# Farm Field Weather History — Rainfall & ET0 Data

**Use case:** 

Daily growing-season weather (1 April to 31 August 2026) for two field coordinates from the Open-Meteo ERA5 archive: mean temperature, precipitation, reference evapotranspiration (ET0), solar radiation sum and max wind, one row per day and field. For agronomists and irrigation planning. Replace the coordinates and the season; the archive goes back to 1940.

## Input

```json
{
  "locations": [
    "54.87,69.15",
    "53.28,69.39"
  ],
  "mode": "history",
  "days": 7,
  "units": "metric",
  "variables": [
    "temperature_2m_mean",
    "precipitation_sum",
    "et0_fao_evapotranspiration",
    "shortwave_radiation_sum",
    "wind_speed_10m_max"
  ],
  "includeEnsembleMembers": false,
  "startDate": "2026-04-01",
  "endDate": "2026-08-31",
  "timezone": "auto",
  "temperatureUnit": "",
  "windSpeedUnit": "",
  "precipitationUnit": "",
  "geocodeLanguage": "en",
  "cellSelection": "land",
  "airQualityDomain": "auto",
  "layout": "rows",
  "maxItems": 400
}
```

## Output

```json
{
  "location": {
    "label": "Location",
    "format": "text"
  },
  "date": {
    "label": "Date",
    "format": "text"
  },
  "time": {
    "label": "Time",
    "format": "text"
  },
  "temperature_2m_max": {
    "label": "T max",
    "format": "number"
  },
  "temperature_2m_min": {
    "label": "T min",
    "format": "number"
  },
  "temperature_2m": {
    "label": "T",
    "format": "number"
  },
  "precipitation_sum": {
    "label": "Precip sum",
    "format": "number"
  },
  "precipitation": {
    "label": "Precip",
    "format": "number"
  },
  "wind_speed_10m_max": {
    "label": "Wind max",
    "format": "number"
  },
  "wind_speed_10m": {
    "label": "Wind",
    "format": "number"
  },
  "weather": {
    "label": "Weather",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Open-Meteo Weather Scraper — Forecast, History, Air Quality](https://apify.com/yadroo/open-meteo-weather.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/yadroo/open-meteo-weather.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/yadroo/open-meteo-weather.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`).