Extracting Pricing Data from Travel Portals to Optimize Pricing Strategies
This case study refers to how our company helped a leading travel agency to streamline its pricing strategy by extracting precise and accurate pricing data from multiple travel portals. The project involved addressing challenges such as dynamic pricing, frequent data updates, and varying data structures across several platforms. The outcome was a scalable solution that enabled the client to gain a competitive-edge and optimize their pricing strategies effectively.
About Client
The client is leading online travel agency expertise in providing flight, hotel, and car rental bookings. With operations spanning across multiple countries, the company serves millions of users daily. Their goal is to provide customers with the best travel deals available and options, making their platform the go-to choice for travelers across the world.
Client Requirement
The client required a comprehensive solution to extract and analyze real-time pricing data from targeted travel portals, including flights, hotels, and car rentals. They required a system capable of handling dynamic pricing fluctuations, updating frequently throughout the day, and standardizing data from multiple sources for accurate comparison. Additionally, the solution had to be scalable to accommodate high data volumes, compliant with legal guidelines, and efficient in overcoming anti-scraping measures such as CAPTCHAs and IP blocking.
Challenges
While delivering the result to the client, our experts faced several challenges:
Solution
To address the client’s requirements and challenges, we developed a customized data extraction system leveraging advanced web scraping tools and technologies. The solution included custom web crawlers, real-time data monitoring, and techniques to bypass anti-bot mechanisms. Data was standardized and processed using scalable cloud infrastructure to ensure efficiency, and compliance with legal guidelines.
Designed and implemented custom web crawlers for travel portals.
Scheduled real-time data monitoring to extract updates.
Standardized extracted data into a unified format for seamless comparison.
Deployed IP rotation and CAPTCHA-solving techiques to bypass anti-bot systems.
Utilized scalable cloud-based infrastructure to manage large data volumes efficiently.
Ensured compliance with legal requirements through thorough policy reviews.
Automated data pipelines to reduce manual intervention and enhanced efficiency.
Impact
The implemented solution empowered the client with real-time pricing insights, allowing them to optimize their pricing policies. By enhancing the pricing policies, the client experienced a 20% increase in bookings within three months. Automation significantly reduced manual effort, saving over 40 hours per week, while the standardized data ensured accurate comparisons across platforms. Also, timely updates increased customer trust by displaying the latest deals, contribute to improve user satisfaction and loyalty.
