The Schedules API service provides real-time data for the flight schedules and timetables of airports and airlines around the world and maintains this for you in our central database, always accessible with your personal API key. This is one of Aviation Edge’s core features. You can build real-time airport departure and arrival tables, keep track of delays and cancellations, track the status of flights by using our API. The data comes in JSON format, making it useful to implement to websites and build applications, tools, software, and more.

The data includes the following: - Flight Status: active, scheduled, landed, cancelled, incident, diverted, redirected. - Airport details: IATA code, ICAO code, Terminal, Gate for both departure and arrival airport - Take-off information: Scheduled, estimated and actual times on runway and that of departure/arrival. - Total delay (updated for departures) - Airline: Name, IATA code and ICAO code. - Flight: Number of Flight, IATA prefix with flight number and ICAO prefix with flight number.

Example response from the API:

[ {"airline": {"iataCode":"DL", "icaoCode":"DAL", "name":"Delta Air Lines"}, "arrival": {"actualRunway":"2021-03-03T04:15:00.000", "actualTime":"2021-03-03T04:15:00.000", "baggage":"T4", "delay":null, "estimatedRunway":"2021-03-03T04:15:00.000", "estimatedTime":"2021-03-03T04:15:00.000", "gate":"B41", "iataCode":"JFK", "icaoCode":"KJFK", "scheduledTime":"2021-03-03T05:05:00.000", "terminal":"4"}, "codeshared":null, "departure": {"actualRunway":"2021-03-03T00:10:00.000", "actualTime":"2021-03-03T00:10:00.000", "baggage":5, "delay":"16", "estimatedRunway":"2021-03-03T00:10:00.000", "estimatedTime":”2021-03-03T00:10:00.000”, "gate":"B06", "iataCode":"TLV", "icaoCode":"LLBG", "scheduledTime":"2021-03-02T23:55:00.000", "terminal":"3"}, "flight": {"iataNumber":"DL235", "icaoNumber":"DAL235", "number":"235"}, "status":"landed", "type":"arrival"} ]

Output:

For the departure schedule of a certain airport. GET http://aviation-edge.com/v2/public/timetable?key=[API_KEY]&iataCode=JFK&type=departure

For the arrival schedule of a certain airport. GET http://aviation-edge.com/v2/public/timetable?key=[API_KEY]&iataCode=JFK&type=arrival

The Flight Data API market is experiencing robust growth, driven by the increasing demand for real-time flight information across various sectors. The aviation industry itself relies heavily on these APIs for operational efficiency, optimizing schedules, managing resources, and improving passenger experiences. Beyond airlines, travel agencies, logistics companies, and even weather forecasting services leverage flight data APIs to enhance their offerings and decision-making processes. This widespread adoption fuels market expansion, particularly with the rise of mobile applications and the need for dynamic, up-to-the-minute flight updates. The market's segmentation reflects this diverse user base, with specialized APIs catering to specific needs, such as flight tracking, schedule data, and real-time status updates. Competition is relatively high, with a mix of established players and emerging startups offering varying levels of data granularity and service features. This competitive landscape drives innovation and pushes providers to continually improve their data accuracy, coverage, and integration capabilities. Significant growth is expected in the forecast period (2025-2033), propelled by advancements in data analytics and the integration of flight data into broader business intelligence platforms. The increasing adoption of cloud-based solutions and the growing demand for personalized travel experiences further contribute to the market’s expansion. However, challenges exist, including data security concerns, regulatory complexities surrounding data access, and the potential for inaccuracies in real-time flight information due to unforeseen circumstances. To mitigate these risks, market players are focusing on robust data validation processes, enhanced security measures, and transparent communication with users. The ongoing development of innovative applications and services built upon Flight Data APIs ensures the market's continued evolution and substantial growth potential. Given the current market dynamics, a conservative estimate places the 2025 market size at $500 million, growing at a 15% CAGR over the next eight years.

The historical flight schedule data is perfect to create applications, plugins for websites, running analysis and creating statistics, keeping track of past delays and cancellations for insurance or flight compensation claims, and much more.

We have developed many parameters you can use to pull the exact data you need without having to spend too much time filtering it on your end. We've asked many developers around the world to find out which pieces of data they would need the most, and created the parameters based on this feedback.

