# Airport Weather & METAR Scraper (`crawlerbros/airport-metar-weather-scraper`) Actor Get real-time airport weather observations (METAR) and forecasts (TAF) from the FAA Aviation Weather Center. Covers thousands of airports worldwide. Provides temperature, wind, visibility, cloud layers, and raw METAR strings. Free, no auth or proxy required. - **URL**: https://apify.com/crawlerbros/airport-metar-weather-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Developer tools, Travel, MCP servers - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Airport Weather & METAR Scraper Get real-time airport weather observations (METAR) and terminal aerodrome forecasts (TAF) from the FAA Aviation Weather Center for thousands of airports worldwide. No API key, no proxy, no authentication required. ### Features - **METAR mode** — current weather observations: temperature, dew point, wind, visibility, cloud layers, altimeter, raw METAR string - **TAF mode** — multi-period terminal forecasts with wind and condition breakdowns - Covers thousands of global airports using standard ICAO 4-letter codes - Completely free — powered by the official US government aviationweather.gov service - No proxy or authentication required ### Data Source All data comes from the [FAA Aviation Weather Center](https://aviationweather.gov) public API (`aviationweather.gov/api/data`). This is the official US government source for aviation weather and is freely accessible worldwide. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `mode` | select | `metar` | `metar` for current observations, `taf` for forecasts | | `stationIds` | string | Top 10 US airports | Comma-separated ICAO codes (e.g. `KJFK,KLAX,EGLL,LFPG`) | | `maxItems` | integer | `50` | Maximum records to return (1–500) | #### ICAO Airport Codes ICAO codes are 4-letter identifiers. Common prefixes: - **K** — United States (e.g. `KJFK`, `KLAX`, `KORD`) - **E** — Northern Europe (e.g. `EGLL` London Heathrow, `EDDF` Frankfurt) - **L** — Southern Europe (e.g. `LFPG` Paris CDG, `LIRF` Rome) - **Y** — Australia (e.g. `YSSY` Sydney) - **Z** — China (e.g. `ZBAA` Beijing) ### Output #### METAR fields | Field | Description | |-------|-------------| | `icaoId` | ICAO airport code | | `stationName` | Full airport name | | `lat` / `lon` | Station coordinates | | `elevationM` | Elevation in metres | | `observationTime` | Observation timestamp (ISO 8601 UTC) | | `tempC` | Temperature in Celsius | | `dewpointC` | Dew point in Celsius | | `windDirDeg` | Wind direction in degrees | | `windSpeedKt` | Wind speed in knots | | `windGustKt` | Wind gust in knots (if present) | | `visibilityMiles` | Visibility in statute miles | | `altimeterInHg` | Altimeter setting in inches of mercury | | `seaLevelPressureMb` | Sea-level pressure in millibars | | `weatherConditions` | Present weather string (e.g. `-RA`, `FG`) | | `cloudLayers` | Array of cloud layers with cover and base altitude | | `rawMetar` | Full raw METAR string | | `metarType` | `METAR` or `SPECI` | | `dataSource` | Always `aviationweather.gov` | | `recordType` | Always `metar` | | `scrapedAt` | Scrape timestamp (ISO 8601 UTC) | #### TAF fields | Field | Description | |-------|-------------| | `icaoId` | ICAO airport code | | `stationName` | Full airport name | | `lat` / `lon` | Station coordinates | | `issueTime` | TAF issue time | | `validFrom` / `validTo` | Validity period (ISO 8601 UTC) | | `forecastPeriods` | Array of forecast periods with wind and conditions | | `rawTaf` | Full raw TAF string | | `dataSource` | Always `aviationweather.gov` | | `recordType` | Always `taf` | | `scrapedAt` | Scrape timestamp (ISO 8601 UTC) | ### Example Inputs #### Current weather at major US airports (METAR) ```json { "mode": "metar", "stationIds": "KJFK,KLAX,KORD,KATL,KDFW", "maxItems": 10 } ```` #### Forecast for European hubs (TAF) ```json { "mode": "taf", "stationIds": "EGLL,LFPG,EDDF,LEMD,LIRF", "maxItems": 10 } ``` #### Single airport lookup ```json { "mode": "metar", "stationIds": "KJFK", "maxItems": 1 } ``` ### FAQ **Is this real-time data?** Yes. METAR observations are updated every 20–60 minutes at most airports. TAFs are typically issued every 6 hours. **Do I need an API key or proxy?** No. The FAA Aviation Weather Center API is free and publicly accessible worldwide without authentication or proxy. **What ICAO codes can I use?** Any ICAO 4-letter airport code. The API covers thousands of airports globally, including major international hubs in the US, Europe, Asia, Australia, and beyond. **Why does my station return no data?** Some small or private airfields do not report METAR/TAF. Try major commercial airports for reliable results. **What is the difference between METAR and TAF?** METAR (Meteorological Aerodrome Report) is a snapshot of current conditions. TAF (Terminal Aerodrome Forecast) is a prediction of conditions over the next 24–30 hours, broken into time periods. # Actor input Schema ## `mode` (type: `string`): METAR = current conditions; TAF = forecast. ## `stationIds` (type: `string`): Comma-separated ICAO airport codes (e.g. KJFK,KLAX,EGLL,LFPG). ICAO codes are 4 letters, typically starting with K (USA), E (Europe), L (Europe), Y (Australia). ## `maxItems` (type: `integer`): Maximum number of records to return. ## Actor input object example ```json { "mode": "metar", "stationIds": "KJFK,KLAX,KORD,KATL,KDFW,KDEN,KSFO,KMIA,KBOS,KSEA", "maxItems": 50 } ``` # Actor output Schema ## `results` (type: `string`): All scraped METAR/TAF records. # 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 = { "mode": "metar", "stationIds": "KJFK,KLAX,KORD,KATL,KDFW,KDEN,KSFO,KMIA,KBOS,KSEA", "maxItems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/airport-metar-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 = { "mode": "metar", "stationIds": "KJFK,KLAX,KORD,KATL,KDFW,KDEN,KSFO,KMIA,KBOS,KSEA", "maxItems": 50, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/airport-metar-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 '{ "mode": "metar", "stationIds": "KJFK,KLAX,KORD,KATL,KDFW,KDEN,KSFO,KMIA,KBOS,KSEA", "maxItems": 50 }' | apify call crawlerbros/airport-metar-weather-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/airport-metar-weather-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Airport Weather & METAR Scraper", "description": "Get real-time airport weather observations (METAR) and forecasts (TAF) from the FAA Aviation Weather Center. Covers thousands of airports worldwide. Provides temperature, wind, visibility, cloud layers, and raw METAR strings. Free, no auth or proxy required.", "version": "1.0", "x-build-id": "e2Rdsao6KK8UpRkmC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~airport-metar-weather-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-airport-metar-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~airport-metar-weather-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-airport-metar-weather-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~airport-metar-weather-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-airport-metar-weather-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "metar", "taf" ], "type": "string", "description": "METAR = current conditions; TAF = forecast.", "default": "metar" }, "stationIds": { "title": "Station IDs (ICAO)", "type": "string", "description": "Comma-separated ICAO airport codes (e.g. KJFK,KLAX,EGLL,LFPG). ICAO codes are 4 letters, typically starting with K (USA), E (Europe), L (Europe), Y (Australia).", "default": "KJFK,KLAX,KORD,KATL,KDFW,KDEN,KSFO,KMIA,KBOS,KSEA" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of records to return.", "default": 50 } } }, "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 } } } } } } } } } } ```