A collection of Python scripts used to extract airport and airline data from Wikipedia pages and .csv files. Scanning of HTML is done using tools from the BeautifulSoup4 library. Extracted data is outputted into XML files for downstream applications.
Global airport directory sorted by country/region/territory (csv_airports.py)
Reads .csv files containing global airport information obtained from OurAirports, and combines data into uniform data structures for output into .xml files organized by country/region/territory in the airport_data folder.
Country-specific airport data (busiest-airports.py)
Reads Wikipedia pages that list airports in a particular country (example: Airports in Turkey) and extracts airport locations and names for printing to the console.
Airlines sorted by airport hub (hubs_reader.py)
Extracts data about global hub airports, and their local airlines, from the .html file of the Hub Airport Wikipedia page. This airline data is outputted into an .xml file.
Airline fleet composition (airline_fleet_reader.py)
Scans the HTML of a specified Wikipedia page which contains a table listing the airline's entire fleet of aircraft (example: Air France). For each fleet it identifies the aircraft model names, number and passenger seating configurations for output to .xml files organized by airline name in the airline_fleet_xml folder.
Use and run this code at your own risk. By cloning or downloading any portion of this repository, you agree that the @What-Is-A-Username will hold no liability for any harm done, including but not limited to computer damage or irreversible deletion of user files.