ESA Gaia DR3 Star Catalog Scraper
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ESA Gaia DR3 Star Catalog Scraper
Tap the ESA Gaia DR3 archive for real stellar measurements by ADQL query or cone search. Each star returns its source ID, position, parallax, proper motion, G band magnitude, radial velocity, and effective temperature. Useful for astronomy research, target lists, and star maps.
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🌌 ESA Gaia DR3 Star Catalog Scraper
🚀 Pull real stellar measurements from the ESA Gaia DR3 archive in one run. Query by ADQL or a simple cone search and get back source IDs, sky positions, parallax, proper motion, photometry, radial velocity, and effective temperature for every star.
🕒 Last updated: 2026-06-05 · 📊 11 fields per record · billions of sources in Gaia DR3 · full-sky coverage
The ESA Gaia mission has measured the positions, distances, and motions of nearly two billion stars. The Gaia Data Release 3 (DR3) catalog is the richest map of the Milky Way ever assembled. This Actor talks to the official Gaia Archive TAP service and turns that catalog into clean, structured records you can drop straight into a notebook, a database, or a dashboard.
You can run an exact ADQL query against the gaiadr3.gaia_source table, or skip the query language entirely and search a circular patch of sky by right ascension, declination, and radius. Either way you get the same well-typed records back.
| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| Astronomers and astrophysics researchers | Building target lists for observing runs |
| Data scientists and ML practitioners | Training and testing stellar classification models |
| Educators and students | Teaching astrometry, parallax, and photometry |
| Science communicators and hobbyists | Mapping local stellar neighborhoods |
📋 What the Gaia DR3 Star Catalog Scraper does
This Actor queries the ESA Gaia DR3 archive and returns one record per stellar source. For each source it collects the unique Gaia source identifier, right ascension and declination, trigonometric parallax, proper motion in RA and Dec, mean magnitudes in the G, BP, and RP photometric bands, radial velocity, and the GSP-Phot effective temperature. You control the selection with either a full ADQL query or a cone search.
🎬 Full Demo (🚧 Coming soon)
⚙️ Input
| Field | Type | Required | Description |
|---|---|---|---|
adqlQuery | string | No | A full ADQL query against gaiadr3.gaia_source. Overrides the cone search when set. |
ra | integer | No | Cone center right ascension in degrees (0 to 360). |
dec | integer | No | Cone center declination in degrees (-90 to 90). |
radius | string | No | Cone radius in degrees, for example 0.1. |
maxItems | integer | No | Maximum records to return. Free plan is capped at 10. |
Example 1 — cone search around a patch of sky
{"ra": 45,"dec": 0,"radius": "0.1","maxItems": 50}
Example 2 — custom ADQL query
{"adqlQuery": "SELECT TOP 20 source_id, ra, dec, parallax, pmra, pmdec, phot_g_mean_mag, phot_bp_mean_mag, phot_rp_mean_mag, radial_velocity, teff_gspphot FROM gaiadr3.gaia_source WHERE parallax IS NOT NULL","maxItems": 20}
⚠️ Good to Know: the Gaia Archive synchronous service caps each query at roughly 2000 rows, so keep cone radii small and use
TOPin custom queries. Radial velocity and effective temperature are only measured for a subset of brighter, well-characterized stars, so those two fields are often null for faint sources. That is expected, not a bug.
📊 Output
| Field | Type | Description |
|---|---|---|
🆔 sourceId | string | Unique Gaia DR3 source identifier (kept as a string to preserve full 64-bit precision). |
📐 ra | number | Right ascension in degrees. |
📐 dec | number | Declination in degrees. |
📏 parallax | number | Trigonometric parallax in milliarcseconds. |
➡️ pmra | number | Proper motion in right ascension (mas/yr). |
⬆️ pmdec | number | Proper motion in declination (mas/yr). |
✨ photGMeanMag | number | Mean magnitude in the Gaia G band. |
🔵 photBpMeanMag | number | Integrated BP mean magnitude. |
🔴 photRpMeanMag | number | Integrated RP mean magnitude. |
🌀 radialVelocity | number | Radial velocity in km/s (null when not measured). |
🌡 teff | number | GSP-Phot effective temperature in Kelvin (null when not measured). |
🕒 scrapedAt | string | ISO timestamp of when the record was collected. |
❌ error | string | Error message, null on successful records. |
Real sample records
{"sourceId": "5188146087831728384","ra": 44.96061355952784,"dec": -0.06385449994739745,"parallax": 0.5875496627769571,"pmra": 7.72780001640072,"pmdec": -2.850661973997159,"photGMeanMag": 15.877191,"photBpMeanMag": 16.23885,"photRpMeanMag": 15.346017,"radialVelocity": null,"teff": 5591.2266,"scrapedAt": "2026-06-05T16:12:16.388Z","error": null}
{"sourceId": "5188146117896344448","ra": 44.965924658616835,"dec": -0.05586715308853149,"parallax": 0.06527682229940536,"pmra": 13.307380697609029,"pmdec": 5.73381569742609,"photGMeanMag": 20.262077,"photBpMeanMag": 21.602179,"photRpMeanMag": 18.898542,"radialVelocity": null,"teff": null,"scrapedAt": "2026-06-05T16:12:16.447Z","error": null}
{"sourceId": "5188146568868064768","ra": 44.961407043733274,"dec": -0.03320965054177338,"parallax": 0.43504893366604697,"pmra": 7.574971584312527,"pmdec": -13.324429895509663,"photGMeanMag": 17.123215,"photBpMeanMag": 17.582111,"photRpMeanMag": 16.49985,"radialVelocity": null,"teff": 4810.333,"scrapedAt": "2026-06-05T16:12:16.469Z","error": null}
✨ Why choose this Actor
- Talks directly to the official ESA Gaia Archive TAP service, so the data is authoritative and current with DR3.
