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devices_only_test.r
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devices_only_test.r
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## get list of oems' devices count only
# all of them from https://www.tidyverse.org/packages/ except "htmltab"
library(rvest)
library(dplyr)
library(magrittr)
library(htmltab)
library(purrr)
library(jsonlite)
library(stringr)
# setwd("git/scrape-gsma/")
options(stringsAsFactors = FALSE)
options(echo = TRUE)
print(sys.nframe())
# prevent running main code when sourced
if (sys.nframe() == 0) {
print("main lines running (when script run in interactive mode)")
# TODO: don't run these vpn functions if not on Linux
switch_vpn <- function(x = 10) {
print("Switching VPN server..")
protonvpn_resp <- system("protonvpn-cli c -r", intern = TRUE)
if (!grepl("Successfully connected", protonvpn_resp[4], fixed = TRUE)) {
disconnect_vpn(5)
switch_vpn()
}
print("VPN changed!")
Sys.sleep(x)
}
disconnect_vpn <- function(x = 1) {
print("Disconnecting VPN..")
protonvpn_resp <- system("protonvpn-cli d", intern = TRUE)
print("VPN Disconnected!")
Sys.sleep(x)
}
safe_read_html <- function(url, x = 10) {
switch_vpn(x)
tryCatch(
{
print(paste("Getting html content of:", url))
xml2::read_html(url)
},
error = function(e) {
print(paste("ERROR Retry getting html of:", url))
disconnect_vpn()
safe_read_html(url, 30)
}
)
}
safe_download_xml <- function(url, x = 10) {
switch_vpn(x)
tryCatch(
{
print(paste("Downloading xml content of:", url))
xml2::download_xml(url)
},
error = function(e) {
print(paste("ERROR Retry downloading xml of:", url))
disconnect_vpn()
safe_download_xml(url, 30)
}
)
}
if (file.exists("gsm.csv")) {
gsm <- read.csv("gsm.csv")
}
build_oem_table <- function(...) {
# TODO: VPN here?
sesh <- session("https://www.gsmarena.com/makers.php3")
makers <- safe_read_html(sesh)
maker_nodes <- makers %>% html_nodes(".st-text a")
# <a href="acer-phones-59.php">Acer<br><span>100 devices</span></a>
# <a href="alcatel-phones-5.php">alcatel<br><span>407 devices</span></a>
maker_names <- maker_nodes %>% html_text()
# chr [1:119]
# "Acer100devices"
# "alcatel407 devices"
maker_devices_count <- makers %>% html_nodes(".st-text span") %>% html_text()
#
# "100 devices"
# "407 devices"
oem_names <- mapply(gsub, maker_devices_count, "", maker_names) %>% `names<-`(NULL)
# chr [1:119]
# "Acer"
# "alcatel"
maker_devices_count <- gsub(pattern = " devices", replacement = "", x = maker_devices_count) %>% as.numeric()
# num [1:119]
# 100
# 407
maker_url = maker_nodes %>% html_attr("href")
# chr [1:119]
# "acer-phones-59.php"
# "alcatel-phones-5.php"
oem_table <- data.frame(maker = oem_names, device_count = maker_devices_count, resource_location = maker_url)
# maker device_count resource_location
# 1 Acer 100 acer-phones-59.php
# 2 alcatel 407 alcatel-phones-5.php
return(oem_table)
# gets the page count of each oem
for (oem in oem_table$maker[1:nrow(oem_table)]) {
oem_pages_count <- parse_resource_locator(oem_table$resource_location[oem_table$maker == oem]) %>% oem_urls_count()
}
}
# oem_table <- build_oem_table()
parse_resource_locator <- function(location) {
paste0("https://www.gsmarena.com/", location)
# "https://www.gsmarena.com/acer-phones-59.php"
# "https://www.gsmarena.com/alcatel-phones-5.php"
# "https://www.gsmarena.com/samsung-phones-9.php"
}
oem_urls_count_s <- function(oem_base_url) {
##oem_base_url <- "https://www.gsmarena.com/samsung-phones-9.php" ###
src <- safe_read_html(oem_base_url)
Sys.sleep(3)
items <- src %>% html_nodes(".nav-pages strong , .nav-pages a") %>% html_text()
# chr [1:16]
# "1"
# "2"
items
}
oem_urls_count <- function(oem_base_url) {
items <- oem_urls_count_s(oem_base_url)
