Published April 6, 2026
| Version 3.1.1
Other
Open
Web Scraping with R
Authors/Creators
- 1. The Language Technology and Data Analysis Laboratory (LADAL), The University of Queensland, Australia
Description
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.
Files
Files
(252.0 kB)
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md5:337a9128ef8c9f6243ace55dd68437f9
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Additional details
Related works
- Is new version of
- Other: https://slcladal.github.io/webscraping.html (URL)
- Is part of
- Other: https://ladal.edu.au (URL)
- Other: https://www.ldaca.edu.au (URL)
- Is supplement to
- Other: https://ladal.edu.au/tutorials/webscraping/webscraping.html (URL)
- Software: https://github.com/SLCLADAL/ladal (URL)