Success Story – Collecting Pricing Data from Hotel Booking Websites on a Large Scale
This case study shows how DxMinds met a client’s needs by providing large-scale pricing data scraping from hotel booking websites.
A popular Indian travel website wanted a tech solution to compare hotel prices.
Main Challenges
Hotel Price Matching for Different Booking Portals
Our client needed a system to match hotel prices with data scraped from competitors’ websites. These sites had complex code and thousands of hotel listings, requiring a strong infrastructure and advanced resources. The client lacked the technical skills for this and needed a managed service to handle the data scraping. Additionally, the data needed to be scraped twice daily, which demanded significant resources.
Proven Solution
Our client shared detailed requirements, including targeted websites, crawling frequency, preferred data formats, and specific data points to scrape. The project fell under our website crawling services as the sites had various designs and structures. They needed the data in JSON format and were ready to use our scraping services for accessing the data.
Following their instructions, we scraped different websites at varying frequencies: daily, twice a day, or fortnightly. Our team set up a web scraper for three targeted websites in just five days and provided the initial data files to the client. We delivered about 2.5 million records during the initial crawl, solving their price-matching issue.
Benefits of Hotel Data Scraping
Value: The project delivered 50 times more value than the cost.
Flexibility: Our system sends updates with new data, allowing clients to easily add new files when available.
Cost Savings: The client saved about 37% by avoiding the need to build an in-house scraping team.
Improved Data Quality: Data quality increased significantly without requiring extra time from a team.
Faster Turnaround: Faster data processing enhanced the client’s ability to market their services.
Increased Productivity: The data team had more time to focus on other projects, helping the client grow into new areas.
Daily Data Access: The client received straightforward access to around 1 million price points daily.
