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retrieve_targeting_data.R
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source("utils.R")
# ?get_targeting
# get_targeting("41459763029", timeframe = "LAST_90_DAYS")
# debugonce(get_targeting)
library(httr)
library(tidyverse)
walk_progress <- function(.x, .f, ...) {
.f <- purrr::as_mapper(.f, ...)
pb <- progress::progress_bar$new(
total = length(.x),
format = " (:spin) [:bar] :percent | :current / :total | eta: :eta",
# format = " downloading [:bar] :percent eta: :eta",
force = TRUE)
f <- function(...) {
pb$tick()
.f(...)
}
purrr::walk(.x, f, ...)
}
map_progress <- function(.x, .f, ...) {
.f <- purrr::as_mapper(.f, ...)
pb <- progress::progress_bar$new(
total = length(.x),
format = " (:spin) [:bar] :percent | :current / :total | eta: :eta",
# format = " downloading [:bar] :percent eta: :eta",
force = TRUE)
f <- function(...) {
pb$tick()
.f(...)
}
purrr::map(.x, f, ...)
}
map_dfr_progress <- function(.x, .f, ...) {
.f <- purrr::as_mapper(.f, ...)
pb <- progress::progress_bar$new(
total = length(.x),
format = " (:spin) [:bar] :percent | :current / :total | eta: :eta",
# format = " downloading [:bar] :percent eta: :eta",
force = TRUE)
f <- function(...) {
pb$tick()
.f(...)
}
purrr::map_dfr(.x, f, ...)
}
map_chr_progress <- function(.x, .f, ...) {
.f <- purrr::as_mapper(.f, ...)
pb <- progress::progress_bar$new(
total = length(.x),
format = " (:spin) [:bar] :percent | :current / :total | eta: :eta",
# format = " downloading [:bar] :percent eta: :eta",
force = TRUE)
f <- function(...) {
pb$tick()
.f(...)
}
purrr::map_chr(.x, f, ...)
}
tstamp <- Sys.time()
write_lines(lubridate::as_date(tstamp), "tstamp.txt")
dir.create(paste0("historic/", lubridate::as_date(tstamp)), recursive = T)
# tstamp <- Sys.time()
more_data <- dir("data/reports", full.names = T) %>%
map_dfr(~read_csv(.x) %>% mutate(path = .x)) %>%
mutate(date_produced = str_remove_all(path, "data/reports/FacebookAdLibraryReport_|_NL_yesterday_advertisers\\.csv")) %>%
mutate(date_produced = lubridate::ymd(date_produced)) %>%
janitor::clean_names()%>% #rename(advertiser_id = page_id) %>%
mutate(spend = readr::parse_number(amount_spent_eur)) %>%
mutate(spend = ifelse(spend == 100, 50, spend)) %>%
distinct(page_id, .keep_all = T) %>%
mutate(party1 = case_when(
str_detect(page_name, "VVD") ~ "VVD",
str_detect(page_name, "\\bCDA\\b") ~ "CDA",
str_detect(page_name, "PvdA|Jonge Socialisten") ~ "PvdA",
str_detect(page_name, "D66|Jonge Democraten") ~ "D66",
str_detect(page_name, "GroenLinks|GL") ~ "GroenLinks",
str_detect(page_name, "ChristenUnie|CU") ~ "ChristenUnie",
str_detect(page_name, "\\bSP\\b") ~ "SP",
str_detect(page_name, "FvD|FVD|Forum voor Democratie") ~ "FvD",
str_detect(page_name, "50Plus|50PLUS") ~ "50PLUS",
str_detect(page_name, "\\bSGP\\b") ~ "SGP",
str_detect(page_name, "PvdD|Partij voor de Dieren") ~ "PvdD",
