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Addressing Researchers' Quest for Hospitality Data: Mechanism for Collecting Data from Web Resources

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Data collection is always a challenge. Researchers in the hospitality and tourism industry can benefit from the extensive amount of industry related data that are publicly available on the Internet. The issue holding most researchers back is how to efficiently collect such data. This article provides a solution: automated data collection using Web spiders. The coding logic needed to implement a custom Web spider is outlined. Also addressed are the ethical and operational issues associated with Web spiders.
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Keywords: AUTOMATED DATA COLLECTION; ETHICS; WEB MINING; WEB SPIDER

Document Type: Research Article

Publication date: 2008-05-01

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  • The aim of Tourism Analysis is to promote a forum for practitioners and academicians in the fields of Leisure, Recreation, Tourism, and Hospitality (LRTH). As a interdisciplinary journal, it is an appropriate outlet for articles, research notes, and computer software packages designed to be of interest, concern, and of applied value to its audience of professionals, scholars, and students of LRTH programs the world over.
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