Using Airbnb Web Scraped Data Webinar

Using daily Airbnb web scraped data to provide spatial and temporal understanding of short-term lets activity

When:: Thursday 24 June 2021
Time:: 10:00 - 11:00 (BST)
Where:: Online (via Zoom)

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 webinar on 22 June, which uses the example of Airbnb to illustrate web scraping.

Session format

The webinar will provide a lecture-style overview of the topic with plenty of time for questions and discussion.

What you will learn

Following completion of this webinar attendees will be able to:

Outline the main issues with the emergence of the sharing economy and the growth in Short-term lets
Describe what data is available through scraping
Explain the value of frequent and regular scraping on the usability of Airbnb data
Explain the complexity of using these data both temporally and spatially
Use data on availability (calendars) to monitor the market activity and estimate turnover
Use reviews to understand market demand
Estimate occupancy and income

Who should attend

Academics and researchers who have attended the Airbnb scraping webinar or are interested in using and analysing data on the short-term lets should attend.

Prior knowledge requirements

It would be useful, though not essential, for people to have attended our webinar on web scraping for research, 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 requirements

No data or software is required to participate in this webinar.

Registration

Registration for this online event is free and available via Eventbrite. Full details and instructions for joining will be circulated post-registration.