The data includes: - Airline: Name, IATA and ICAO codes of the airline. - Departure and arrival: IATA codes and ICAO codes of the departure and arrival location. - Departure and arrival times: Scheduled, estimated and actual arrival and departure times, as well as runway times in local time. - Status: The latest status information of the flight which may be active (for departure schedules), landed (for arrival schedules), cancelled or unknown - Delay: Total delay amount in minutes for delayed flights

Example response from the API: { "type": "departure", "status": "active", "departure": { "iataCode": "jfk", "icaoCode": "kjfk", "terminal": "7", "delay": 10, "scheduledTime": "2020-09-25t20:15:00.000", "estimatedTime": "2020-09-25t20:09:00.000", "actualTime": "2020-09-25t20:25:00.000", "estimatedRunway": "2020-09-25t20:25:00.000", "actualRunway": "2020-09-25t20:25:00.000"}, "arrival": { "iataCode": "lhr", "icaoCode": "egll", "terminal": "5", "scheduledTime": "2020-09-26t08:20:00.000", "estimatedTime": "2020-09-26t07:32:00.000" }, "airline": { "name": "aer lingus", "iataCode": "ei", "icaoCode": "ein" }, "flight": { "number": "8814", "iataNumber": "ei8814", "icaoNumber": "ein8814" }, "codeshared": { "airline": { "name": "british airways", "iataCode": "ba", "icaoCode": "baw" }, "flight": { "number": "114", "iataNumber": "ba114", "icaoNumber": "baw114"} } },

2) Historical Schedules API Output - Developer Information For the departure schedule of a certain airport on a certain date. GET http://aviation-edge.com/v2/public/flightsHistory?key=[API_KEY]&code=JFK&type=departure&date_from=YYYY-MM-DD

For the arrival schedule of a certain airport on a certain date. GET http://aviation-edge.com/v2/public/flightsHistory?key=[API_KEY]&code=JFK&type=arrival&date_from=YYYY-MM-DD

For the schedule of a certain airport of a certain date range (also available for arrival). GET http://aviation-edge.com/v2/public/flightsHistory?key=[API_KEY]&code=JFK&type=departure&date_from=YYYY-MM-DD&date_to=YYYY-MM-DD

For the schedule of a certain airport on a certain date (or range) but only flights with a certain status. GET http://aviation-edge.com/v2/public/flightsHistory?key=[API_KEY]&code=JFK&type=arrival&date_from=YYYY-MM-DD&date_to=YYYY-MM-DD&status=cancelled

For tracking individual historical flights. GET http://aviation-edge.com/v2/public/flightsHistory?key=[API_KEY]&code=JFK&type=departure&date_from=YYYY-MM-DD&date_to=YYYY-MM-DD&flight_number=[1234]

For filtering the flights of a certain airline from the arrival schedule of a certain airport on a certain date (also available for departure schedules and as a date range). GET http://aviation-edge.com/v2/public/flightsHistory?key=[API_KEY]&code=JFK&type=arrival&date_from=YYYY-MM-DD&&airline_iata=TK

Important Tips: - Currently possible to get dates that are up to 1 year earlier than the current date (this will expand soon). - The date range can go up to 28 days for a single API call but may be shorter around 3-5 days for airports with heavy traffic.

You can get all global flight information in 1 API call or track flights based on flight number, airline, departure/arrival airport, and more. The data updates frequently, around every 5 minutes. The details of the data include:

Geography: Location information such as latitude, longitude, altitude, and direction. Speed: Vertical and horizontal speed of aircraft. Departure and arrival: IATA codes and ICAO codes of the departure and arrival airport. Aircraft and flight: IATA and ICAO number of flight and registration number, ICAO code, and ICAO24 code of aircraft. Airline: IATA code, and ICAO code of airline. System information: Squawk, status, and last updated in Epoch.

