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    <responseDate>2026-10-14T15:45:31Z</responseDate>
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    <identifier>10.57760/sciencedb.nbsdc.00241</identifier>
    <datestamp>2025-08-15T14:13:19Z</datestamp>
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  <dc:date>2025-08-15</dc:date>
  <dc:title>Airbnb</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.nbsdc.00241</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Between July and December 2023, this study employed automated web scraping tools to systematically track and extract detailed listing and consumer review data from the publicly accessible Airbnb client interface. It is important to note that, due to access restrictions and ethical data acquisition considerations, only data available from the customer-facing platform were collected; listing management data from the host-side interface were not accessible.&amp;nbsp;</dc:description>
  <dc:subject>Airbnb; web scraping; data collection</dc:subject>
  <dc:creator>谢果</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
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  <dc:publisher>Science Data Bank</dc:publisher>
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