# Weather & Air Quality API - Forecast, AQI, History (`channel_l/open-meteo-weather-aqi`) Actor

Weather forecast, current conditions, air quality (AQI) and historical data for any place. City or coordinates. Temperature, 7-day forecast, humidity, wind, UV. Free Open-Meteo API, no key. Travel, logistics, agriculture.

- **URL**: https://apify.com/channel\_l/open-meteo-weather-aqi.md
- **Developed by:** [Channel L](https://apify.com/channel_l) (community)
- **Categories:** Travel
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 location results

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Weather & Air Quality API by Open-Meteo

Fetch **current weather, 7-day forecast, air quality (AQI) and optional 30-day history** for any place on Earth — powered by the free, public [Open-Meteo](https://open-meteo.com) API. **No API key required.**

Input a list of cities (e.g. `"New York, USA"`) or coordinates (`"51.5,-0.12"`). Each output record bundles everything for one location.

### What you get per location

- **Current weather** — temperature, humidity, apparent temp, weather code, wind, pressure, is-day
- **7-day daily forecast** — max/min temp, precipitation, weather code each day
- **Air quality** — US AQI, European AQI, PM2.5, PM10, O₃, NO₂, SO₂, CO
- **Optional 30-day history** — daily max/min temp & precipitation

### Why it

- Official & free — no API key, no login
- Global coverage — any city or lat/lon
- Use cases: logistics route planning, agriculture, travel porters, event planning, energy, health alerts (AQI), dashboards, AI agents

### Input

| Field | Type | Description |
|---|---|---|
| places | array | City names ("Tokyo, Japan") or "lat,lon" |
| includeForecast | boolean | 7-day forecast (default true) |
| includeAirQuality | boolean | AQI + pollutants (default true) |
| includeHistorical | boolean | 30-day history (default false) |

### Example output

```json
{
  "name": "New York",
  "lat": 40.71, "lon": -74.0,
  "current": { "temperature_2m": 18.4, ... },
  "daily": [ { "date": "2026-09-13", "max": 22.1, "min": 14.0, "precip": 0.2 } ],
  "air_quality": { "us_aqi": 42, "pm25": 8.1, ... }
}
```

### Fair use

Respects Open-Meteo fair-use policy (free for non-commercial & small-scale use). Source: open-meteo.com.

# Actor input Schema

## `places` (type: `array`):

List of locations as city names (e.g. "New York", "Jakarta, Indonesia") or coordinates "lat,lon".

## `timezone` (type: `string`):

IANA timezone for the forecast (default 'auto').

## `includeForecast` (type: `boolean`):

Fetch current + 7-day hourly/daily forecast per location. Default true.

## `includeAirQuality` (type: `boolean`):

Fetch current air quality (AQI, PM2.5, PM10, O3, NO2) per location. Default true.

## `includeHistorical` (type: `boolean`):

Fetch daily historical weather for the past 30 days. Default false.

## Actor input object example

```json
{
  "places": [
    "New York, USA",
    "London, UK"
  ],
  "timezone": "auto",
  "includeForecast": true,
  "includeAirQuality": true,
  "includeHistorical": false
}
```

# Actor output Schema

## `datasetJson` (type: `string`):

Link to the full weather/AQI dataset in JSON format.

## `datasetCsv` (type: `string`):

Download the dataset as CSV.

## `totalLocations` (type: `string`):

Number of records in the dataset.

# 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 = {
    "places": [
        "New York, USA",
        "London, UK"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("channel_l/open-meteo-weather-aqi").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 = { "places": [
        "New York, USA",
        "London, UK",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("channel_l/open-meteo-weather-aqi").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 '{
  "places": [
    "New York, USA",
    "London, UK"
  ]
}' |
apify call channel_l/open-meteo-weather-aqi --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,channel_l/open-meteo-weather-aqi"
        }
    }
}
```

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/rcyPOB8ofUbKJr7YR/builds/wmuI4ijYe16uLpDF7/openapi.json