str_detect(page_name, "PVV") ~ "PVV",
str_detect(page_name, "DENK") ~ "DENK",
str_detect(page_name, "Volt|VOLT") ~ "Volt Nederland",
str_detect(page_name, "BIJ1|BiJ") ~ "BIJ1",
str_detect(page_name, "BVNL") ~ "BVNL",
str_detect(page_name, "Ja21") ~ "JA21",
str_detect(page_name, "Alliantie") ~ "Alliantie",
str_detect(page_name, "BBB") ~ "BBB",
T ~ NA_character_
)) %>%
mutate(party2 = case_when(
str_detect(disclaimer, "VVD") ~ "VVD",
str_detect(disclaimer, "\\bCDA\\b") ~ "CDA",
str_detect(disclaimer, "PvdA|Jonge Socialisten") ~ "PvdA",
str_detect(disclaimer, "D66|Jonge Democraten") ~ "D66",
str_detect(disclaimer, "GroenLinks|GL") ~ "GroenLinks",
str_detect(disclaimer, "ChristenUnie|CU") ~ "ChristenUnie",
str_detect(disclaimer, "\\bSP\\b") ~ "SP",
str_detect(disclaimer, "FvD|FVD|Forum voor Democratie") ~ "FvD",
str_detect(disclaimer, "50Plus|50PLUS") ~ "50PLUS",
str_detect(disclaimer, "\\bSGP\\b") ~ "SGP",
str_detect(disclaimer, "PvdD|Partij voor de Dieren") ~ "PvdD",
str_detect(disclaimer, "PVV") ~ "PVV",
str_detect(disclaimer, "DENK") ~ "DENK",
str_detect(disclaimer, "Volt|VOLT") ~ "Volt Nederland",
str_detect(disclaimer, "BIJ1|BiJ") ~ "BIJ1",
str_detect(disclaimer, "BVNL") ~ "BVNL",
str_detect(disclaimer, "Ja21") ~ "JA21",
str_detect(disclaimer, "BBB") ~ "BBB",
T ~ NA_character_
)) %>%
mutate(party = ifelse(is.na(party1), party2, party1)) %>%
drop_na(party) %>%
distinct(page_id, .keep_all = T) %>%
filter(str_detect(page_name, "Global Space Conference on Climate Change|de Alliantie|PvdA - GroenLinks", negate = T)) %>%
mutate(page_id = as.character(page_id))
source("utils.R")
unlink("targeting/7", recursive = T, force = T)
unlink("targeting/30", recursive = T, force = T)
dir.create("targeting/7")
dir.create("targeting/30")
# internal_page_ids <- read_csv("data/nl_advertisers.csv") %>%
# mutate(page_id = as.character(page_id))
internal_page_ids <- read_csv("https://raw.githubusercontent.com/favstats/ProvincialeStatenverkiezingen2023/main/data/nl_advertisers.csv") %>%
mutate(page_id = as.character(page_id))
# internal_page_ids %>%
# count(party, sort = T) %>% View
wtm_data <- read_csv("data/wtm-advertisers-nl-2023-07-18T21_09_43.051Z.csv") %>% #names
select(page_id = advertisers_platforms.advertiser_platform_ref,
page_name = name, party = entities.short_name) %>%
mutate(page_id = as.character(page_id)) %>%
# filter(party == "And") %>% #View
# count(party, sort = T) %>%
mutate(party = case_when(
str_detect(party, "VVD") ~ "VVD",
str_detect(party, "\\bCDA\\b") ~ "CDA",
str_detect(party, "PvdA|Jonge Socialisten") ~ "PvdA",
str_detect(party, "D66|Jonge Democraten") ~ "D66",
str_detect(party, "GroenLinks|GL") ~ "GroenLinks",
str_detect(party, "ChristenUnie|CU") ~ "ChristenUnie",
str_detect(party, "\\bSP\\b") ~ "SP",
str_detect(party, "FvD|FVD|Forum voor Democratie") ~ "FvD",
