# NOAA Climate Data — Weather Station Observations (`commonelements/noaa-weather-data`) Actor Download historical weather observations from NOAA Climate Data Online. Get daily or monthly temperature, precipitation, and snowfall from 100,000+ stations. Filter by station, location, and date. Requires a free NOAA CDO API token. - **URL**: https://apify.com/commonelements/noaa-weather-data.md - **Developed by:** [Harry Schoeller](https://apify.com/commonelements) (community) - **Categories:** Developer tools - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $1.00 / 1,000 dataset item 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 ## NOAA Climate Data — Weather Station Observations Download historical weather observations from NOAA Climate Data Online (CDO). Covers 100,000+ weather stations worldwide with records going back 150+ years. ### Getting your free API token Register at [ncdc.noaa.gov/cdo-web/token](https://www.ncdc.noaa.gov/cdo-web/token) — the token is delivered instantly by email. ### Example input — Florida daily weather in 2023 ```json { "mode": "data", "apiToken": "YOUR_TOKEN_HERE", "dataset": "GHCND", "locationId": "FIPS:12", "startDate": "2023-01-01", "endDate": "2023-12-31", "dataTypes": ["TMAX", "TMIN", "PRCP"], "maxRecords": 5000 } ```` ### Find stations first ```json { "mode": "stations", "apiToken": "YOUR_TOKEN_HERE", "dataset": "GHCND", "locationId": "FIPS:12" } ``` ### Example output record ```json { "date": "2023-07-15T00:00:00", "stationId": "GHCND:USW00012839", "dataType": "TMAX", "value": 344, "attributes": ",,W,2400", "fetchedAt": "2025-01-01T00:00:00.000Z" } ``` Note: GHCND values are in tenths of degrees Celsius (344 = 34.4°C) or tenths of mm for precipitation. ### Datasets | ID | Description | Resolution | |---|---|---| | GHCND | Global Historical Climatology Network | Daily | | GSOM | Global Summary of the Month | Monthly | | GSOY | Global Summary of the Year | Annual | | NORMAL\_DLY | 30-year Climate Normals | Daily averages | ### Data types `TMAX` (max temp), `TMIN` (min temp), `TAVG` (avg temp), `PRCP` (precipitation), `SNOW` (snowfall), `AWND` (avg wind speed) ### Use cases - Climate and weather trend analysis - Agricultural planning and crop modeling - Insurance weather event verification - Real estate and construction planning - Academic climate research # Actor input Schema ## `mode` (type: `string`): Choose 'data' to fetch weather observations, or 'stations' to search for available weather stations. ## `apiToken` (type: `string`): Required. Get a free token in seconds at https://www.ncdc.noaa.gov/cdo-web/token ## `dataset` (type: `string`): Which NOAA dataset to query. GHCND = Global Historical Climatology Network Daily (daily summaries). GSOM = Global Summary of the Month. GSOY = Global Summary of the Year. ## `stationId` (type: `string`): Comma-separated NOAA station IDs to filter by. Example: GHCND:USW00094728 (New York City Central Park). Find station IDs using mode='stations' first. ## `locationId` (type: `string`): Geographic location filter. Use FIPS:NN for a US state (e.g. FIPS:12 = Florida, FIPS:06 = California), or CITY:XXXXXXXX for a city. Run mode='stations' first to find valid IDs. ## `startDate` (type: `string`): Start of the date range (YYYY-MM-DD). Required for mode='data'. ## `endDate` (type: `string`): End of the date range (YYYY-MM-DD). Required for mode='data'. Maximum range varies by dataset (1 year for GHCND, 10 years for GSOM/GSOY). ## `dataTypes` (type: `array`): Weather variables to retrieve. TMAX/TMIN/TAVG = temperature, PRCP = precipitation, SNOW = snowfall, SNWD = snow depth, AWND = average wind speed. Leave empty for all available types. ## `units` (type: `string`): Unit system for returned values. Metric = Celsius / mm. Standard = Fahrenheit / inches. ## `maxRecords` (type: `integer`): Maximum number of records to return across all pages. Set to 0 for unlimited (fetches all available data). ## Actor input object example ```json { "mode": "data", "dataset": "GHCND", "stationId": "GHCND:USW00094728", "locationId": "FIPS:12", "startDate": "2024-01-01", "endDate": "2024-01-31", "dataTypes": [ "TMAX", "TMIN", "PRCP" ], "units": "metric", "maxRecords": 1000 } ``` # Actor output Schema ## `results` (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 = { "dataTypes": [ "TMAX", "TMIN", "PRCP" ] }; // Run the Actor and wait for it to finish const run = await client.actor("commonelements/noaa-weather-data").