Scraping Hotel Prices to Support Travel Trends & Market Research
3i Data Scraping has helped the client in understanding travel trends and market research. Addressing the challenges and providing solutions, clients found useful insights about their competitors. We provided the client a simple, concise, and user-friendly dashboard that gives a bird’s-eye view of all insights. The project helps our client to achieve operational efficiency and long-term profitability in the travel industry.
About Client
Our client provides services in hospitality, investment, and tourism. The client provides unmatched experience in flight booking, hotel booking, and arranges tour packages for families, individuals, and business clients. They partner with top airlines, hotels, and tour providers to provide ideal deals with a comfortable and customized experience to their customers.
Client Requirement
A travel research and analytical company partners with us to collect real-time hotel pricing data from multiple booking platforms. They want to track the price that varies across locations, monitor competitor rates, and identify emerging travel patterns in hospitality, tourism, and investment sectors. The client wishes to get insights like market trends, dynamic pricing strategies, seasonal trends, etc., to provide profitable travel packages to their customers.
Challenges
We encountered a few challenges during this project. These challenges were as follows:
Solution
To address the above changes, we found the following solutions:
We developed a robust data scraping tool that works well with a headless browser, a browser without a GUI, and JavaScript rendering to manage dynamic content.
3i Data Scraping integrated an API like Google Translate to translate and handle multilingual websites. We created an API that normalizes all pricing into the desired currency of the client.
We had used geo-targeted or IP rotating proxies to ensure no restrictions occur when scraping Hotel prices. This strategy mimics someone accessing a travel or hotel website from a different location than the current one.
Designed a middleware layer using an ETL pipeline that can convert the extracted amount into understandable prices. We used various tools like custom APIs and Zapier that automate these prices to sync existing systems.
Impact
By developing a robust hotel price scraping system, the client could fulfill their requirement without degrading the performance. The client’s travel agency significantly improved its market responsiveness and pricing competitiveness. It helps them to receive accurate Hotel prices to make data-driven decisions without any hitch.