str_detect(party, "50Plus|50PLUS") ~ "50PLUS",
str_detect(party, "\\bSGP\\b") ~ "SGP",
str_detect(party, "PvdD|Partij voor de Dieren") ~ "PvdD",
str_detect(party, "PVV") ~ "PVV",
str_detect(party, "DENK") ~ "DENK",
str_detect(party, "Volt|VOLT") ~ "Volt Nederland",
str_detect(party, "BIJ1|BiJ") ~ "BIJ1",
str_detect(party, "BVNL") ~ "BVNL",
str_detect(party, "Ja21") ~ "JA21",
str_detect(page_name, "Alliantie") ~ "Alliantie",
str_detect(page_name, "Partij voor de Dieren") ~ "PvdD",
str_detect(page_name, "Christine Govaert") ~ "BBB",
str_detect(page_name, "BVNL|Belang van Nederland") ~ "BVNL",
T ~ party
))
rep <- read_csv("data/FacebookAdLibraryReport_2023-07-15_NL_last_90_days_advertisers.csv") %>% janitor::clean_names() %>%
mutate(page_id = as.character(page_id)) %>%
mutate(party1 = case_when(
str_detect(page_name, "VVD") ~ "VVD",
str_detect(page_name, "\\bCDA\\b") ~ "CDA",
str_detect(page_name, "PvdA|Jonge Socialisten") ~ "PvdA",
str_detect(page_name, "D66|Jonge Democraten") ~ "D66",
str_detect(page_name, "GroenLinks|GL") ~ "GroenLinks",
str_detect(page_name, "ChristenUnie|CU") ~ "ChristenUnie",
str_detect(page_name, "\\bSP\\b") ~ "SP",
str_detect(page_name, "FvD|FVD|Forum voor Democratie") ~ "FvD",
str_detect(page_name, "50Plus|50PLUS") ~ "50PLUS",
str_detect(page_name, "\\bSGP\\b") ~ "SGP",
str_detect(page_name, "PvdD|Partij voor de Dieren") ~ "PvdD",
str_detect(page_name, "PVV") ~ "PVV",
str_detect(page_name, "DENK") ~ "DENK",
str_detect(page_name, "Volt|VOLT") ~ "Volt Nederland",
str_detect(page_name, "BIJ1|BiJ") ~ "BIJ1",
str_detect(page_name, "BVNL") ~ "BVNL",
str_detect(page_name, "Ja21") ~ "Ja21",
str_detect(page_name, "Alliantie") ~ "Alliantie",
str_detect(page_name, "BBB") ~ "BBB",
T ~ NA_character_
)) %>%
mutate(party2 = case_when(
str_detect(disclaimer, "VVD") ~ "VVD",
str_detect(disclaimer, "\\bCDA\\b") ~ "CDA",
str_detect(disclaimer, "PvdA|Jonge Socialisten") ~ "PvdA",
str_detect(disclaimer, "D66|Jonge Democraten") ~ "D66",
str_detect(disclaimer, "GroenLinks|GL") ~ "GroenLinks",
str_detect(disclaimer, "ChristenUnie|CU") ~ "ChristenUnie",
str_detect(disclaimer, "\\bSP\\b") ~ "SP",
str_detect(disclaimer, "FvD|FVD|Forum voor Democratie") ~ "FvD",
str_detect(disclaimer, "50Plus|50PLUS") ~ "50PLUS",
str_detect(disclaimer, "\\bSGP\\b") ~ "SGP",
str_detect(disclaimer, "PvdD|Partij voor de Dieren") ~ "PvdD",
str_detect(disclaimer, "PVV") ~ "PVV",
str_detect(disclaimer, "DENK") ~ "DENK",
str_detect(disclaimer, "Volt|VOLT") ~ "Volt Nederland",
str_detect(disclaimer, "BIJ1|BiJ") ~ "BIJ1",
str_detect(disclaimer, "BVNL") ~ "BVNL",
str_detect(disclaimer, "Ja21") ~ "Ja21",
str_detect(disclaimer, "BBB") ~ "BBB",
T ~ NA_character_
)) %>%
mutate(party = ifelse(is.na(party1), party2, party1)) %>%
drop_na(party) %>%
distinct(page_id, .keep_all = T) %>%
filter(str_detect(page_name, "Global Space Conference on Climate Change|de Alliantie|PvdA - GroenLinks", negate = T))
