus water/air temperature, wind and pressure — with station metadata baked in.** By station ID, for any date range. Free, keyless, no proxies. Built directly on NOAA's official **CO-OPS** data API, so the tide data is authoritative and reliable — the actor adds multi-station batching, product switching and station-info enrichment on top. ### What you get One flat row per reading, ready for datasets, APIs or apps: - **Tide predictions** — high/low (`hilo`) or hourly water-level predictions with `time`, `value` and `type` (`high`/`low`) - **Observed water level** — measured water level with `sigma`, quality `flags` and `quality` code - **Tidal currents** — predicted current `velocity`, `type`, `bin`, `depth`, mean flood/ebb direction - **Environmental products** — water temperature, air temperature, wind (with `direction`, `gust`) and air pressure - **Station enrichment** (optional) — `stationName`, `state`, `latitude`, `longitude` on every row - Configurable `datum` (MLLW/MSL/NAVD…), `units` (english/metric) and `timeZone` ### Output sample Tide predictions (`product: "predictions"`, `interval: "hilo"`), station info included: ```json { "station": "8454000", "product": "predictions", "stationName": "Providence", "state": "RI", "latitude": 41.8071, "longitude": -71.4012, "time": "2026-07-12 04:18", "value": 4.63, "type": "high" } ```` Tidal currents (`product: "currents_predictions"`): ```json { "station": "ACT0926", "product": "currents_predictions", "time": "2026-07-12 05:30", "velocity": 1.42, "type": "flood", "bin": null, "depth": null, "meanFloodDir": 45, "meanEbbDir": 225 } ``` ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `stations` | array | `["8454000"]` | NOAA CO-OPS station IDs. Find them at tidesandcurrents.noaa.gov | | `product` | string | `predictions` | `predictions`, `water_level`, `currents_predictions`, `water_temperature`, `air_temperature`, `wind`, `air_pressure` | | `interval` | string | `hilo` | Predictions: `hilo`, `h`, `6`, `1`. Currents: `MAX_SLACK` | | `datum` | string | `MLLW` | Vertical datum for levels/predictions | | `date` | string | `today` | Quick range: `today`, `latest`, `recent` (ignored if explicit dates set) | | `beginDate` / `endDate` | string | — | Explicit `YYYYMMDD` range | | `range` | string | — | Hours from begin date (or from now) | | `units` | string | `english` | `english` (feet) or `metric` (meters) | | `timeZone` | string | `lst_ldt` | `lst_ldt`, `lst` or `gmt` | | `includeStationInfo` | boolean | `true` | Enrich rows with station name/state/coordinates | ### Example input ```json { "stations": ["8454000", "9414290"], "product": "predictions", "interval": "hilo", "beginDate": "20260712", "range": "72" } ``` ### Why this actor - **Authoritative & keyless** — NOAA's own CO-OPS API, no key, no proxy, no anti-bot. - **Two paying audiences at once** — fishing and sailing/boating apps both need clean tide data. - **Breadth in one actor** — predictions, water level, currents, temperature, wind and pressure, multi-station, any date range. - **Enriched** — station name, state and coordinates joined onto every row so you don't re-look-up. ### Pricing Pay per result — **$1.50 per 1,000 results** (one reading = one result). No subscription or platform fees; you only pay for what you get. ### Related actors - **Marine Weather Forecast Scraper** — waves, swell and marine conditions for sailing. - **USGS Water Data Scraper** — river streamflow, gage height and water temperature for freshwater fishing. - **Open-Meteo Weather Forecast Scraper** — general forecasts by city or coordinates. ### Notes - Data is NOAA's official public CO-OPS API; the actor sets a descriptive User-Agent and retries on 429/5xx so results aren't dropped. - Available products, datums and intervals vary by station — not every station reports every product. - This actor is an independent tool and is not affiliated with or endorsed by NOAA. # Actor input Schema ## `stations` (type: `array`): NOAA CO-OPS station IDs, e.g. \["8454000" (Providence RI), "9414290" (San Francisco)]. Find IDs at tidesandcurrents.noaa.gov. ## `product` (type: `string`): Data product to fetch. ## `interval` (type: `string`): For tide predictions: "hilo" (high/low only), "h" (hourly), "6"/"1" (minutes). For currents: "MAX\_SLACK". ## `datum` (type: `string`): Vertical datum for water