Web scraping with R

methods@manchester is an initiative funded by the Faculty of Humanities, University of Manchester. It aims to:highlight Manchester's strength in research methods in the social sciencespromote interdisciplinary and innovative methodological developmentsfoster further developments, including training, through external fundingmethods@manchester achieves these aims by:web pages that showcase the expertise in research methods within the facultypromoting and facilitatingmethods-related eventsacross the universityholding twice-yearly high profile external eventsm﻿ethods@manchester is part of Methods North West, a regional hub for research methods innovation, celebrating the collective strength, depth and breadth of methodological expertise across the participating Universities of Manchester, Liverpool, Lancaster, Lancashire and Keele.

methods@manchester

A one-day course to learn and practice effective skills in collecting and analysing online data using R.

<h2>Overview</h2><p>In recent years, there has been an increase in interest in collecting and analysing data from online sources among social scientists. Online data can have many shapes and forms – from traditionally offline data made online (e.g., newspaper articles, speeches) to new data (e.g., social media). </p><p>Despite the growing interest in the data and the online environment in general, learning to access the data is seldom a part of university curriculums. This workshop will provide an introduction to the two most prominent ways of collecting such data - APIs (application programming interfaces) and screen scraping.</p><p>The workshop will include hands-on exercises in R. To get the most out of the workshop, participants should ideally have some prior experience with R (installing and loading packages, assigning variables, using existing functions).</p><h2>Participants will learn:</h2><p>- About the characteristics of online data – What are the (dis)advantages?</p><p>- How to access the data with both APIs and screen scraping of static websites with R</p><p>- To process the data into a structured format</p><h2>Prerequisites</h2><p>- Installed R &amp; RStudio</p><h2>About the instructor</h2><p>Renata Topinkova is a PhD candidate in Sociology within the Czech Academy of Sciences. Her domains of interest include data-heavy quantitative research projects, amongst which the study of behaviour on online dating platforms, age homophily in partner preferences and the relation between capital and housework. More details about her research can be found <a href="https://www.researchgate.net/profile/Renata-Topinkova" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">here</a>.</p><p></p>

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Web scraping with R

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