Weather API — Historical & Forecast avatar

Weather API — Historical & Forecast

Pricing

$0.40 / 1,000 weather days

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Weather API — Historical & Forecast

Weather API — Historical & Forecast

Daily temperature, precipitation, wind and more for any coordinates on Earth — 80+ years of history plus a 16-day forecast, no API key.

Pricing

$0.40 / 1,000 weather days

Rating

0.0

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Developer

Pepe Schuster

Pepe Schuster

Maintained by Community

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1

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26 minutes ago

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Historical & Forecast Weather API (Open-Meteo)

Daily temperature, precipitation, wind and more for any coordinates on Earth — 80+ years of history plus a 16-day forecast, no API key.

Pass one or more lat,lon coordinates and a date range and get tidy daily weather — max/min temperature, precipitation, wind — from Open-Meteo's ERA5 archive and forecast. No account, no API key, and no proxies — this Actor reads a stable public API and returns clean, structured data you can download as JSON, CSV, or Excel, or pull straight from the Apify API.

Features

  • Fast & reliable — hits a stable public endpoint, so runs don't get blocked or break on layout changes.
  • 🎯 Clean structured output — every result is a flat record with consistent fields (coordinate, date, temperature_2m_max, temperature_2m_min, precipitation_sum).
  • 🔁 Batch & schedulable — pass multiple queries in one run, or schedule it for a always-fresh feed.
  • 🔌 Integrates everywhere — export JSON/CSV/Excel or connect via the API, webhooks, Zapier, Make, Google Sheets, and 5,000+ integrations.

Who it's for

Commodity & energy traders (nat-gas HDD/CDD, crop weather), quants backtesting weather-vs-price edges, ag analysts, and dashboards.

Common use cases

  • Market, competitor, and trend research
  • Feeding dashboards, spreadsheets, and internal tools
  • Enriching datasets and powering AI / RAG / automation workflows

Input

FieldTypeDescription
coordinatesarrayOne or more 'lat,lon' points, e.g. '41.85,-87.65' (Chicago). Weather is returned per point. Required.
fromDatestringStart date YYYY-MM-DD.
toDatestringEnd date YYYY-MM-DD (default today).
dailyVarsarrayOpen-Meteo daily variables. Default: temperature_2m_max, temperature_2m_min, precipitation_sum, windspeed_10m_max.
maxItemsintegerCap the number of records returned (0 = provider default).

Example input

{
"coordinates": [
"41.85,-87.65"
],
"fromDate": "2020-01-01",
"toDate": "",
"dailyVars": [
"temperature_2m_max",
"temperature_2m_min",
"precipitation_sum",
"windspeed_10m_max"
],
"maxItems": 25
}

Output

One record per result. Example output:

{
"coordinate": "...",
"date": "2024-01-15",
"temperature_2m_max": "...",
"temperature_2m_min": "...",
"precipitation_sum": "..."
}

Fields: coordinate, date, temperature_2m_max, temperature_2m_min, precipitation_sum. Download as JSON, CSV, XML, or Excel — or fetch programmatically from the dataset API.

Pricing

This Actor uses pay-per-result: you're billed only for the records you actually get. No monthly fee, and empty runs cost nothing — so it's dramatically cheaper than manual research or bloated data subscriptions.

FAQ

Do I need an API key or login? No — it uses a public endpoint. How fresh is the data? It's fetched live on every run, so it's as current as the source. Can I run it automatically? Yes — schedule it (hourly / daily / weekly) or trigger it via API or webhook. How do I get more results? Increase maxItems, or pass several queries in a single run. What formats can I export? JSON, CSV, Excel, XML, RSS, or via the API.

Notes

This Actor reads a public API. Please use it responsibly and within the data provider's terms of service.