Crawling Hotel Prices Using Pricing Optimization

Summary

The travel and hotel sector is constantly evolving, with exabytes of information getting updated regularly, if not hourly. It is used to be difficult to keep track of and manage hotel listings across many platforms, but that is no longer the case thanks to technology.

Web scraping hotel rates can provide daily price data, allowing you to automate and enhance your hotel performance matching process. With the entire world wide web operating as a repository, access to reliable and meaningful information at the correct moment becomes critical for enterprises operating in the dynamic travel industry.

Here is one example showing one such requirement that we successfully fulfilled.

Client Profile

The hotel pricing of a well-known Indian budget hotel chain had to be updated twice a day. The client required daily pricing data from themselves and their competitors and was looking for a web scraping service provider to assist them.

Required Hotel Information

The client provided us with specific requirements:

They will mention the check-in and check-out dates. These files will be posted to a file-sharing server, and our web scraping software will be ready to take them up and process them at a predetermined time.

Web crawl frequency was twice a day, and fields for extraction were predetermined and in a specific order as requested by the client.

The data crawled on a given day must be completed and delivered by 2359 hours the following day. Hotel costs must be received in INR exclusively.

Inventory Crawls of hotel information will be conducted out twice a month to keep the database up to date.

This information was utilized to locate additional hotels in the area and form strategic partnerships with them to expand the network throughout the country.

Approximate Monthly Data Volumes and Target Sites

The majority of India’s leading OTAs (Online Travel Agents) with a monthly volume of over 30 million records. Depending on the files submitted by the client, around 300,000 to 400,000 records were delivered per site every day.

Web Scraping Hotel Rates

We designed the crawlers to search for the files on the hosting server at a pre-determined time and pick them up if they were available. Once in the morning and once in the afternoon, the crawler would look for files.

To ensure data transmission before 2359 hours of a given day, more scripts were built and additional resources were used.

The crawlers were set up to determine whether the currency was in Indian rupees. The crawlers were designed to alter the amount into INR if it wasn’t INR. When servers from all around the globe were used to crawl the data.

Advantages of Scraping Hotel Prices

As needed, frequent and customizable access to the required data. With a team dedicated to the client-side who were directly involved with this activity, they were able to save roughly 23% on costs.
They had access to updated data on a biweekly basis (fortnightly) and were in a stronger position to expand their presence across the nation with a bi-monthly inventory crawl.
They were able to save around 23% on expenditures thanks to a dedicated crew on the client end who were actively involved with this activity.
They had biweekly (fortnightly) access to updated data and were in a better position to spread their footprint across the country with a biweekly product crawl.
Because the search engine only collects data if it is accessible, the client has the option of only uploading files as needed.

Conclusion

While the implementation of such a use case was difficult, once it was done, the client was able to effectively use the retrieved information to improve their promotional pricing strategy.

Conclusion

Our LinkedIn Post Data Analysis offered proof of how analytics-based data can revolutionize B2B content strategy. The shift toward structured performance data and less guesswork allowed the client to enhance the level of engagement, attract the right people, and produce more qualified leads. This case study demonstrates the knowledge of iWeb Scraping, which has the expertise of developing custom data extraction and analytics solutions on individual platforms. By being in 20+ industries, we assist businesses to maximize all the potential of the online presence with precise and useful real-time data insights.

Share this Article :

Looking for Scalable Scraping Solutions?

Get tailored extraction services built for enterprise and startup needs alike.

What Our Clients Say

Robert Moris

USA

We approached iWeb Scraping for extracting product listings from an osCommerce-based website along with multiple eCommerce platforms. Their team delivered clean, structured, and highly accurate datasets that perfectly matched our requirements. The entire process was smooth and professional.

David Watson

I used iWeb Scraping services for an online job data extraction project, and the results were highly accurate and cost-effective. The data was delivered exactly as required, and I would definitely choose their services again for future data extraction needs.

Rebecca Sudan

UAE

I’m really impressed with the web scraping services provided by iWeb Scraping. The process was fast, seamless, and highly precise. The final dataset was accurate and delivered without any issues. We are fully satisfied with the outcomes.

Sandra Bernhard

Germany

My first experience with iWeb Scraping was for a small data extraction task, and it went exceptionally well. Since then, I have continued using their web scraping services regularly. Their accuracy, speed, and reliability make them one of the best companies I’ve worked with.

Elizabeth Nelson

USA

iWeb Scraping has been a valuable partner for our business. It’s rare to find a company that delivers web scraping, data extraction, and screen scraping services with such speed and precision. Their data quality and consistency have been outstanding.

Learn More About us