Here's an example response from the API: [ { "geography": { "latitude": 43.5033, "longitude": -79.1297, "altitude": 7833.36, "direction": 70 }, "speed": { "horizontal": 833.4, "isGround": 0, "vertical": 0 }, "departure": { "iataCode": "YHM", "icaoCode": "CYHM" }, "arrival": { "iataCode": "YQM", "icaoCode": "CYQM" }, "aircraft": { "icaoCode": "B763", "regNumber": "CGYAJ", "icao24": "C08412" }, "airline": { "iataCode": "W8", "icaoCode": "CJT" }, "flight": { "iataNumber": "W8620", "icaoNumber": "CJT620", "number": "620" }, "system": { "updated": 1513148168, "squawk": "0000" }, "status": "en-route" } ]

Developer Information:

1) Available Endpoints &depIata= &depIcao= &arrIata= &arrIcao= &aircraftIcao= &regNum= &aircraftIcao24= &airlineIata= &airlineIcao= &flightIata= &flightIcao= &flightNum= &status= &limit= &lat=&lng=&distance=

2) Flights Tracker API Output

Specific flight based on: Flight IATA Number: GET http://aviation-edge.com/v2/public/flights?key=[API_KEY]&flightIata=W8519

All flights of a specific Airlines: GET http://aviation-edge.com/v2/public/flights?key=[API_KEY]&airlineIata=W8

Flights from departure location: GET http://aviation-edge.com/v2/public/flights?key=[API_KEY]&depIata=MAD

Flights from arrival location: GET http://aviation-edge.com/v2/public/flights?key=[API_KEY]&arrIata=GIG

Flights within a circle area based on lat and lng values and radius as the distance: GET https://aviation-edge.com/v2/public/flights?key=[API_KEY]&lat=51.5074&lng=0.1278&distance=100&arrIata=LHR

Combinations: two airports and a specific airline flying between them: GET http://aviation-edge.com/v2/public/flights?key=[API_KEY]&depIata=ATL&arrIata=ORD&airlineIata=UA

Market Analysis of Flight Data API The global Flight Data API market is expanding rapidly, with an estimated market size of USD XXX million in 2025 and a projected CAGR of XX% during the forecast period of 2025-2033. The increasing demand for real-time flight information by airlines, travel agencies, and businesses is driving the market growth. Additionally, the rising adoption of cloud-based solutions, advancements in data analytics, and the proliferation of mobile devices are contributing to the market's expansion. Key market trends include the integration of Flight Data APIs with travel booking platforms, the development of predictive analytics to optimize flight operations, and the emergence of low-cost carriers and budget airlines driving the demand for affordable flight data. However, data privacy concerns, limitations in data coverage, and the availability of alternative flight data sources may restrain market growth. The market is segmented based on application (SMEs and large enterprises), type (cloud-based and on-premises), and region (North America, Europe, Asia Pacific, South America, and Middle East & Africa). Prominent market players include Aviationstack, FlightAware, OpenSky, Cirium, and Trawex. This report provides comprehensive insights into the Flight Data API market, covering key trends, drivers, challenges, and opportunities. It analyzes the market landscape, including market size, segmentation, and competitive analysis, to provide a clear understanding of the market dynamics. The report also includes detailed profiles of key players in the industry, providing valuable insights into their strategies, product offerings, and financial performance.

You can connect to the actual flight routes around the world with your API key at any time with very fast response times. It is possible to view all routes at the same time via a single API key. For your convenience, we have also developed many different filters so that you can pull the exact data you are looking for. This way, you may get data of the routes of a specific airline, routes from or to a specific airport (both IATA and ICAO codes work), or may get an individual flight based on its flight number.

A common use of the air routes API is to develop software in the aviation industry. While Aviation Edge’s focus is to collect and maintaining aviation data, you are free to develop countless applications, tools, and platforms by using our data.

The details included in the routes data are: Departure data: IATA code, ICAO code, terminal, and time. Arrival data: IATA code, ICAO code, terminal, and time. Airline: IATA code of airline. Flight: Flight number. Aircraft: Registration number of the aircraft.

Here's an example response from the API: [ { "departureIata": "OTP", "departureIcao": "LROP", "departureTerminal": 2, "departureTime": "09:15:00", "arrivalIata": "TRN", "arrivalIcao": "LIMF", "arrivalTerminal": 1, "arrivalTime": "10:45:00", "airlineIata": "0B", "airlineIcao": "BMS", "flightNumber": "101", "codeshares": null, "regNumber": "YR-BAP" } ]

Developer information: 1) Available Endpoints &departureIata= &departureIcao= &airlineIata= &airlineIcao= &flightNumber=

2) Output Airports, Airlines or Flights routes output: GET http://aviation-edge.com/v2/public/routes?key=[API_KEY]&departureIata=OTP GET http://aviation-edge.com/v2/public/routes?key=[API_KEY]&departureIcao=LROP GET http://aviation-edge.com/v2/public/routes?key=[API_KEY]&airlineIata=0B GET http://aviation-edge.com/v2/public/routes?key=[API_KEY]&airlineIcao=BMS GET http://aviation-edge.com/v2/public/routes?key=[API_KEY]&flightNumber=101 For information about a specific route (example). GET http://aviation-edge.com/v2/public/routes?key=[API_KEY]&departureIata=OTP&airlineIata=0B&flightNumber=101

Explore comprehensive insights in Leads Rank TLD profiles, featuring detailed information for .flights. Utilize our API for efficient data access.

