Scraping airline websites to retrieve rates works similarly to any other price comparison use case. By consolidating all bargains and fair rates onto one website, your clients will be able to find the best deals on airfares and bookings.

Websites that offer travel bargains keep an eye on their competitors and are alerted when they visit their site, feeding them inaccurate information in order to keep costs competitive.

For scraping airline websites, you will need the Python 3.5 version of the scraper. Then, you will need to install the data into a CSV file and also the dates that you want to scrape. Then, execute the code and you will find the output of every flight is a CSV file.