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00_web_scraping.R
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00_web_scraping.R
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# BIKE PRICING PREDICTION ----
# WEBSCRAPING SCRIPT ----
# WEBSITE URL - # "https://www.trekbikes.com/us/en_US/"
# # **** ----
# Working Dir ----
setwd(here::here("R"))
# * Libraries ----
library(tidyverse)
library(stringi)
library(janitor)
library(rvest)
library(fs)
library(furrr)
library(xopen)
library(tictoc)
# ******************************************************************************
# GET URLS FOR PRODUCT CATEGORIES ----
# ******************************************************************************
# * Road Bikes ----
road_bikes_url_tbl <- tibble(
family = c("Aero", "Lightweight", "Endurance", "Gravel", "Electric"),
url = c(
"https://www.trekbikes.com/us/en_US/bikes/road-bikes/performance-road-bikes/madone/c/B213/",
"https://www.trekbikes.com/us/en_US/bikes/road-bikes/performance-road-bikes/%C3%A9monda/c/B211/",
"https://www.trekbikes.com/us/en_US/bikes/road-bikes/performance-road-bikes/domane/c/B221/",
"https://www.trekbikes.com/us/en_US/bikes/road-bikes/gravel-bikes/checkpoint/c/B224/",
"https://www.trekbikes.com/us/en_US/bikes/electric-bikes/electric-road-bikes/c/B552/"
)
) %>%
mutate(category = "Road", .before = family)
# * Mountain Bikes ----
mountain_bikes_url_tbl <- tibble(
family = c("Cross Country"),
url = c(
"https://www.trekbikes.com/us/en_US/bikes/mountain-bikes/cross-country-mountain-bikes/top-fuel/c/B311/",
"https://www.trekbikes.com/us/en_US/bikes/mountain-bikes/cross-country-mountain-bikes/supercaliber/c/B314/",
"https://www.trekbikes.com/us/en_US/bikes/mountain-bikes/cross-country-mountain-bikes/procaliber/c/B312/",
"https://www.trekbikes.com/us/en_US/bikes/mountain-bikes/cross-country-mountain-bikes/x-caliber/c/B315/",
"https://www.trekbikes.com/us/en_US/bikes/mountain-bikes/cross-country-mountain-bikes/marlin/c/B321/",
"https://www.trekbikes.com/us/en_US/bikes/mountain-bikes/cross-country-mountain-bikes/820/c/B324/"
)
) %>%
bind_rows(
tibble(
family = c("Train"),
url = c(
"https://www.trekbikes.com/us/en_US/bikes/mountain-bikes/trail-mountain-bikes/slash/c/B341/",
"https://www.trekbikes.com/us/en_US/bikes/mountain-bikes/trail-mountain-bikes/remedy/c/B331/",
"https://www.trekbikes.com/us/en_US/bikes/mountain-bikes/trail-mountain-bikes/fuel-ex/c/B332/",
"https://www.trekbikes.com/us/en_US/bikes/mountain-bikes/trail-mountain-bikes/roscoe/c/B342/"
)
)
) %>%
bind_rows(
tibble(
family = c("Electric"),
url = c(
"https://www.trekbikes.com/us/en_US/bikes/mountain-bikes/electric-mountain-bikes/powerfly/c/B337/",
"https://www.trekbikes.com/us/en_US/bikes/mountain-bikes/electric-mountain-bikes/powerfly-equipped/c/B355/",
"https://www.trekbikes.com/us/en_US/bikes/mountain-bikes/electric-mountain-bikes/rail/c/B344/",
"https://www.trekbikes.com/us/en_US/bikes/mountain-bikes/electric-mountain-bikes/e-caliber/c/B356/",
"https://www.trekbikes.com/us/en_US/bikes/mountain-bikes/electric-mountain-bikes/fuel-exe/c/B346/"
)
)
) %>%
bind_rows(
tibble(
family = c("Fat", "Downhill"),
url = c(
"https://www.trekbikes.com/us/en_US/bikes/mountain-bikes/fat-bikes/farley/c/B336/",
"https://www.trekbikes.com/us/en_US/bikes/mountain-bikes/downhill-mountain-bikes/session/c/B351/"
)
)
) %>%
mutate(category = "Mountain", .before = family)
# * City Bikes ----
city_bikes_url_tbl <- tibble(
family = c("All City"),
url = c("https://www.trekbikes.com/us/en_US/bikes/hybrid-bikes/electric-hybrid-bikes/c/B550/")
) %>%
mutate(category = "City", .before = family)
# * Combine Bike Tables
final_bikes_url_tbl <- bind_rows(
road_bikes_url_tbl,
mountain_bikes_url_tbl,
city_bikes_url_tbl
)