if (length(items) != 0) {
page_range <- 1:(items[length(items)] %>% as.numeric())
# int [1:16]
page_range[length(page_range)]
} else {
1
}
}
oem_urls <- function(oem_base_url) {
items <- oem_urls_count_s(oem_base_url)
if (length(items) != 0) {
page_range <- 1:(items[length(items)] %>% as.numeric())
# int [1:16]
# 1
# 2
maker_id <- stringr::str_match(oem_base_url, "https://www.gsmarena.com/(.*?)-phones-")[2]
# "samsung"
maker_indx <- stringr::str_match(oem_base_url, ".*-phones-(.*?).php")[2]
# "9"
map_chr(page_range,
function(pg_count) {
paste0("https://www.gsmarena.com/", maker_id, "-phones-f-",
maker_indx, "-0-p", pg_count, ".php"
)
}
)
# "https://www.gsmarena.com/samsung-phones-f-9-0-p1.php"
# "https://www.gsmarena.com/samsung-phones-f-9-0-p2.php"
} else {
oem_base_url
}
}
# oem_urls("https://www.gsmarena.com/samsung-phones-9.php")
listed_devices <- function(page_url) {
## page_url <- "https://www.gsmarena.com/samsung-phones-f-9-0-p1.php" ###
src <- safe_read_html(page_url)
nodes <- src %>% html_nodes("#review-body a")
# <a href="samsung_galaxy_a04e-11945.php"><img src="https://fdn2.gsmarena.com/vv/bigpic/samsung-galaxy-a04e.jpg" title="Samsung Galaxy A04e Android smartphone. Announced Oct 2022. Features 6.5″ display, 5000 mAh battery, 128 GB storage, 4 GB RAM."><strong><span>Galaxy A04e</span></strong></a>
devices <- nodes %>% html_text()
# chr [1:85]
# "Galaxy A04e"
# "Galaxy Tab Active4 Pro"
# "Galaxy A04s"
devices_url <- nodes %>% html_attr("href")
# chr [1:85]
# "samsung_galaxy_a04e-11945.php"
# "samsung_galaxy_tab_active4_pro-11840.php"
# "samsung_galaxy_a04s-11803.php"
data.frame(device_name = devices, device_resource = devices_url)
# device_name device_resource
# 1 Galaxy A04e samsung_galaxy_a04e-11945.php
# 2 Galaxy Tab Active4 Pro samsung_galaxy_tab_active4_pro-11840.php
# 3 Galaxy A04s samsung_galaxy_a04s-11803.php
}
# listed_devices("https://www.gsmarena.com/samsung-phones-f-9-0-p1.php")
scrape_df <- function(url) {
## url <- "https://www.gsmarena.com/samsung_galaxy_a04e-11945.php" ###
src <- safe_read_html(url)
switch_vpn()
doc <- safe_download_xml(url)
# file "samsung_galaxy_a04e-11945.php" ???
# `xml2::download_xml(url)` is almost identical to browser source code.
# Both read functions convert the encoding to UTF-8 and they are almost identical.
# number of [sub]tables on page
n_head <- src %>% html_nodes("th") %>% length()
# 13(L??)
# TODO explore changing ~~`safe_read_html(url)`~~ `src` with `doc`
get_head_tbl <- function(head_indx) {
## head_indx <- 3 ### 1:13L
out = tryCatch(
{
suppressMessages(htmltab(doc, which = head_indx, rm_nodata_cols = FALSE) %>%
# Body Dimensions 164.2 x 75.9 x 9.1 mm (6.46 x 2.99 x 0.36 in)
# 2 Body Weight 188 g (6.63 oz)
# 3 Body Build Glass front, plastic back, plastic frame
# 4 Body SIM Single SIM (Nano-SIM) or Dual SIM (Nano-SIM, dual stand-by)
as.data.frame() %>%
# same
rbind(colnames(.), .) %>%
# Body Dimensions 164.2 x 75.9 x 9.1 mm (6.46 x 2.99 x 0.36 in)
# 1 Body Dimensions 164.2 x 75.9 x 9.1 mm (6.46 x 2.99 x 0.36 in)
# 2 Body Weight 188 g (6.63 oz)
# 3 Body Build Glass front, plastic back, plastic frame
# 4 Body SIM Single SIM (Nano-SIM) or Dual SIM (Nano-SIM, dual stand-by)
`colnames<-`(c("type", "sub_type", "val")))
# type sub_type val
# 1 Body Dimensions 164.2 x 75.9 x 9.1 mm (6.46 x 2.99 x 0.36 in)
# 2 Body Weight 188 g (6.63 oz)
# 3 Body Build Glass front, plastic back, plastic frame
# 4 Body SIM Single SIM (Nano-SIM) or Dual SIM (Nano-SIM, dual stand-by)
},
error = function(e) {
xp <- '//th | //*[contains(concat( " ", @class, " " ), concat( " ", "ttl", " " ))]//*[contains(concat( " ", @class, " " ), concat( " ", "nfo", " " ))]'
print(paste("Fetching chunk", head_indx, "of", n_head))
