# Weather Forecast by Coordinates - Daily Temperature and Rain (`alaudinburki/open-meteo-weather`) Actor

Daily weather for any latitude and longitude as flat rows - max and min temperature, precipitation and peak wind - from a free public forecast API with no key.

- **URL**: https://apify.com/alaudinburki/open-meteo-weather.md
- **Developed by:** [alaudin burki](https://apify.com/alaudinburki) (community)
- **Stats:** 2 total users, 1 monthly users, 50.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 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?

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 by Coordinates — Daily Temperature and Rain

Daily weather for any latitude and longitude as flat rows — max and min temperature, precipitation and
peak wind. Free public forecast API, no key.

### What you get

`latitude`, `longitude`, `timezone`, `elevationM`, `date`, `tempMaxC`, `tempMinC`, `precipitationMm`,
`windMaxKmh`, `firstSeenAt`, `scrapedAt`.

Because the source returns **parallel arrays** (one per field) rather than a list of objects, the
coordinates are copied from the response root onto every row — a daily row without its location cannot
be identified.

### Sample output

```json
{ "latitude": 31.529, "longitude": 74.282, "date": "2026-10-18",
  "tempMaxC": 29.2, "tempMinC": 19.7, "precipitationMm": 0, "windMaxKmh": 12.4 }
```

### Limitations

- A **forecast**, not an observation, and it changes between runs. Do not treat a run as a record.
- One coordinate per run; run the Actor per location for several.
- `elevationM` is the source's estimate for the grid cell, not a surveyed height.

### Pricing

Pay per result.

### Fields

| Field | Type | What it holds |
|---|---|---|
| `latitude` | number | Latitude in decimal degrees (WGS 84). A STRING from some sources and a number from others — check the README per Actor. |
| `longitude` | number | Longitude in decimal degrees (WGS 84). A STRING from some sources and a number from others — check the README per Actor. |
| `timezone` | string | IANA time zone name for this location. |
| `elevationM` | number | Elevation above sea level in METRES. |
| `date` | string | ISO 8601 date associated with this record. |
| `tempMaxC` | number | Daily maximum air temperature in DEGREES CELSIUS at 2 m above ground. |
| `tempMinC` | number | Daily minimum air temperature in DEGREES CELSIUS at 2 m above ground. |
| `precipitationMm` | number | Total precipitation in MILLIMETRES for the period, rain and snow water equivalent combined. |
| `windMaxKmh` | number | Maximum wind speed over the period, in KILOMETRES PER HOUR. A maximum, not an average. |

# Actor input Schema

## `latitude` (type: `number`):

Decimal latitude, e.g. 31.55 for Lahore.

## `longitude` (type: `number`):

Decimal longitude, e.g. 74.34 for Lahore.

## `forecastDays` (type: `integer`):

How many days ahead, 1-16.

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

Stop after this many rows.

## `maxPages` (type: `integer`):

Stop after this many pages.

## Actor input object example

```json
{
  "maxItems": 500,
  "maxPages": 5
}
```

# Actor output Schema

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

One row per item, with the 9 fields listed under Views.

# 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 = {
    "maxItems": 500,
    "maxPages": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("alaudinburki/open-meteo-weather").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 = {
    "maxItems": 500,
    "maxPages": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("alaudinburki/open-meteo-weather").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 '{
  "maxItems": 500,
  "maxPages": 5
}' |
apify call alaudinburki/open-meteo-weather --silent --output-dataset

```

## MCP server setup

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

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/kgkUMqeV2pQbuSiRE/builds/vX4fC0sFNBkAOpAEa/openapi.json