Success Story: How Our Airfare Data Scraping Services from OTAs Enhanced Service Quality for a Major Airline
This case study shows how DxMinds improved services for a top airline by using advanced technology to gather airfare data more effectively.
As the airline industry has grown, airlines are competing to attract customers with innovation and value. To stay ahead, they are using advanced airline data scraping services. This case study shows how a major airline used data from various OTA platforms to advance its business.
Business Challenge
In the fast-paced airline industry, there’s a high risk of human error due to the constant need for accurate data. Our client wanted to create a data-driven pricing optimization system to set flight ticket prices and improve profit margins. They needed access to well-organized flight data, including arrival and departure times, gate details, pricing, and flight numbers from various airline websites and travel agencies around the world.
The client faced several challenges:
- Market Losses: They needed a model to study competitive pricing to avoid losing market share to competitors.
- Dynamic Pricing: They wanted to use airline pricing data to implement dynamic pricing strategies that could boost profits while maintaining the brand’s reputation.
The existing internal tools for extracting airline data were not accurate enough for their needs. So, the client turned to DxMinds for our web scraping solutions to get better results.
DxMinds Airline Data Mining Solutions
Our team at DxMinds tackled the client’s challenges with a three-step approach. First, we gathered the project requirements. Next, our web scrapers set up the data collection infrastructure based on those needs. Finally, we delivered the airline data in the required format and frequency.
We scraped key data points including trip names or IDs, trip day, plane name, arrival and departure airports, flight prices, place codes, arrival and departure times, stops, check-in and check-out times, flight pricing monitoring, and sightseeing options. We extracted data from major airlines such as Aeroflot, American Airlines, Air Canada, Air India, Air France, Air Mauritius, British Airways, Alaska Airlines, Emirates, Cathay Pacific, Gulf Air, Continental Airlines, Jet Air Emirates, Indian Airlines, Kuwait Airways, Kenya Airways, Malaysia Airlines, Lufthansa, Singapore Airlines, Qantas Airways, United Airlines, Qatar Airways, and Virgin Atlantic.
We set up a data pipeline to automatically provide the data to the client through our Airline Travel Data API. Our dedicated team worked exclusively on this project to ensure the highest quality data. We kept in regular contact with the client to discuss key performance indicators, address any issues, and align the data scraping system with their business goals.
Business Outcomes
DxMinds’ airline data scraping solutions have enabled clients to gather pricing information from various airlines through online travel platforms. This data allowed our clients to compare prices with the general market and adjust their pricing strategies based on competitors’ rates.
By scraping data from consumer feedback forums and social media, we helped clients understand customer sentiments about their products and services. This insight was crucial for creating targeted marketing strategies and improving products and services to better meet customer needs.
Our airline data mining services provided clients with detailed information on travel bookings and airline tickets according to their specifications. Our expertise in airfare data scraping helped clients monitor price changes, which fluctuate due to factors like tourist seasons, holidays, weather, and destination conditions.
Within a year, our client doubled customer satisfaction by optimizing their pricing strategy, which also increased their profit margins by 17%.
Top e-commerce leaders rely on DxMinds to scrape e-commerce websites and obtain high-quality data. Stay ahead in the market with our data scraping services!