# "Fetching chunk 3 of 13"
# TODO this is not working, getting the following error.
# Error in XML::htmlParse("", list(encoding = "UTF-8")) : empty or no content specified
# Try instead:
# replace `url` with `toString(src)`
switch_vpn()
suppressMessages(htmltab(url, which = head_indx, body = xp) %>%
as.data.frame() %>%
rbind(colnames(.), .) %>%
`colnames<-`(c("type", "sub_type", "val")))
}
)
out
}
df <- map(1:n_head, get_head_tbl) %>% bind_rows()
# type sub_type val
# 1 Network Technology GSM / HSPA / LTE
# 2 Network 2G bands GSM 850 / 900 / 1800 / 1900 - SIM 1 & SIM 2 (dual-SIM model only)
# 3 Network 3G bands HSDPA 850 / 900 / 2100
# 4 Network 4G bands 1, 3, 5, 7, 8, 20, 28, 38, 40, 41
# 5 Network Speed HSPA, LTE
# 6 Launch Announced 2022, October 21
# 7 Launch Status Available. Released 2022, November 07
# 8 Body Dimensions 164.2 x 75.9 x 9.1 mm (6.46 x 2.99 x 0.36 in)
# 9 Body Weight 188 g (6.63 oz)
# 10 Body Build Glass front, plastic back, plastic frame
# 11 Body SIM Single SIM (Nano-SIM) or Dual SIM (Nano-SIM, dual stand-by)
# 12 Display Type PLS LCD
# 13 Display Size 6.5 inches, 102.0 cm (~81.8% screen-to-body ratio)
# 14 Display Resolution 720 x 1600 pixels, 20:9 ratio (~270 ppi density)
# 15 Platform OS Android 12, One UI Core 4.1
# 16 Platform CPU Octa-core (2.3 GHz & 1.8 GHz)
# 17 Memory Card slot microSDXC (dedicated slot)
# 18 Memory Internal 32GB 3GB RAM, 32GB 4GB RAM, 64GB 3GB RAM, 64GB 4GB RAM, 128GB 4GB RAM
# 19 Main Camera Dual 13 MP, f/2.2, (wide), AF 2 MP, f/2.4, (depth)
# 20 Main Camera Features LED flash
# 21 Main Camera Video 1080p@30fps
# 22 Selfie camera Single 5 MP, f/2.2
# 23 Selfie camera Video Yes
# 24 Sound Loudspeaker Yes
# 25 Sound 3.5mm jack Yes
# 26 Comms WLAN Wi-Fi 802.11 b/g/n, Wi-Fi Direct
# 27 Comms Bluetooth 5.0, A2DP, LE
# 28 Comms Positioning GPS, GLONASS, GALILEO, BDS
# 29 Comms NFC No
# 30 Comms Radio Unspecified
# 31 Comms USB USB Type-C 2.0, USB On-The-Go
# 32 Features Sensors Accelerometer, proximity
# 33 Battery Type Li-Po 5000 mAh, non-removable
# 34 Misc Colors Black, Copper, Light Blue
# 35 Misc Models SM-A042F, SM-A042F/DS, SM-A042M, SM-A042M/DS
# 36 Misc SAR EU 0.29 W/kg (head) 1.11 W/kg (body)
# 37 Misc Price £ 134.99
# deletes the downloaded .php files
system("rm *.php")
df
}
safe_scraper <- safely(scrape_df, otherwise = NULL)
ll <- list(devices = list())
# $ devices: list()
loop_the_loop <- function() {
if (exists("oem_table")) {
print("oem table exists")
} else {
print("building oem table...")
oem_table <<- build_oem_table()
print("oem table built!")
