Climate Projections & Environmental Scraper (Open-Meteo)

Scrape long-term climate projections (CMIP6 models to 2050) and ensemble forecast spread from the free Open-Meteo APIs — no API key required. Every response is un-pivoted from Open-Meteo's columnar arrays into clean, flat, one-row-per-timestep records ready for analysis.

Typical cost is roughly ~$0.5 per 1,000 results on Apify compute — you only pay for platform usage, the data source itself is free.

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What this actor does (and how it differs from our short-range weather actors)

Open-Meteo exposes several distinct APIs. This actor deliberately covers the long-horizon / probabilistic endpoints that our other actors do not:

Actor	Endpoint	Horizon	This one?
This actor	climate-api (CMIP6) + ensemble-api	Decades → 2050, and ensemble member spread	Yes
weather-scraper	forecast API	Short-range daily/hourly forecast	No — different actor
marine-weather-scraper	marine API	Short-range waves/sea state	No — different actor
flood-forecast-scraper	flood API	River discharge forecast	No — different actor
air-quality-scraper	air-quality API	Short-range pollutants	No — different actor
nasa-power-scraper	NASA POWER	Historical solar/meteo	No — different source

In one line: the weather / marine / flood / air-quality actors answer "what will the weather be in the next few days?" — this actor answers "what does the climate look like out to 2050, and how much do the ensemble members disagree?"

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Modes

1. projections — CMIP6 climate models to 2050

Daily downscaled climate-model output per model. CMIP6 (Coupled Model Intercomparison Project Phase 6) high-resolution models simulate temperature, precipitation and more under future scenarios, letting you compare how different models project a location's climate decades ahead.

Verified high-resolution models: CMCC_CM2_VHR4, FGOALS_f3_H, HiRAM_SIT_HR, MRI_AGCM3_2_S, EC_Earth3P_HR, MPI_ESM1_2_XR, NICAM16_8S. Pass several to compare model spread — each produces its own rows.

2. ensemble — forecast member spread

Ensemble forecasts run the same model many times with slightly perturbed initial conditions. The spread between members is a measure of forecast uncertainty: tight spread = high confidence, wide spread = low confidence. This actor computes member_min / member_max / member_mean / member_spread (null-safe) per timestep. icon_seamless returns ~39 members, gfs_seamless ~30.

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Input

Field	Type	Default	Description
mode	select	projections	projections or ensemble.
points	array	["52.5200,13.4050","40.7128,-74.0060"]	Points as "lat,lon" strings.
models	array	["EC_Earth3P_HR"] (proj) / ["icon_seamless"] (ens)	Model IDs (see lists above).
dailyVariables	array	["temperature_2m_max","temperature_2m_min","precipitation_sum"]	Projections only; each becomes a column.
hourlyVariable	string	temperature_2m	Ensemble only; the base variable whose spread is computed.
startDate	string	2020-01-01	Projections only (from 1950).
endDate	string	2050-12-31	Projections only (to 2050).
maxItems	integer	2000 (max 100000)	Hard cap on output rows.

Output

Projections (type: "climate_projection"):

{
  "type": "climate_projection",
  "latitude": 52.52, "longitude": 13.405,
  "model": "EC_Earth3P_HR",
  "date": "2020-01-01",
  "temperature_max_c": 11.7,
  "temperature_min_c": 8.0,
  "precipitation_mm": 4.02,
  "units": {"time": "iso8601", "temperature_2m_max": "°C", "precipitation_sum": "mm"},
  "source": "open-meteo-climate",
  "scraped_at": "2026-08-11T04:00:00Z"
}

Any extra requested dailyVariables are added as their own keys. Null values are kept null — never fabricated.

Ensemble (type: "ensemble"):

{
  "type": "ensemble",
  "latitude": 52.52, "longitude": 13.405,
  "model": "icon_seamless",
  "time": "2026-08-11T00:00",
  "variable": "temperature_2m",
  "member_count": 39,
  "member_min": 15.5, "member_max": 17.2,
  "member_mean": 16.41, "member_spread": 1.7,
  "members": [15.5, 16.1, "..."],
  "source": "open-meteo-ensemble",
  "scraped_at": "2026-08-11T04:00:00Z"
}

Use cases

• Climate risk analysis — quantify future heat, cold and precipitation extremes.
• Long-term planning — infrastructure, energy and water siting decisions to 2050.
• Agriculture — projected growing-season temperature and rainfall shifts.
• Insurance modelling — feed CMIP6 spread and ensemble uncertainty into risk models.

Related actors

• weather-scraper
• nasa-power-scraper
• flood-forecast-scraper
• marine-weather-scraper

Notes & attribution

Data © Open-Meteo.com, CC-BY 4.0. Free for non-commercial and commercial use within their fair-use limits; no API key needed.