# ******************************************************************************
# EXPERIMENTING WITH JUST 1 URL ----
# ******************************************************************************
base_url <- "https://www.trekbikes.com/"
url <- "https://www.trekbikes.com/us/en_US/bikes/mountain-bikes/downhill-mountain-bikes/session/c/B351/"
url_html <- read_html(url)
url_html %>%
html_nodes(".product-tile__link") %>%
html_attr("href") %>%
unique() %>%
enframe(name = "position", value = "product_url") %>%
mutate(full_product_url = paste0(base_url, url)) %>%
filter(!str_detect(product_url, "frameset"))
# * Function To Get Product URLs ----
get_bikes_urls <- function(url) {
base_url <- "https://www.trekbikes.com/"
url_html <- read_html(url)
url_html %>%
html_nodes(".product-tile__link") %>%
html_attr("href") %>%
unique() %>%
enframe(name = "position", value = "product_url") %>%
filter(!str_detect(product_url, "frameset")) %>%
mutate(full_product_url = paste0(base_url, product_url)) %>%
select(-product_url)
}
get_bikes_urls(url)
# * Scale Up To All Product Categories ----
plan("multisession")
bikes_url_tbl <- road_bikes_url_tbl %>%
mutate(product_urls = future_map(url, get_bikes_urls))
bikes_url_tbl <- bikes_url_tbl %>%
unnest() %>%
mutate(product_id = gsub("[^0-9.-]", "", stri_sub(full_product_url, -6)))
bikes_url_tbl %>% View()
# * Web Scrape Bike Information ----
url <- "https://www.trekbikes.com//us/en_US/bikes/electra-bikes/electra-e-bikes/townie-go/townie-go-5i-eq-step-thru/p/33004/"
product_name <- read_html(url) %>%
html_element("#gtm-product-name") %>%
html_attr("value")
product_id <- read_html(url) %>%
html_element("#gtm-product-code") %>%
html_attr("value") %>%
as.numeric()
product_price <- read_html(url) %>%
html_element("#gtm-product-display-price") %>%
html_attr("value")
product_year <- read_html(url) %>%
html_element("[product-model-year]") %>%
html_attr("product-model-year")
product_image_url <- read_html(url) %>%
html_element("[image-url]") %>%
html_attr("image-url")
specs_tbl <- read_html(url) %>%
html_elements('[class="sprocket__table spec"]') %>%
html_table()
specs_cols_to_keep <- c("Frame", "Fork", "Shock", "Rim", "Tire", "Shifter",
"Front derailleur", "Rear derailleur",
"Chain", "Brake", "Battery", "Charger", "Controller",
"Motor", "Weight")
specs_tbl <- tibble(X1 = specs_cols_to_keep) %>%
left_join(
bind_rows(specs_tbl) %>%
filter(X1 %in% specs_cols_to_keep)
) %>%
spread(X1, X2) %>%
clean_names()
final_product_tbl <- tibble(product_id, product_name, product_price, product_year,
product_image_url) %>%
bind_cols(specs_tbl)
bike_urls_tbl %>%
mutate(product_id = gsub("[^0-9.-]", "", stri_sub(my_string, -6))) %>%
View()
specs_tbl %>% View()
# ******************************************************************************
# CREATE FUNCTIONS ----
# ******************************************************************************
# * Function To Get Product URLs ----
get_bikes_urls <- function(url) {
base_url <- "https://www.trekbikes.com/"
url_html <- read_html(url)
url_tbl <- url_html %>%
html_nodes(".product-tile__link") %>%
html_attr("href") %>%
unique() %>%
enframe(name = "position", value = "product_url") %>%
filter(!str_detect(product_url, "frameset")) %>%
mutate(full_product_url = paste0(base_url, product_url)) %>%
select(-product_url)
return(url_tbl)
}
# * Function To Scrape Data Fore Each Product URL ----
get_bikes_data <- function(url){
# product name
product_name <- read_html(url) %>%
html_element("#gtm-product-name") %>%
html_attr("value")
# product id
product_id <- read_html(url) %>%
html_element("#gtm-product-code") %>%
html_attr("value")
# product price
product_price <- read_html(url) %>%
html_element("#gtm-product-display-price") %>%
html_attr("value")
# product year
product_year <- read_html(url) %>%
html_element("[product-model-year]") %>%
html_attr("product-model-year")
# product image url
product_image_url <- read_html(url) %>%
