# Historical Daily Weather Data for a City — London 2025

**Use case:** 

Daily weather for London for every day of 2025 from the Open-Meteo ERA5 archive: max, min and mean temperature, precipitation, rain and snowfall sums, max wind speed and gusts, sunrise, sunset and weather description. For analysts explaining sales or energy demand, insurers, researchers and ML features. Change the city or the date range (back to 1940).

## Input

```json
{
  "locations": [
    "London, GB"
  ],
  "mode": "history",
  "days": 7,
  "units": "metric",
  "includeEnsembleMembers": false,
  "startDate": "2025-01-01",
  "endDate": "2025-12-31",
  "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`).