# Aviation Weather Scraper — METAR, TAF & Airport Stations (`hipersoft/aviation-weather-scraper`) Actor

Get live and recent aviation weather: METAR observations (temperature, wind, gusts, visibility, clouds, flight category), TAF forecasts and airport station info for any ICAO airport worldwide, whole US states or a map area. Export CSV/JSON.

- **URL**: https://apify.com/hipersoft/aviation-weather-scraper.md
- **Developed by:** [hiper soft](https://apify.com/hipersoft) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.0005 / weather record

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Aviation Weather Scraper: METAR, TAF and Airport Weather Stations

**Aviation Weather Scraper** collects official aviation weather for any airport in the world: **METAR** surface observations, **TAF** terminal aerodrome forecasts and **airport station information**. Every METAR is decoded into clean fields: **temperature (°C and °F), dew point, wind direction, wind speed and gusts, visibility, altimeter and sea-level pressure, present weather, cloud layers with heights, flight category (VFR, MVFR, IFR, LIFR)**, coordinates and the raw report. Query by **ICAO airport code** (KJFK, EGLL, EDDF, RJTT…), by **whole US state**, or by a **map area**, and get up to **15 days of METAR history**. Export to **CSV, Excel or JSON**. Ideal for **flight planning tools, drone operations, logistics, weather analytics and prediction markets**.

### What does Aviation Weather Scraper do?

- ✈️ **METAR observations**: decoded current and recent airport weather.
- 🗓️ **TAF forecasts**: issue time, validity window, raw TAF and each forecast period decoded.
- 🗼 **Station info**: ICAO, IATA, FAA and WMO codes, name, state, country, coordinates, elevation.
- 🌍 **Any ICAO airport worldwide**, in batches of hundreds of airports.
- 🇺🇸 **Whole US states**: every reporting station in a state.
- 🗺️ **Map area**: every station inside a latitude/longitude bounding box.
- ⏱️ **History**: up to 360 hours (15 days) of METARs.
- 🌡️ **Temperature in °C and °F**, wind in knots, cloud bases in feet.
- 🟢 **Flight category**: VFR, MVFR, IFR, LIFR.
- 📝 **Raw report text** included for every record.

### What data can you get?

| Field | Description |
|---|---|
| Station | ICAO code, name, latitude, longitude, elevation |
| Time | Observation time, report time (METAR); issue and validity times (TAF) |
| Temperature | Temperature °C/°F, dew point, max/min |
| Wind | Direction, speed, gusts, variable flag |
| Visibility | Prevailing visibility |
| Pressure | Altimeter, sea-level pressure |
| Weather | Present weather (rain, snow, fog…), precipitation |
| Clouds | Cover summary and layers with base heights |
| Category | Flight category (VFR/MVFR/IFR/LIFR) |
| Raw | Raw METAR or TAF text |
| Forecasts | TAF periods with wind, visibility, weather and clouds |

### Use cases for aviation weather data

- **Flight planning and EFB apps**: pull decoded METARs and TAFs for routes and alternates.
- **Drone and UAV operations**: check wind, gusts and visibility before flights.
- **Logistics and airlines**: monitor weather at hubs and destinations.
- **Weather analytics and research**: build observation histories for any airport.
- **Prediction markets**: settle temperature and weather questions with official observations.
- **Dashboards and alerts**: track flight categories across a state or region.

### How to use Aviation Weather Scraper

1. Click **Try for free** to open the scraper in Apify Console.
2. Choose a **report type**: METAR, TAF or station info.
3. Enter **airport codes**, pick **US states**, or set a **map area**.
4. For METAR, set **hours of history**.
5. Click **Start** and download the results as **CSV, Excel or JSON**.

### Input

#### Example input

```json
{
  "reportType": "metar",
  "stations": ["KJFK", "EGLL", "RJTT"],
  "usStates": ["CO"],
  "hoursBack": 3,
  "maxItems": 1000
}
```

| Field | Description |
|---|---|
| **Report type** | METAR, TAF or station info. |
| **Airport codes (ICAO)** | Any ICAO station codes. |
| **US states** | All stations in these states. |
| **Map area** | minLat,minLon,maxLat,maxLon. |
| **Hours of METAR history** | 1–360 hours. |
| **Max records** | Stop after this many (0 = no limit). |

### Output

#### METAR example

```json
{
  "reportType": "METAR",
  "station": "EGLL",
  "stationName": "London/Heathrow Intl, EN, GB",
  "observationTime": "2026-10-07T06:20:00.000Z",
  "rawText": "METAR EGLL 070620Z AUTO 32004KT 300V020 9999 SCT014 OVC020 15/14 Q1012",
  "temperatureC": 15,
  "temperatureF": 59,
  "dewpointC": 14,
  "windDirectionDeg": 320,
  "windVariable": false,
  "windSpeedKt": 4,
  "windGustKt": null,
  "visibility": "6+",
  "altimeterHpa": 1012,
  "flightCategory": "MVFR",
  "cloudCover": "overcast",
  "clouds": [{ "cover": "scattered", "baseFt": 1400 }, { "cover": "overcast", "baseFt": 2000 }],
  "latitude": 51.477,
  "longitude": -0.461,
  "elevationM": 26
}
```

