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Copy path3 Pull House Specific Data.R
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3 Pull House Specific Data.R
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#Project: Zillow Tracker
#Code: 3 Pull House Specific Data
#Author: Scott Onestak
#Last Executed: 8/10/2022
#---------------------------------- Cannot run with chrome open ----------------------------------
#Restart R session: .rs.restartR()
#Packages
library(rvest)
library(dplyr)
library(tidyr)
library(httr)
library(stringr)
library(jsonlite)
library(RSelenium)
#Selenium
##binman::list_versions("chromedriver") <- command to get the chrome version number to use
port = 4002L
#Read in prior
prior = read.csv("Data/finalDataset.csv",header=T,stringsAsFactors=F)
LFRprior = read.csv("Data/listedForRent.csv",header=T,stringsAsFactors=F)
#Create list of zpids to skip because they've already had their data pulled
zpid_skip = rbind(prior %>% select(zpid,soldDate),
LFRprior %>% select(zpid,soldDate))
#Loop through list of sold and collect more detailed information... change batch number with run
theListDedup = read.csv("Data/theListDedup.csv",stringsAsFactors = F, header = T)
cat("Homes to Scrape: ",dim(theListDedup)[1],"\n",sep="")
finalDatasetMade = FALSE
finalDataset = NA
forRentMade = FALSE
listedForRent = NA
checkAgain = FALSE
current = theListDedup
i = 1
j = 0
#Loop through scraper
while(i <= dim(theListDedup)[1] & j <= 25){
cat(i,"\n",sep="")
if(dim(zpid_skip %>% inner_join(.,current[i,c("zpid","soldDate")],by=c("zpid","soldDate")))[1]<=0){
theLink = paste(current[i,"url"],sep="")
#First try downloading the file
download.file(theLink,destfile = "test.html",quiet=T)
test = read_html("test.html") %>% html_text()
if(!str_detect(toupper(test),"PLEASE VERIFY")){
theProperty = read_html("test.html") %>%
html_nodes("div") %>%
html_nodes("script") %>%
html_text()
Sys.sleep(5)
} else {
#if that fails...try Selenium method
j = j + 1
port = as.integer(port+1)
rD = rsDriver(browser="chrome", port=port, chromever = "103.0.5060.53", geckover = NULL, verbose = F)
remDr = rD[["client"]]
remDr$navigate(theLink)
#pull html
html = remDr$getPageSource()[[1]]
#check if they want verification
test = paste(html)
if(str_detect(toupper(test),"PLEASE VERIFY")){
element = remDr$findElements(value="//div/div")[[1]]
remDr$mouseMoveToLocation(webElement = element)
remDr$buttondown(buttonId = 'LEFT')
Sys.sleep(10)
remDr$buttonup(buttonId = 'LEFT')
Sys.sleep(10)
}
theProperty = read_html(html) %>%
html_nodes("div") %>%
html_nodes("script") %>%
html_text()
remDr$quit()
rD$server$stop()
gc(remDr,verbose = F)
gc(rD,verbose = F)
}
#Find the right script to use
if(length(theProperty)>0){
gotoStr = NA
temp = NA
for(j in seq(from=1,to=length(theProperty),by=1)){
if(str_detect(toupper(theProperty[j]),"YEARBUILT")){
gotoStr = j
}
}
if(!is.na(gotoStr)){
Sys.sleep(5)
temp = fromJSON(fromJSON(str_replace_all(str_replace_all(theProperty[gotoStr],"<!--",""),"-->",""))$apiCache)
status = tryCatch(temp[[2]]$property$homeStatus,error=function(e){NA})
yearBuilt = tryCatch(temp[[2]]$property$yearBuilt,error=function(e){NA})
livingArea = tryCatch(temp[[2]]$property$livingArea,error=function(e){NA})
hoaFee = tryCatch(temp[[2]]$property$monthlyHoaFee,error=function(e){NA})
sunScore = tryCatch(temp[[2]]$property$solarPotential$sunScore,error=function(e){NA})
buildFactor = tryCatch(temp[[2]]$property$solarPotential$buildFactor,error=function(e){NA})
climateFactor = tryCatch(temp[[2]]$property$solarPotential$climateFactor,error=function(e){NA})
electricityFactor = tryCatch(temp[[2]]$property$solarPotential$electricityFactor,error=function(e){NA})
