☀️ NASA POWER Solar & Weather Data Scraper

🚀 Export NASA satellite-derived solar, weather, and renewable-energy data for any point on Earth. 26 parameters, 4 temporal granularities, 45+ years of history (1981 to present). No login, no quota juggling, no parser engineering.

The NASA POWER Scraper turns NASA's Prediction Of Worldwide Energy Resources dataset into clean records you can drop into a solar feasibility model, irrigation schedule, climate study, or HVAC sizing tool. Each output row carries the location, elevation, time period, and the parameter values you requested. POWER is maintained by NASA Langley Research Center and is the same dataset cited in thousands of renewable-energy and agro-climate papers.

Coverage spans the entire globe at 0.5° x 0.5° resolution (down to 0.25° for some products), with daily values from 1981, monthly values from 1981, climatological long-term means, and hourly values from 2001. Parameters include shortwave and longwave irradiance, direct-normal and diffuse components, air and surface temperature, dew point, wet-bulb, humidity, wind speed and direction at 2 m / 10 m / 50 m, surface pressure, precipitation, heating and cooling degree days, and frost days.

🎯 Target Audience	💡 Primary Use Cases
Solar developers, agri-tech engineers, climate researchers, HVAC and building-science teams, EV charging planners, wind analysts, civil engineers, GIS analysts	Solar siting and yield modelling, evapotranspiration calculations, climate normals, building-load simulations, wind resource scoping, drought monitoring

📋 What the NASA POWER Scraper does

Four temporal modes plus multi-point batch:

• ☀️ Daily values. One record per day per location, 1981 to present.
• 📅 Monthly values. One record per month per location, 1981 to present.
• 🌐 Climatology. Long-term monthly and annual means.
• ⏰ Hourly values. One record per hour per location, 2001 to present.
• 📍 Multi-point batch. Pass an array of lat/lng pairs to pull every location in one run.

Pick the community (Renewable Energy, Sustainable Buildings, or Agro-climatology) and the parameters you need from a catalog of 26 variables. Units are switchable between metric (SI) and imperial.

💡 Why it matters: building a solar or climate model means stitching together gridded climate sources, handling missing-value sentinels, converting units, and rebuilding the loader every time NASA versions the dataset. This Actor returns flat, unit-tagged records every run.

📊 Data fields

Each record includes: community, date, elevation, latitude, longitude, name, parameters, period, scrapedAt, sourceUrl, temporal, unitsFormat. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the NASA POWER Solar & Weather Data Scraper page on the Apify Store.
3. 🎯 Set input. Pass your point list, pick a temporal mode, choose parameters and a date range.
4. 🚀 Run it. Click Start and let the Actor query NASA for every location.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to a downloaded climate dataset: 3-5 minutes. No coding required.

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💡 Pro Tip: browse the complete ParseForge collection for more open-data scrapers.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by NASA, NASA Langley Research Center, or any government agency. All trademarks mentioned are the property of their respective owners. Only publicly available open climate data is collected.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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