# Loading Packages ----
library(tidyverse)
## Warning: package 'ggplot2' was built under R version 4.3.3
## Warning: package 'tibble' was built under R version 4.3.3
## Warning: package 'tidyr' was built under R version 4.3.1
## Warning: package 'readr' was built under R version 4.3.1
## Warning: package 'dplyr' was built under R version 4.3.1
## Warning: package 'stringr' was built under R version 4.3.1
## Warning: package 'lubridate' was built under R version 4.3.3
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.4 ✔ readr 2.1.5
## ✔ forcats 1.0.0 ✔ stringr 1.5.1
## ✔ ggplot2 3.5.2 ✔ tibble 3.3.0
## ✔ lubridate 1.9.4 ✔ tidyr 1.3.1
## ✔ purrr 1.0.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(rvest)
## Warning: package 'rvest' was built under R version 4.3.1
##
## Attaching package: 'rvest'
##
## The following object is masked from 'package:readr':
##
## guess_encoding
library(polite)
#check for scrape-ability ----
bow("https://www.scrapingcourse.com")
## <polite session> https://www.scrapingcourse.com
## User-agent: polite R package
## robots.txt: 1 rules are defined for 1 bots
## Crawl delay: 5 sec
## The path is scrapable for this user-agent
#read page ----
url <- "https://www.scrapingcourse.com/ecommerce/"
page <- read_html(url)
#
# # titles ----
titles <- page |>
html_elements(".woocommerce-loop-product__title") |>
html_text()
# #urls ----
urls <- page |>
html_elements(".woocommerce-loop-product__link") |>
html_attr("href")
# # prices ----
prices <- page |>
html_elements(".woocommerce-Price-amount") |>
html_text(trim = TRUE) |>
str_extract("\\d+\\.\\d+") |> # Extract only numbers
as.numeric()
items <- page |>
html_elements(".product") |> # Parent container for each product
map_df(function(product) {
title <- product |>
html_element(".woocommerce-loop-product__title") |>
html_text(trim = TRUE)
url <- product |>
html_element(".woocommerce-loop-product__link") |>
html_attr("href")
price <- product |>
html_element(".woocommerce-Price-amount") |>
html_text(trim = TRUE) |>
str_extract("\\d+\\.\\d+") |>
as.numeric()
tibble(title = title, url = url, price = price)
})
# write items ----
write_csv(items, "data/items.csv")
read.csv("data/items.csv")
## title
## 1 Abominable Hoodie
## 2 Adrienne Trek Jacket
## 3 Aeon Capri
## 4 Aero Daily Fitness Tee
## 5 Aether Gym Pant
## 6 Affirm Water Bottle
## 7 Aim Analog Watch
## 8 Ajax Full-Zip Sweatshirt
## 9 Ana Running Short
## 10 Angel Light Running Short
## 11 Antonia Racer Tank
## 12 Apollo Running Short
## 13 Arcadio Gym Short
## 14 Argus All-Weather Tank
## 15 Ariel Roll Sleeve Sweatshirt
## 16 Artemis Running Short
## url
## 1 https://www.scrapingcourse.com/ecommerce/product/abominable-hoodie/
## 2 https://www.scrapingcourse.com/ecommerce/product/adrienne-trek-jacket/
## 3 https://www.scrapingcourse.com/ecommerce/product/aeon-capri/
## 4 https://www.scrapingcourse.com/ecommerce/product/aero-daily-fitness-tee/
## 5 https://www.scrapingcourse.com/ecommerce/product/aether-gym-pant/
## 6 https://www.scrapingcourse.com/ecommerce/product/affirm-water-bottle/
## 7 https://www.scrapingcourse.com/ecommerce/product/aim-analog-watch/
## 8 https://www.scrapingcourse.com/ecommerce/product/ajax-full-zip-sweatshirt/
## 9 https://www.scrapingcourse.com/ecommerce/product/ana-running-short/
## 10 https://www.scrapingcourse.com/ecommerce/product/angel-light-running-short/
## 11 https://www.scrapingcourse.com/ecommerce/product/antonia-racer-tank/
## 12 https://www.scrapingcourse.com/ecommerce/product/apollo-running-short/
## 13 https://www.scrapingcourse.com/ecommerce/product/arcadio-gym-short/
## 14 https://www.scrapingcourse.com/ecommerce/product/argus-all-weather-tank/
## 15 https://www.scrapingcourse.com/ecommerce/product/ariel-roll-sleeve-sweatshirt/
## 16 https://www.scrapingcourse.com/ecommerce/product/artemis-running-short/
## price
## 1 69.0
## 2 57.0
## 3 48.0
## 4 24.0
## 5 74.0
## 6 7.0
## 7 45.0
## 8 69.0
## 9 40.0
## 10 42.0
## 11 34.0
## 12 32.5
## 13 20.0
## 14 22.0
## 15 39.0
## 16 45.0