# 338750440106782
all_dat <- #read_csv("nl_advertisers.csv") %>%
# mutate(page_id = as.character(page_id)) %>%
bind_rows(internal_page_ids) %>%
bind_rows(wtm_data) %>%
bind_rows(rep) %>%
bind_rows(more_data %>% mutate(source = "new")) %>%
distinct(page_id, .keep_all = T) %>%
add_count(page_name, sort =T) %>%
mutate(remove_em = n >= 2 & str_ends(page_id, "0")) %>%
filter(!remove_em) %>%
# filter(n >= 2) %>%
# filter(n >= 2 & str_ends(page_id, "0", negate = T)) %>%
select(-n) %>%
mutate(party = case_when(
str_detect(party, "VVD") ~ "VVD",
str_detect(party, "\\bCDA\\b") ~ "CDA",
str_detect(party, "PvdA|Jonge Socialisten") ~ "PvdA",
str_detect(party, "D66|Jonge Democraten") ~ "D66",
str_detect(party, "GroenLinks|GL") ~ "GroenLinks",
str_detect(party, "ChristenUnie|CU") ~ "ChristenUnie",
str_detect(party, "\\bSP\\b") ~ "SP",
str_detect(party, "FvD|FVD|Forum voor Democratie") ~ "FvD",
str_detect(party, "50Plus|50PLUS") ~ "50PLUS",
str_detect(party, "\\bSGP\\b") ~ "SGP",
str_detect(party, "PvdD|Partij voor de Dieren") ~ "PvdD",
str_detect(party, "PVV") ~ "PVV",
str_detect(party, "DENK") ~ "DENK",
str_detect(party, "Volt|VOLT") ~ "Volt Nederland",
str_detect(party, "BIJ1|BiJ") ~ "BIJ1",
str_detect(party, "BVNL") ~ "BVNL",
str_detect(party, "Ja21|JA21") ~ "Ja21",
str_detect(party, "Alliantie") ~ "Alliantie",
str_detect(party, "BBB") ~ "BBB",
T ~ party
))
scraper <- function(.x, time = "7") {
# print(paste0(.x$page_name,": ", round(which(internal_page_ids$page_id == .x$page_id)/nrow(internal_page_ids)*100, 2)))
yo <- get_targeting(.x$page_id, timeframe = glue::glue("LAST_{time}_DAYS")) %>%
mutate(tstamp = tstamp)
if(nrow(yo)!=0){
path <- paste0(glue::glue("provincies/{time}/"),.x$page_id, ".rds")
# if(file.exists(path)){
# ol <- read_rds(path)
#
# saveRDS(yo %>% bind_rows(ol), file = path)
# } else {
saveRDS(yo, file = path)
# }
}
# print(nrow(yo))
# })
return(yo)
}
scraper <- possibly(scraper, otherwise = NULL, quiet = F)
# if(F){
# # dir("provincies/7", full.names
# }
# da30 <- readRDS("data/election_dat30.rds")
# da7 <- readRDS("data/election_dat7.rds")
### save seperately
yo <- all_dat %>%
split(1:nrow(.)) %>%
map_dfr_progress(scraper, 7)
yo <- all_dat %>%
split(1:nrow(.)) %>%
map_dfr_progress(scraper, 30)
# saveRDS(yo, file = )
library(tidyverse)
da30 <- dir("provincies/30", full.names = T) %>%
map_dfr_progress(readRDS) %>%
mutate(total_spend_formatted = parse_number(total_spend_formatted)) %>%
rename(page_id = internal_id) %>%
left_join(all_dat)
# da30 %>%
# count(party, sort = T) %>% View
da7 <- dir("provincies/7", full.names = T) %>%
map_dfr_progress(readRDS) %>%
mutate(total_spend_formatted = parse_number(total_spend_formatted)) %>%
rename(page_id = internal_id) %>%
left_join(all_dat)
saveRDS(da30, "data/election_dat30.rds")
saveRDS(da7, "data/election_dat7.rds")