# Weather Forecast API (`gentle_cloud/weather-forecast-api`) Actor

Get current weather conditions and 7-day forecasts for any location worldwide using the free Open-Meteo API. Supports city names and coordinates.

- **URL**: https://apify.com/gentle_cloud/weather-forecast-api.md
- **Developed by:** [Monkey Coder](https://apify.com/gentle_cloud) (community)
- **Categories:** Travel, Other
- **Features:** Limited permissions
- **Stats:** 109 total users, 7 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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

## Weather Forecast API

### What it does

Fetches **current weather conditions** and **multi-day forecasts** for any location worldwide using the free [Open-Meteo API](https://open-meteo.com/). No API key required.

### Features

- **Current conditions**: Temperature, humidity, wind speed/direction/gusts, pressure, cloud cover, precipitation, weather description
- **Daily forecasts**: Up to 16 days with high/low temps, precipitation probability, UV index, sunrise/sunset, wind data
- **Flexible input**: City names (auto-geocoded) or latitude/longitude coordinates
- **Multiple locations**: Process many locations in a single run
- **Temperature units**: Celsius or Fahrenheit output
- **WMO weather codes**: Decoded into human-readable descriptions

### How to use

1. **Set locations**: Enter city names or coordinates separated by semicolons
   - City names: `New York; Tokyo; London`
   - Coordinates: `37.7749,-122.4194; 35.6762,139.6503`
   - Mixed: `New York; 48.8566,2.3522; Sydney`

2. **Choose forecast length**: Select 1-16 days of forecast data

3. **Pick temperature unit**: Celsius (default) or Fahrenheit

4. **Run the Actor** and download results from the dataset

### Input example

```json
{
    "locations": "New York; Tokyo; London; Paris; Sydney",
    "forecast_days": 7,
    "temperature_unit": "celsius"
}
```

### Output example

```json
{
    "location": "New York, New York, United States",
    "latitude": 40.7143,
    "longitude": -74.006,
    "elevation_m": 10.0,
    "timezone": "America/New_York",
    "timezone_abbreviation": "EDT",
    "current_temperature_c": 22.5,
    "current_apparent_temperature_c": 23.1,
    "current_humidity_pct": 65,
    "current_weather_code": 1,
    "current_weather_description": "Mainly clear",
    "current_is_day": true,
    "current_precipitation_mm": 0.0,
    "current_cloud_cover_pct": 25,
    "current_pressure_msl_hpa": 1015.2,
    "current_wind_speed_kmh": 12.3,
    "current_wind_direction_deg": 220,
    "current_wind_gusts_kmh": 25.1,
    "forecast_days": [
        {
            "date": "2025-03-18",
            "weather_code": 2,
            "weather_description": "Partly cloudy",
            "temp_max_c": 24.5,
            "temp_min_c": 15.2,
            "sunrise": "2025-03-18T07:05",
            "sunset": "2025-03-18T19:12",
            "uv_index_max": 6.5,
            "precipitation_sum_mm": 0.0,
            "precipitation_probability_max": 10,
            "wind_speed_max_kmh": 18.5,
            "wind_gusts_max_kmh": 35.0,
            "wind_direction_dominant": 210
        }
    ],
    "forecast_count": 7,
    "fetched_at": "2025-03-18T10:30:00.000000"
}
```

### Notes

- **Free API**: Open-Meteo is completely free for non-commercial use. No API key needed.
- **Rate limits**: The API is generous but avoid excessive concurrent requests. The Actor processes locations sequentially.
- **Geocoding**: City names are automatically resolved to coordinates using Open-Meteo's geocoding service. If a city name is ambiguous, the most relevant result is used.
- **Data freshness**: Weather data is updated every 15 minutes by Open-Meteo.
- **Coordinates**: Use decimal degrees format (e.g., `37.7749,-122.4194`). Latitude range: -90 to 90. Longitude range: -180 to 180.

# Actor input Schema

## `locations` (type: `string`):

Locations to fetch weather for, separated by semicolons. Supports city names (e.g., 'New York') or coordinates (e.g., '37.7749,-122.4194').

## `forecast_days` (type: `integer`):

Number of forecast days to include (1-16).

## `temperature_unit` (type: `string`):

Temperature unit for output values.

## Actor input object example

```json
{
  "locations": "New York; Tokyo; London; Paris; Sydney",
  "forecast_days": 7,
  "temperature_unit": "celsius"
}
```

# 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 = {
    "locations": "New York; Tokyo; London; Paris; Sydney",
    "forecast_days": 7,
    "temperature_unit": "celsius"
};

// Run the Actor and wait for it to finish
const run = await client.actor("gentle_cloud/weather-forecast-api").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 = {
    "locations": "New York; Tokyo; London; Paris; Sydney",
    "forecast_days": 7,
    "temperature_unit": "celsius",
}

# Run the Actor and wait for it to finish
run = client.actor("gentle_cloud/weather-forecast-api").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 '{
  "locations": "New York; Tokyo; London; Paris; Sydney",
  "forecast_days": 7,
  "temperature_unit": "celsius"
}' |
apify call gentle_cloud/weather-forecast-api --silent --output-dataset

```

## MCP server setup

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

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/rBQi7s0qrkVpJjeLc/builds/kfz0YZpqRlNKfWoxw/openapi.json