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meneos committed Mar 13, 2018
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21 changes: 21 additions & 0 deletions LICENSE
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MIT License

Copyright (c) 2018 Meleiro

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
2 changes: 2 additions & 0 deletions NAMESPACE
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# Generated by roxygen2: do not edit by hand

export(idealisto)
export(idealisto_alter)
export(idealisto_fast)
export(vigencia)
263 changes: 263 additions & 0 deletions R/Idealisto_alter.R
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#' Scrap idealista website.
#'
#' This function scraps spanish idealista (a real estate website) and downloads all the rent ads in the given province, city, disctrict or neighborhood.
#' @param url An idealisto website url that links to the area you want to scrap, e.g. 'https://www.idealista.com/alquiler-viviendas/madrid/arganzuela/'.
#' @param area The type of area you want to scrap. It can take these values: 'Provincia', 'Ciudad', 'Distrito' or 'Barrio'.
#' @param ruta A valid path in your computer where you want to create the csv file.
#' @return It returns a csv in the specified path
#' @export
idealisto_alter <- function(url, area, ruta = "~/idealisto_alter.csv") {
start <- Sys.time()

list.of.packages <- c("stringr", "rvest", "httr")
new.packages <- list.of.packages[!(list.of.packages %in% installed.packages()[,"Package"])]
if(length(new.packages)>0) {install.packages(new.packages)}

library(stringr)
library(rvest)
library(httr)

desktop_agents <- c('Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.99 Safari/537.36',
'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.99 Safari/537.36',
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.99 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_1) AppleWebKit/602.2.14 (KHTML, like Gecko) Version/10.0.1 Safari/602.2.14',
'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.71 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.98 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.98 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.71 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.99 Safari/537.36',
'Mozilla/5.0 (Windows NT 10.0; WOW64; rv:50.0) Gecko/20100101 Firefox/50.0')




if (area == "Distrito" | area == "distrito") {
x <- GET(url, add_headers('user-agent' = desktop_agents[sample(1:10, 1)])) ## Creo q para pasar las páginas en el GET
url_distris <- x %>% read_html() %>% html_nodes(".breadcrumb-subitems li li a") %>% html_attr(name = "href")

subarea <- "barrio"
url_distris_tot <- c()

} else if (area == "Provincia" | area == "provincia") {
x <- GET(url, add_headers('user-agent' = desktop_agents[sample(1:10, 1)])) ## Creo q para pasar las páginas en el GET
url_distris <- x %>% read_html() %>% html_nodes(".breadcrumb-subitems li li a") %>% html_attr(name = "href")

subarea <- "zona"
url_distris_tot <- c()

} else if(area == "Ciudad" | area == "ciudad") {

x <- GET(url, add_headers('user-agent' = desktop_agents[sample(1:10, 1)])) ## Creo q para pasar las páginas en el GET
url_distris <- x %>% read_html() %>% html_nodes(".breadcrumb-subitems li a") %>% html_attr(name = "href")

subarea <- "distrito"
url_distris_tot <- c()

} else if (area == "Barrio" | area == "barrio") {
url_distris <- c()
url_distris_tot <- c()
} else {
url_distris <- c()
url_distris_tot <- c()
}



d <- length(url_distris)

repeat {
links <- paste0("https://www.idealista.com", url_distris[d])
url_distris_tot <- c(url_distris_tot, links)

d <- d - 1
if (d <= 0) {
break
}
}

if (area == "Barrio" | area == "barrio") {
url_distris_tot <- url
url_distris_tot_ <- url
} else {
print(paste("Estos son los links a las páginas principales de cada", subarea, ":"))
print(url_distris_tot)
url_distris_tot_ <- paste0("https://www.idealista.com", url_distris)
}



repeat {

p <- length(url_distris_tot)

sig_pag_tot <- c()

repeat {
x <- GET(url_distris_tot[p], add_headers('user-agent' = desktop_agents[sample(1:10, 1)])) ## Creo q para pasar las páginas en el GET
sig_pag <- x %>% read_html() %>% html_nodes(".icon-arrow-right-after") %>% html_attr(name = "href", default = NA)


if (length(sig_pag) == 0) {
sig_pag <- NA
} else {
sig_pag_tot <- c(sig_pag,sig_pag_tot)
}

p <- p - 1

if (p == 0) {
break
}

}

url_distris_tot <- paste0("https://www.idealista.com", sig_pag_tot)

if (url_distris_tot == "https://www.idealista.com") {
break
}


url_distris_tot_ <- c(url_distris_tot_, url_distris_tot)


if (area == "Barrio" | area == "barrio") {

} else {
print(url_distris_tot_)
print(paste("Capturando los links de todas las páginas de cada", subarea, "..."))
}

