# NWS Weather Alerts & Point Forecast Scraper (`jungle_synthesizer/nws-weather-alerts-point-forecast-scraper`) Actor Fetch active NWS weather alerts and multi-day forecasts for a list of coordinates (trailheads, campgrounds, peaks). Supply lat/lon pairs and get per-point active alerts plus 7-day forecast in one pass. Purpose-built for outdoor trip planning and trail-condition workflows. No API key required. - **URL**: https://apify.com/jungle\_synthesizer/nws-weather-alerts-point-forecast-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## NWS Weather Alerts & Point Forecast Scraper Fetch active National Weather Service (NWS) weather alerts and multi-day point forecasts for any list of coordinates. Supply a list of lat/lon pairs (trailheads, campgrounds, peaks, campsites, or any geographic point) and get back per-point active alerts plus a 7-day forecast in a single run. No API key required — the actor uses the public `api.weather.gov` REST API with a polite request rate. --- ### What it does For each coordinate you provide, the actor: 1. **Fetches active alerts** (via `/alerts/active?point=lat,lon`) — returns any currently active NWS weather alerts (Severe Thunderstorm Warning, Winter Storm Warning, Flood Watch, Red Flag Warning, etc.) that cover that location. 2. **Fetches the 7-day point forecast** (two-hop: `/points/lat,lon` → `/gridpoints/{office}/{x},{y}/forecast`) — returns the NWS forecast for the nearest grid cell, broken into morning/afternoon/overnight periods. Each output record carries a `record_type` field (`alert` or `point_forecast`) so you can filter downstream. --- ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `coordinates` | array | yes | List of `{ lat, lon, label }` objects. `label` is optional (e.g. trail name). | | `includeAlerts` | boolean | no | Fetch active alerts for each point. Default: `true`. | | `includeForecast` | boolean | no | Fetch 7-day forecast for each point. Default: `true`. | | `maxItems` | integer | no | Maximum total records to return. Default: `100`. | #### Example input ```json { "coordinates": [ { "lat": 44.2706, "lon": -71.3033, "label": "Mt Washington Summit" }, { "lat": 44.5236, "lon": -71.1762, "label": "Pinkham Notch" }, { "lat": 43.9342, "lon": -71.6476, "label": "Lonesome Lake Hut" } ], "includeAlerts": true, "includeForecast": true, "maxItems": 100 } ```` *** ### Output Each record in the dataset has the following fields: | Field | Type | Description | |-------|------|-------------| | `record_type` | string | `"alert"` or `"point_forecast"` | | `latitude` | number | Queried latitude | | `longitude` | number | Queried longitude | | `label` | string | Your supplied label for this coordinate | | `event` | string | Alert event type (e.g. `"Winter Storm Warning"`) — alerts only | | `severity` | string | Severity: Extreme, Severe, Moderate, Minor, Unknown — alerts only | | `certainty` | string | Certainty: Observed, Likely, Possible, Unlikely, Unknown — alerts only | | `urgency` | string | Urgency: Immediate, Expected, Future, Past, Unknown — alerts only | | `area_desc` | string | Affected geographic area description — alerts only | | `effective` | string | ISO 8601 start datetime | | `expires` | string | ISO 8601 end datetime | | `headline` | string | Alert headline — alerts only | | `description` | string | Full alert or forecast period text | | `instruction` | string | Safety instructions — alerts only | | `forecast_period` | string | Period name, e.g. `"Tonight"`, `"Tuesday"` — forecasts only | | `temperature` | number | Forecast temperature in degrees Fahrenheit — forecasts only | | `wind_speed` | string | Forecast wind speed, e.g. `"15 mph"` — forecasts only | | `short_forecast` | string | Brief summary, e.g. `"Partly Cloudy"` — forecasts only | | `detailed_forecast` | string | Full forecast narrative — forecasts only | #### Example alert record ```json { "record_type": "alert", "latitude": 44.2706, "longitude": -71.3033, "label": "Mt Washington Summit", "event": "Wind Advisory", "severity": "Moderate", "certainty": "Likely", "urgency": "Expected", "area_desc": "Northern White Mountains; White Mountains", "effective": "2026-05-29T06:00:00-04:00", "expires": "2026-05-29T18:00:00-04:00", "headline": "Wind Advisory issued May 29 at 6:00AM EDT until May 29 at 6:00PM EDT", "description": "Southwest winds 25 to 35 mph with gusts up to 50 mph.", "instruction": "Use extra caution when driving, especially in high-profile vehicles.", "forecast_period": "", "temperature": null, "wind_speed": "", "short_forecast": "", "detailed_forecast": "" } ``` #### Example forecast record ```json { "record_type": "point_forecast", "latitude": 44.2706, "longitude": -71.3033, "label": "Mt Washington Summit", "event": "", "severity": "", "forecast_period": "Tonight", "effective": "2026-05-29T18:00:00-04:00", "expires": "2026-05-30T06:00:00-04:00", "temperature": 34, "wind_speed": "35 to 45 mph", "short_forecast": "Mostly Cloudy", "detailed_forecast": "Mostly cloudy, with a low around 34. Southwest wind 35 to 45 mph, with gusts as high as 65 mph.", "description": "Mostly cloudy, with a low around 34. Southwest wind 35 to 45 mph, with gusts as high as 65 mph.", "headline": "", "instruction": "", "alert_id": "", "area_desc": "", "certainty": "", "urgency": "" } ``` *** ### Coverage notes - **Continental US only.