The airports the API returns include airports that have the submitted letters anywhere in them. For example, when the letters "ist" are requested, the API returns both "Istanbul Airport" and "Bristol Airport" (among other items).

The API is particularly useful for travel agency and flight booking websites, tools or apps to display the relevant airport and cities as a list for the user to choose from.

The city and airport data the Autocomplete API returns include: - IATA code and name, - Country code and name, - Airport location (latitude and longitude) - Time zone

1) Example Fields of Use - Travel agency and flight booking/schedule tracking websites, tools, apps where users are expected to submit a departure or arrival city or airport - Any autocomplete feature related to cities or airports

2) Example Input Airports and cities with the letters containing "xyz" in them:

GET http://aviation-edge.com/v2/public/autocomplete?key=[API_KEY]&city=xyz

3) Example Output [ { "code": "AMS", "name": "Amsterdam", "cityCode": "AMS", "cityName": "Amsterdam", "countryCode": "NL", "countryName": "Netherlands", "lat": 52.3730556, "lng": 4.8922222, "timezone": "Europe/Amsterdam", "type": "city" } ], "airports": [ { "code": "ZYA", "name": "Amsterdam Centraal Railway Station", "cityCode": "AMS", "cityName": "Amsterdam", "countryCode": "NL", "countryName": "Netherlands", "lat": 52.3730556, "lng": 4.8922222, "timezone": "Europe/Amsterdam", "type": "rail_station", "isRailRoad": 1, "isBusStation": 0 }, { "code": "AMS", "name": "Schiphol", "cityCode": "AMS", "cityName": "Amsterdam", "countryCode": "NL", "countryName": "Netherlands", "lat": 52.30907, "lng": 4.763385, "timezone": "Europe/Amsterdam", "type": "airport", "isRailRoad": 0, "isBusStation": 0 } ], "airportsByCities": }, ... ]

The flight search software market is experiencing robust growth, driven by the increasing adoption of online travel booking platforms and a surge in air travel globally. The market's expansion is fueled by several key factors. Firstly, the increasing penetration of smartphones and internet access, particularly in emerging economies, is leading to a substantial rise in online flight bookings. Secondly, the constant innovation in flight search technologies, including AI-powered personalized recommendations and advanced fare prediction algorithms, is enhancing user experience and driving market adoption. Thirdly, the growing preference for seamless and convenient booking experiences is pushing both airlines and online travel agencies (OTAs) to invest heavily in sophisticated flight search software. Competition amongst OTAs is also a significant factor, leading to continuous improvement and feature enhancements in their software offerings. The market is segmented by deployment type (cloud-based and on-premise) and user type (private and commercial). Cloud-based solutions are witnessing rapid growth due to their scalability and cost-effectiveness. Commercial users, encompassing airlines and OTAs, dominate the market share, driven by their need for comprehensive flight data and booking management capabilities. While the on-premise segment still holds a significant share, it's projected to witness slower growth compared to cloud-based solutions in the coming years. Geographic distribution shows robust growth across North America and Europe, attributed to high internet penetration and established online travel markets. However, growth in Asia-Pacific is expected to be particularly significant in the forecast period due to increasing disposable incomes and rising air travel demand in countries like India and China. Challenges include maintaining data accuracy, ensuring data security, and adapting to constantly evolving airline pricing and scheduling practices. The forecast period (2025-2033) anticipates continued market expansion, with a projected CAGR (Compound Annual Growth Rate) of approximately 12%, a figure derived from considering the historical growth trends and current market dynamics. This growth is expected to be fueled by ongoing technological advancements, increasing competition, and a sustained rise in global air travel. While regulatory hurdles and data privacy concerns pose potential restraints, the overall trajectory points towards a consistently expanding market for flight search software. The major players listed (Google, Momondo, Fareportal, TripAdvisor, etc.) are expected to continue their dominance, but smaller, innovative companies could disrupt the market with specialized niche solutions or disruptive technology. Growth will likely be most pronounced in areas with rising internet and mobile penetration and expanding middle classes.

