Cirrus SR22 USA For-Sale Listings
May 4–19, 2026
$19.99
Fixed price
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Source, license and coverage
Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.
- License
- Not documented — confirm reuse terms with the seller
- Source / creator
- Not documented
- Collection method
- Supplier datacard: scraped aircraft listings from Controller, Trade-A-Plane, GlobalAir and Barnstormers, deduplicated by N-number and joined to FAA Aircraft Registry and NTSB records.
- Coverage / snapshot
- May 4–19, 2026
- Data last updated
- 2026-05-19
- Update schedule
- Point-in-time snapshot; seller offers refreshed snapshots separately
Preview contains a bounded selection from archive entry data.csv; it does not represent every file in the bundle. Rows are evenly spaced within the inspected input, subject to the preview byte budget; this is not a new random sample of the full dataset. The datacard records a 2026-05-19 snapshot. Aircraft photos remain copyrighted by their respective sellers/photographers; the bundle does not document a blanket reuse license. Delivery is a ZIP with data, documentation and images.
Sample structure score: 89.2 / 100
This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.
Assessed 10 sample records (JSON) on 2026-10-09. All records in the provided sample were checked.
| Check | Points | Evidence |
|---|---|---|
| Populated cells | 39.3 / 50 | 369 of 470 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated. |
| Consistent value types | 29.9 / 30 | 368 of 369 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth. |
| Consistent record shape | 20 / 20 | 10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys. |
Field-level findings and improvements
Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.
| Field | Missing cells | Most common type | Other populated types |
|---|---|---|---|
| listing_id | 0 / 10 | string | 0 / 10 |
| source | 0 / 10 | string | 0 / 10 |
| sources_combined | 0 / 10 | string | 0 / 10 |
| source_url | 0 / 10 | string | 0 / 10 |
| source_urls_all | 0 / 10 | string | 0 / 10 |
| scraped_at | 0 / 10 | string | 0 / 10 |
| year | 0 / 10 | number | 0 / 10 |
| model_variant | 0 / 10 | string | 0 / 10 |
| registration_n_number | 0 / 10 | string | 0 / 10 |
| serial_number | 0 / 10 | number | 1 / 10 |
| asking_price_usd | 0 / 10 | number | 0 / 10 |
| total_time_airframe_hours | 0 / 10 | number | 0 / 10 |
| engine_time_smoh_hours | 10 / 10 | unknown | 0 / 0 |
| useful_load_lbs | 7 / 10 | number | 0 / 3 |
| avionics | 5 / 10 | string | 0 / 5 |
| autopilot | 5 / 10 | string | 0 / 5 |
| parachute_repack_due | 9 / 10 | string | 0 / 1 |
| annual_due | 6 / 10 | string | 0 / 4 |
| damage_history | 10 / 10 | unknown | 0 / 0 |
| location_city | 0 / 10 | string | 0 / 10 |
| location_state | 0 / 10 | string | 0 / 10 |
| location_country | 0 / 10 | string | 0 / 10 |
| location_raw | 5 / 10 | string | 0 / 5 |
| in_usa | 0 / 10 | boolean | 0 / 10 |
| dealer_or_seller_name | 9 / 10 | string | 0 / 1 |
| listing_title | 0 / 10 | string | 0 / 10 |
| photos_count | 0 / 10 | number | 0 / 10 |
| listing_id_native | 0 / 10 | number | 0 / 10 |
| _conflict_fields | 10 / 10 | unknown | 0 / 0 |
| raw_description | 5 / 10 | string | 0 / 5 |
| photo_count_local | 3 / 10 | number | 0 / 7 |
| photo_dir | 3 / 10 | string | 0 / 7 |
| faa_owner_name | 0 / 10 | string | 0 / 10 |
| faa_registrant_type | 0 / 10 | string | 0 / 10 |
| faa_owner_city | 0 / 10 | string | 0 / 10 |
| faa_owner_state | 0 / 10 | string | 0 / 10 |
| faa_year_mfr | 0 / 10 | number | 0 / 10 |
| faa_cert_class | 0 / 10 | string | 0 / 10 |
| faa_status | 0 / 10 | string | 0 / 10 |
| faa_cert_issue_date | 0 / 10 | number | 0 / 10 |
| faa_last_action_date | 0 / 10 | number | 0 / 10 |
| faa_expiration_date | 0 / 10 | number | 0 / 10 |
| faa_airworth_date | 0 / 10 | number | 0 / 10 |
| faa_mode_s_hex | 0 / 10 | string | 0 / 10 |
| ntsb_event_count | 0 / 10 | number | 0 / 10 |
| ntsb_last_event_date | 7 / 10 | string | 0 / 3 |
| ntsb_events_json | 7 / 10 | string | 0 / 3 |
About this data
Pre-owned Cirrus SR22 aircraft listed across four major marketplaces, deduplicated by N-number and matched to FAA Registry and NTSB event history. Records include 47 structured fields covering price, flight hours, avionics, damage history, and location, accompanied by 10,816 listing photographs.
