UTC 03:33

AirNav RadarBox On-Demand API Series: Airspace Data

The Image Above: AirNav RadarBox API displayed on the computer screen

AirNav RadarBox On-Demand API (ODAPI) allows for real-time, scheduled, or historical flight data to be effortlessly integrated into client applications on an as-needed volume basis.

This data is aggregated by our ground and space-based ADS-B network and includes over 70 data fields such as Flight Number, Call sign, Registration, Scheduled and Actual Departure & Arrival Times, Aircraft Speed, Altitude, and other flight parameters.

Why do customers love our API Solutions?

  1. Credit-per-query pricing - Pay only for what you use.
  2. Developer-Friendly API - Seamless integration into client applications.
  3. Starts at 10,000 credits/mo. - Affordability with the option to upgrade credits.
  4. Flight data from 12+ sources - Ensuring accuracy through redundancy.
  5. 24/7 Client Support - 365 days priority email and phone support.

Documentation, SDK Download & Data Sources 

For more information on documentation, pricing, downloading our client SDK, and data sources, please visit -  https://www.radarbox.com/api/documentation

Airspace Data

This week's RadarBox API focus is on airspace data such as NOTAMs (Notice To Airmen), NAT (North Atlantic Tracks), and PAC (Pacific Organized Track System - PACOTS).

The Image Above: Screenshot of Airspace from the API Documentation page

1. NOTAM issued for Los Angeles International Airport on 13th September 2021

The Image Above: Screenshot of Airspace Data from the API Documentation page

NOTAMs (Notice To Airmen) are a way for local aviation authorities aviation authority to alert aircraft pilots of potential hazards along a flight route or at a specific location.

2. NAT (North Atlantic Tracks)

The Image Above: Screenshot of Airspace Data from the API Documentation page

The North Atlantic Tracks are high altitude routes across the Atlantic between Western Europe and North America. These tracks are updated daily. 

3. PAC (Pacific Organized Track System - PACOTS)

The Image Above: Screenshot of Airspace Data from the API Documentation page

Pacific Organized Track System describes the set of routes across the Pacific between Hawaii or North America and Japan/South-east Asia - updated daily. 

How to use RadarBox On-Demand API

Getting your free token

You get a free token with your business account, which will give you enough credit to play. You can find yours by navigating to your API Dashboard. Once you have it, open up the API documentation in a new tab so you can keep reading the how-to guide here

Step-by-step guide

1. Authenticate

Authentication

The Image Above: Screenshot of Airspace Data from the API Documentation page

The steps below will show how easy it is to interact with the API. On the documentation page, you'll be able to scroll through the specs. Every call needs to be authenticated so you need to put the token you wish to use in context. Simply insert the token in the designated form and hit "Save" button. From here on, all service calls will be associated to your account.

2. View all available services

The Image Above: Screenshot of Airspace Data from the API Documentation page

In the left menu, you can find a list of the available services. Clicking on each one will take you to the endpoint details, where you can find information such as required parameters and the detailed format of the response.

3. Enter testing mode

Try out button

The Image Above: Screenshot of Airspace Data from the API Documentation page

Click the “Try out” button which will activate the test mode and you will be able to submit live requests.

Try out screen

The Image Above: Screenshot of Airspace Data from the API Documentation page

Once you’re in test mode, you will have the request spec on the center column and a text box with the payload of your request on the right. It will be pre-filled with test values which you will need to customize.

4. Sample test case

One of the simplest scenarios is trying to find out what the current position of a specific aircraft is.

Sample payload

The Image Above: Screenshot of Airspace Data from the API Documentation page

We have edited the sample payload stripping everything except our criteria: get the current position for the aircraft with tail number G-TTNG. After hitting the “Send Request” button we should get a response within seconds. If all goes smoothly we should see the status code of the request and the response payload popping up below the initial request

Result

The Image Above: Screenshot of Airspace Data from the API Documentation page

The documentation of the response fields should be visible on the left of the response payload, making it easy to interpret the data.

Implementing your own client

The interface shown above is great for prototyping your calls, but of course, you still need to implement your own API client. We will show how easy it is to have a full Python API SDK working with only a few lines of code.

The Image Above: Screenshot of Airspace Data from the API Documentation page

You can download the web service client in your favorite language/framework - we currently support the most popular ones such as C#, Java, PHP, Python, Scala, Swift, and Javascript.

Simply select your option from one of the items in the dropdown menu and the download will start automatically. Once complete, you need to extract the archive and open the contents in your favorite IDE.

README file

The Image Above: README.md Document

The README.md file contains valuable information and is tailored to the framework we're interested in. In this case, there are instructions on how to setup up your Python environment in order to be able to run the API client smoothly. There are also code snippets that you can copy/paste directly to your code.

Simple client

The Image Above: README.md Document

We have copied the snippets from the README file into our own file "liveflights-client.py" and we only needed to add two things: the authentication string (bearer token) and the search parameter (registration "G-TTNG"), same as the call we have previously created in the testing interface.

First run

The Image Above: README.md

After saving the file we can open up a terminal and use Python to run the client we have just implemented.

What differentiates us from our competitors?

What differentiates AirNav Radarbox from its competition is what we call AirNav's 3 F's. Flexibility in dealing with each of our customers' requirements. Building Feature-rich and Future-ready products, while focusing on customer satisfaction.” - Andre Brandao, CEO of AirNav Systems.

Customizability means that all solutions are tailored to the client's specific requirements. Our seamless integration into existing client applications and platforms through the offering of ADS-B, FAA SWIM, Oceanic, MLAT, Satellite ADS-C, HFDL, ADS-C, Satellite ADS-B to ensure complete and accurate data means we can offer a lot at relative ease.

Through our offering of multiple data formats such as JSON, XML, CSV, KML, ESRI, and others, we also offer more volume of data for less, which is what makes us stand out from the rest. 

Finally, we have 24/7 around-the-clock customer support to help you with any issues you have as well as picking the right package for you. 

So don't delay, why don't you look more into what we can offer you here at AirNav RadarBox? To get in touch with us, click here to find out today!

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