Airport Passenger Service API Ecosystem Market Outlook

As per our latest research, the global Airport Passenger Service API Ecosystem market size reached USD 1.92 billion in 2024, reflecting robust digital transformation across the aviation sector. The market is projected to grow at a CAGR of 14.5% during the forecast period, reaching a value of USD 5.43 billion by 2033. This impressive growth trajectory is driven by increasing passenger expectations for seamless travel experiences, the proliferation of mobile applications, and the ongoing push for operational efficiency within airports and airlines worldwide.

A key driver of the Airport Passenger Service API Ecosystem market is the intensifying demand for real-time, personalized passenger services. As air travel rebounds post-pandemic, airports and airlines are under pressure to deliver enhanced customer experiences that prioritize convenience, safety, and transparency. APIs enable seamless integration of disparate systems, allowing for services such as mobile check-in, digital boarding passes, real-time flight updates, and personalized notifications. This not only improves passenger satisfaction but also streamlines operational workflows, reducing bottlenecks and manual interventions. The growing adoption of mobile devices and the rise of self-service kiosks are further amplifying the need for robust API-driven solutions in airport environments.

Another significant growth factor is the increasing collaboration between airlines, airports, and third-party travel service providers. The API ecosystem acts as a digital bridge, allowing stakeholders to share data securely and efficiently. This interconnectedness supports advanced functionalities like baggage tracking, loyalty program integration, and dynamic pricing for ancillary services. As travel becomes more interconnected, APIs enable a unified passenger journey, from booking and check-in to baggage retrieval and onward connections. Additionally, regulatory mandates for data transparency and passenger rights in regions like Europe and North America are compelling airports and airlines to invest in API-driven platforms that ensure compliance while improving service delivery.

The rapid evolution of cloud computing and artificial intelligence is also fueling market growth. Cloud-based API solutions offer scalability, flexibility, and cost-efficiency, making them attractive to both large international airports and smaller regional hubs. AI-powered APIs can analyze vast datasets in real time, enabling predictive maintenance, resource optimization, and proactive passenger communication. These technological advancements are empowering airports and airlines to anticipate passenger needs, mitigate disruptions, and enhance overall operational resilience. Furthermore, the rise of contactless travel solutions in the wake of health and safety concerns has accelerated the deployment of API-driven touchpoints, solidifying their role as a cornerstone of modern airport infrastructure.

From a regional perspective, North America and Europe currently dominate the Airport Passenger Service API Ecosystem market, driven by the presence of major international airports, high passenger volumes, and early adoption of digital technologies. However, Asia Pacific is emerging as the fastest-growing region, fueled by rapid airport infrastructure development, expanding middle-class populations, and government initiatives to modernize aviation services. The Middle East, with its strategic investment in smart airports, is also poised for significant growth. Latin America and Africa, while still in nascent stages, are expected to witness increased adoption as air travel demand rises and digital transformation initiatives gain momentum. Overall, the global market is characterized by a dynamic interplay of technological innovation, regulatory evolution, and shifting passenger expectations.

Service Type Analysis

The Airport Passenger Service API Ecosystem market by service type encompasses a wide array of solutions, including check-in & boarding, baggage handling, flight inform

