An update to “An adventure in downloading books”
[This article was first published on Anindya Mozumdar, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
I received an email from Bernardo Lares as feedback on my previous article. You can also view some of the other cool work done by him in this link.
His script is provided below. He uses the rvest package and the %>% operator to keep it really short and simple.
library(rvest)
library(dplyr)
library(stringr)
list <- "https://towardsdatascience.com/springer-has-released-65-machine-learning-and-data-books-for-free-961f8181f189"
aux <- read_html(list) %>%
html_node("div") %>%
html_text() %>%
str_split("http://link.springer.com/openurl\\?genre=book&isbn=")
ids <- substr(unlist(aux), 1, 17)[-1]
sapply(ids, function(x) {
url <- paste0("https://link.springer.com/content/pdf/10.1007%2F", x, ".pdf")
download.file(url, paste0(x, ".pdf"), mode = "wb")
})
To leave a comment for the author, please follow the link and comment on their blog: Anindya Mozumdar.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.