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 = { "dataTypes": [ "TMAX", "TMIN", "PRCP", ] } # Run the Actor and wait for it to finish run = client.actor("commonelements/noaa-weather-data").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 '{ "dataTypes": [ "TMAX", "TMIN", "PRCP" ] }' | apify call commonelements/noaa-weather-data --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=commonelements/noaa-weather-data", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NOAA Climate Data — Weather Station Observations", "description": "Download historical weather observations from NOAA Climate Data Online. Get daily or monthly temperature, precipitation, and snowfall from 100,000+ stations. Filter by station, location, and date. Requires a free NOAA CDO API token.", "version": "0.1", "x-build-id": "pDnJg44BErLm41G2q" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/commonelements~noaa-weather-data/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-commonelements-noaa-weather-data", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/commonelements~noaa-weather-data/runs": { "post": { "operationId": "runs-sync-commonelements-noaa-weather-data", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/commonelements~noaa-weather-data/run-sync": { "post": { "operationId": "run-sync-commonelements-noaa-weather-data", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "apiToken" ], "properties": { "mode": { "title": "Mode", "enum": [ "data", "stations" ], "type": "string", "description": "Choose 'data' to fetch weather observations, or 'stations' to search for available weather stations.", "default": "data" }, "apiToken": { "title": "NOAA CDO API Token", "type": "string", "description": "Required. Get a free token in seconds at https://www.ncdc.noaa.gov/cdo-web/token" }, "dataset": { "title": "Dataset", "enum": [ "GHCND", "GSOM", "GSOY" ], "type": "string", "description": "Which NOAA dataset to query. GHCND = Global Historical Climatology Network Daily (daily summaries). GSOM = Global Summary of the Month. GSOY = Global Summary of the Year.", "default": "GHCND" }, "stationId": { "title": "Station ID(s)", "type": "string", "description": "Comma-separated NOAA station IDs to filter by. Example: GHCND:USW00094728 (New York City Central Park). Find station IDs using mode='stations' first." }, "locationId": { "title": "Location ID", "type": "string", "description": "Geographic location filter. Use FIPS:NN for a US state (e.g. FIPS:12 = Florida, FIPS:06 = California), or CITY:XXXXXXXX for a city. Run mode='stations' first to find valid IDs." }, "startDate": { "title": "Start Date", "type": "string", "description": "Start of the date range (YYYY-MM-DD). Required for mode='data'." }, "endDate": { "title": "End Date", "type": "string", "description": "End of the date range (YYYY-MM-DD). Required for mode='data'. Maximum range varies by dataset (1 year for GHCND, 10 years for GSOM/GSOY)." }, "dataTypes": { "title": "Data Types", "type": "array", "description": "Weather variables to retrieve. TMAX/TMIN/TAVG = temperature, PRCP = precipitation, SNOW = snowfall, SNWD = snow depth, AWND = average wind speed. Leave empty for all available types.", "items": { "type": "string" } }, "units": { "title": "Units", "enum": [ "metric", "standard" ], "type": "string", "description": "Unit system for returned values. Metric = Celsius / mm. Standard = Fahrenheit / inches.", "default": "metric" }, "maxRecords": { "title": "Max Records", "minimum": 0, "type": "integer", "description": "Maximum number of records to return across all pages. Set to 0 for unlimited (fetches all available data).", "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 } } } } } } } } } } ```