The Airport Traffic Data API is designed to allow consumers to fetch the dataset in a granular way: one endpoint for retrieving all airport names, another for querying airport locations by name, and a third for accessing detailed statistics such as total passengers, international passengers, and rankings. It supports query parameters for filtering and sorting, ensuring that developers and analysts can easily integrate airport traffic data into their systems for reporting, analytics, and visualization.
[
{
"names": [
"Hartsfield–Jackson Atlanta International Airport",
"Dubai International Airport",
"Dallas Fort Worth International Airport",
"Tokyo Haneda Airport",
"Heathrow Airport",
"Denver International Airport",
"O'Hare International Airport",
"Istanbul Airport",
"Indira Gandhi International Airport",
"Shanghai Pudong International Airport",
"Los Angeles International Airport",
"Guangzhou Baiyun International Airport",
"Seoul Incheon International Airport",
"Charles de Gaulle Airport",
"Singapore Changi Airport",
"Beijing Capital International Airport",
"Amsterdam Airport Schiphol",
"Adolfo Suárez Madrid–Barajas Airport",
"John F. Kennedy International Airport",
"Shenzhen Bao'an International Airport",
"Suvarnabhumi Airport",
"Frankfurt Airport",
"Charlotte Douglas International Airport",
"Harry Reid International Airport",
"Orlando International Airport",
"Kuala Lumpur International Airport",
"Miami International Airport",
"Josep Tarradellas Barcelona–El Prat Airport",
"Chengdu Tianfu International Airport",
"Soekarno–Hatta International Airport",
"Chhatrapati Shivaji Maharaj International Airport",
"Hong Kong International Airport",
"Hamad International Airport",
"Seattle–Tacoma International Airport",
"Phoenix Sky Harbor International Airport",
"San Francisco International Airport",
"Ninoy Aquino International Airport",
"Beijing Daxing International Airport",
"Leonardo da Vinci Rome Fiumicino Airport",
"King Abdulaziz International Airport",
"Newark Liberty International Airport",
"Chongqing Jiangbei International Airport",
"George Bush Intercontinental Airport",
"Hangzhou Xiaoshan International Airport",
"Shanghai Hongqiao International Airport",
"Kunming Changshui International Airport",
"Xi'an Xianyang International Airport",
"Toronto Pearson International Airport",
"El Dorado International Airport",
"Mexico City International Airport"
]
},
{
"names": [
"Taiwan Taoyuan International Airport",
"Mexico City International Airport",
"Kunming Changshui International Airport",
"Munich Airport",
"Orlando International Airport",
"Miami International Airport",
"Phoenix Sky Harbor International Airport",
"Sydney Kingsford-Smith Airport",
"Newark Liberty International Airport",
"Ninoy Aquino International Airport",
"Shanghai Hongqiao International Airport",
"Xi'an Xianyang International Airport",
"Rome–Fiumicino International Airport \"Leonardo da Vinci\"",
"George Bush Intercontinental Airport",
"Narita International Airport",
"Sheremetyevo International Airport"
]
}
]
curl --location --request POST 'https://zylalabs.com/api/8548/airport+traffic+data+api/14982/get+all+airport+names' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{}'
[
{
"airport_name": "Istanbul Airport",
"location": "Arnavutköy, Istanbul",
"country": "Turkey"
},
[]
]
curl --location --request POST 'https://zylalabs.com/api/8548/airport+traffic+data+api/14983/get+airport+location+by+name' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"name":"Required"}'
[
{
"airport_name": "Heathrow Airport",
"total_passengers": 83882140,
"ranking": 5,
"rank_change": "01",
"%_change": "5.9%"
},
[]
]
curl --location --request POST 'https://zylalabs.com/api/8548/airport+traffic+data+api/14984/get+detailed+airport+traffic+statistics' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"name":"Required"}'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
The Airport Traffic Data API provides structured data about airport names, locations, and detailed traffic statistics, including total passengers, international passengers, and airport rankings.
The API returns data in a structured format, typically JSON, which allows for easy integration and consumption by various applications and systems.
The API can be used for reporting and analytics in travel and transportation sectors, visualization of airport traffic trends, and integration into applications that require real-time or historical airport data.
Users can access fields such as airport names, geographical locations (latitude and longitude), total passenger counts, international passenger counts, and airport rankings.
Developers can utilize the API's endpoints to fetch specific data as needed, applying query parameters for filtering and sorting results, which facilitates seamless integration into their applications for enhanced data analysis.
This endpoint returns a comprehensive list of airport names from the dataset of the world’s busiest airports by passenger traffic. The response is structured as a JSON array containing an object with a "names" key, which holds the list of airport names.
The response includes fields such as "airport_name," "location," and "country." This provides users with the specific name of the airport, its geographical location, and the country in which it is situated.
Users can customize their requests by utilizing query parameters available in the endpoints. For example, when retrieving detailed traffic statistics, users must specify the airport name as a parameter to get relevant data for that specific airport.
The response is structured as a JSON array containing objects with fields such as "airport_name," "total_passengers," "ranking," "rank_change," and "%_change." This organization allows users to easily access and interpret the traffic statistics for each airport.
This endpoint provides detailed statistics including total passenger counts, international passenger counts, airport rankings, rank changes, and percentage changes in traffic. This data is essential for analyzing airport performance and trends.
Users can leverage the structured JSON responses to integrate airport data into applications for reporting, analytics, or visualization. For instance, they can create dashboards that display traffic trends or compare airport performance based on the statistics provided.
Typical use cases include travel industry analytics, airport performance benchmarking, trend analysis for passenger traffic, and integration into travel planning applications that require real-time or historical airport data.
Users should check the response for empty arrays or null values, indicating no data available for the requested query. Implementing error handling in their applications can ensure a smooth user experience, allowing for fallback options or alternative queries.
Please have a look at our Refund Policy: https://zylalabs.com/terms#refund
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