}

urls_paginas <- unique(url_distris_tot_[url_distris_tot_ != "https://www.idealista.com"])

p <- length(urls_paginas)

links_anuncios_tot <- c()

repeat {
x <- GET(urls_paginas[p], add_headers('user-agent' = desktop_agents[sample(1:10, 1)]))
links <- x %>% read_html() %>% html_nodes(".item-link") %>% html_attr(name = "href", default = NA)

links_anuncios <- paste0("https://www.idealista.com", links)
links_anuncios_tot <- c(links_anuncios_tot, links_anuncios)

print(links_anuncios_tot)
print("Capturando los links a todos los anuncios...")

p <- p - 1
if (p == 0) {
break
}
}

links_anuncios_tot <- unique(links_anuncios_tot)

links_anuncios_tot <<- links_anuncios_tot

line <- data_frame("Titulo", "Distrito", "Barrio", "calle", "Precio", "Precio_m2", "Superficie", "Habitaciones", "Descripcion", "Anunciante", "Agencia", "Url", "fecha")

write.table(line, file = ruta, sep = ",", quote = FALSE, col.names = FALSE, row.names = FALSE, na = "")

p <- length(links_anuncios_tot)

print(paste("Idealisto ha extraido las urls de", p, "anuncios."))
print(paste("Ahora Idealisto comenzará a extraer la información de esos", n, "anuncios. Pero antes vamos a descansar durante 30 segundos"))

Sys.sleep(30)


start_2 <- Sys.time()

######
for (p in 1:length(links_anuncios_tot)) {
x <- GET(links_anuncios_tot[p], add_headers('user-agent' = desktop_agents[sample(1:10, 1)]))

titulo <- x %>% read_html() %>% html_nodes(".main-info__title-main") %>% html_text()
precio <- x %>% read_html() %>% html_nodes(".h1-simulated") %>% html_text()
ubi <- x %>% read_html() %>% html_nodes("#headerMap li") %>% html_text()
anunciante <- x %>% read_html() %>% html_nodes(".name") %>% html_text()
agencia <- x %>% read_html() %>% html_nodes(".about-advertiser-name") %>% html_text()
info <- x %>% read_html() %>% html_nodes(".info-features") %>% html_text()
descrip <- x %>% read_html() %>% html_nodes(".expandable") %>% html_text()

if (length(titulo) == 0) {
titulo <- "Sin título"
}

if (length(precio) == 0) {
precio <- "Sin precio"
}

if (length(descrip) == 0) {
descrip <- "Sin descripción"
}

if (length(agencia) == 0) {
agencia <- NA
}

if (length(anunciante) == 0 | isTRUE(anunciante == " ")) {
anunciante <- "Particular"
}

calle <- ubi[1]
distrito <- as.character(ubi[str_detect(ubi, pattern = "Distrito ") == TRUE])
barrio <- as.character(ubi[str_detect(ubi, pattern = "Barrio ") == TRUE])


if (length(distrito) == 0) {
distrito <- str_replace(string = links_anuncios_tot[p], pattern = "https://www.idealista.com/alquiler-viviendas/", replacement = "")
}

if (length(barrio) == 0) {
barrio <- NA
}

if (length(calle) == 0) {
calle <- NA
}

metros <- str_extract(pattern = "..m²|...m²|....m²|.....m²|......m²|.......m²|........m²|.........m²|..........m²", string = info)
metros <- str_replace_all(string = metros, pattern = " m²| |\\.", replacement = "")
metros <- as.numeric(metros)
habit <- as.integer(str_replace_all(pattern = " hab.", replacement = "", string = str_extract(pattern = ".hab.|..hab.", string = info)))
distrito <- str_replace_all(string = distrito, pattern = "Distrito ", replacement = "")
precio <- as.integer(str_replace_all(string = precio, pattern = " eur/mes|\\.", replacement = ""))
descrip <- str_replace_all(descrip, pattern = '\"', "")
fecha <- Sys.Date()

precio_m2 <- precio/metros


line <- data_frame(titulo, distrito, barrio, calle, precio, precio_m2, metros, habit, descrip, anunciante, agencia, links_anuncios_tot[p], fecha)
print(line)

n <- n - 1
p <- p + 1
process <- 100 - ((n/length(links_anuncios_tot))*100)
print(paste0("Idealisto lleva descargados el ", round(process, digits = 1),"% de los anuncios."))


write.table(line, file = ruta, sep = ",", append = TRUE, quote = TRUE, col.names = FALSE, row.names = FALSE, na = "")

#########



if (Sys.time() > start_2 + 420) {
stop_t <- sample(x = 100:120, size = 1)
print(paste("Para que no se nos cabree Idealista vamos a parar la máquina durante", stop_t, "segundos."))
Sys.sleep(time = stop_t)
start_2 <- Sys.time()
}

Sys.sleep(sample(x = 1:3, size = 1))
}

end <- Sys.time()
diff <- end - start
print(paste("Idealisto ha descargado los", length(links_anuncios_tot), "de los anuncios"))
print(round(diff, digits = 1))
}
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