Get Airport Info via Airports by Filter API for Logan International Airport (BOS)

You need a reliable way to fetch authoritative details for Boston Logan International Airport so you can label terminals and gates consistently, normalize time zones, and link airport metadata to live flight tracking or schedules. By the end of this guide, you’ll query the FlightLabs Airports by Filter capability for Logan (IATA: BOS, ICAO: KBOS), parse the JSON, cache it efficiently, and wire those fields into practical features like arrival boards, delay alerts, and schedule sync.

Meet the airport you’ll query: Boston Logan (BOS, KBOS)

Logan International Airport serves the Boston area in Massachusetts, United States. Its IATA code is BOS and its ICAO code is KBOS. Developers commonly target BOS because it has multiple terminals and a steady flow of domestic and international operations, making clean airport metadata (names, time zone, terminals, runways) essential for building displays, aggregations, and analytics.

Airports by Filter: getting BOS with IATA, ICAO, city, or country

Airport reference data powers labels, joins, and time conversions across your flight stack. In practice, you’ll filter by one or more of:

• IATA (e.g., BOS)
• ICAO (e.g., KBOS)
• City (e.g., Boston)
• Country (e.g., United States)

You authenticate with your API key. If you don’t have one yet, get it here: Register. For general reference and endpoint behavior, see the Documentation. You can also explore via the MCP.

Filter by IATA: BOS

Use a direct IATA filter to resolve Logan precisely. Replace YOUR_API_KEY with your key.

curl -s "https://mcp.goflightlabs.com/airports?iata=BOS&api_key=YOUR_API_KEY"

Filter by city and country

If you don’t have the IATA code on hand, use city and/or country to narrow results to Boston in the United States.

curl -s "https://mcp.goflightlabs.com/airports?city=Boston&country=United%20States&api_key=YOUR_API_KEY"

What the airport JSON looks like and which fields matter

An airport response includes the core identifiers, geographic location, time zone, and additional metadata like terminals, runways, and weather. Below is an official example payload structure from the documentation to illustrate field names and layout. The same schema applies when you request BOS—expect iata to be BOS and icao to be KBOS for Logan.

{
"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
}
}
}
}
}

How to use these fields for Logan (BOS):

• airport.iata and airport.icao: Use these codes as foreign keys when joining to schedules, real-time tracking, or routes. For BOS, iata is BOS and icao is KBOS.
• airport.name: Display-friendly label for boards and search results.
• airport.location.lat and airport.location.lon: Plot BOS on maps, compute distances, or reverse-lookup nearby airports.
• airport.location.city and airport.location.country: Disambiguate multi-city areas and support user filters.
• airport.timezone: Convert UTC times from schedules and real-time endpoints into local time for BOS displays.
• airport.terminals: Label arrival/departure boards and routing rules by terminal.
• airport.runways: Useful for operational apps showing active surfaces or planning purposes.
• airport.weather: Optional context for arrival boards and operational dashboards. Units: temperature in Celsius, visibility in kilometers, wind in knots/degrees.

IATA vs city/country filters: which to use when

Code: fetch and cache Logan’s airport reference data

Airport metadata changes much less frequently than flight status. Cache it in memory (and optionally in a persistent store) and invalidate on a controlled schedule (e.g., daily or weekly) or when your build pipeline deploys a new snapshot.

import os
import time
import json
import requests
from typing import Any, Dict, Optional

API_KEY = os.getenv("FLIGHTLABS_API_KEY", "YOUR_API_KEY")
BASE = "https://mcp.goflightlabs.com" # Explore via MCP link in docs

CACHE_TTL_SEC = 24 * 60 * 60 # 24 hours for airport reference data
_cache: Dict[str, Dict[str, Any]] = {}
_cache_expiry: Dict[str, float] = {}

def _now() -> float:
return time.time()

def _expired(key: str) -> bool:
return key not in _cache_expiry or _cache_expiry[key] < _now()

def get_airport_by_iata(iata: str) -> Optional[Dict[str, Any]]:
key = f"airport:{iata.upper()}"
if not _expired(key):
return _cache.get(key)

url = f"{BASE}/airports"
params = {"iata": iata.upper(), "api_key": API_KEY}
resp = requests.get(url, params=params, timeout=10)
resp.raise_for_status()
data = resp.json()

# Basic validation pattern
if not data or not data.get("success"):
return None

# Depending on response shape, adapt indexing here
airport = data.get("data", {}).get("airport")
if not airport:
return None

_cache[key] = airport
_cache_expiry[key] = _now() + CACHE_TTL_SEC
return airport

def describe_bos() -> str:
airport = get_airport_by_iata("BOS")
if not airport:
return "No airport data found for BOS."

iata = airport.get("iata")
icao = airport.get("icao")
name = airport.get("name")
tz = airport.get("timezone")
city = (airport.get("location") or {}).get("city")
country = (airport.get("location") or {}).get("country")
terminals = ", ".join(airport.get("terminals") or [])
runways = airport.get("runways") or []
primary_runway = runways[0]["designator"] if runways else "n/a"

return (
f"{name} ({iata}/{icao}) in {city}, {country} — timezone {tz}. "
f"Terminals: {terminals or 'n/a'}. Primary runway: {primary_runway}."
)

if __name__ == "__main__":
print(describe_bos())

Notes on the sample:

• Caching: Low-churn fields like name, codes, and time zone are cached for a day. Adjust TTL based on your operational needs.
• Error handling: Validate the success flag and presence of data.airport before using fields.
• Extensibility: Add helper functions to fetch by city/country for user-facing search screens.

Using BOS airport data in downstream features

Below are targeted use cases anchored to the airport fields you’ll receive and how they connect to other FlightLabs endpoints listed in the documentation.

