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Other literature type . 2026
License: CC BY
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License: CC BY
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Other ORP type . 2026
License: CC BY
Data sources: Datacite
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Web Scraping with R

Authors: Schweinberger, Martin;

Web Scraping with R

Abstract

This tutorial introduces web scraping in R using the rvest and xml2 packages, covering HTML structure, CSS selectors, navigating multi-page websites, handling pagination, and storing scraped text and data for downstream analysis. It is aimed at researchers in corpus linguistics and digital humanities who want to collect text data from websites programmatically. This tutorial is part of the Language Technology and Data Analysis Laboratory (LADAL), a free, open-access research infrastructure at the University of Queensland. LADAL provides tutorials, tools, and courses for researchers working with language data. All materials are freely available at https://ladal.edu.au and are part of the Language Data Commons of Australia (LDaCA), funded by ARDC and NCRIS.

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Keywords

rvest package, CSS selectors, corpus linguistics, R, LADAL, text analysis, R web scraping, open educational resource, text data collection, University of Queensland, xml2 package, HTML parsing, language technology, pagination web scraping, corpus linguistics data scraping

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average