** The NWS API (`api.weather.gov`) covers the contiguous United States, Alaska, Hawaii, and some US territories. Coordinates outside NWS coverage (ocean, international) return no data and are skipped with a warning. - **Alerts**: Returns only currently active alerts at the time of the run. Historical alerts are not available via this endpoint. - **Forecast**: 7-day forecast, typically 14 periods (7 daytime + 7 overnight). ### Use cases - **Trail condition monitoring** — batch-check active weather alerts and forecasts for a list of trailheads before a trip. - **Outdoor trip planning automation** — pair with NPS Park Data Scraper or Recreation.gov data to enrich venue records with live weather context. - **Campground weather briefings** — generate per-campsite weather summaries from a coordinate list. - **Alert dashboards** — monitor which locations in a portfolio currently have active weather alerts. ### Rate limiting The NWS API has no published hard rate limit but requests a polite `User-Agent` header (included automatically) and reasonable request rates. This actor observes a 1-second delay between API calls per coordinate. For large coordinate lists, runs may take several minutes. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `coordinates` (type: `array`): List of lat/lon coordinate objects to query. Each entry must have "lat" and "lon" fields (decimal degrees). Example: \[{"lat": 44.0, "lon": -71.0, "label": "Mt Washington Summit"}] ## `includeAlerts` (type: `boolean`): Fetch active NWS weather alerts for each coordinate point ## `includeForecast` (type: `boolean`): Fetch 7-day point forecast for each coordinate point ## `maxItems` (type: `integer`): Maximum number of records to return (alerts + forecast periods combined) ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "coordinates": [ { "lat": 44.2706, "lon": -71.3033, "label": "Mt Washington Summit" }, { "lat": 44.5236, "lon": -71.1762, "label": "Pinkham Notch" } ], "includeAlerts": true, "includeForecast": true, "maxItems": 10 } ``` # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "coordinates": [ { "lat": 44.2706, "lon": -71.3033, "label": "Mt Washington Summit" }, { "lat": 44.5236, "lon": -71.1762, "label": "Pinkham Notch" } ], "includeAlerts": true, "includeForecast": true, "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/nws-weather-alerts-point-forecast-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "coordinates": [ { "lat": 44.2706, "lon": -71.3033, "label": "Mt Washington Summit", }, { "lat": 44.5236, "lon": -71.1762, "label": "Pinkham Notch", }, ], "includeAlerts": True, "includeForecast": True, "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/nws-weather-alerts-point-forecast-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "coordinates": [ { "lat": 44.2706, "lon": -71.3033, "label": "Mt Washington Summit" }, { "lat": 44.5236, "lon": -71.1762, "label": "Pinkham Notch" } ], "includeAlerts": true, "includeForecast": true, "maxItems": 10 }' | apify call jungle_synthesizer/nws-weather-alerts-point-forecast-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/nws-weather-alerts-point-forecast-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NWS Weather Alerts & Point Forecast Scraper", "description": "Fetch active NWS weather alerts and multi-day forecasts for a list of coordinates (trailheads, campgrounds, peaks). Supply lat/lon pairs and get per-point active alerts plus 7-day forecast in one pass. Purpose-built for outdoor trip planning and trail-condition workflows. No API key required.\n", "version": "0.1", "x-build-id": "NK0RZxJ6EffjIcYkg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~nws-weather-alerts-point-forecast-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-nws-weather-alerts-point-forecast-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/jungle_synthesizer~nws-weather-alerts-point-forecast-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-nws-weather-alerts-point-forecast-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/jungle_synthesizer~nws-weather-alerts-point-forecast-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-nws-weather-alerts-point-forecast-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", "required": [ "coordinates" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "coordinates": { "title": "Coordinates", "type": "array", "description": "List of lat/lon coordinate objects to query. Each entry must have \"lat\" and \"lon\" fields (decimal degrees). Example: [{\"lat\": 44.0, \"lon\": -71.0, \"label\": \"Mt Washington Summit\"}]\n", "items": { "type": "string" } }, "includeAlerts": { "title": "Include Active Alerts", "type": "boolean", "description": "Fetch active NWS weather alerts for each coordinate point", "default": true }, "includeForecast": { "title": "Include Point Forecast", "type": "boolean", "description": "Fetch 7-day point forecast for each coordinate point", "default": true }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of records to return (alerts + forecast periods combined)", "default": 100 } } }, "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 } } } } } } } } } } ```