Actions44
- Contact Actions
- Aircraft Actions
- Get
- Get List
- Get by Registration
- Get Identification
- Get Status
- Get Maintenance
- Get Flights
- Get APU
- Get Avionics
- Get Engine
- Get Airframe
- Get Additional Equipment
- Get Features
- Get Interior
- Get Exterior
- Get Leases
- Get Company Relationships
- Get Pictures
- Get Bulk Aircraft Export Paged
- Get Condensed Owner Operators Paged
- Get Event List Paged
- Get History List Paged
- Company Actions
- Market Actions
Overview
This node integrates with the JetNet API to retrieve detailed aviation market intelligence data, specifically focusing on aircraft model operation costs when using the "Market" resource with the "Get Model Operation Costs" operation. It allows users to query operational cost metrics for various aircraft models based on multiple filtering criteria such as airframe type, make, model, manufacturing year, and category size.
Typical use cases include:
- Aviation analysts seeking to compare operating costs across different aircraft models.
- Financial planners in aviation companies estimating expenses related to specific aircraft types.
- Market researchers analyzing trends in aircraft operational economics.
For example, a user could filter to get operation costs for fixed-wing business jets manufactured between 2015 and 2020 from specific manufacturers like Gulfstream or Boeing.
Properties
| Name | Meaning |
|---|---|
| Airframe Type | Type of airframe to filter by. Options: None, Fixed Wing, Rotary. |
| Make Type | Type of aircraft make to filter by. Options: None, Business Jet, Turboprop, Piston, Jet Airliner, Turbo Helicopter, Piston Helicopter. |
| Make | List of aircraft makes to filter (e.g., GULFSTREAM, BOEING). Multiple values allowed. |
| Model | List of aircraft models to filter (e.g., G550, BBJ3). Multiple values allowed. |
| Model ID | Specific numeric model ID to filter by. |
| Year Manufactured | Year manufactured filter; can be a single year (e.g., "2020") or a range (e.g., "2015:2020"). |
| Year Delivered | Year delivered filter; can be a single year or a range similar to Year Manufactured. |
| Category Size | List of category sizes to filter by (e.g., MJ, ABJ, LGULR). Multiple values allowed. |
These properties are provided inside an "Additional Fields" collection parameter that is sent as the request body to the API.
Output
The output JSON structure corresponds directly to the response from the JetNet API endpoint /api/Model/getModelOperationCosts. This typically includes detailed operational cost data for aircraft models matching the specified filters. The exact fields depend on the API but generally cover cost categories such as fuel, maintenance, crew, and other operating expenses.
If multiple results are returned, each item is output as a separate JSON object in the node's output array.
No binary data output is indicated for this operation.
Dependencies
- Requires an active connection to the JetNet API service.
- Requires an API authentication token credential configured in n8n to authorize requests.
- The base URL used is
https://customer.jetnetconnect.com. - The node sends POST requests with JSON bodies containing the filter parameters.
Troubleshooting
Common issues:
- Missing or invalid API authentication token will cause authorization errors.
- Incorrectly formatted filter parameters (e.g., invalid date ranges) may result in API errors or empty responses.
- Network connectivity problems can prevent successful API calls.
Error messages:
- Authorization failures typically return HTTP 401 or 403 errors; ensure the API key credential is valid and has necessary permissions.
- Validation errors from the API may indicate which filter parameter is incorrect; review the input values carefully.
- If the node throws a generic error, enabling "Continue On Fail" can help process subsequent items without stopping the workflow.
Links and References
- JetNet official API documentation (not included here; refer to your JetNet account resources)
- n8n documentation on creating and using API credentials
- Aviation industry resources for understanding aircraft operational costs