US Aircraft For-Sale Snapshot — $250k–$350k (Apr 2026)
About this data
Point-in-time snapshot of 66 US-located aircraft for-sale listings priced between $250,000 and $350,000, scraped from Barnstormers.com on 2026-04-25 UTC. Each row captures make/model, year, asking price, location (city/state/zip), broker or seller contact info, posted date, free-text condition summary and (when distinct) full long-form description, photo URLs, and best-effort extracted spec fields (total time, SMOH, engine, useful load) where present in the listing description. Hangars and other non-aircraft real estate are excluded. Top states by listing count: FL (15), CA (10), NV (6), MN (5), AZ (5). Price range $250,000–$350,000 with a median of $299,000. Delivered as a single CSV (25 columns, 66 rows). Single point-in-time snapshot — no freshness guarantee; aviation listings turn over within days. Useful for market analysis, broker benchmarking, and aircraft-buyer research in the owner-flown / light-twin / experimental price band.
Schema
| Name | Type | Description |
|---|---|---|
| ad_id | string | |
| title | string | |
| year | string | |
| registration | string | |
| price_usd | string | |
| status | string | |
| city | string | |
| state | string | |
| zip | string | |
| country | string | |
| contact_name | string | |
| company | string | |
| role | string | |
| posted_date | string | |
| summary | string | |
| full_description | string | |
| total_time_hours | string | |
| ttaf_hours | string | |
| smoh_hours | string | |
| snew_hours | string | |
| useful_load | string | |
| engine | string | |
| image_count | string | |
| image_urls | string | |
| url | string |
Sample Data
Download a free sample to inspect the data before purchasing.
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: "US Aircraft For-Sale Snapshot " })
// Found: 1039b0e6-a240-4fb3-8821-39ed5757d494
buy_now({ dataset_id: "1039b0e6-a240-4fb3-8821-39ed5757d494" }) // uses your saved card# Authenticate with your API key:
curl https://api.databazaar.io/datasets/1039b0e6-a240-4fb3-8821-39ed5757d494 \
-H "Authorization: Bearer YOUR_API_KEY"
# Purchase:
curl -X POST https://api.databazaar.io/purchases \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"dataset_id": "1039b0e6-a240-4fb3-8821-39ed5757d494"}'