- Accepts both ADQL power queries and plain cone searches, so beginners and experts are both covered.
- Preserves the full 64-bit
source_idas a string, so identifiers never get mangled by numeric rounding. - Returns clean, consistently typed fields ready for analysis.
- No API key required.
📈 How it compares to alternatives
| Approach | This Actor | Manual TAP queries | Bulk catalog downloads |
|---|---|---|---|
| Setup | None, just fill the form | Write ADQL and parse VOTable yourself | Download and process huge files |
| ADQL support | Yes | Yes | No |
| Cone search helper | Yes | Build it yourself | No |
| Structured records | Yes | Manual parsing | Manual parsing |
| ID precision safe | Yes | Depends on parser | Depends on parser |
🚀 How to use
- Sign up for a free Apify account using this link.
- Open the Gaia DR3 Star Catalog Scraper.
- Either enter a cone search (RA, Dec, radius) or paste a full ADQL query.
- Set how many records you want and start the run.
- Collect your structured stellar records when the run finishes.
💼 Business use cases
Research data pipelines
| Need | How this helps |
|---|---|
| Reproducible queries | Save query inputs and rerun anytime |
| Clean inputs for analysis | Receive typed records instead of raw VOTable |
Education and outreach
| Need | How this helps |
|---|---|
| Classroom datasets | Pull a small patch of sky for exercises |
| Live demonstrations | Show parallax and proper motion on real stars |
Machine learning
| Need | How this helps |
|---|---|
| Training data | Build labeled stellar samples by region |
| Feature engineering | Combine photometry, motion, and temperature |
Planetarium and visualization
| Need | How this helps |
|---|---|
| Star map building | Fetch positions and magnitudes for a sky region |
| Color rendering | Use BP and RP magnitudes for star colors |
🔌 Automating Gaia DR3 Star Catalog Scraper
Connect runs to Make, Zapier, Slack, Airbyte, GitHub, or Google Drive through Apify integrations and webhooks. Trigger a query on a schedule, then route the structured records into your warehouse, a spreadsheet, or a notification channel automatically.
🌟 Beyond business use cases
- Research: assemble custom stellar samples for a paper or thesis.
- Personal: explore the stars in your favorite constellation.
- Non-profit: power free planetarium and outreach tools.
- Experimentation: prototype astrometry and photometry ideas quickly.
🤖 Ask an AI assistant
Paste your records into ChatGPT, Claude, Perplexity, or Microsoft Copilot and ask it to summarize the stellar population, estimate distances from parallax, or sort sources by temperature.
❓ Frequently Asked Questions
Q: Do I need a Gaia or ESA account or API key? No. The Gaia Archive TAP service used here is open and keyless.
Q: Which catalog does this query?
Gaia Data Release 3, table gaiadr3.gaia_source.
Q: Can I write my own query? Yes. Provide a full ADQL query and it runs as written. The cone search is only used when no query is given.
Q: Why are radial velocity and temperature sometimes null? Those measurements only exist for a subset of brighter, well-characterized stars in DR3. Faint sources legitimately have no value.
Q: Why is the source ID a string and not a number? Gaia source IDs are 64-bit integers that exceed the safe range of standard numbers, so they are kept as strings to avoid rounding.
Q: How many records can I get per run?
The synchronous archive service caps each query near 2000 rows. Use a small radius or a TOP clause.
Q: How do I convert parallax to distance? Distance in parsecs is roughly 1000 divided by the parallax in milliarcseconds, for sources with reliable parallax.
Q: What units are used? Degrees for coordinates, milliarcseconds for parallax, mas/yr for proper motion, magnitudes for photometry, km/s for radial velocity, and Kelvin for temperature.
Q: Can I search a named star or region? Use the cone search with the RA and Dec of the region, or an ADQL query with your own constraints.
Q: Is the data live? Each run queries the archive directly, so results reflect the current DR3 catalog.
🔌 Integrate with any app
Apify connects to thousands of tools through its API, webhooks, and the integrations above, so your stellar records can flow into whatever system you already use.
🔗 Recommended Actors
- ParseForge collection for more open-data and catalog scrapers.
💡 Pro Tip: browse the complete ParseForge collection.
🆘 Need Help? Open our contact form
⚠️ Disclaimer: independent tool, not affiliated with ESA or the Gaia mission. Only publicly available archive data is collected.