The Flight Status Information Flight System market is experiencing robust growth, driven by increasing air travel demand and the imperative for enhanced flight safety and operational efficiency. The market, estimated at $5 billion in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching approximately $9 billion by 2033. This growth is fueled by several key factors. Firstly, the integration of advanced technologies such as real-time data analytics, improved satellite communication, and sophisticated software algorithms is revolutionizing flight tracking and information dissemination. Secondly, stringent regulatory compliance mandates, demanding precise and timely flight status updates, are pushing airlines and air navigation service providers to upgrade their systems. Thirdly, the rising adoption of connected aircraft and the Internet of Things (IoT) is contributing to a more data-rich environment, facilitating better real-time flight status monitoring and predictive maintenance. The market is segmented by various components, including hardware, software, and services, with software solutions witnessing the fastest growth due to their flexibility and scalability. Major players such as Safran Group, Honeywell Aerospace, and Boeing are driving innovation through strategic partnerships and technological advancements. Geographic growth varies, with North America and Europe currently holding the largest market share due to well-established aviation infrastructure and robust regulatory frameworks. However, regions like Asia-Pacific are exhibiting rapid growth, driven by increasing air passenger traffic and investments in modernizing aviation infrastructure. Challenges remain, however. High initial investment costs associated with system implementation and maintenance can act as a restraint for smaller airlines. Furthermore, ensuring cybersecurity and data privacy in the increasingly interconnected aviation ecosystem requires continuous investment and vigilance. Nevertheless, the overall market outlook remains positive, with substantial growth opportunities driven by technological innovation and the ongoing need for reliable and efficient flight status information systems.

The Future Schedules API is perfect for: • Travel agency and flight booking websites where users are expected to submit a date and view available flights • Websites, tools or apps to display scheduled flights on a given date • Flight schedule and airway traffic analysis based on region or dates

We have developed many filters you can use in the input to request the exact data you need without having to filter the data on your end.

The data includes: - Departure and arrival airport information: IATA codes - Weekday: The day of the week of the flight, "1" being Monday - Terminal and gate: The most common terminal and the gate number of the departing/arriving flight - Take-off information: Scheduled departure or arrival time of the flight - Aircraft details: Model code and text - Airline details: Name, IATA and ICAO codes - Flight information: Flight number with flight IATA and ICAO codes

1) Request For the departure schedule of a certain airport on a certain future date.

GET http://aviation-edge.com/v2/public/flightsFuture?key=[API_KEY]&type=departure&iataCode=BER&date=YYYY-MM-DD

For the arrival schedule of a certain airport on a certain future date.

GET http://aviation-edge.com/v2/public/flightsFuture?key=[API_KEY]&type=arrival&iataCode=BER&date=YYYY-MM-DD

For the flights that are scheduled to arrive at a certain airport on a certain date (out of a departure schedule).

GET http://aviation-edge.com/v2/public/flightsFuture?key=[API_KEY]&type=departure&iataCode=BER&arr_iataCode=ORY&date=YYYY-MM-DD

For the flights that are scheduled to depart from a certain airport on a certain date (out of an arrival schedule).

GET https://aviation-edge.com/v2/public/flightsFuture?key=[API_KEY]&type=arrival&iataCode=BER&dep_iataCode=ory&date=YYYY-MM-DD

2) Filters &iata_code= (obligatory) Departure or arrival airport IATA code depending on the "&type=" value &type= (obligatory) Either "departure" or "arrival" as both within the same query is not possible &date= (obligatory) Future date in YYYY-MM-DD format

&dep_iataCode= filter of departure airport if "arrival" for "&type=" was chosen, based on the airport IATA code &dep_icaoCode= filter of departure airport if "arrival" for "&type=" was chosen, based on the airport ICAO code &arr_iataCode= filter of arrival airport if "departure" for "&type=" was chosen, based on the airport IATA code &arr_icaoCode= filter of arrival airport if "departure" for "&type=" was chosen, based on the airport ICAO code &airline_iata= option to filter airline based on airline IATA code &airline=icao= option to filter airline based on airline ICAO code &flight_num= option to filter a specific flight based on its flight number

3) Example Output: [ {"weekday": "1", "departure": { "iataCode": "mty", "icaoCode": "mmmy", "terminal": "c", "gate": "f2", "scheduledTime": "20:35" }, "arrival": {"iataCode": "iah", "icaoCode": "kiah", "terminal": "d", "gate": "d12", "scheduledTime": "22:00" }, "aircraft": {"modelCode": "a320", "modelText": "airbus a320-232" }, "airline": {"name": "vivaaerobus", "iataCode": "vb", "icaoCode": "viv"}, "flight": {"number": "616", "iataNumber": "vb616", "icaoNumber": "viv616"} } ]

Note: Schedules that are up to 1 year ahead of the current date are available.

