30 September 2026, 04:07 PM
Full disclosure: I work with the AviationStack team — happy to answer any API questions you have.
I've been tinkering with flight data api for a side project and put together something fun for anyone who's ever looked up at a plane and wondered where it's headed. It started as a weekend experiment — I wanted to answer "where is that plane going right now?" without digging through three different tracking websites. Turns out you can do it in about 30 lines of Python, no fancy libraries or paid tools needed.
WHAT IT DOES
- Pulls live flight data (airline, route, status, altitude, speed)
- Filters by airline or airport
- Prints a clean table in your terminal
Here's the core of the script:
import requests
params = {
'access_key': 'YOUR_API_KEY',
'airline_name': 'delta'
}
data = requests.get('http://api.aviationstack.com/v1/flights', params).json()
for f in data['data'][:10]:
print(f"{f['flight']['iata']} | {f['departure']['airport']} -> "
f"{f['arrival']['airport']} | {f['flight_status']}")
Swap in your own API key and you're done. You can also filter by departure airport (departure_iata), arrival airport (arrival_iata), or a specific flight number instead of airline.
A FEW THINGS I LEARNED WHILE BUILDING IT
- Flight status comes back as scheduled / active / landed / cancelled, so you can filter for only in-air flights
- Watch your rate limit — cache responses if you're polling, and don't hammer the endpoint in a tight loop
- The free tier (100 requests/month, no credit card) was more than enough to build and test everything
- Data coverage varies by region, so check the results for your local airports first before building something bigger
IDEAS IF YOU WANT TO EXTEND IT
- Add a live map with Plotly or Folium (lat/long is already in the response)
- Set up alerts when a specific flight departs or lands
- Log data daily to build your own historical flight dataset
- Track average delays for an airline over a month
- Build a Discord or Telegram bot that pings you when a friend's flight lands
One last tip: inspect the full API response once before you start coding. There are dozens of fields in there (timezones, gates, delay minutes, aircraft type) that aren't obvious at first glance, and a couple of them saved me from writing a bunch of extra code.
Since I'm on the team, feel free to hit me with the tough questions too — rate limits, data coverage, accuracy, whatever you're curious about. And if you build something cool with it, I'd genuinely love to see it. Happy to help debug integrations right here in the thread.
So — what would you build with live flight data?
I've been tinkering with flight data api for a side project and put together something fun for anyone who's ever looked up at a plane and wondered where it's headed. It started as a weekend experiment — I wanted to answer "where is that plane going right now?" without digging through three different tracking websites. Turns out you can do it in about 30 lines of Python, no fancy libraries or paid tools needed.
WHAT IT DOES
- Pulls live flight data (airline, route, status, altitude, speed)
- Filters by airline or airport
- Prints a clean table in your terminal
Here's the core of the script:
import requests
params = {
'access_key': 'YOUR_API_KEY',
'airline_name': 'delta'
}
data = requests.get('http://api.aviationstack.com/v1/flights', params).json()
for f in data['data'][:10]:
print(f"{f['flight']['iata']} | {f['departure']['airport']} -> "
f"{f['arrival']['airport']} | {f['flight_status']}")
Swap in your own API key and you're done. You can also filter by departure airport (departure_iata), arrival airport (arrival_iata), or a specific flight number instead of airline.
A FEW THINGS I LEARNED WHILE BUILDING IT
- Flight status comes back as scheduled / active / landed / cancelled, so you can filter for only in-air flights
- Watch your rate limit — cache responses if you're polling, and don't hammer the endpoint in a tight loop
- The free tier (100 requests/month, no credit card) was more than enough to build and test everything
- Data coverage varies by region, so check the results for your local airports first before building something bigger
IDEAS IF YOU WANT TO EXTEND IT
- Add a live map with Plotly or Folium (lat/long is already in the response)
- Set up alerts when a specific flight departs or lands
- Log data daily to build your own historical flight dataset
- Track average delays for an airline over a month
- Build a Discord or Telegram bot that pings you when a friend's flight lands
One last tip: inspect the full API response once before you start coding. There are dozens of fields in there (timezones, gates, delay minutes, aircraft type) that aren't obvious at first glance, and a couple of them saved me from writing a bunch of extra code.
Since I'm on the team, feel free to hit me with the tough questions too — rate limits, data coverage, accuracy, whatever you're curious about. And if you build something cool with it, I'd genuinely love to see it. Happy to help debug integrations right here in the thread.
So — what would you build with live flight data?