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Historical Weather Data

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Historical and forecast weather for any location by name or coordinates. Daily and hourly, no API key.

Pricing

Pay per usage

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Developer

Ken Agland

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Monthly active users

2 days ago

Last modified

What it does

Looks up daily weather for one or more locations, given by name or by lat,lon.
Geocodes place names to coordinates automatically.
Serves past days from the historical archive and recent or future days from the forecast, merged by date.
Optional hourly temperature nested inside each daily item.
Metric or imperial units.

Example input

{
  "locations": [
    "London",
    "Tokyo"
  ],
  "startDate": "2025-06-01",
  "endDate": "2025-06-05",
  "hourly": false,
  "units": "metric"
}

Input

Field	Type	Description
`locations`	array	One or more place names (for example `"Tokyo"`) or `"lat,lon"` pairs (for example `"51.5,-0.12"`).
`startDate`	string	First day, `YYYY-MM-DD`. Defaults to seven days before the end date.
`endDate`	string	Last day, `YYYY-MM-DD`. Defaults to today.
`hourly`	boolean	Add an hourly temperature array to each daily item. Default `false`.
`units`	string	`metric` (C, mm, km/h) or `imperial` (F, in, mph). Default `metric`.

Output

One dataset item per location per day:

{
  "location": "London",
  "resolvedName": "London, England, United Kingdom",
  "latitude": 51.5,
  "longitude": -0.12,
  "date": "2025-06-01",
  "tempMaxC": 21.3,
  "tempMinC": 11.8,
  "precipitationMm": 0,
  "windSpeedMax": 18.7,
  "windSpeedUnit": "km/h",
  "units": "metric",
  "source": "archive"
}

With imperial units the numeric keys become tempMaxF, tempMinF, and precipitationIn, and windSpeedMax is in mph. When hourly is true, each item also carries an hourly array of { "time", "temp" } readings for that day.

Run summary (OUTPUT)

The run's default key-value store record OUTPUT holds an aggregate:

{
  "query": {
    "locations": [
      "London",
      "Tokyo"
    ],
    "startDate": "2025-06-01",
    "endDate": "2025-06-05",
    "hourly": false,
    "units": "metric"
  },
  "locationsRequested": 2,
  "locationsResolved": 2,
  "resolved": [
    {
      "location": "London",
      "resolvedName": "London, England, United Kingdom",
      "latitude": 51.5,
      "longitude": -0.12
    }
  ],
  "dayCount": 5,
  "dateRange": {
    "start": "2025-06-01",
    "end": "2025-06-05"
  },
  "itemsPushed": 10,
  "generatedFrom": "https://open-meteo.com"
}

How it works

Each location is geocoded to coordinates (coordinate pairs are used directly). The date window is split: days older than the archive lag are read from the Open-Meteo archive API, while recent and future days come from the forecast API. The two sets are merged by date, so a range that straddles today returns a single continuous series. All requests retry on rate limits and server errors with backoff, and locations that cannot be resolved are skipped without failing the run.

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