Download Flight List v0.0.2 Datasets

Below you will find links to download flight list v0.0.2 data files from January 01, 2022 to April 30, 2025. Each file is in Parquet format, providing a highly efficient way to store and manage large datasets. The datasets are organized by month.

Automated Download

If you want to automate your downloads, you can generate the link for downloading using the following format where YYYYMM is the year and month of interest.

https://www.eurocontrol.int/performance/data/download/OPDI/v002/flight_list/flight_list_{YYYYMM}.parquet

import os
import requests
from datetime import datetime, timedelta
from dateutil.relativedelta import relativedelta

def generate_urls(data_type: str, start_date: str, end_date: str) -> list:
    """
    Generate a list of URLs for flight lists, flight events, or measurements.

    Args:
        data_type (str): Type of data ("flight_list", "flight_events", "measurements").
        start_date (str): The start date in the format YYYYMM or YYYYMMDD.
        end_date (str): The end date in the format YYYYMM or YYYYMMDD.

    Returns:
        list: List of generated URLs.
    """
    base_url = f"https://www.eurocontrol.int/performance/data/download/OPDI/v002/{data_type}/{data_type}_"

    urls = []
    
    if data_type == "flight_list":
        start_dt = datetime.strptime(start_date, "%Y%m")
        end_dt = datetime.strptime(end_date, "%Y%m")
        delta = relativedelta(months=1)
    
    current_dt = start_dt
    while current_dt <= end_dt:
        url = f"{base_url}{current_dt.strftime('%Y%m')}.parquet"
        urls.append(url)
        current_dt += delta

    return urls

def download_files(urls: list, save_folder: str):
    """
    Download files from the generated URLs and save them in the specified folder.

    Args:
        urls (list): List of URLs to download.
        save_folder (str): Folder to save downloaded files.
    """
    os.makedirs(save_folder, exist_ok=True)

    for url in urls:
        file_name = url.split("/")[-1]
        save_path = os.path.join(save_folder, file_name)

        if os.path.exists(save_path):
            print(f"Skipping {file_name}, already exists.")
            continue

        print(f"Downloading {url}...")

        try:
            response = requests.get(url, stream=True)
            response.raise_for_status()

            with open(save_path, "wb") as file:
                for chunk in response.iter_content(chunk_size=1024):
                    file.write(chunk)

            print(f"Saved to {save_path}")

        except requests.exceptions.RequestException as e:
            print(f"Failed to download {url}: {e}")

if __name__ == "__main__":
    datasets = {
        "flight_list": ("202201", "202411")
    }

    for data_type, (start_date, end_date) in datasets.items():
        urls = generate_urls(data_type, start_date, end_date)
        download_files(urls, f"./data/{data_type}")
library(httr)
library(lubridate)
library(fs)

generate_urls <- function(data_type, start_date, end_date) {
  base_url <- paste0("https://www.eurocontrol.int/performance/data/download/OPDI/v002/", data_type, "/", data_type, "_")
  urls <- c()
  
  start_dt <- ymd(paste0(start_date, "01"))
  end_dt <- ymd(paste0(end_date, "01"))
  delta <- months(1)

  current_dt <- start_dt
  while (current_dt <= end_dt) {
    url <- paste0(base_url, format(current_dt, "%Y%m"), ".parquet")
    urls <- c(urls, url)
    current_dt <- current_dt + delta
  }

  return(urls)
}

download_files <- function(urls, save_folder) {
  if (!dir_exists(save_folder)) {
    dir_create(save_folder)
  }

  for (url in urls) {
    file_name <- basename(url)
    save_path <- file.path(save_folder, file_name)

    if (file_exists(save_path)) {
      message("Skipping ", file_name, ", already exists.")
      next
    }

    message("Downloading ", url, "...")

    tryCatch({
      response <- GET(url, write_disk(save_path, overwrite = TRUE))

      if (http_error(response)) {
        warning("Failed to download ", url, ": HTTP error ", status_code(response))
      } else {
        message("Saved to ", save_path)
      }

    }, error = function(e) {
      warning("Failed to download ", url, ": ", e$message)
    })
  }
}

# Example usage
urls <- generate_urls("flight_list", "202201", "202411")
download_files(urls, "./data/flight_list")

Download Available Datasets

Each dataset corresponds to a specific month and year, listed below for easy access.

We hope you find these datasets useful for your analysis and research. If you have any questions or require further assistance, please contact us at [email protected].

List of Acronyms