Beijing Capital (PEK) Routes
You need to build a dependable “from/to” view of routes for Beijing Capital International Airport (PEK) that developers can use in route maps, airport displays, search funnels, and planning tools. By the end of this article, you’ll know which FlightLabs endpoints to call for PEK routes, how they differ, how to parse the key fields (times, terminals, gates, codeshares, and status), and how to handle UTC, caching, and polling in production.
What we mean by “routes” at PEK—and how FlightLabs exposes them
“Routes” can mean different things in an app:
- Stable city/airport pairs (e.g., PEK ↔ LAX) that exist regardless of day and season.
- Operational schedules for specific dates that show terminals, gates, aircraft, and planned times.
- Live flights operating on a given route right now, with real-time status and position.
- Forward-looking schedules (predictions or planned timetables) to drive booking flows and planning.
FlightLabs supports each of these perspectives with different endpoints you can combine to power PEK route experiences. The most relevant categories are:
- Routes reference: Routes for “what links to PEK exist”.
- Day-of schedules: Flight Schedules for terminals, gates, and planned times.
- Real-time tracking and status: Real-time Flight Tracking when you need live states across PEK routes.
- Historical and future planning: Flight History and Future Flights for analytics and forecasting.
Below we’ll compare these options, show how to pull PEK schedules via the API, and outline practical integration tips you can ship today.
Choosing the right endpoint for PEK route use cases
| Endpoint | Primary purpose | When to use it for PEK | Key request details | Fields that matter |
|---|---|---|---|---|
| Routes (Reference) | Discover route pairs that exist for an airport or airline. | Building a PEK route map or autocomplete that lists all connected airports/cities. | Use the Routes category; filter for PEK. See Routes. | Origin/destination IATA/ICAO, airline (when applicable). Use for topology, not day-of ops. |
| Flight Schedules | Operational timetables for specific dates. | Display departures/arrivals boards for PEK; power search results with times, terminals, gates. | GET /flights-schedules?iataCode=PEK&type=departure or arrival | flight_number, airline, departure/arrival.airport, scheduled times, terminals, gates, aircraft. |
| Real-time Flight Tracking | Live flight state and position. | Track active flights on PEK routes (e.g., en-route from PEK to a destination) and monitor delays. | See Real-time. Filter by flight, airline, or other criteria as supported. | status, departure/arrival times, terminals/gates, position (lat/lon, altitude, speed, heading). |
| Flight History | Past operations for analytics and service QA. | Analyze historical PEK routes, typical timings, and schedule adherence at a high level. | See Flights History. | Past scheduled/actual times, status outcomes; useful to inform predictions and planning. |
| Future Flights | Forward-looking timetables. | Populate future route availability from PEK during planning and pricing flows. | See Future Flights. | Scheduled future operations similar in structure to schedules. |
Getting PEK schedules with a single API call
For most route-driven UIs at an airport level, schedules are your foundation. They provide the daily operational view for departures and arrivals, including terminals, gates, and scheduled times you can index or cache for your display.
Use the schedules endpoint with two required query parameters:
- iataCode: PEK
- type: departure or arrival
Example curl: departures from PEK
This call requests scheduled departures for PEK. Replace YOUR_API_KEY with your API key.
curl -G "https://api.goflightlabs.com/flights-schedules" \
--data-urlencode "iataCode=PEK" \
--data-urlencode "type=departure" \
-H "Authorization: YOUR_API_KEY"
Authentication is via API key. If you haven’t created one yet, register at Register. Refer to the Documentation if your environment requires a different header or parameter for auth.
Official schedule response structure (sample)
Here is an official sample of how schedule data is returned. The shape is the same when you query PEK; field names and nesting will match even as values differ by flight and day.
{
"success": true,
"data": {
"schedules": [
{
"flight_number": "UA456",
"departure": {
"airport": "SFO",
"scheduled": "2024-03-20T08:00:00Z",
"terminal": "3"
},
"arrival": {
"airport": "ORD",
"scheduled": "2024-03-20T14:15:00Z",
"terminal": "1"
},
"aircraft": {
"type": "Boeing 787-9",
"registration": "N123UA"
},
"airline": {
"name": "United Airlines",
"iata": "UA"
}
}
]
}
}
What to use in a PEK routes workflow:
- schedules[].flight_number to correlate with other endpoints and logs.
- schedules[].airline.iata and airline.name for display and filtering (e.g., show all “CA” flights from PEK, if you filter that way).
- schedules[].departure.airport and schedules[].arrival.airport for “from/to” mappings; use PEK as the fixed point to build your routes list.
- schedules[].departure.scheduled and schedules[].arrival.scheduled for precise timing; these are ISO 8601 UTC timestamps (note the trailing Z).
- schedules[].departure.terminal and schedules[].arrival.terminal for terminal boards and wayfinding. Gate fields may also be available where provided by the data source.
- schedules[].aircraft.* for optional messaging (e.g., equipment display next to a route result).
