Webinar: Web-scraping for Social Science Research: Websites as a Source of Data
| Dates: | 23 April 2020 |
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| Times: | 15:00 - 16:00 |
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| What is it: | Webinar |
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| Organiser: | Cathie Marsh Institute for Social Research |
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| How much: | Free |
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Vast swathes of our social interactions and personal behaviours are now conducted online and/or captured digitally. In addition to common sources such as social media/network platforms and text corpora, websites and online databases contain rich information of relevance to social science research. Thus, computational methods for collecting data from the web are an increasingly important component of a social scientist’s toolkit.
This free webinar, organised by the UK Data Service, is the second in a series of three on how to collect data from the web using computational methods. Specifically, this webinar delineates the value, logic and process of capturing data stored on websites. Presented by Dr Diarmuid McDonnell of the UK Data Service, this webinar will cover the step-by-step process of collecting data from a web page, including providing sample code written in the popular Python programming language. It demonstrates web-scraping techniques for capturing real-time information on the Covid-19 pandemic, as well as for the author’s own research specialism (charitable organisations).
Book a place at https://www.ukdataservice.ac.uk/news-and-events/eventsitem/?id=5605
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