Data scraping: Difference between revisions
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# The following R code extracts data from the standardized APES Atlas tables. | # The following R code extracts data from the standardized APES Atlas tables. | ||
# The following code must be loaded into R. | # The following code must be loaded into R. | ||
# It will take about two minutes for the results to be saved. | # It will take about two minutes for the results to be scraped and saved. | ||
#--------------------------------------------------------------------------------------------------------------------------------- | #--------------------------------------------------------------------------------------------------------------------------------- | ||
Revision as of 23:20, 7 November 2025
### APES Atlas Web Scraper
# The following R code extracts data from the standardized APES Atlas tables.
# The following code must be loaded into R.
# It will take about two minutes for the results to be scraped and saved.
#---------------------------------------------------------------------------------------------------------------------------------
rm(list=ls())
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# Install & load packages
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#install.packages("plyr")
#install.packages("writexl")
#install.packages("jsonlite")
#install.packages("httr2")
library(httr2)
library(jsonlite)
library(writexl)
library(plyr)
#---------------------------------------------------------------------------------------------------------------------------------
# Load functions from Github
#---------------------------------------------------------------------------------------------------------------------------------
source("https://github.com/lakik/apesatlas_scraping/raw/refs/heads/main/script")
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# Define the path to save the results
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path_to_save = "YOUR_PATH" # change accordingly
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# Run scraper function
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scrape_apesatlas(path_to_save,api_url)
#---------------------------------------------------------------------------------------------------------------------------------