Ressources.qmd

---
title: "References and Ressources"
---

# Books

## Web scraping with R

- [Automated Data Collection from the Web with R](http://www.r-datacollection.com/), by Munzer, Rubba, Meisner & Nyhulis. Wiley.

## Data technologies including XML

- [Introduction to Data Technologies](https://www.stat.auckland.ac.nz/~paul/ItDT/itdt-2013-03-26.pdf). Paul Murrell.
- [XML and Web Technologies for Data Science with R](https://link.springer.com/book/10.1007/978-1-4614-7900-0#toc). Deborah Nolan & Duncan Temple Lang. UseR!

## Web scraping in general

- [Web scraping. Subirats Maté, L., Calvo González, M. (2019). Oberta UOC Publishing]()


# Courses
- [Web scraping in R (Datacamp)](https://www.datacamp.com/courses/web-scraping-in-r)
- [Learn to scrape any website with R (Udemy)](https://www.udemy.com/course/scrape-any-website-with-r/)
- [Easy-t-follow Web Scraping (Dataslice)](https://www.youtube.com/playlist?list=PLr5uaPu5L7xLEclrT0-2TWAz5FTkfdUiW)


# Web documents/bookdown/etc

- [Web scraping with R](https://steviep42.github.io/webscraping/book/) by Steve Pittard
- [Introduction to Computing with Data](https://www.gastonsanchez.com/intro2cwd/) by [Gaston Sánchez](https://www.gastonsanchez.com/)
- [Crime by the numbers with R](https://crimebythenumbers.com/), part IV is on Web Scraping.

# Tutorials/Blog posts/etc

- [Web scraping for the humanities and social sciences](http://quantifyingmemory.blogspot.co.uk/2014/02/web-scraping-basics.html), Rolf Fredheim and Aiora Zabala.
- [R-bloggers posts on *Web Scraping*](http://www.r-bloggers.com/?s=web+scraping)
- And see also [CRAN Web Services and Technologies task view](https://cran.r-project.org/web/views/WebTechnologies.html)

# Other ressources

- [Selectorgadget](https://rvest.tidyverse.org/articles/selectorgadget.html)