NASA Exoplanet Archive Scraper
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from $7.50 / 1,000 results
NASA Exoplanet Archive Scraper
Scrapes confirmed exoplanet data from the NASA Exoplanet Archive. Returns each exoplanet as a flat row with orbital period, radius, mass, discovery method, and host star details.
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from $7.50 / 1,000 results
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ParseForge
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NASA Exoplanet Archive Scraper
Scrape NASA Exoplanet Archive data for any confirmed planet, up to a million rows per run. Each row includes orbital period, radius, mass, discovery method, and host star details. No API key or login. Export to CSV, JSON, Excel, or XML.
The NASA Exoplanet Archive is the authoritative catalog of confirmed exoplanets, but its web interface and TAP service require manual queries or code. This Actor reads the archive directly, applies your ADQL where clause, and returns each matching exoplanet as a flat row. You get the same data scientists use, without writing a single query.
| Who uses it | What they scrape NASA Exoplanet Archive for |
|---|---|
| Astronomy researchers | Building a clean dataset of exoplanets for statistical analysis |
| Science journalists | Finding recently discovered exoplanets for a story |
| Educators | Creating a classroom dataset of confirmed exoplanets |
| Data analysts | Enriching a project with up-to-date exoplanet parameters |
What it does
This Actor collects exoplanet records from the NASA Exoplanet Archive based on your optional ADQL where clause and returns each one as a flat row.
- 🔭 Direct archive access: reads the NASA Exoplanet Archive TAP service, no API key or registration.
- 📊 Flat row output: every exoplanet becomes one row with consistent columns for easy import.
- 🧮 ADQL filtering: pass a where clause like disc_year > 2020 to get only recent discoveries.
- 📦 Bulk export: collect up to 1,000,000 exoplanets per run and export to CSV, JSON, Excel, or XML.
Results export to CSV, JSON, Excel, or XML, or straight from the API.
What you can do with NASA Exoplanet Archive data
🔭 Track new exoplanet discoveries.
A researcher runs the Actor weekly with disc_year > 2023 to get every newly confirmed exoplanet for a monitoring dashboard.
📊 Build a research dataset.
An astronomy student collects all exoplanets with known radii and masses to study the radius-mass relation.
🌍 Find potentially habitable planets.
A science writer filters for planets in the habitable zone to compile a list of Earth-like candidates.
🏫 Create teaching materials.
An educator downloads a curated set of exoplanets for a classroom exercise on data analysis.
Why choose this scraper
| What you get | |
|---|---|
| No API key | The NASA Exoplanet Archive TAP service is public and requires no authentication. |
| Up-to-date | Every run pulls the latest confirmed exoplanet records from the archive. |
| Flexible filtering | Use standard ADQL to filter by discovery year, method, host star, or any archive column. |
| Scalable | Collect from 1 to 1,000,000 exoplanets in a single run. |
How it compares
This Actor focuses on raw, unfiltered access to the NASA Exoplanet Archive with ADQL filtering, while the competitors offer pre-built search options or a simpler field set.
| Feature | ParseForge | NASA Exoplanet Archive Scraper | Nasa Exoplanet Scraper |
|---|---|---|---|
| ADQL where clause filtering | Yes | Not listed | Not listed |
| Search by host star | Yes, via where clause | Yes | Not listed |
| Filter by discovery method | Yes, via where clause | Yes | Not listed |
| Find potentially habitable planets | Yes, via where clause on orbital period or flux | Yes | Not listed |
| Orbital periods, radii, masses | Yes | Not listed | Yes |
| No API key required | Yes | Yes | Yes |
Configure the run
Drive the Actor with an optional ADQL where clause and a maximum item count. The where clause is forwarded to the archive so only matching exoplanets reach your dataset. The Input tab lists every parameter.
A first run with the defaults:
A larger pull:
Pricing
Pay-per-result: $0.0085 per result collected. You pay only for the results written to your dataset.
| Results collected | Approximate cost |
|---|---|
| 100 results | $0.85 |
| 1,000 results | $8.50 |
| 10,000 results | $85.00 |
New Apify accounts start with $5 in free credit.
Free users
Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.
Run it
- Create a free Apify account with $5 in credit.
- Open the NASA Exoplanet Archive Scraper.
- Set your inputs and any filters, then click Start.
- Export the results as CSV, Excel, JSON, or XML from the Dataset tab.
Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.
Use with AI agents (MCP)
Give an AI agent live access to NASA Exoplanet Archive through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:
Then prompt it in plain language to run the scraper and read back the results.
Troubleshooting
Why am I getting no results?
Your where clause may be too restrictive or contain a syntax error. Try removing the where clause and setting a small maxItems to confirm the Actor works, then refine your filter.
The run fails with a TAP error.
Check your ADQL syntax. Column names must match the archive's schema exactly. Refer to the NASA Exoplanet Archive documentation for valid column names.
I got fewer results than maxItems.
That means the archive returned fewer matching exoplanets than your limit. Your where clause may be filtering out most records.
The dataset has unexpected columns.
The Actor returns the archive's default column set. If you need additional columns, contact support to request a custom field list.
FAQ
| Question | Answer |
|---|---|
| Do I need an API key for the NASA Exoplanet Archive? | No. The archive's TAP service is public and requires no authentication. This Actor uses that public endpoint. |
| What is an ADQL where clause? | ADQL is the Astronomical Data Query Language, similar to SQL. You can write conditions like disc_year > 2020 or pl_orbper < 10 to filter exoplanets. |
| How many exoplanets can I scrape in one run? | You can set maxItems from 1 to 1,000,000. The Actor will stop after collecting that many matching records. |
| What columns are returned for each exoplanet? | The Actor returns the standard columns from the archive's confirmed planets table, including planet name, host star, orbital period, radius, mass, discovery method, and discovery year. |
| Can I filter by host star name? | Yes. Use a where clause like hostname = 'Kepler-186' to get only planets around that star. |
| Can I get only potentially habitable exoplanets? | The archive does not have a single habitable flag, but you can filter on orbital period or stellar flux using ADQL to approximate the habitable zone. |
| Is the data from the NASA Exoplanet Archive free to use? | Yes. NASA Exoplanet Archive data is public domain and can be used for research, education, or commercial projects. |
| What export formats are supported? | You can export the results as CSV, JSON, Excel, or XML from the Apify dataset. |
| How often is the archive updated? | The NASA Exoplanet Archive is updated regularly as new exoplanets are confirmed. Each run of this Actor fetches the latest data. |
| Can I schedule this Actor to run automatically? | Yes. Use Apify's scheduler to run it daily, weekly, or on any cron schedule. |
Related actors
Browse the full ParseForge collection for more scrapers.
🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.
⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by NASA Exoplanet Science Institute. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.