Parsing schedules in code and forming PEK route lists
Below is a compact Python example that fetches departures from PEK and composes a list of destination airports with the associated flight numbers, scheduled times, and airline codes. Adapt the filtering for arrivals by changing the type parameter.
import os
import requests
from datetime import datetime
API_BASE = "https://api.goflightlabs.com"
API_KEY = os.getenv("FLIGHTLABS_KEY", "YOUR_API_KEY")
def get_pek_departures():
url = f"{API_BASE}/flights-schedules"
params = {
"iataCode": "PEK",
"type": "departure"
}
headers = {
"Authorization": API_KEY
}
r = requests.get(url, params=params, headers=headers, timeout=30)
r.raise_for_status()
payload = r.json()
if not payload.get("success"):
raise RuntimeError("API returned success=false")
return payload["data"]["schedules"]
def build_routes_from_schedules(schedules):
routes = []
for s in schedules:
flight_no = s.get("flight_number")
airline = s.get("airline", {})
dep = s.get("departure", {})
arr = s.get("arrival", {})
# Timestamps are UTC per samples; convert to datetime for your logic/UI if needed
dep_time_utc = dep.get("scheduled")
arr_time_utc = arr.get("scheduled")
routes.append({
"airline_iata": airline.get("iata"),
"flight_number": flight_no,
"from_airport": dep.get("airport"),
"to_airport": arr.get("airport"),
"dep_scheduled_utc": dep_time_utc,
"arr_scheduled_utc": arr_time_utc,
"dep_terminal": dep.get("terminal"),
"arr_terminal": arr.get("terminal")
})
return routes
if __name__ == "__main__":
schedules = get_pek_departures()
routes = build_routes_from_schedules(schedules)
for r in routes[:10]:
print(r)
Notes:
- All times should be treated as UTC unless you localize them for display. Convert with your preferred timezone library when rendering for users at PEK (China Standard Time) or at the destination.
- For route mapping, group the results by “to_airport” for departures (or “from_airport” for arrivals). You can then count flights per destination for the date, or maintain a set for a unique routes graph.
- Codeshare handling can be done by merging flights with the same operational leg; see the real-time status section for considerations.
When to augment PEK schedules with real-time status
Schedules alone don’t tell you whether the plane has pushed back, is delayed, or has diverted. When your use case needs live state—for example, airport signage, arrivals boards, or a dynamic route tracker—you’ll want to add a real-time call keyed by flight number, airline, or other filters supported by the API.
Here’s the official structure you can expect from real-time tracking data, including live position and “status” for operational state:
{
"success": true,
"data": {
"flight": {
"iata": "AA123",
"icao": "AAL123",
"number": "123",
"status": "en-route",
"departure": {
"airport": "JFK",
"scheduled": "2024-03-20T10:00:00Z",
"actual": "2024-03-20T10:05:00Z",
"terminal": "8",
"gate": "B12"
},
"arrival": {
"airport": "LAX",
"scheduled": "2024-03-20T13:15:00Z",
"estimated": "2024-03-20T13:20:00Z",
"terminal": "4",
"gate": "45A"
},
"position": {
"latitude": 39.8729,
"longitude": -98.7372,
"altitude": 35000,
"speed": 495,
"heading": 270
}
}
}
}
What to use:
- flight.status to reflect live state in your PEK route board. For example, if a departure to an outstation is “en-route,” you can visually confirm the route is active.
- departure.actual and arrival.estimated to update timeline bars or ETAs alongside scheduled values from the schedules endpoint.
- departure/arrival.terminal and gate to surface wayfinding at PEK or at the connected airport.
- position for maps and “live on-route” visuals connecting PEK to its destinations.
How Routes reference complements schedules for PEK
The Routes reference is the quickest way to bootstrap a PEK routes graph without selecting a specific date. Think of it as your “edges” inventory in a graph where PEK is the origin or destination. Once you have that, use schedules to populate dates, times, and operational details, and then optionally layer in real-time status.
Practical workflow:
- Step 1: Pull “all known routes” for PEK with the Routes reference.
- Step 2: For “today,” call schedules for PEK departures and/or arrivals to see which edges operate and when.
- Step 3: For in-progress flights, look up real-time status to update the route edge with “active now,” ETAs, and gates.
- Step 4: For the next 7–30 days, use Future Flights to pre-cache schedules for faster route queries from PEK.
You can execute and iterate on these steps via the MCP console and confirm behavior alongside the main Documentation.
Time zones, UTC, polling, and caching for PEK route apps
Time zones and UTC:
- Samples show ISO 8601 Zulu timestamps (e.g., 2024-03-20T08:00:00Z). Treat schedule and live timestamps as UTC unless explicitly documented otherwise.
- Convert to local time when you render for PEK (China Standard Time) and for the destination. Persist raw UTC in storage so you can re-render in any zone.