Flight Express S A Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

A passenger flight schedule information service that displays information such as airline name, airport name, airport code, start date, end date, flight number, day of the week information, season code value, code type, master flight number, etc. of passenger flights departing/arriving at Incheon Airport in multiple languages (Korean, English, Japanese, Chinese) using the airport code value as a search condition. ※ It may differ from the information on MASTER FLIGHT/SLAVE flight numbers provided by the open daily flight API. Please be informed that the data is for one season (summer: late March to late October/winter: late October to late March of the following year) and the update cycle is different from the daily flight API below. * Passenger flight operation status detailed inquiry service API, passenger flight weekly operation status API, passenger flight operation status (multilingual) API

International Round-Trip Flight Prices Dataset (SQLite)

This project collects international round-trip flight pricing data over a defined date range and duration from Atlanta (ATL) to 9 international destinations. It saves this structured flight information to a SQLite database and enables flexible downstream querying and visualization. Each entry represents a real flight quote retrieved from a travel search API under fixed conditions. The data is structured, time-stamped, and ready… See the full description on the dataset page: https://huggingface.co/datasets/egupta/atl-intl-flight-data-sql-db.

Domestic One-Way Flight Prices Dataset (SQLite)

This project collects domestic one-way flight pricing data over a defined date range and duration from Atlanta (ATL) to 10 US cities. It saves this structured flight information to a SQLite database and enables flexible downstream querying and visualization. Each entry represents a real flight quote retrieved from a travel search API under fixed conditions. The data is structured, time-stamped, and ready for time-series, pricing trend… See the full description on the dataset page: https://huggingface.co/datasets/egupta/atl-dom-flight-data-sql-db.

(Korean, English, Japanese, Chinese) Regular passenger flight schedule information service that displays information such as airline name, airport name, airport code, start date, end date, flight number, day of the week information, season code value, codeshare classification, and master flight number for passenger flights departing/arriving at Incheon Airport using the airport code value as a search condition. ※ It may differ from the information on MASTER FLIGHT/SLAVE flight numbers provided by the open daily flight status API. Please be informed that the data is for one season (summer: late March to late October/winter: late October to late March of the following year) and the update cycle is different from the API below. * Passenger flight operation status detailed inquiry service API, passenger flight weekly operation status API, passenger flight operation status (multilingual) API, etc.

This dataset contain information about: The number of flights executed, the number of buses and their capacity, and the number of passengers between cities for previous years, by year, month, and the city of departure

Motivation

The data in this dataset is derived and cleaned from the full OpenSky dataset to illustrate the development of air traffic during the COVID-19 pandemic. It spans all flights seen by the network's more than 2500 members since 1 January 2019. More data has been periodically included in the dataset until the end of the COVID-19 pandemic.

We stopped updating the dataset after December 2022. Previous files have been fixed after a thorough sanity check.

License

See LICENSE.txt

Disclaimer

The data provided in the files is provided as is. Despite our best efforts at filtering out potential issues, some information could be erroneous.

Origin and destination airports are computed online based on the ADS-B trajectories on approach/takeoff: no crosschecking with external sources of data has been conducted. Fields origin or destination are empty when no airport could be found.

Aircraft information come from the OpenSky aircraft database. Fields typecode and registration are empty when the aircraft is not present in the database.

Description of the dataset

One file per month is provided as a csv file with the following features:

callsign: the identifier of the flight displayed on ATC screens (usually the first three letters are reserved for an airline: AFR for Air France, DLH for Lufthansa, etc.)

number: the commercial number of the flight, when available (the matching with the callsign comes from public open API); this field may not be very reliable;

icao24: the transponder unique identification number;

registration: the aircraft tail number (when available);

typecode: the aircraft model type (when available);

origin: a four letter code for the origin airport of the flight (when available);

destination: a four letter code for the destination airport of the flight (when available);

firstseen: the UTC timestamp of the first message received by the OpenSky Network;

lastseen: the UTC timestamp of the last message received by the OpenSky Network;

day: the UTC day of the last message received by the OpenSky Network;

latitude_1, longitude_1, altitude_1: the first detected position of the aircraft;

latitude_2, longitude_2, altitude_2: the last detected position of the aircraft.

Examples

Possible visualisations and a more detailed description of the data are available at the following page:

Credit

If you use this dataset, please cite:

Martin Strohmeier, Xavier Olive, Jannis Lübbe, Matthias Schäfer, and Vincent Lenders "Crowdsourced air traffic data from the OpenSky Network 2019–2020" Earth System Science Data 13(2), 2021 https://doi.org/10.5194/essd-13-357-2021

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