🛫 Trade-A-Plane Scraper

🚀 Export Trade-A-Plane listings in seconds. Category, make, model, year, price, hours, location, seller type, and gallery images in one clean dataset.

🕒 Last updated: 2026-06-05 · 📊 13 fields per listing · US-wide aircraft inventory · Piston, turboprop, jets, helicopters, parts · Live trade-a-plane.com results

The Trade-A-Plane Scraper turns any trade-a-plane.com search into a clean dataset. Pick a category, filter by make, model, and price band, and the actor walks every result page and flattens each listing into one row.

🎯 Target Audience	💡 Primary Use Cases
🛩️ Aircraft brokers	Track US inventory across categories
🏢 MRO and parts dealers	Monitor parts and engine listings
📊 Aviation analysts	Build pricing trend datasets
👨‍✈️ Private buyers	Compare hundreds of listings in one sheet
📰 Journalists	Track the used aircraft market
👩‍💻 Developers	Mirror Trade-A-Plane inventory into your app

📋 What the Trade-A-Plane Scraper does

• Builds the Trade-A-Plane search URL from category, make, model, and price band.
• Walks every result page up to your maxItems cap.
• Parses each card for title, year, price, hours, location, and gallery images.
• Detects the Trade-A-Plane listing ID from the URL.
• Surfaces upstream errors as clean records.

💡 Why it matters: Trade-A-Plane is the largest US aviation marketplace, but the inventory is only available behind paginated HTML. This actor flattens it into one tidy dataset.

🎬 Full Demo

🚧 Coming soon.

⚙️ Input

Field	Type	Required	Description
category	enum	No	aircraft, piston-single, turboprop, jet, parts, engines, etc.
maxItems	integer	No	Free 10, paid up to 1,000,000.
make	string	No	Cessna, Piper, Beechcraft, etc.
model	string	No	172, Bonanza, etc.
minPrice	integer	No	Min price in USD.
maxPrice	integer	No	Max price in USD.

Example 1, Cessna 172 listings:

{ "category": "piston-single-aircraft", "make": "Cessna", "model": "172", "maxItems": 100 }

Example 2, turboprops under 1.5M:

{ "category": "turboprop-aircraft", "maxPrice": 1500000, "maxItems": 50 }

⚠️ Good to Know: Trade-A-Plane lists US-based aircraft, parts, engines, and avionics. Prices are in USD.

📊 Output

Field	Type	Description
🏷️ category	string	Search category.
🏭 make	string	Manufacturer.
✈️ model	string	Model and headline.
📅 year	number	Year of manufacture.
💵 price	number	Asking price in USD.
⏱️ hours	number	Total time hours when shown.
📍 location	string	Listing location.
🧑‍💼 seller_type	string	Dealer or private seller.
🔖 listing_id	string	Trade-A-Plane listing ID.
🖼️ images	string[]	Gallery image URLs.
🔗 url	string	Listing URL.
🕒 scrapedAt	string	ISO timestamp.
❌ error	string	Set if upstream errored.

✨ Why choose this Actor

| 🇺🇸 | Full US Trade-A-Plane catalog in one sweep. | | 🧹 | Clean numeric price and hours columns. | | 🛟 | Clean error record on upstream issues. | | 🏷️ | Filter by category, make, model, price band. | | 🖼️ | Gallery URLs ready for downstream pipelines. | | 💾 | Push to dataset, then download in tabular or structured formats. |

📈 How it compares to alternatives

Approach	Setup time	Pagination	Numeric price
Manual copy-paste	Hours	Manual	Manual
Roll your own scraper	4 hours plus	DIY	DIY
This Actor	5 sec, no install	Automatic	Yes

🚀 How to use

1. Click Try for free.
2. Pick a category, make, and model.
3. Optionally clamp the price band.
4. Click Start. The dataset is ready in seconds.

💼 Business use cases

🛩️ Broker dashboards. Monitor competitor inventory daily.

📊 Pricing analytics. Track average asking price by model and year.

🏢 Parts sourcing. Filter engine and parts listings by category.

🤖 ML training. Build aircraft-pricing models on real listing data.

🔌 Automating Trade-A-Plane Scraper

• Make and Zapier, push new listings to Slack or Airtable.
• Cron schedule, run nightly.
• Webhooks, get a POST when the run finishes.
• Pipe to BigQuery, Snowflake, or Postgres, native Apify integrations move datasets straight into your warehouse.

🌟 Beyond business use cases

🎓 Education. Use real aircraft pricing data in coursework.

🧪 Personal research. Hunt for your next plane without manual scrolling.

🤝 Non-profit. Track aviation market trends.

🧰 Tinkering. Prototype an aviation marketplace aggregator.

🤖 Ask an AI assistant about this scraper

Drop this README into ChatGPT, Claude, or any AI assistant and ask it to map your specific workflow to the actor's inputs.

❓ Frequently Asked Questions

❓ Is this scraping or API? HTML scraping of the public Trade-A-Plane search.

❓ How fresh is the data? As fresh as Trade-A-Plane serves it.

❓ Are prices in USD? Yes.

❓ Can I filter by make and model? Yes.

❓ Does it follow detail pages? Card-level fields only by default.

❓ How are errors handled? Upstream errors become a clean record with error populated.

❓ Will the schema change? Card-level fields are stable.

❓ Can I schedule runs? Yes.

❓ What download formats are supported? All formats Apify dataset export supports.

❓ Is residential proxying used? Yes, US residential proxies are used.

🔌 Integrate with any app

Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST API or webhook endpoint.

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💡 Pro Tip: browse the complete ParseForge collection for 900+ production-grade scrapers across business intelligence, real estate, e-commerce, sports, finance, and public records.

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