I have some Rexperience, but not with website coding, and think I was not able to select the correct CSS nodes to parse (I believe).
library(rvest)
library(xml2)
library(selectr)
library(stringr)
library(jsonlite)
url <-'https://scholar.google.com/scholar?hl=en&as_sdt=0%2C38&q=apex+predator+conservation&btnG=&oq=apex+predator+c'
webpage <- read_html(url)
title_html <- html_nodes(webpage, 'a#rh06x-YUUvEJ')
title <- html_text(title_html)
head(title)
Ultimately, if I could scrape and divide all scholar results into a csv file with headers like 'Title', 'Author', 'Year', 'Journal', that would be great. Any help would be much appreciated! Thanks
Concerning your code, you almost had it - you did not select the proper element. I believe you selected by id where I found html_nodes works best when selecting by class. The classes you are looking for are gs_rt and gs_a.
With regexyou can then process the data to the desired format by extracting authors and years.
url_name <- 'https://scholar.google.com/scholar?hl=en&as_sdt=0%2C38&q=apex+predator+conservation&btnG=&oq=apex+predator+c'
wp <- xml2::read_html(url_name)
# Extract raw data
titles <- rvest::html_text(rvest::html_nodes(wp, '.gs_rt'))
authors_years <- rvest::html_text(rvest::html_nodes(wp, '.gs_a'))
# Process data
authors <- gsub('^(.*?)\\W+-\\W+.*', '\\1', authors_years, perl = TRUE)
years <- gsub('^.*(\\d{4}).*', '\\1', authors_years, perl = TRUE)
# Make data frame
df <- data.frame(titles = titles, authors = authors, years = years, stringsAsFactors = FALSE)