#### TAF example

```json
{
  "reportType": "TAF",
  "station": "KDRO",
  "stationName": "Durango/La Plata Cnty",
  "issueTime": "2026-10-07T05:39:00.000Z",
  "validFrom": "2026-10-07T06:00:00.000Z",
  "validTo": "2026-10-08T06:00:00.000Z",
  "rawText": "TAF KDRO 070539Z 0706/0806 VRB05KT P6SM FEW110 FEW250 FM072000 26008KT P6SM SCT110 SCT250 FM080200 VRB06KT P6SM FEW110 SCT250",
  "forecasts": [
    { "from": "2026-10-07T06:00:00.000Z", "to": "2026-10-07T20:00:00.000Z", "windSpeedKt": 5, "visibility": "6+", "clouds": [{ "cover": "few", "baseFt": 11000 }, { "cover": "few", "baseFt": 25000 }] }
  ]
}
```

#### Output schema

| Field | Type | Description |
|---|---|---|
| `reportType`, `station`, `stationName` | string | Report and station. |
| `observationTime`, `reportTime`, `issueTime`, `validFrom`, `validTo` | string | Times (UTC). |
| `temperatureC`, `temperatureF`, `dewpointC`, `maxTempC`, `minTempC` | number | Temperatures. |
| `windDirectionDeg`, `windVariable`, `windSpeedKt`, `windGustKt` | mixed | Wind. |
| `visibility`, `altimeterHpa`, `seaLevelPressureHpa` | mixed | Visibility and pressure. |
| `weather`, `precipitationIn` | mixed | Present weather. |
| `flightCategory`, `cloudCover`, `clouds` | mixed | Sky condition. |
| `forecasts` | array | TAF forecast periods. |
| `iata`, `faa`, `wmo`, `state`, `country`, `reportTypes` | mixed | Station info. |
| `rawText` | string | Raw report. |
| `latitude`, `longitude`, `elevationM` | number | Location. |

### How much does it cost?

Aviation Weather Scraper uses **pay-per-record** pricing: a small fixed price per report, with automatic discounts on higher Apify plans. See the **Pricing** tab for the exact price.

### More weather data

- [Open-Meteo Weather Scraper](https://apify.com/hipersoft/open-meteo-weather-scraper): forecasts for any location.
- [Historical Weather Scraper](https://apify.com/hipersoft/historical-weather-scraper): past weather by location.
- [US Weather Alerts Scraper](https://apify.com/hipersoft/us-weather-alerts-scraper): active NWS warnings.
- [Marine Weather Scraper](https://apify.com/hipersoft/marine-weather-scraper): waves and marine forecasts.

### FAQ

**Which airports are covered?**
Any station that issues METAR or TAF reports, worldwide, using ICAO codes.

**How far back can I get METARs?**
Up to 360 hours (15 days).

**What is flight category?**
VFR, MVFR, IFR or LIFR, derived from ceiling and visibility.

**Can I monitor a whole state?**
Yes. Pick one or more **US states**, or draw a **map area**, and schedule the scraper to run as often as you need.

**What formats can I export?**
CSV, Excel, JSON, XML, HTML and RSS, or read the results through the Apify API.

**Can I integrate this scraper with other apps?**
Aviation Weather Scraper can be connected with almost any cloud service or web app thanks to [integrations on the Apify platform](https://apify.com/integrations). It works with [Make](https://apify.com/integrations/make), [Zapier](https://apify.com/integrations/zapier), [Slack](https://docs.apify.com/platform/integrations/slack), [Airbyte](https://docs.apify.com/platform/integrations/airbyte), [GitHub](https://docs.apify.com/platform/integrations/github), [Google Drive](https://docs.apify.com/platform/integrations/drive) and [many more](https://apify.com/integrations), plus the [Apify API](https://docs.apify.com/api/v2), JS/Python clients and MCP. Or use [webhooks](https://docs.apify.com/platform/integrations/webhooks) to trigger an action whenever a run finishes.

**Can I use this for flight navigation?**
The data is for information and planning tools only; always use official briefings for operational flight decisions.

### Related Actors

- [Open-Meteo Weather Scraper](https://apify.com/hipersoft/open-meteo-weather-scraper)
- [US Weather Alerts Scraper](https://apify.com/hipersoft/us-weather-alerts-scraper)

### Notes

Original clean-room implementation. Returns only public weather data. Not affiliated with the U.S. National Weather Service.

# Actor input Schema

## `reportType` (type: `string`):

METAR observations, TAF forecasts or station information.

## `stations` (type: `array`):

ICAO airport/station codes, e.g. KJFK, KLAX, EGLL, EDDF, RJTT, YSSY.

## `usStates` (type: `array`):

All stations in these US states.

## `boundingBox` (type: `string`):

Optional. minLat,minLon,maxLat,maxLon — e.g. 40,-90,45,-85.

## `hoursBack` (type: `integer`):

How many hours of recent METAR observations to return (1–360). Default 1 = latest.

## `maxItems` (type: `integer`):

Stop after this many records. 0 means no limit.

## `proxyConfiguration` (type: `object`):

Not required for normal use.

## Actor input object example

```json
{
  "reportType": "metar",
  "stations": [
    "KJFK",
    "EGLL",
    "RJTT"
  ],
  "hoursBack": 1,
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (type: `string`):

The results as dataset items.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "stations": [
        "KJFK",
        "EGLL",
        "RJTT"
    ],
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/aviation-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "stations": [
        "KJFK",
        "EGLL",
        "RJTT",
    ],
    "maxItems": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/aviation-weather-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": [
    "KJFK",
    "EGLL",
    "RJTT"
  ],
  "maxItems": 100
}' |
apify call hipersoft/aviation-weather-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/aviation-weather-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/31kHYgUik928wosp2/builds/1Kj16hQ3svIqD3z2m/openapi.json