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data-se.r
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data-se.r
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# scrape bills
root = "http://www.senate.be"
cat("Scraping raw upper chamber data...\n")
for (k in 6:1) {
file = paste0("data/dossiers-se", k + 48, ".csv")
if (!file.exists(file)) {
cat("Scraping legislature", k + 48, "... ")
h = htmlParse("http://www.senate.be/www/?MIval=/Dossiers/NieuweDossiers&LANG=fr")
h = xpathSApply(h, paste0("//a[contains(@href, 'LEG=", k, "&')]/@href"))
cat(length(h), "pages\n\n")
d = data.frame()
for (i in h) {
cat("Page", sprintf("%3.0f", which(i == h)), "scraping ")
hh = htmlParse(paste0(root, i))
hh = xpathSApply(hh, "//a[contains(@href, 'NR=')]/@href")
cat(sprintf("%3.0f", length(hh)), "dossiers\n")
r = data.frame()
for (j in hh) {
t = try(htmlParse(paste0(root, j)))
if (!"try-error" %in% class(t)) {
amd = which(readHTMLTable(t)[[3]]$Titre == "Amendements")
if (length(amd)) {
amd = xpathSApply(t, "//table[3]/tr/td[1]/a[1]/@href")[ amd ]
amd = paste0(amd[ !grepl("lachambre", amd) ], collapse = ";")
} else {
amd = NA
}
type = readHTMLTable(t)[[3]]$Titre[1]
if (!length(type)) type = NA
status = as.character(readHTMLTable(t)[[5]][2, 2])
if (!length(status)) status = NA
title = str_clean(xpathSApply(t, "//table[1]/tr/td", xmlValue)[4])
topic = gsub("( )+( )?", ",", xpathSApply(t, "//table[2]/tr/td", xmlValue))
topic = toupper(gsub(",$", "", topic))
u = xpathSApply(t, "//a[contains(@href, 'showSenator')]/@href")
if (length(u))
r = rbind(r, data_frame(
legislature = 48 + as.numeric(gsub("(.*)LEG=(\\d+)(.*)", "\\2", j)),
dossier = sprintf("%04.0f", as.numeric(gsub("(.*)NR=(\\d+)(.*)", "\\2", j))),
type, status, title, topic,
authors = paste0(paste(xpathSApply(t, "//a[contains(@href, 'showSenator')]", xmlValue),
"[", gsub("(.*)ID=(\\d+)(.*)", "\\2", u), "]"), collapse = ";"),
amendments = amd))
}
}
d = rbind(r, d)
}
write.csv(d, file, row.names = FALSE)
cat("Scraped", nrow(d), "rows over", n_distinct(d$dossier), "dossiers\n")
}
}
# parse bills
dir = list.files("data", pattern = "dossiers-se\\d+\\.csv", full.names = TRUE)
for (k in dir) {
file = gsub("dossiers", "sponsors", k)
if (!file.exists(file)) {
d = read.csv(k, stringsAsFactors = FALSE)
cat("Building", file, ":", nrow(d), "dossiers\n")
sp = data.frame()
for (j in nrow(d):1) {
dd = d[ j, ]
r = unlist(strsplit(na.omit(dd$amendments), ";"))
dd = data_frame(
uid = paste0(dd$legislature, "K", sprintf("%04.0f", dd$dossier)),
dossier = paste0(dd$legislature, "K", sprintf("%04.0f", dd$dossier)),
document = NA,
type = dd$type,
topic = dd$topic,
status = dd$status,
n_au = 1 + str_count(dd$authors, ";"),
authors = paste0(unlist(str_extract_all(dd$authors, "\\d+|;")), collapse = "")
)
if (length(r)) {
amdts = c()
for (i in r) {
h = htmlParse(paste0(root, i))
h = xpathSApply(h, "//frame[@name='pub_doc']/@src")
h = htmlParse(paste0(root, h))
h = sapply(xpathSApply(h, "//td"), function(x) {
y = gsub("(.*)ID=(\\d+)(.*)", "\\2", xpathApply(x, "a/@href"))
paste0(y, collapse = ";")
})
h = h[ h != "" ]
amdts = c(amdts, h)
}
if (length(amdts)) {
dd = rbind(dd, data_frame(
uid = dd$uid,
dossier = dd$dossier,
document = NA,
type = "AMENDEMENT",
topic = dd$topic,
status = NA,
n_au = 1 + str_count(amdts, ";"),
authors = amdts
))
dd$uid = paste0(dd$uid, "-", 1:nrow(dd))
dd$document = 1:nrow(dd)
sp = rbind(sp, dd)
}
} else {
dd$uid = paste0(dd$uid, "-1")
dd$document = 1
sp = rbind(sp, dd)
}
}
sp$type = toupper(sp$type)
sp$status = toupper(sp$status)
write.csv(sp, file, row.names = FALSE)