Polling frequency for live tracking:
- For route maps or airport boards, define a polling cadence that balances freshness with quota usage. Many UIs are acceptable with lower frequency except around pushback, takeoff, and arrival windows.
- Prefer event-driven updates (e.g., when a flight transitions to “en-route” or approaches arrival) when your logic can infer state changes.
Caching guidelines:
- Schedules: cache by date, airport=PEK, and type (departure/arrival). Consider a TTL that matches your operational tolerance, and invalidate as you detect changes via subsequent pulls.
- Routes reference: cache aggressively (e.g., daily) since topology changes less frequently than schedules.
- Real-time: shorter TTLs near departure/arrival; slightly longer while cruising.
Handling cancellations and diversions:
- Use flight.status to detect non-nominal states and annotate the PEK route display accordingly (e.g., visually mark a PEK→Destination edge as disrupted).
- When status indicates a change, prefer arrival.estimated/actual over scheduled for user-facing ETAs and boards.
Pagination for schedules:
- Large hubs like PEK can produce many schedule entries. Implement pagination as documented for the schedules endpoint so your UI can progressively load or virtually scroll.
- If the API returns a cursor or page token, persist it between requests; if it uses page/limit parameters, size your page to keep UI latency low.
Joining schedules and real-time data into a single PEK route model
For a full-featured PEK routes experience, consider composing a minimal “flight record” that can ingest both schedules and real-time fields:
- Identity: airline.iata + flight_number as a primary display key; you can also index by scheduled departure time window for de-duplication.
- Route: departure.airport (PEK) and arrival.airport (destination) for the route edge; maintain a normalized airports table for names and geocodes if needed.
- Times: scheduled vs. actual/estimated to reflect changes while preserving the timetable baseline.
- Ops fields: terminal and gate at both ends when available.
- Status: use from live tracking to determine whether to highlight the edge as active, delayed, or completed.
This composite model lets you power multiple surfaces (route map, depart/arrive boards, itinerary details) while keeping PEK as the anchor.
Airport metadata for context (optional)
If your PEK route view needs context like local time, terminal names, or weather overlays, you can retrieve airport information. Here is the official shape of such a response:
{
"success": true,
"data": {
"airport": {
"iata": "JFK",
"icao": "KJFK",
"name": "John F. Kennedy International Airport",
"location": {
"lat": 40.6413,
"lon": -73.7781,
"city": "New York",
"country": "United States"
},
"timezone": "America\/New_York",
"terminals": [
"1",
"2",
"4",
"5",
"7",
"8"
],
"runways": [
{
"length_ft": 14511,
"width_ft": 150,
"surface": "concrete",
"designator": "13L\/31R"
}
],
"weather": {
"temp_c": 22,
"visibility_km": 10,
"wind": {
"speed_kts": 8,
"direction_deg": 180
}
}
}
}
}
Use timezone to confirm your conversions for PEK and connected airports. Terminals can help build better wayfinding context in your route UI when combined with schedule fields.
Testing and operationalizing your PEK route integration
- Start in the MCP console to validate query parameters and inspect live responses before committing code.
- Use a test plan to verify UTC handling: select a known departure from PEK, transform to CST for local rendering, and compare against signage or airline portals for sanity checks.
- Build idempotent upserts keyed by (airline, flight_number, scheduled departure timestamp) so re-polls update rather than duplicate flights.
- Rate-limit your polling loops and adopt exponential backoff on HTTP errors. Cache stable resources (routes reference) to conserve quota.
Pricing, access, and next steps
You can try FlightLabs with a 7-day trial or a 50 request allowance, and the Starter plan begins at $24.99/month. Create your key and start calling the schedules endpoint for PEK departures and arrivals in minutes. Explore the full API surface and examples on the product site: www.goflightlabs.com, and make sure to read the Documentation for endpoint-specific parameters beyond iataCode and type.
FAQ
-
How do I list all destinations reachable from PEK today?
Call /flights-schedules with iataCode=PEK and type=departure, then group results by arrival.airport. Optionally merge in real-time status to mark which are in progress. -
How do I get both arrivals and departures at PEK?
Make two calls: one with type=arrival and another with type=departure. Cache each result set separately to keep UI updates responsive. -
How should I handle time zones?
Treat all timestamps as UTC (ISO 8601 Z). Convert to the user’s preferred timezone for display (e.g., CST for PEK). Store UTC to avoid cumulative rounding or DST errors. -
Can I detect delays or diversions on PEK routes?
Yes—use the real-time tracking endpoint to read flight.status along with differences between scheduled vs. actual/estimated times. Update your route card’s labels accordingly. -
What about pagination for busy hours at PEK?
Implement pagination as documented for /flights-schedules to load results in pages. Persist and pass any cursor or page token until you exhaust the result set.
Ready to build a production-grade PEK routes experience? Generate your API key and start with the schedules call today. Create your account at Register, validate endpoints in MCP, and keep the FlightLabs site handy as you scale your PEK route maps, boards, and data services.