This article explains how to scrape Craigslist apartment listings using R and the rvest package. We'll go through each part of the code.
First install and load rvest:
install.packages("rvest")
library(rvest)
rvest helps parse and scrape HTML.
Set the URL to scrape:
url <- "<https://sfbay.craigslist.org/search/apa>"
Use read_html() to get the page content:
page <- read_html(url)
If you check the source code of Craigslist listings you can see that the listings area code looks something like this…
You can see the code block that generates the listing…
<li class="cl-static-search-result" title="Situated in Sunnyvale!, Recycling Center, 1/BD">
<a href="https://sfbay.craigslist.org/sby/apa/d/santa-clara-situated-in-sunnyvale/7666802370.html">
<div class="title">Situated in Sunnyvale!, Recycling Center, 1/BD</div>
<div class="details">
<div class="price">$2,150</div>
<div class="location">
sunnyvale
</div>
</div>
</a>
</li>
its encapsulated in the cl-static-search-result class. We also need to get the title class div and the price and location class divs to get all the data
Parse the HTML into nodes:
html_nodes(page, "li.cl-static-search-result")
Loop through each node and extract info:
listings <- html_nodes(page, "li.cl-static-search-result")
for (listing in listings) {
title <- html_node(listing, ".title") %>%
html_text()
price <- html_node(listing, ".price") %>%
html_text()
location <- html_node(listing, ".location") %>%
html_text()
link <- html_node(listing, "a") %>%
html_attr("href")
print(paste(title, price, location, link))
}
The full R code is:
library(rvest)
url <- "<https://sfbay.craigslist.org/search/apa>"
page <- read_html(url)
listings <- html_nodes(page, "li.cl-static-search-result")
for (listing in listings) {
title <- html_node(listing, ".title") %>%
html_text()
price <- html_node(listing, ".price") %>%
html_text()
location <- html_node(listing, ".location") %>%
html_text()
link <- html_node(listing, "a") %>%
html_attr("href")
print(paste(title, price, location, link))
}
This walks through scraping Craigslist listings in R.
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