# Meteociel Forecast Scraper Task

**Use case:** 

This task provides detailed hourly weather forecasts for Prague, including key metrics like temperature, humidity, wind speed, and conditions. With a focus on 3- and 6-hourly updates, you can expect precise data for planning purposes over a 10-day period.

## Input

```json
{
  "cities": "Prague",
  "outputMode": "timesteps",
  "delayMs": 2000,
  "maxRetries": 3
}
```

## Output

```json
{
  "city": {
    "label": "City",
    "format": "text"
  },
  "country": {
    "label": "Country",
    "format": "text"
  },
  "date": {
    "label": "Date",
    "format": "text"
  },
  "hour": {
    "label": "Hour",
    "format": "text"
  },
  "temperature_c": {
    "label": "Temp (°C)",
    "format": "number"
  },
  "feels_like_c": {
    "label": "Feels Like (°C)",
    "format": "number"
  },
  "humidity_pct": {
    "label": "Humidity (%)",
    "format": "number"
  },
  "pressure_hpa": {
    "label": "Pressure (hPa)",
    "format": "number"
  },
  "wind_speed_kmh": {
    "label": "Wind (km/h)",
    "format": "number"
  },
  "wind_gust_kmh": {
    "label": "Gust (km/h)",
    "format": "number"
  },
  "wind_direction": {
    "label": "Wind Dir.",
    "format": "text"
  },
  "wind_direction_deg": {
    "label": "Wind Dir. (°)",
    "format": "number"
  },
  "rainfall_mm": {
    "label": "Rain (mm / period)",
    "format": "number"
  },
  "period_hours": {
    "label": "Period (h)",
    "format": "number"
  },
  "weather_condition": {
    "label": "Condition",
    "format": "text"
  },
  "sunrise": {
    "label": "Sunrise",
    "format": "text"
  },
  "sunset": {
    "label": "Sunset",
    "format": "text"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The MeteoCiel Forecast Scraper Actor is ready to run with the inputs already set for "Meteociel Forecast Scraper Task". [Sign up or log in](https://console.apify.com/create-task-from-example/8GoXJ6mhmciQywHUq) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Meteociel Forecast Scraper Task" task

The MeteoCiel Forecast Scraper Actor will start running based on the input automatically. You can also change all the input fields, like cities, output, and more, to match your specific use case.

### 3. Receive the "Meteociel Forecast Scraper Task" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as city, country, date, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Meteociel Forecast Scraper Task" task via API](https://apify.com/valentin-b117/meteociel-forecast-scraper.md).

## FAQ

### What data does the Meteociel Forecast Scraper task return?

The Meteociel Forecast Scraper task returns hourly weather data including temperature, feels-like temperature, humidity, wind speed, pressure, rainfall, and weather conditions.

### What cities does the Meteociel Forecast Scraper task cover?

The Meteociel Forecast Scraper task currently provides weather forecasts for Prague and Chateauroux.

### How can I schedule the Meteociel Forecast Scraper task to run automatically?

The Meteociel Forecast Scraper task can be scheduled to run automatically in the Apify Console.

### How does the Meteociel Forecast Scraper resolve city names?

The Meteociel Forecast Scraper automatically resolves the station code for city names provided in the input.

### What is the format of the output data from this task?

The output data from the Meteociel Forecast Scraper is structured in JSON format with one JSON object per forecast hour.

## About this Actor

This example demonstrates how to use [MeteoCiel Forecast Scraper](https://apify.com/valentin-b117/meteociel-forecast-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/valentin-b117/meteociel-forecast-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/valentin-b117/meteociel-forecast-scraper.md

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`).