levels/predictions, e.g. MLLW, MSL, NAVD. ## `date` (type: `string`): Quick range: "today", "latest" or "recent". Ignored if you set explicit dates below. ## `beginDate` (type: `string`): Explicit start date, e.g. "20260712". Use with End date or Range. ## `endDate` (type: `string`): Explicit end date, e.g. "20260715". ## `range` (type: `string`): Number of hours from begin date (or from now if no begin date), e.g. "48". ## `units` (type: `string`): english (feet) or metric (meters). ## `timeZone` (type: `string`): lst\_ldt (local w/ DST), lst (local standard) or gmt. ## `includeStationInfo` (type: `boolean`): Enrich each row with the station's name, state and coordinates. ## Actor input object example ```json { "stations": [ "8454000" ], "product": "predictions", "interval": "hilo", "datum": "MLLW", "date": "today", "units": "english", "timeZone": "lst_ldt", "includeStationInfo": true } ``` # 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 = { "stations": [ "8454000" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ponderable_hydrometer/noaa-tides-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 = { "stations": ["8454000"] } # Run the Actor and wait for it to finish run = client.actor("ponderable_hydrometer/noaa-tides-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 '{ "stations": [ "8454000" ] }' | apify call ponderable_hydrometer/noaa-tides-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ponderable_hydrometer/noaa-tides-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NOAA Tides & Currents — Tide Predictions", "description": "Tide predictions (high/low), water levels & currents from NOAA stations — plus water temp & wind. Free keyless API. For fishing, sailing, boating & marine apps.", "version": "0.1", "x-build-id": "952hipIylvTDSNB9A" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ponderable_hydrometer~noaa-tides-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ponderable_hydrometer-noaa-tides-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~noaa-tides-scraper/runs": { "post": { "operationId": "runs-sync-ponderable_hydrometer-noaa-tides-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~noaa-tides-scraper/run-sync": { "post": { "operationId": "run-sync-ponderable_hydrometer-noaa-tides-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": { "stations": { "title": "Station IDs", "type": "array", "description": "NOAA CO-OPS station IDs, e.g. [\"8454000\" (Providence RI), \"9414290\" (San Francisco)]. Find IDs at tidesandcurrents.noaa.gov.", "items": { "type": "string" } }, "product": { "title": "Product", "enum": [ "predictions", "water_level", "currents_predictions", "water_temperature", "air_temperature", "wind", "air_pressure" ], "type": "string", "description": "Data product to fetch.", "default": "predictions" }, "interval": { "title": "Interval", "type": "string", "description": "For tide predictions: \"hilo\" (high/low only), \"h\" (hourly), \"6\"/\"1\" (minutes). For currents: \"MAX_SLACK\".", "default": "hilo" }, "datum": { "title": "Datum", "type": "string", "description": "Vertical datum for water levels/predictions, e.g. MLLW, MSL, NAVD.", "default": "MLLW" }, "date": { "title": "Date keyword", "type": "string", "description": "Quick range: \"today\", \"latest\" or \"recent\". Ignored if you set explicit dates below.", "default": "today" }, "beginDate": { "title": "Begin date (YYYYMMDD)", "type": "string", "description": "Explicit start date, e.g. \"20260712\". Use with End date or Range." }, "endDate": { "title": "End date (YYYYMMDD)", "type": "string", "description": "Explicit end date, e.g. \"20260715\"." }, "range": { "title": "Range (hours)", "type": "string", "description": "Number of hours from begin date (or from now if no begin date), e.g. \"48\"." }, "units": { "title": "Units", "enum": [ "english", "metric" ], "type": "string", "description": "english (feet) or metric (meters).", "default": "english" }, "timeZone": { "title": "Time zone", "enum": [ "lst_ldt", "lst", "gmt" ], "type": "string", "description": "lst_ldt (local w/ DST), lst (local standard) or gmt.", "default": "lst_ldt" }, "includeStationInfo": { "title": "Include station info", "type": "boolean", "description": "Enrich each row with the station's name, state and coordinates.", "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 } } } } } } } } } } ```