Retrieve with your agent or Python
Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.
Download the Python examplepython3 retrieve-dataset.py d1e0aa9b-38a0-4ebd-a89c-6a299a44f2e2 --output dataset.bin
Full supplier documentation
Schema
| Name | Type | Description |
|---|---|---|
| listing_id | string | Internal unique listing identifier |
| source | string | Primary source site |
| sources_combined | string | All source sites this aircraft appeared on |
| source_url | string | Primary source listing URL |
| source_urls_all | string | All source URLs (semicolon-separated) |
| scraped_at | string | ISO timestamp of scrape |
| year | number | Year of manufacture |
| model_variant | string | SR22 variant (G2/G3/G5/G6/G7, T-suffix = factory turbo) |
| registration_n_number | string | FAA N-number (US tail) |
| serial_number | number | Manufacturer serial number |
| asking_price_usd | number | Asking price in USD |
| total_time_airframe_hours | number | Total time, airframe (hours) |
| engine_time_smoh_hours | unknown | Time since major overhaul |
| useful_load_lbs | number | Useful load (lbs) |
| avionics | string | Avionics suite description (raw) |
| autopilot | string | Autopilot description (raw) |
| parachute_repack_due | string | CAPS parachute repack due date |
| annual_due | string | Next annual inspection due |
| damage_history | unknown | Damage history flag (raw) |
| location_city | string | Listing location city |
| location_state | string | Listing location US state |
| location_country | string | Country |
| location_raw | string | Raw location string from source |
| in_usa | boolean | Boolean: aircraft confirmed US-located |
| dealer_or_seller_name | string | Seller / dealer name |
| listing_title | string | Source listing title |
| photos_count | number | Photos reported by source |
| listing_id_native | number | Source-native listing ID |
| _conflict_fields | unknown | Fields where sources disagreed |
| raw_description | string | Raw listing description text |
| photo_count_local | number | Photos downloaded to bundle |
| photo_dir | string | Bundle path for photos |
| faa_owner_name | string | Current owner of record per FAA |
| faa_registrant_type | string | FAA registrant type code |
| faa_owner_city | string | FAA owner city |
| faa_owner_state | string | FAA owner state |
| faa_year_mfr | number | FAA-recorded year of manufacture |
| faa_cert_class | string | FAA certificate class |
| faa_status | string | FAA registration status |
| faa_cert_issue_date | number | Certificate issue date |
| faa_last_action_date | number | Last FAA action date |
| faa_expiration_date | number | Registration expiration date |
| faa_airworth_date | number | FAA airworthiness date (use as filter for NTSB joins) |
| faa_mode_s_hex | string | Mode-S hex code (for ADS-B joins) |
| ntsb_event_count | number | Number of NTSB events linked by N-number |
| ntsb_last_event_date | string | Last NTSB event date |
| ntsb_events_json | string | NTSB events array (JSON; filter by date >= faa_airworth_date) |
Sample Data
Download a free sample to inspect the data before purchasing.
Public sample only. Sign in to retrieve the full dataset, including free datasets.
For AI Agents
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
"mcpServers": {
"databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
}
}
# 2. Your agent can then call:
search_datasets({ query: "Cirrus SR22 USA For-Sale Listi" })
// Found: d1e0aa9b-38a0-4ebd-a89c-6a299a44f2e2
buy_now({ dataset_id: "d1e0aa9b-38a0-4ebd-a89c-6a299a44f2e2" }) // uses your saved card# Authenticate with your API key:
curl https://api.databazaar.io/datasets/d1e0aa9b-38a0-4ebd-a89c-6a299a44f2e2 \
-H "Authorization: Bearer YOUR_API_KEY"
# Purchase:
curl -X POST https://api.databazaar.io/datasets/d1e0aa9b-38a0-4ebd-a89c-6a299a44f2e2/buy \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"dataset_id": "d1e0aa9b-38a0-4ebd-a89c-6a299a44f2e2"}'