Success Story – Flight Schedule Monitoring Powered by Data Mining

February 24, 2023

Feb 24, 2023

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A Well-known Spanish Airline Company Wanted to Track Flight Schedules Data of Various Aircraft to Empower Their Analytics System.

BOOST FLIGHT SCHEDULE MONITORING USING AIRLINES DATA MINING

Client

A Well-known Spanish Airline Company Wanted to Track Flight Schedules Data of Various Aircraft to Empower Their Analytics System.

Challenge

The client was looking to scrape flight schedule data for various aircraft (mining based on the model numbers) from flight tracking websites. They need to include this data in their analytics system as well as derive insights, which would assist them in optimizing their inner flight schedules. As the data provided by a flight data monitoring website was formless, they couldn’t use it programmatically to do analyses. The data was extracted within the frequency of 3 days as well as delivered in the CSV format.

boost-flight-schedule-monitorin-using-airlines-data-mining
SOLUTION

SOLUTION

The client had provided us the details of the requirements like source site, URLs to get scrapped, as well as data points to get scraped. The crawling frequency was set at 3 days. After making the feasibility of crawling, our team has set the crawlers for extracting the necessary data fields from a targeted website. As it is a customized use case, it comes underneath our website-specific crawling offerings where we create crawler sets from the scratch for targeted websites. We have completed the primary setup within a few days as well as the initial set of data having around 300k records was given to this client.

X-BYTE SOLUTION

Setting up the Crawler – The crawler was initially configured such that it could automatically scrape product price and essential data fields for present categories on a daily basis.

Data Template : A template was created utilizing data structuring based on the schema provided by the customer.

Delivery of Data : Without any manual input from either side, the closing data was supplied in an XML format through Data API regularly.

The dataset had all the information including comments, news timelines, most viewed articles, customer behaviour, etc. All of the scraped data was indexed using hosted indexing components, and search APIs were made available so that a client could get the results every few minutes.

ADVANTAGES

  • All the difficult aspects of data scraping were treated well by us
  • The primary setup was finished within a matter of only a few days as well as data flow was constant thereafter
  • We have set monitoring systems for resources to make sure a smoother data flow
  • An enormous amount of data was effortlessly handled by our wide-ranging infrastructure
advantages
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