solarFactor = tryCatch(temp[[2]]$property$solarPotential$solarFactor,error=function(e){NA})
description = tryCatch(temp[[2]]$property$description,error=function(e){NA})
suburb = tryCatch(paste(temp[[2]]$property$parentRegion$name,sep="",collapse = ","),error=function(e){NA})
hasCooling = tryCatch(paste(temp[[2]]$property$resoFacts$hasCooling,sep="",collapse = ","),error=function(e){NA})
cooling = tryCatch(paste(temp[[2]]$property$resoFacts$cooling,sep="",collapse = ","),error=function(e){NA})
heating = tryCatch(paste(temp[[2]]$property$resoFacts$heating,sep="",collapse = ","),error=function(e){NA})
parkingCapacity = tryCatch(paste(temp[[2]]$property$resoFacts$parkingCapacity,sep="",collapse = ","),error=function(e){NA})
parkingLocation = tryCatch(paste(temp[[2]]$property$resoFacts$parkingFeatures,sep="",collapse = ","),error=function(e){NA})
garageCapacity = tryCatch(paste(temp[[2]]$property$resoFacts$garageParkingCapacity,sep="",collapse = ","),error=function(e){NA})
basement = tryCatch(paste(temp[[2]]$property$resoFacts$basementYN,sep="",collapse = ","),error=function(e){NA})
flooring = tryCatch(paste(temp[[2]]$property$resoFacts$flooring,sep="",collapse = ","),error=function(e){NA})
view = tryCatch(temp[[2]]$property$resoFacts$hasView,error=function(e){NA})
stories = tryCatch(paste(temp[[2]]$property$resoFacts$stories,sep="",collapse = ","),error=function(e){NA})
porch = tryCatch(paste(temp[[2]]$property$resoFacts$patioAndPorchFeatures,sep="",collapse = ","),error=function(e){NA})
pricePerSquareFoot = tryCatch(paste(temp[[2]]$property$resoFacts$pricePerSquareFoot,sep="",collapse = ","),error=function(e){NA})
roof = tryCatch(paste(temp[[2]]$property$resoFacts$roofType,sep="",collapse = ","),error=function(e){NA})
style = tryCatch(paste(temp[[2]]$property$resoFacts$architecturalStyle,sep="",collapse = ","),error=function(e){NA})
#Do checks for nulls
if(is.null(yearBuilt)){yearBuilt = NA}
if(is.null(livingArea)){livingArea = NA}
if(is.null(hoaFee)){hoaFee = 0}
if(is.null(sunScore)){sunScore = NA}
if(is.null(buildFactor)){buildFactor = NA}
if(is.null(climateFactor)){climateFactor = NA}
if(is.null(electricityFactor)){electricityFactor = NA}
if(is.null(solarFactor)){solarFactor = NA}
if(is.null(description)){description = ""}
if(is.null(suburb)){suburb = NA}
if(is.null(hasCooling)){hasCooling = NA}
if(is.null(cooling)){cooling = ""}
if(is.null(heating)){heating = ""}
if(is.null(parkingCapacity)){parkingCapacity = NA}
if(is.null(parkingLocation)){parkingLocation = ""}
if(is.null(garageCapacity)){garageCapacity = NA}
if(is.null(basement)){basement = NA}
if(is.null(flooring)){flooring = ""}
if(is.null(view)){view = NA}
if(is.null(stories)){stories = NA}
if(is.null(porch)){porch = NA}
if(is.null(pricePerSquareFoot)){pricePerSquareFoot = NA}
if(is.null(style)){style = ""}
#Get listing price and date to determine how long it was on the market and asking vs sale price
price_history_holder = as.data.frame(temp[[2]]$property$priceHistory)
price_history_holder$event = toupper(price_history_holder$event)
listDate = NA
listPrice = NA
if(dim(price_history_holder)[1]>0){
for(k in seq(from=dim(price_history_holder)[1],to=1,by=-1)){
if(price_history_holder[k,"event"] == "LISTED FOR SALE"){
listDate = price_history_holder[k,"date"]
listPrice = price_history_holder[k,"price"]
}
}
}
} else {
yearBuilt = NA
livingArea = NA
hoaFee = NA
sunScore = NA
buildFactor = NA
climateFactor = NA
electricityFactor = NA
solarFactor = NA
description = NA
suburb = NA
hasCooling = NA
cooling = NA
heating = NA
parkingCapacity = NA
parkingLocation = NA
garageCapacity = NA
basement = NA
flooring = NA
view = NA
stories = NA
porch = NA
pricePerSquareFoot = NA
roof = NA
style = NA
listDate = NA
listPrice = NA