}
sp = read.csv(file, stringsAsFactors = FALSE)
}
bills = lapply(dir("data", pattern = "sponsors-se\\d{2}.csv", full.names = TRUE), read.csv,
stringsAsFactors = FALSE)
bills = bind_rows(bills)
bills$legislature = substr(bills$uid, 1, 2)
# no need to rewrite that attribute
# table(bills$n_au == 1 + str_count(bills$authors, ";"), exclude = NULL)
# table(bills$authors == "" | is.na(bills$authors), exclude = NULL)
# bills$n_au[ is.na(bills$authors) ] = NA
bills$type[ grepl("AMENDEMENT", bills$type) ] = "AMENDEMENT"
bills$type[ grepl("AUTRES|NOTE|PROJET|RAPPORT|RÉVISION|COMMISSION SPÉCIALE|TEXTE", bills$type) ] = "AUTRE"
bills$type[ grepl("PROPOSITION DE LOI", bills$type) ] = "PROPOSITION DE LOI"
bills$type[ grepl("PROPOSITION", bills$type) & !grepl("PROPOSITION DE LOI", bills$type) ] = "PROPOSITION"
#print(table(bills$type, bills$legislature, exclude = NULL))
bills$status[ grepl("ADOPTÉ|PUBLIÉ|TERMINÉ|PROMULGUÉ", bills$status) ] = "ADOPTE"
bills$status[ grepl("CADUC|REJETÉ|NON PRIS", bills$status) ] = "REJETE"
bills$status[ grepl("SANS OBJET|RETIRÉ|COMMUNIQUÉ|A L'EXAMEN", bills$status) ] = NA
#print(table(bills$type, bills$status, exclude = NULL))
# full list of sponsors
a = sort(unique(unlist(strsplit(bills$authors, ";"))))
# ignore sponsors with empty pages
a = a[ !a %in% c("4078", "43496", "4624", "4595", "4388", "4346",
"4297", "4289", "4193", "4118", "397", "3968",
"3952", "3940", "351", "250") ]
if (!file.exists("data/sponsors-se.csv")) {
# scrape only sponsors, not full list of identified senators (link below, i = 1:5)
# htmlParse(paste0(root, "/www/?MIval=/WieIsWie/LijstDerSenatoren&LEG=", i, "&LANG=fr"))
b = data.frame()
for (x in rev(a)) {
cat(sprintf("%3.0f", which(a == x)), "Scraping senator", str_pad(x, 4, "right"))
f = paste0("raw/senateur-", x, ".html")
if (!file.exists(f))
download.file(paste0("http://www.senate.be/www/?MIval=/showSenator&ID=", x, "&LANG=fr"),
f, mode = "wb", quiet = TRUE)
h = htmlParse(f, encoding = "UTF-8")
sex = na.omit(str_extract(xpathSApply(h, "//table/tr", xmlValue), "Sénateur|Sénatrice"))
man = xpathSApply(h, "//table/tr", xmlValue)
man = man[ (which(man == "Travail parlementaire") + 1):length(man) ]
man = unique(unlist(str_extract_all(man[ grepl("gislature", man) ], "[0-9]{4}-[0-9]{4}")))
if (is.null(man)) man = "-"
h = data_frame(
sid = as.character(x),
nom = xpathSApply(h, "//title", xmlValue, encoding = "iso-8859-1"),
sex = ifelse(length(sex), sex, NA),
from = min(as.numeric(unlist(strsplit(man, "-"))), na.rm = TRUE),
to = max(as.numeric(unlist(strsplit(man, "-"))), na.rm = TRUE),
mandate = paste0(sort(man), collapse = ";"),
parti = str_clean(xpathSApply(h, "//table/tr[1]", xmlValue))
)
h$from[ is.infinite(h$from) ] = NA
h$to[ is.infinite(h$to) ] = NA
h$nyears = h$to - h$from + 1
h$parti = gsub("(.*)\\s-\\s(.*)", "\\2", h$parti)
cat(":", h$nom, h$parti, h$from, "-", h$to, "\n")
b = rbind(b, h)
}
write.csv(b, "data/sponsors-se.csv", row.names = FALSE)
}
b = read.csv("data/sponsors-se.csv", stringsAsFactors = FALSE)
b$sex = NULL
# senators data identify all sponsors
stopifnot(as.integer(a) %in% b$sid)
b$parti[ b$nom == "Lode Vereeck" ] = "Open Vld" = # duplicated row
b$parti[ b$nom == "Anne Lambelin" ] = "PS" # duplicated row
b$parti[ grepl("Correspondance", b$parti, useBytes = TRUE) ] = "CD&V" # Pieter de Crem bugfix
b$parti[ grepl("Bureau", b$parti, useBytes = TRUE) ] = "PS" # Patrick Moriau bugfix
b$parti[ grepl("^Priv", b$parti, useBytes = TRUE) ] = "sp.a" # Inga Verhaert bugfix
b$parti[ b$nom == "Herman De Croo" ] = "VLD" # since 2009 (?)