html_element("[image-url]") %>%
html_attr("image-url")
# product specs
specs_info <- read_html(url) %>%
html_elements('[class="sprocket__table spec"]') %>%
html_table()
# specs table columns
specs_cols_to_keep <- c("Frame", "Fork", "Shock", "Rim", "Tire", "Shifter",
"Front derailleur", "Rear derailleur",
"Chain", "Brake", "Battery", "Charger", "Controller",
"Motor", "Weight")
# specs dataframe
specs_tbl <- tibble(x1 = specs_cols_to_keep) %>%
left_join(
bind_rows(specs_info) %>%
clean_names() %>%
filter(x1 %in% specs_cols_to_keep)
) %>%
spread(x1, x2) %>%
clean_names()
# final product dataframe
final_product_tbl <- tibble(
#product_id,
product_name,
product_price,
product_year,
product_image_url
) %>%
bind_cols(specs_tbl)
return(final_product_tbl)
}
get_bikes_data(url)
# ******************************************************************************
# SCRAPE DATA ----
# ******************************************************************************
# * Get Product URLs ----
tic()
plan("multisession")
product_url_tbl <- final_bikes_url_tbl %>%
mutate(product_urls = future_map(url, get_bike_urls))
toc()
# Unnest Product URLs Table ----
product_url_unest_tbl <- product_url_tbl %>%
unnest() %>%
mutate(product_id = gsub("[^0-9.-]", "", stri_sub(full_product_url, -6))) %>%
distinct()
product_url_unest_tbl %>% View()
product_url_unest_tbl %>%
select(full_product_url) %>%
count(full_product_url, sort = TRUE)
# * Scrape Data For Each Product URL ----
# - Slicing the data by rows of 50 each.
# - Some rows were throwing errors so I need to narrow down to find the rows.
# - I Skipped the last 15 rows from product_url_unest_tbl as some of these were causing errors
product_details_tbl_1 <- product_url_unest_tbl %>%
slice(1:50) %>%
mutate(product_details = future_map(full_product_url, get_bikes_data))
product_details_tbl_2 <- product_url_unest_tbl %>%
slice(51:100) %>%
mutate(product_details = future_map(full_product_url, get_bikes_data))
product_details_tbl_3 <- product_url_unest_tbl %>%
slice(101:150) %>%
mutate(product_details = future_map(full_product_url, get_bikes_data))
product_details_tbl_4 <- product_url_unest_tbl %>%
slice(151:200) %>%
mutate(product_details = future_map(full_product_url, get_bikes_data))
product_details_tbl_5 <- product_url_unest_tbl %>%
slice(201:220) %>%
mutate(product_details = future_map(full_product_url, get_bikes_data))
product_details_tbl_6 <- product_url_unest_tbl %>%
slice(221:230) %>%
mutate(product_details = future_map(full_product_url, get_bikes_data))
product_details_tbl <- bind_rows(
product_details_tbl_1,
product_details_tbl_2,
product_details_tbl_3,
product_details_tbl_4,
product_details_tbl_5,
product_details_tbl_6
) %>%
unnest(product_details)
product_details_tbl %>% glimpse()
# ******************************************************************************
# SAVE DATASET ----
# ******************************************************************************
product_details_tbl %>% write_rds("data/trekbikes_raw_data.rds")
# ******************************************************************************
# DOWNLOAD PRODUCT IMAGES ----
# ******************************************************************************
# * Get Product Image URLs ----
product_image_tbl <- product_details_tbl %>%
filter(!str_detect(product_name, "Frameset")) %>%
mutate(concat = paste(product_id, product_image_url, sep = " ")) %>%
select(concat)
product_image_tbl %>% View()
# * Function To Download & Save Images ----
get_bikes_images <- function(x) {
pid = sub(" .*", "", x)
url = sub(".* ", "", x)
path = paste0("../jpg/", "product_id_", pid, ".jpg")
download.file(url = paste0("https:", url), destfile = path, mode = "wb")
}
# * Download & Save Images ----
plan("multisession")
walk(product_image_tbl$concat, get_bikes_images)