}
#create link for scores
scores = paste("https://www.walkscore.com/score/",
str_replace_all(str_replace_all(tolower(current[i,"Address"]),",","")," ","-"),
sep="")
#check site status
check4 = GET(scores)
theCheck4 = unlist(http_status(check4)$reason)
walk_score = NA
transit_score = NA
bike_score = NA
if(theCheck4 == "OK"){
returned = tryCatch(paste(read_html(scores) %>%
html_nodes(xpath='//*[@class="block-header-badge score-info-link"]')),
error=function(e){NA})
if(length(returned)>1){
for(j in seq(from=1,to=length(returned),by=1)){
#Walk Score
if(str_detect(toupper(returned[j]),"WALK SCORE")){
temp_score = unlist(str_split(unlist(str_split(returned[j],"<")),">"))
for(k in seq(from=1,to=length(temp_score),by=1)){
if(str_detect(toupper(temp_score[k]),"ALT") & str_detect(toupper(temp_score[k]),"WALK SCORE")){
walk_score = trimws(
str_replace_all(
str_replace_all(
unlist(
str_split(
unlist(
str_split(
str_remove_all(
toupper(temp_score[k])
,'\"')
,"ALT=")
)[1]
,"SCORE/")
)[2]
,".PNG","")
,".SVG","")
)
}
}
}
#Transit Score
if(str_detect(toupper(returned[j]),"TRANSIT SCORE")){
temp_score = unlist(str_split(unlist(str_split(returned[j],"<")),">"))
for(k in seq(from=1,to=length(temp_score),by=1)){
if(str_detect(toupper(temp_score[k]),"ALT") & str_detect(toupper(temp_score[k]),"TRANSIT SCORE")){
transit_score = trimws(
str_replace_all(
str_replace_all(
unlist(
str_split(
unlist(
str_split(
str_remove_all(
toupper(temp_score[k])
,'\"')
,"ALT=")
)[1]
,"SCORE/")
)[2]
,".PNG","")
,".SVG","")
)
}
}
}
#Bike Score
if(str_detect(toupper(returned[j]),"BIKE SCORE")){
temp_score = unlist(str_split(unlist(str_split(returned[j],"<")),">"))
for(k in seq(from=1,to=length(temp_score),by=1)){
if(str_detect(toupper(temp_score[k]),"ALT") & str_detect(toupper(temp_score[k]),"BIKE SCORE")){
bike_score = trimws(
str_replace_all(
str_replace_all(
unlist(
str_split(
unlist(
str_split(
str_remove_all(
toupper(temp_score[k])
,'\"')
,"ALT=")
)[1]
,"SCORE/")
)[2]
,".PNG","")
,".SVG","")
)
}
}
}
}
} else {
walk_score = NA
transit_score = NA
bike_score = NA
}
} else {
walk_score = NA
transit_score = NA
bike_score = NA
}
#stack results in final scraping dataset
if(status != "FOR_RENT"){
if(finalDatasetMade==FALSE){
finalDataset = as.data.frame(cbind(t(unlist(as.list(current[i,]))),yearBuilt,livingArea,hoaFee,sunScore,
buildFactor,climateFactor,electricityFactor,solarFactor,description,suburb,
hasCooling,cooling,heating,parkingCapacity,parkingLocation,garageCapacity,
basement,flooring,view,stories,porch,pricePerSquareFoot,roof,style,
listDate,listPrice,walk_score,transit_score,bike_score))
finalDatasetMade=TRUE
} else {
finalDataset = rbind(finalDataset,
as.data.frame(cbind(t(unlist(as.list(current[i,]))),yearBuilt,livingArea,hoaFee,sunScore,
buildFactor,climateFactor,electricityFactor,solarFactor,description,suburb,
hasCooling,cooling,heating,parkingCapacity,parkingLocation,garageCapacity,
basement,flooring,view,stories,porch,pricePerSquareFoot,roof,style,
listDate,listPrice,walk_score,transit_score,bike_score)))
}
} else {
if(forRentMade==FALSE){
listedForRent = current[i,]
forRentMade=TRUE
} else
listedForRent = rbind(listedForRent,current[i,])
}
} else {
if(checkAgain==FALSE){
toCheckAgain = current[i,]
checkAgain=TRUE
} else {
toCheckAgain = rbind(toCheckAgain,current[i,])
}
cat("CHECK AGAIN\n")
Sys.sleep(60)
}
}
#Update counter
i = i + 1
}
#if new, append and write out
if(is.null(dim(finalDataset))==FALSE){
outFinalDataset = rbind(prior,finalDataset)
write.csv(outFinalDataset,"Data/finalDataset.csv",row.names=F)
}
if(is.null(dim(listedForRent))==FALSE){
outListedForRent = rbind(LFRprior,listedForRent)
write.csv(outListedForRent,"Data/listedForRent.csv",row.names=F)
}