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PromptCloud Inc, 16192 Coastal Highway, Lewes De 19958, Delaware USA 19958
We are available 24/ 7. Call Now. marketing@promptcloud.comIn the dynamic world of the travel and hotel industry, a vast amount of data is constantly updated, often on an hourly basis. Managing hotel listings across multiple platforms can be a daunting task, but technology has made it easier than ever before.
Access to accurate and structured data in a timely manner is crucial for businesses operating in the ever-changing Travel industry. Web scraping can provide daily price data for hotels, streamlining and optimizing the price-matching process.
Below is one such use case where PromptCloud supported a hotel chain’s requirement.
A prominent budget hotel chain in India needed to update their hotel prices twice a day and required daily pricing data for themselves and their competitors. They sought the assistance of a web scraping service provider, PromptCloud, to efficiently gather this information and harvest the data they required.
The client had a clear set of requirements that needed to be met:
The purpose of collecting this data was to identify new hotels in the region and collaborate with them to expand the hotel’s network across the country in a strategic manner.
PromptCloud provided the data from most of the major Online Travel Agents (OTAs) in India, with a volume of approximately 30 million records per month. Our robust platform delivered around 300,000 to 400,000 records per site per day, based on the files uploaded by the client.
Explore more use cases that demonstrate how PromptCloud’s web scraping tool can help businesses gain a competitive edge by providing access to valuable data insights that can inform pricing, marketing, and strategic decisions.
Since the data was being crawled from servers around the world, we programmed the crawlers to avoid overloading the target servers and potentially getting blocked, while still capturing all necessary data before the deadline.
Except for the initial onboarding period, the process was completely automated. In case of any disruptions in service, the support team was automatically updated to ensure a smooth operation of the crawls.
Although the initial setup presented challenges, once implemented, the client effectively utilized the extracted data to enhance their pricing and promotion strategies.
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