# Global Weather Forecast & Climate Scraper (`litezero/open-meteo-weather-scraper`) Actor

Extract daily weather forecasts, max/min temperatures, precipitation totals, wind speeds, and precipitation probabilities across cities worldwide without API keys.

- **URL**: https://apify.com/litezero/open-meteo-weather-scraper.md
- **Developed by:** [LiteZero](https://apify.com/litezero) (community)
- **Categories:** Travel, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.70 / 1,000 item scrapeds

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

## 🌦️ Global Weather Forecast & Climate Scraper

Extract accurate 7-to-14 day weather forecasts, max/min temperatures, precipitation probabilities, wind speeds, and atmospheric conditions for any city or geographic coordinates worldwide using **Open-Meteo**.

Engineered for travel planners, logistics operations, agricultural supply chains, outdoor event coordinators, and automated weather alerting services.

***

### 🥊 Why This Actor Beats the Competition

| Feature | 🌦️ This Actor (`litezero`) | 🔒 OpenWeatherMap / AccuWeather | 🐢 Scraping Weather.com / AccuWeather HTML |
|---|---|---|---|
| **Speed** | ⚡ **< 1.0 second / location** | ⏳ 2–3s with rate limiting | 🐌 15–30s headless browser scraping |
| **Pricing** | 💰 **$1.00 / 1,000 locations** (Free Platform Usage) | 💳 $40–$200/month subscriptions | 💸 $5–$10 per run compute costs |
| **Setup Friction** | 🚀 **Zero API keys required** | 📝 Complex developer API key signup | 🚫 Fragile DOM selectors & anti-bot CAPTCHAs |
| **Geocoding** | 📍 Auto-resolves city names or coordinates | ❌ Requires exact city IDs or lat/lon | ⚠️ Geolocation redirection issues |
| **Forecast Range** | 📦 7 to 14 days full daily breakdown | ⚠️ Free tier limited to 5-day / 3-hour | 🔒 Historical data heavily paywalled |

***

### 🛠️ Step-by-Step: How to Use

#### Method 1: Apify Web Console (No-Code)

1. Enter city names (e.g. `New York`, `London`, `Tokyo`, `Paris`, `Sydney`) or `lat,lon` coordinates.
2. Select your forecast horizon (`7` to `14` days).
3. Choose your temperature unit (`Celsius` or `Fahrenheit`).
4. Click **Start** and export results to JSON, CSV, or Excel.

#### Method 2: Python SDK

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
    "locations": ["San Francisco", "Austin", "Miami"],
    "forecastDays": 7,
    "temperatureUnit": "fahrenheit"
}

run = client.actor("litezero/open-meteo-weather-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['location']}, {item['country']}: Today {item['today_temperature_max']}°F ({item['today_condition']})")
```

#### Method 3: Node.js SDK

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/open-meteo-weather-scraper').call({
    locations: ['Berlin', 'Rome', 'Madrid'],
    forecastDays: 10,
    temperatureUnit: 'celsius'
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted weather for ${items.length} cities.`);
```

#### Method 4: REST API / cURL

```bash
curl "https://api.apify.com/v2/acts/litezero~open-meteo-weather-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"locations": ["Tokyo", "Seoul"], "forecastDays": 7}'
```

***

### 📥 Input Parameters

| Parameter | Type | Required | Default | Description |
|---|:---:|:---:|:---:|---|
| `locations` | `array` | **Yes** | `["New York", "London", "Tokyo"]` | City names or coordinate strings (`lat,lon`). |
| `forecastDays` | `integer`| No | `7` | Days of forecast (1–14). |
| `temperatureUnit` | `string` | No | `"celsius"` | Temperature measurement: `celsius` or `fahrenheit`. |

***

### 📤 Output Data Dictionary & Sample JSON

```json
{
  "location": "Tokyo",
  "search_query": "Tokyo",
  "country": "Japan",
  "latitude": 35.6895,
  "longitude": 139.69171,
  "timezone": "Asia/Tokyo",
  "temperature_unit": "celsius",
  "forecast_days_count": 7,
  "today_temperature_max": 22.4,
  "today_temperature_min": 15.1,
  "today_condition": "Partly cloudy",
  "daily_forecast": [
    {
      "date": "2026-10-04",
      "condition": "Partly cloudy",
      "weather_code": 2,
      "temperature_max": 22.4,
      "temperature_min": 15.1,
      "precipitation_sum_mm": 0.0,
      "precipitation_probability_max": 10,
      "wind_speed_max_kmh": 14.8
    }
  ],
  "scraped_at": "2026-10-04T06:30:00.000Z"
}
```

***

### 💡 Top Commercial Use Cases

1. **Travel & Hospitality Portals:** Enrich destination guides, flight booking itineraries, and hotel stay recommendations with real-time 14-day forecasts.
2. **Logistics & Fleet Dispatch:** Identify severe rain, snow, or high wind conditions along freight corridors and delivery routes.
3. **AgTech & Crop Monitoring:** Monitor regional rainfall patterns and temperature swings to trigger automated irrigation and harvesting schedules.

# Actor input Schema

## `locations` (type: `array`):

List of city names to extract weather forecasts for.

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

Number of forecast days (1 to 14).

## `temperatureUnit` (type: `string`):

Measurement unit for temperatures.

## Actor input object example

```json
{
  "locations": [
    "New York",
    "London",
    "Tokyo",
    "Paris",
    "Sydney"
  ],
  "forecastDays": 7,
  "temperatureUnit": "celsius"
}
```

# Actor output Schema

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

No description

# 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",
        "London",
        "Tokyo",
        "Paris",
        "Sydney"
    ],
    "forecastDays": 7,
    "temperatureUnit": "celsius"
};

// Run the Actor and wait for it to finish
const run = await client.actor("litezero/open-meteo-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 = {
    "locations": [
        "New York",
        "London",
        "Tokyo",
        "Paris",
        "Sydney",
    ],
    "forecastDays": 7,
    "temperatureUnit": "celsius",
}

# Run the Actor and wait for it to finish
run = client.actor("litezero/open-meteo-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 '{
  "locations": [
    "New York",
    "London",
    "Tokyo",
    "Paris",
    "Sydney"
  ],
  "forecastDays": 7,
  "temperatureUnit": "celsius"
}' |
apify call litezero/open-meteo-weather-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,litezero/open-meteo-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/0hMqQ21NxaaRoEein/builds/y6MtpxTtK7kBSKRNf/openapi.json