🪐 NASA Exoplanet Archive Scraper

🚀 Export the confirmed planet catalogue in seconds. Pull from a live archive of 6,298 confirmed exoplanets with orbital, planetary and host star measurements in one structured feed.

The NASA Exoplanet Archive Scraper turns the official NASA Exoplanet Archive into a clean, structured dataset. It queries the archive's public TAP service and returns one canonical row per confirmed planet, complete with discovery details, orbital mechanics and host star properties.

Coverage spans every confirmed planet in the Planetary Systems table, from the first radial velocity detections to the latest TESS transits. Filter by detection method, discovery year, or host star name, and the actor builds a safe query against the archive so you only download the records you need.

🎯 Target Audience	💡 Primary Use Cases
Astronomers and astrophysics researchers	Building exoplanet datasets for analysis
Data scientists and ML engineers	Training and benchmarking models on planet data
Science educators and students	Classroom datasets and demonstrations
Science journalists and communicators	Fact-checking and sourcing discovery stats
Hobbyist astronomers and developers	Powering apps, dashboards and visualisations

📋 What the NASA Exoplanet Archive Scraper does

This actor connects to the NASA Exoplanet Archive Table Access Protocol (TAP) endpoint and pulls confirmed exoplanet records from the Planetary Systems table. For each planet it returns the planet name, host star, discovery method, discovery year, discovery facility, orbital period, planet radius and mass in Earth units, semi major axis, system distance in parsecs, stellar temperature, and the number of stars and planets in the system.

You can run it three ways. Leave the filters empty to get the most recently confirmed planets, pick a detection method such as Transit or Microlensing, set a discovery year, or name a single host star to retrieve its entire planetary system. Filters combine, so you can ask for every Microlensing planet confirmed in 2023.

📊 Data fields

Each record includes: discoveryFacility, discoveryMethod, discoveryYear, distanceParsecs, hostName, numPlanetsInSystem, orbitalPeriodDays, planetMassEarth, planetName, planetRadiusEarth, results, scrapedAt, sourceUrl. 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 for a free Apify account using this link.
2. Open the NASA Exoplanet Archive Scraper in the Apify Console.
3. Choose a discovery method, year, or host star, or leave the filters empty for recent planets.
4. Set how many records you want and click Start.
5. When the run finishes, open the dataset to review and use your exoplanet records.

🔗 Recommended Actors

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• arXiv Scraper

💡 Pro Tip: browse the complete ParseForge collection.

⚠️ Disclaimer: independent tool, not affiliated with NASA or the NASA Exoplanet Archive. Only publicly available data 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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