flight-radar 0.0.4

An unofficial Python SDK for the FlightRadar24 API.

Flight Radar API Client

This project provides a Python client for interacting with the Flight Radar API. It simplifies the process of fetching flight-related data, such as live and historic flight positions, flight summaries, and airline and airport information.

Features

• Live Flight Data: Get real-time flight positions for aircraft around the world.
• Historic Flight Data: Access historical flight data, including positions, summaries, and events.
• Flight Details: Retrieve detailed information about specific flights, including their tracks.
• Airline & Airport Information: Look up details about airlines and airports.
• API Usage Monitoring: Check your API usage statistics.

Installation

To install the Flight Radar API Client, you can use pip:

pip install flight-radar

Quickstart

Here's a simple example of how to use the client to get live flight positions:

from flight_radar.factory import get_flight_radar_client
from flight_radar.models import LiveFlightPositionRequest

# Create a flight radar client
client = get_flight_radar_client()

# Create a request to get the live flight positions
request = LiveFlightPositionRequest(
    limit=10,
    # Add any other parameters you might need
)

# Get the live flight positions
positions = client.get_live_flight_positions(request)

# Print the positions
for position in positions:
    print(position)

This will output a list of FlightPosition objects, each containing information about a live flight.

Documentation

For more detailed information about the available methods and models, please refer to the official documentation.

Contributing

Contributions are welcome! If you'd like to contribute, please check out the CONTRIBUTING.md.

Local Development

To set up the project for local development, follow these steps. This project uses uv for package management.

1. Install uv:

   Follow the official installation guide to install uv.

2. Create and activate a virtual environment:

   To run the examples, you first need to create and activate a virtual environment:

   uv venv
   source .venv/bin/activate
   

3. Install dependencies:

   Install the project dependencies, including the development dependencies:

   uv sync --extra dev
   

4. Set up pre-commit hooks:

   This project uses pre-commit hooks to ensure code quality. Install them by running:

   uv run pre-commit install
   

5. Run an example:

   Then, you can run any of the example scripts:

   python examples/alert_when_flight_enters_circular_area.py
   

Now you are all set up to run the project locally and contribute to its development.