1) Arrival and departure boards with local time

• Use airport.timezone from BOS to convert UTC times in schedules and real-time updates into local time for on-prem displays.
• Display terminal and gate labels from your schedules or real-time endpoints; the BOS reference terminals help standardize your UI.
• Tip: If a flight’s status transitions to canceled or diverted on a flight-tracking call, still maintain the local-time display by anchoring to BOS’s time zone.

2) Delay or disruption alerts that include clear location context

• Attach airport.name and airport.iata (BOS) to alerts for human-readable clarity in emails, push notifications, or Slack messages.
• Supplement alert text with airport.weather for operational context (“winds 210° at 12 kts”).

3) Schedule sync pipelines that join on airport codes

• Join schedules’ departure.airport and arrival.airport against airport.iata for BOS to enrich rows with city, country, and time zone.
• Normalize gate assignment displays by terminal sets listed in airport.terminals.

Where BOS airport data meets live flight tracking and schedules

You’ll typically combine Logan’s reference data with other FlightLabs capabilities listed in the docs:

• Real-time Flight Tracking (see: https://www.goflightlabs.com/real-time) for live status, position, terminals, and gates.
• Flight Schedules (see: https://www.goflightlabs.com/flights-schedules) for planned times, terminals, and flight metadata.
• Flight History (see: https://www.goflightlabs.com/flights-history) to analyze performance or reconcile operations over time.

A representative real-time response (official sample) illustrates timings and status you might pair with BOS metadata:

{
"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
}
}
}
}

Key fields to integrate with BOS metadata:

• flight.status: Route your UI (en-route, landed, canceled) and conditional formatting.
• departure.scheduled/actual and arrival.scheduled/estimated: Convert from UTC to BOS local time using airport.timezone when BOS is the relevant endpoint airport.
• terminal and gate: Validate or present with BOS terminal sets from the airport reference.
• codeshares: If present in your selected endpoints, map codeshares to the same BOS gate/terminal display line item.

Practical implementation details that save time

Time zones and UTC alignment

• Store times in UTC internally, convert to America/New_York (Logan’s time zone) at the UI boundary or for human-readable exports.
• Daylight Saving Time shifts are encapsulated by the IANA time zone string in the airport.timezone field.

Polling, caching, and freshness

• Airport reference data (name, codes, time zone, terminals) changes infrequently—cache for hours to days. The Python sample shows a 24-hour TTL.
• For live status, poll more frequently (e.g., every 30–60 seconds) and apply client-side debouncing to avoid flicker on displays.
• Use an ETag or last-updated pattern if exposed in your stack to minimize bandwidth; otherwise, centralize polling and fan out via your pub/sub bus.

Handling canceled or diverted flights

• Detect status transitions on your real-time calls. When canceled, suppress terminal/gate unless you want to show the last-known assignment with a clear “Canceled” label.
• For diversions, keep BOS context in the log or history views and surface the diversion airport via the arrival object if applicable.

Pagination and batching

• When pulling schedules for BOS, expect pagination from the schedules endpoint if you’re querying full-day windows. Batch by time windows (e.g., hourly intervals) and merge on the client.
• Keep a local index keyed by iata (BOS) and icao (KBOS) to join across paginated results and avoid repeated lookups.

End-to-end example: wiring BOS metadata into a board

Here’s a conceptual flow you can replicate in your stack:

1. Resolve BOS via IATA using the Airports by Filter call. Cache “name”, “timezone”, “terminals”.
2. Fetch arrival flights using your schedules or real-time endpoints. Store times as UTC.
3. On render, convert timestamps to “America/New_York” using airport.timezone. Display terminal/gate if present; otherwise, fallback to “TBD”.
4. If a flight is canceled, render a single line with status=canceled and hide the gate unless business rules say otherwise.
5. Refresh live data on a short interval; refresh airport metadata on a long interval.

Balanced look: technical differences in how you might query BOS

Your selection of filter and endpoint depends on what you’re building:

• Strict lookup for a single airport: Use IATA=“BOS” (or ICAO=“KBOS”) to guarantee a single match, ideal for server-side joins.
• User-driven search: Use city=“Boston” (with or without country) to let users type human-friendly input and then allow them to choose the airport if multiple appear.
• Data enrichment pipelines: Preload country=“United States” and then filter to BOS offline when building catalogs or autocomplete dictionaries.

For schedules or flight status tied to BOS, remember that those endpoints focus on flights and their times/status, while the airport filter returns slower-changing reference data. Combining both is what yields a robust BOS integration.

Testing and troubleshooting

• Verify you’re sending the correct case for codes (BOS/KBOS) and URL-encoding city/country parameters.
• Log the raw payload the first time you wire up the schema; map nulls on optional fields like terminals or weather.
• Use the Documentation and the MCP explorer to confirm parameter names and sample queries.

FAQ

Can I rely on a single identifier for Logan?
Yes. Use iata=BOS or icao=KBOS as your primary keys. Keep both in your model for flexibility with different datasets.

How often should I refresh airport reference data?
Reference data is relatively stable. A 24-hour TTL is common. If you need absolute freshness for operational terminals or weather, refresh more frequently or on demand.

What time zone should I store times in?
Store in UTC. Convert to America/New_York for Logan at the presentation layer using airport.timezone from the airport response.

How do I handle multiple airports when filtering by city?
Present a chooser in the UI or apply additional constraints (country, distance from a point) to narrow the list. For Boston, ensure BOS is the selected airport when the user’s intent is Logan.

Where can I see all available fields and endpoints?
Refer to the FlightLabs Documentation and explore requests in the MCP environment.

Ready to integrate Logan (BOS) airport data into your app and connect it to schedules and live status? Get your API key and start building today: Register. For reference and examples across flight tracking, schedules, and routes, keep the Documentation open as you iterate.