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  <titleInfo>
    <title>Usage of web scraping in business market research in the travel industry</title>
  </titleInfo>
  <name type="personal">
    <namePart>Ahmadzai, Sameera</namePart>
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  <name type="personal">
    <namePart>Endress,Tobias</namePart>
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  <name type="personal">
    <namePart>Junaid, Muhammad</namePart>
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  <name type="personal">
    <namePart>Kamonkanok Kiatisakchai</namePart>
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    <namePart>AIT Scholarships</namePart>
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    <namePart>Thai Pipe Scholarship</namePart>
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    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>2024</dateIssued>
    <issuance>continuing</issuance>
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    <extent>116 leaves : ill. + 1 online resource</extent>
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  <abstract>The travel industry is highly competitive, and businesses within this sector require up to-date data to attract customers and stay ahead. Web scraping has emerged as a  valuable tool for acquiring data from various online sources, including travel  websites, hotel booking platforms, airline websites, and review sites. This thesis  explores the usage of web scraping in business market research within the travel  industry. It examines the applications of web scraping, the global market size and  forecast, growth drivers, challenges, and ethical and legal considerations.  Additionally, it explores the role of data-driven decision-making, big data, marketing,  market research, and business intelligence in the context of web scraping. The  methodology section outlines the research approach, participants, data collection, and  analysis techniques. The thesis concludes with a discussion of the applications of web  scraping in market research within the travel industry, alternative ways of data  extraction, best practices, challenges, and recommendations. Overall, this research  provides insights into the benefits and implications of utilizing web scraping in  business market research in the travel industry, offering guidance for organizations  looking to leverage this technology effectively. </abstract>
  <note>A research submitted in partial fulfillment of the requirements for the degree of Master of Science in Business Analytics and Digital Transformation</note>
  <note>Research Studies Project Report (M. Sc.) - Asian Institute of Technology, 2024</note>
  <subject authority="lcsh">
    <topic>Tourism</topic>
    <topic>Technological innovations</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Marketing research</topic>
    <topic>Technological innovations</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Business intelligence</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Database management</topic>
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