scrape gistlib in r

To scrape Gistlib in R, we can use the rvest package to extract information from HTML pages. From the Gistlib website, we can see that each code snippet is contained within a <div> element with a class attribute of "gist".

Furthermore, the code itself is contained within a <pre> element with a class attribute of "gist-file". We can use these attributes to extract the code snippets.

Here's some sample code to load the rvest package, fetch code snippets from a Gistlib page, and extract the relevant code:

main.r
library(rvest)

# fetch Gistlib page
url <- "https://gistlib.com/"
page <- read_html(url)

# extract all code snippets
gists <- page %>% html_nodes(".gist")

# loop through each code snippet and extract code
for (gist in gists) {
  # extract code from snippet
  code <- gist %>% html_node(".gist-file") %>% html_text()
  
  # do something with code (print it as an example)
  print(code)
}
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In the above code snippet, we first load the rvest package and fetch the Gistlib page using read_html().

We then use html_nodes() to extract all of the <div> elements with a class attribute of "gist". We loop through each of these elements using a for loop.

Within the loop, we use html_node() to extract the <pre> element with a class attribute of "gist-file", and then use html_text() to extract the code contained within that element.

We can then do something with the extracted code (in this case, print it out as an example).