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scrape.R
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scrape.R
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#################################################
# Digital NZ resources are harvested by this R programme.
#################################################
rm(list = ls())
# Prep: packages
packages_to_install <- c("rvest",
"dplyr",
"curl",
"rdflib",
"tidyr",
"tibble",
"jsonld",
"jsonlite",
"purrr",
"XML",
"rjson",
"stringr"
)
for (i in length(packages_to_install)){
if (!(packages_to_install[i] %in% installed.packages())) {
install.packages(packages_to_install[i])
}
}
rm(packages_to_install)
# Call packages:
library(rvest) # (also calls xml2)
#library(xml2)
library(dplyr)
library(curl)
library(rdflib)
library(tidyr)
library(tibble)
library(jsonld)
library(jsonlite)
library(purrr)
library(XML)
library(rjson)
library(stringr)
#################################################
# Scrape and Arrange:
### Using a set of phrases to search for records on DigitalNZ
# url creation - adding specifiers:
search_term <- "&text=maori+village+flooding+rain+damage"
#earthquake
#seismic activity
#rū whenua
#rūaumoko
#extreme weather
#flooding
#hail
#lightning
#storm
#
#uanui
#uaroa
#uawhatu
#uira
#āwha
#tūpuhi
#marangai
#marae
#kainga
#papakainga
#kura kaupapa
#hui
#wananga
#ūrupa
#māori village
#ngahere
#awa
search_term_clean <- str_remove(search_term, "&text=")
#usage_term <- "&usage=Share" #only collect share-able items
call <- paste("https://api.digitalnz.org/v3/records.xml?api_key=M2w8CXHEAaiExaTTxXQG",
search_term,
#usage_term,
"&per_page=100",
"&sort=date",
sep = "")
doc <- read_html(call)
rm(call)
result_count <- as.character(
doc %>%
rvest::html_node("search") %>%
xml2::xml_find_all("result-count") %>%
rvest::html_text())
print(paste("Using", search_term, "this scrape finds", result_count, "terms"))
harvest <- function(x, y) {output <- x %>%
rvest::html_nodes("search") %>%
xml2::xml_find_all(paste("//results", y)) %>%
rvest::html_text()
return(output)
}
y <- c("/result/id")
record_id <- harvest(doc, y)
y <- c("/result/display-date")
display_date <- harvest(doc, y)
y <- c("/result/source-url")
page_link <- harvest(doc, y)
y <- c("/result/landing-url")
api_link <- harvest(doc, y)
y <- c("/result/content-partner")
publisher <- harvest(doc, y)
y <- c("/result/creator")
creator <- harvest(doc, y)
y <- c("/result/title")
title <- harvest(doc, y)
y <- c("/result/usage")
usage <- harvest(doc, y)
y <- c("/result/fulltext")
full_text <- harvest(doc, y)
rm(y)
#y <- c("")
# <- harvest(doc, y)
# Arrange scraped results as data frame:
call_results_items_df <- data.frame(record_id, title, display_date, full_text, usage, api_link, page_link, publisher, creator)
rm(record_id, title, display_date, full_text, usage, api_link, page_link, publisher, creator)
call_results_items_df <- mutate(call_results_items_df,
search = search_term_clean,
page = 1,
n_results = result_count)
results_items_df <- call_results_items_df
# Second page of results (as result_count > 100)
if(as.numeric(result_count)>100&as.numeric(result_count)<200){
page_term <- paste("&per_page=", as.numeric(result_count)-100,sep="")
call2 <- paste("https://api.digitalnz.org/v3/records.xml?api_key=M2w8CXHEAaiExaTTxXQG",
search_term,
#usage_term,
page_term,
"&page=2",
"&sort=date",
sep = "")
doc2 <- read_html(call2)
rm(call2)
# harvest record_id, title, date published, full_text, publisher, links (in two lots if there are two pages)
doc <- doc2
y <- c("/result/id")
record_id <- harvest(doc, y)
y <- c("/result/display-date")
display_date <- harvest(doc, y)
y <- c("/result/source-url")
page_link <- harvest(doc, y)
y <- c("/result/landing-url")
api_link <- harvest(doc, y)
y <- c("/result/creator")
creator <- harvest(doc, y)
y <- c("/result/content-partner")
publisher <- harvest(doc, y)
y <- c("/result/title")
title <- harvest(doc, y)
y <- c("/result/usage")
usage <- harvest(doc, y)
y <- c("/result/fulltext")
full_text <- harvest(doc, y)
rm(y)
#y <- c("")
# <- harvest(doc, y)
# Arrange scraped results as data frame:
call2_results_items_df <- data.frame(record_id, title, display_date, full_text, usage, api_link, page_link, publisher, creator)
rm(record_id, title, display_date, full_text, usage, api_link, page_link, publisher, creator)
call2_results_items_df <- mutate(call2_results_items_df,
search = search_term_clean,
page = 2,
n_results = result_count)
rm(page_term)
# Bind pages of search together
results_items_df <- bind_rows(call_results_items_df, call2_results_items_df)
# Tidy workspace
rm(call2_results_items_df)
rm(doc2)
}
# Tidy workspace
rm(call_results_items_df)
rm(result_count)
rm(search_term)
rm(doc)
# Save using search term as filename
filename <- paste("data/digital_nz_results_", search_term_clean, ".Rdata", sep = "")
save(results_items_df, file = filename)
# Clear all
rm(list = ls())