How to Monitor Flights and Get Real-Time Updates via API
Stop polling for status. Create a flight monitor once, pick exactly which changes matter, and let FlightNerve push a webhook the moment a flight is delayed, gate-changed, diverted, or lands — with real business use cases and the exact payload you receive.
· 7 min readMost teams that depend on flights start the same way: they call a flight-status endpoint every few minutes and diff the result themselves. It works, until it doesn't. You poll too often and burn quota; you poll too rarely and miss the delay that mattered; and you end up writing the same change-detection logic everyone else writes. Monitoring flips that around. You tell FlightNerve which flight to watch and what you care about, and we push you a message the moment something changes — no polling loop, no diffing, no missed events.
This guide explains how flight monitoring works over an API, exactly what lands on your webhook, how to choose what to be alerted on, and the business cases where getting the update first is the whole product.
Polling vs. monitoring
Polling asks "what is the status right now?" on a timer. Monitoring asks "tell me when it changes." The difference is not academic:
- No missed windows. A gate can change 40 minutes before boarding and revert 10 minutes later. A 15-minute poll can step right over it. A monitor catches the change itself.
- No wasted calls. One monitor covers a flight's entire life — scheduled, delayed, boarding, airborne, landed — instead of hundreds of repeated lookups.
- No change-detection code. You receive the delta: what changed, from what, to what, and by how many minutes. You just react.
What you can be alerted on
A monitor watches the full journey. You can be informed of any of these, and mute the ones you don't want:
- Departure — the flight actually leaves the gate.
- Departure delay / earlier — the departure estimate moves later or earlier.
- Arrival delay / earlier — the arrival estimate moves later or earlier (usually the one that matters most downstream).
- Gate — a departure or arrival gate is assigned or changed.
- Terminal — a terminal is assigned or changed.
- Baggage belt — the arrival belt is published.
- Schedule change, cancellation, diversion, landing — the big status moments.
Create a monitor
One call ties a flight and date to your account and returns a stable monitoring_id. Optionally describe what you care about and how sensitive alerts should be.
# monitor EK72, only alert on 20-minute+ moves, mute early departures & gate changes curl -X POST "https://api.flightnerve.com/monitor/YOUR_KEY" \ -H "Content-Type: application/json" -d '{ "flight": "EK72", "date": "20260726", "monitor": { "sensitivity_min": 20, "events": { "departure_early": false, "gate": false } } }' → { "success": true, "monitoring_id": "mon_fbba35cd573ca081", "flight": "EK72", "day": "20260726", "source": "api" }
Store the monitoring_id. It identifies this exact monitor, is echoed in every webhook we send for it, and stays the same if you create the same flight/date again — so you can map an incoming alert straight back to the booking, shipment, or pickup it belongs to.
Receiving the webhook
Set one webhook URL per account. When a monitored flight changes, we POST a JSON object to it. Reply with any 2xx to acknowledge.
# set your endpoint
curl -X POST "https://api.flightnerve.com/webhook/YOUR_KEY" \
-H "Content-Type: application/json" -d '{"url":"https://your-server.example/hooks/flightnerve"}'
A delay alert arrives looking like this:
{
"event": "flightnerve.alert",
"monitoring_id": "mon_fbba35cd573ca081",
"flight": "EK72",
"date": "20260726",
"route": "DXB-MUC",
"changes": [
{ "field": "arrival_estimate", "type": "delayed",
"from": "2026-07-26T14:00:00Z", "to": "2026-07-26T14:25:00Z",
"delta_min": 25, "to_local": "16:25" }
]
}
You get the delta, not a snapshot to diff: the field that changed, its old and new value, and for time changes how many minutes it moved plus the new local time. Every alert is also stored, with its delivery result, so nothing is lost if your endpoint is briefly unreachable.
Sensitivity: alert on what matters, skip the noise
Estimates wobble. An arrival estimate can drift a couple of minutes every refresh without meaning anything. sensitivity_min (default 15) sets how far an estimate must move from the value we last alerted you on before it fires again. If we told you "12 minutes late" and it edges to 18, that is a 6-minute move — below the threshold, so you are not paged again. When it crosses to 30, you hear about it. You get the meaningful changes and none of the chatter.
Business use cases
Monitoring pays off anywhere a flight is the trigger for something else you do.
Ground transportation & airport transfers
The classic case. Dispatch a driver against the actual arrival, not the printed schedule. An arrival-delay alert pushes the pickup back automatically; a landing alert releases the driver to the curb; a gate or belt alert tells the greeter exactly where to stand. Fewer no-shows, less waiting-time cost, no customer standing alone in arrivals.
Travel management & OTAs
When a schedule change or cancellation lands on your webhook, you can rebook, notify the traveler, and adjust the downstream itinerary — the connection, the hotel night, the transfer — before the traveler has refreshed their app. Turning disruption into a proactive message is a retention feature, not a support cost.
Cargo & logistics
Freight forwarders and time-critical shipping run on aircraft rotations. A delay or diversion on the carrying flight ripples into customs windows, cold-chain limits, and last-mile handoffs. A monitor gives operations the heads-up to re-slot a truck or re-book a connection while there is still time to act.
Hospitality & corporate travel
Hotels can hold late check-ins and stagger housekeeping against real arrivals; travel-risk and duty-of-care teams can confirm a traveler is airborne, diverted, or safely on the ground without a human watching a board. The monitoring ID maps each alert to the guest, employee, or trip automatically.
Meet-and-greet & VIP services
A greeter's entire job is timing. Gate assigned, boarding, wheels-up, landed, arrival gate and belt — delivered as they happen — means the right person is in the right place without anyone refreshing a page.
Test your endpoint before you rely on it
You can fire a sample alert at any URL and see whether it replies, without waiting for a real flight to change:
curl -X POST "https://api.flightnerve.com/webhook/YOUR_KEY" \
-H "Content-Type: application/json" -d '{"test": true, "url": "https://your-server.example/hooks/flightnerve"}'
→ { "success": true, "delivered": true, "code": 200 }
The console has a one-click Test button that does the same thing, so you can confirm your receiver is wired up before a single flight is monitored.
Frequently asked questions
How is this different from just calling the status endpoint on a timer?
You stop running the loop and stop writing change detection. You create one monitor and receive the changes as they happen, already diffed, with the delta and the new local time.
Will a wobbling estimate spam my endpoint?
No. The sensitivity threshold debounces time alerts against the last value you were alerted on, so small back-and-forth movements never re-fire.
What if my endpoint is down when an alert fires?
Every alert is stored with its delivery status, so you can reconcile against the alerts list. You can also re-test your endpoint at any time.
Can I correlate an alert back to a specific booking?
Yes — that is what the monitoring_id is for. It is returned when you create the monitor and included in every webhook, so you can key it to your own record.
Can I monitor a flight that hasn't been scheduled publicly yet?
Yes. You can create a monitor for a future date; it activates and begins reporting as the flight's schedule and status firm up.
Monitoring turns "check the flight" into "the flight tells you." Point a webhook at your system, create a monitor per flight you care about, and let the delays, gates, belts, diversions and landings come to you — the moment they happen.