b$parti[ b$nom == "Michiel Aerbeydt" ] = "PSC" # Parti Catholique
b$parti[ grepl("^Ind", b$parti, useBytes = TRUE) ] = "IND"
# match lower chamber
b$parti[ b$parti %in% c("Vlaams Belang", "VL. BLOK") ] = "VLAAMS"
b$parti[ b$parti %in% c("Agalev", "Agalev-Ecolo", "Groen", "Groen!", "Ecolo-Groen", "Ecolo") ] = "ECOLO"
b$parti[ b$parti == "PS" ] = "SOC-F"
b$parti[ b$parti %in% c("SP", "SP.A-SPIRIT", "sp.a") ] = "SOC-V"
b$parti[ b$parti %in% c("PRL", "PRL-FDF", "MR") ] = "LIB-F"
b$parti[ b$parti %in% c("PVV", "Open Vld", "VLD") ] = "LIB-V"
b$parti[ b$parti %in% c("PSC", "cdH") ] = "CDEM-F"
b$parti[ b$parti %in% c("CVP", "CD&V") ] = "CDEM-V"
b$parti[ b$parti %in% c("VU", "VU-ID", "N-VA") ] = "VOLKS"
table(b$parti, exclude = NULL)
# fix names
b$nom = gsub("è", "è", b$nom)
b$nom = gsub("é", "é", b$nom)
b$nom = gsub("ê", "ê", b$nom)
b$nom[ b$nom == "Hermes Sanctorum - Vandevoorde" ] = "Hermes Sanctorum-Vandevoorde"
# remove duplicates
b = unique(b)
stopifnot(!duplicated(b$sid))
# fill with lots of manually imputed sex codes
s = read.csv("data/sponsors-se-details.csv", stringsAsFactors = FALSE)
b = left_join(b, s, by = "sid")
# recode mandate length
b$mandate = sapply(b$mandate, function(x) {
x = as.numeric(unlist(str_extract_all(x, "[0-9]{4}")))
if (!length(x))
NA
else
paste0(seq(min(x), max(x)), collapse = ";")
})
# hist(1 + str_count(b$mandate, ","))
# check for duplicates
rownames(b) = b$nom
# download photos
b$photo = b$sid
for (i in b$photo) {
photo = paste0("photos_se/", i, ".gif")
if (!file.exists(photo))
try(download.file(paste0("http://www.senate.be/www/?MItabObj=persoon&MIcolObj=foto&MInamObj=persoonid&MIvalObj=",
i, "&MItypeObj=image/gif"), photo, mode = "wb", quiet = TRUE), silent = TRUE)
if (!file.exists(photo) || !file.info(photo)$size) {
file.remove(photo) # will warn if missing
b$photo[ b$photo == i ] = NA
} else {
b$photo[ b$photo == i ] = photo
}
}
# no constituencies in the Belgian Senate
b$constituency = NA_character_
# full URLs
b$url = paste0("http://senat.be/www/?MIval=/showSenator&ID=", b$sid, "&LANG=fr")
# ============================================================================
# QUALITY CONTROL
# ============================================================================
# - might be missing: born (int of length 4), constituency (chr),
# photo (chr, folder/file.ext)
# - never missing: sex (chr, F/M), nyears (int), url (chr, URL),
# party (chr, mapped to colors)
cat("Missing", sum(is.na(b$born)), "years of birth\n")
stopifnot(is.integer(b$born) & nchar(b$born) == 4 | is.na(b$born))
cat("Missing", sum(is.na(b$constituency)), "constituencies\n")
stopifnot(is.character(b$constituency))
cat("Missing", sum(is.na(b$photo)), "photos\n")
stopifnot(is.character(b$photo) & grepl("^photos(_\\w{2})?/(.*)\\.\\w{3}", b$photo) | is.na(b$photo))
stopifnot(!is.na(b$sex) & b$sex %in% c("F", "M"))
# stopifnot(!is.na(b$nyears) & is.integer(b$nyears)) ## computed on the fly
stopifnot(!is.na(b$url) & grepl("^http(s)?://(.*)", b$url))
stopifnot(b$party %in% names(colors))
# ============================================================================
# EXPORT BILLS
# ============================================================================
## all keywords
# kw = unlist(strsplit(bills$topic, ","))
# table(kw)[ table(kw) > 300 ]
write.csv(bills, "data/bills-se.csv", row.names = FALSE)