download EJM detail job listing information for job market candidates in economics
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library(XML) | |
library(stringr) | |
library(RCurl) | |
library(plyr) | |
library(data.table) | |
###YOU NEED THE PREVIOUS OBJECT EJM | |
###NOW WE WANT TO GET THE INFORMATION ABOUT EACH JOB OPENING (UNIVERSITY / DESCRIPTION / DEADLINE) | |
DETAILS<-NULL | |
for(i in 1:nrow(EJM)) { | |
cat(i, " ") | |
temp <- getURL(EJM[i]$url) | |
temp<-readHTMLTable(temp)[[2]][,1] | |
temp<-gsub("\\r|\\n","",temp) | |
temp<-cbind(posid=EJM[i]$posid,institution=temp[1], position=str_trim(gsub("Position Type: (.*)","\\1",temp[5])),field=str_trim(gsub("Categories/Specialties: (.*)","\\1",temp[6])),deadline=str_trim(gsub("Deadline: (.*)","\\1",temp[7])), description=str_trim(gsub("Description: (.*)","\\1",temp[8]))) | |
DETAILS<-rbind(DETAILS, temp) | |
} | |
DETAILS<-data.table(DETAILS) | |
DETAILS$posid<-as.numeric(as.character(DETAILS$posid)) | |
###join with EJM | |
EJM<-join(EJM, DETAILS) | |
###this leaves you with a data object with the following columns... | |
names(EJM) | |
#[1] "posid" "url" "applylink" "institution" "position" "field" "deadline" | |
#[8] "description" | |
###NOW YOU CAN JUST WRITE A CSV AND BROWSE THROUGH IT... | |
write.csv(EJM, file="econjobmarket.csv") |
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