}
# oem_table:
# maker (chr), device_count (num), resource_location (chr)
# "Acer", 100, "acer-phones-59.php"
# "alcatel", 407, "alcatel-phones-5.php"
# "Samsung", 1343, "samsung-phones-9.php"
# maker device_count resource_location
# 1 Acer 100 acer-phones-59.php
# 2 alcatel 407 alcatel-phones-5.php
for (oem in oem_table$maker[1:nrow(oem_table)]) {
## oem <- "Samsung" ###
print(paste("processing OEM:", oem))
# "processing OEM: Samsung"
oem_listings <- parse_resource_locator(oem_table$resource_location[oem_table$maker == oem]) %>% oem_urls()
# chr [1:16]
# "https://www.gsmarena.com/samsung-phones-f-9-0-p1.php"
# "https://www.gsmarena.com/samsung-phones-f-9-0-p2.php"
print(paste("Pages found:", length(oem_listings)))
# "Pages found: 16"
## ll$devices[[oem]] <- list() ###
ll$devices[[oem]] <<- list()
# $ devices:List of 1
# ..$ Samsung: list()
for (page in oem_listings) {
# page <- "https://www.gsmarena.com/samsung-phones-f-9-0-p1.php"
devices_on_page <- listed_devices(page)
# device_name (chr), device_resource (chr)
# device_name (chr) device_resource (chr)
# 1 Galaxy A04e samsung_galaxy_a04e-11945.php
# 2 Galaxy Tab Active4 Pro samsung_galaxy_tab_active4_pro-11840.php
# 3 Galaxy A04s samsung_galaxy_a04s-11803.php
for (device in devices_on_page$device_name) {
# device <- "Galaxy A04e"
if (device %in% gsm$model && oem %in% gsm$oem) {
# TODO this is (probably?) wrong, correct it by adding a "oem_and_model"
# column to the gsm.csv data and checking with:
# if (paste(oem, device) %in% gsm$oem_and_model)
print("device exists. skipping...")
} else {
print(paste("retrieving data for:", device))
out = tryCatch(
{
gsm_data <- safe_scraper(devices_on_page %>%
filter(device_name == device) %>%
select(device_resource) %>% parse_resource_locator()
)
# safe_scraper("https://www.gsmarena.com/samsung_galaxy_a04e-11945.php")
#
if (!is.null(gsm_data$result)) {
gsm_data <- gsm_data$result
tmp_df <- data.frame(type = c("oem", "model"), sub_type = c("", ""), val = c(oem, device))
# type sub_type val
# 1 oem Samsung
# 2 model Galaxy A04e
# TODO add other columns above
# `oem - model`
# `resource_locator`?
# URL too?
gsm_data <- rbind(tmp_df, gsm_data)
# joins them
## ll$devices[[oem]][[device]] <- gsm_data ###
ll$devices[[oem]][[device]] <<- gsm_data
# TODO move this outside the loop because it overwrites the .json file with each loop
writeLines(toJSON(ll), "gsm.json")
}
}
)
}
}
}
}
}
loop_the_loop()
new_data_json <- readLines("gsm.json") %>% fromJSON()
long_to_wide <- function(df) {
as.data.frame(t(df$val)) %>%
`colnames<-`(paste0(df$type, "_", df$sub_type) %>%
str_trim(side = "both"))
}
gsm_new_devices <- new_data_json$devices %>% purrr::flatten() %>% map(long_to_wide) %>% bind_rows()
# remove trailing underscores from col names, replace spaces with underscores, lowercase col names
colnames(gsm_new_devices) <- colnames(gsm_new_devices) %>% str_replace("_\\Z", "") %>%
str_replace_all(" ", "_") %>% str_trim() %>% tolower()
# what is this for?
colnames(gsm_new_devices) <- colnames(gsm_new_devices) %>% str_replace("_na", "") %>%
str_replace("\\.\\.\\.[0-9]+", "")
df <- bind_rows(gsm_new_devices, gsm)
write.csv(df, "gsm.csv", na = "", row.names = FALSE)
}