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Windguru Forecast DataAgent

Continuously collects wind and wave forecast data from Windguru to build an irreplaceable historical forecast archive.

Why This Matters

Weather forecast data is ephemeral - sites like Windguru overwrite predictions constantly. No one archives what the forecast was - only what actually happened. This DataAgent captures forecasts before they disappear, building a dataset that:

• Shows forecast accuracy over time
• Enables "what was predicted vs what happened" analysis
• Creates a competitive moat (no one else has this data)

Scheduled Runs

Run every 6 hours via Apify Schedules:

• Cron: 0 0,6,12,18 * * *
• This captures 4 snapshots per day of the evolving forecast

Input

Priority Spots (Default)

Output Schema

{
"capturedAt":"2026-01-26T14:30:00Z",
"forecastDate":"2026-01-28",
"forecastHour":15,
"hoursAhead":48,
"spotId":"43",
"spotName":"Tarifa, Spain",
"windSpeed":25,
"windGusts":32,
"windDirection":110,
"waveHeight":1.2,
"wavePeriod":8,
"waveDirection":270,
"temperature":18,
"cloudCover":20,
"precipitation":0,
"forecastModel":"GFS",
"source":"windguru"
}

Local Testing

cd /home/peteylinux/Projects/Apify/dataagents/windguru-forecast-agent
npminstall
mkdir-p storage/key_value_stores/default
echo'{"spots": ["43"]}'> storage/key_value_stores/default/INPUT.json
npm start

Deploy to Apify

cd /home/peteylinux/Projects/Apify/dataagents/windguru-forecast-agent
apify push

Then configure a schedule in Apify Console.

Supabase Schema

If using Supabase, create this table:

CREATETABLE forecasts (
 id SERIALPRIMARYKEY,
 source VARCHAR(50)NOTNULL,
 captured_at TIMESTAMPTZ NOTNULL,
 forecast_date DATE,
 hours_ahead INTEGER,
 location_id VARCHAR(100),
 location_name VARCHAR(200),
 wind_speed DECIMAL(5,1),
 wind_gusts DECIMAL(5,1),
 wind_direction INTEGER,
 wave_height DECIMAL(4,1),
 wave_period DECIMAL(4,1),
 wave_direction INTEGER,
 temperature INTEGER,
 cloud_cover INTEGER,
 precipitation DECIMAL(5,1),
 forecast_model VARCHAR(50),
 raw_json JSONB,
 created_at TIMESTAMPTZ DEFAULTNOW()
);
CREATEINDEX idx_forecasts_lookup ON forecasts(source, location_id, forecast_date);
CREATEINDEX idx_forecasts_captured ON forecasts(source, captured_at);