Using Airbnb web scraped data to understand short-term lets activity

The Urban Big Data Centre (UBDC) is a research centre and national data service based at the University of Glasgow. We promote the use of big data and innovative research methods to improve social, economic and environmental well-being in cities.UBDC has been jointly funded by the Economic and Social Research Council (ESRC), which is part of UK Research and Innovation (UKRI), and the University of Glasgow since 2014.

Urban Big Data Centre

This webinar will summarise how to use Airbnb web scraped data to provide spatial and temporal understanding of short-term lets activity.

Increasingly people are looking for novel and interesting data to provide a better understanding of social issues.Scraping data for research purposes is becoming more common and for some policy areas the only way of securing any understanding. Short-term lets, in particular Airbnb rentals, is one such area. Growth in this sector has caused issues in many cities across the world where city authorities have looked to legislate to minimise the impact. This session follows the <a href="https://ubdc.ac.uk/education-and-events/events-and-courses/upcoming-events/practical-approaches-for-web-scraping-for-research-webinar/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">webinar on 22 June</a>, which uses the example of Airbnb to illustrate web scraping.Session formatThe webinar will provide a lecture-style overview of the topic with plenty of time for questions and discussion.What you will learnFollowing completion of this webinar attendees will be able to:<ul><li>Outline the main issues with the emergence of the sharing economy and the growth in Short-term lets</li><li>Describe what data is available through scraping</li><li>Explain the value of frequent and regular scraping on the usability of Airbnb data</li><li>Explain the complexity of using these data both temporally and spatially</li><li>Use data on availability (calendars) to monitor the market activity and estimate turnover</li><li>Use reviews to understand market demand</li><li>Estimate occupancy and income</li></ul>Who should attendAcademics and researchers who have attended the <a href="https://ubdc.ac.uk/education-and-events/events-and-courses/upcoming-events/practical-approaches-for-web-scraping-for-research-webinar/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Airbnb scraping webinar</a> or are interested in using and analysing data on the short-term lets should attend.Prior knowledge requirementsIt would be useful, though not essential, for people to have attended our webinar on <a href="https://ubdc.ac.uk/education-and-events/events-and-courses/upcoming-events/practical-approaches-for-web-scraping-for-research-webinar/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">web scraping for research</a>, as this covers the process of acquiring data. The presumption is that attendees of this session will be able to access data.Data and software requirementsNo data or software is required to participate in this webinar.

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Using Airbnb web scraped data to understand short-term lets activity

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Using Airbnb web scraped data to understand short-term lets activity

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