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From The APES Atlas
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<pre>
<pre>
# SCRIPT START
 
### APES Atlas Web Scraper
################# APES Atlas Web Scraper #################


# The following R code extracts data from the standardized APES Atlas tables.
# The following R code extracts data from the standardized APES Atlas tables.
# To execute the code, you need to have R installed and an editor (e.g., Rstudio or Notepad++).  
# To execute the code, you need to have R installed and an editor (e.g. R Studio or Notepad++).  


# How to:
# INSTRUCTIONS
# 1. Copy all lines from '# SCRIPT START' to '# SCRIPT END'and paste it into your editor.
# 1. Copy the lines below from # SCRIPT START to # SCRIPT END and paste them into your editor.
# 2. In the last line, replace "path_to_save" with the folder path name where you want to store the scraped data (use only '/' or '\\' as folder separator). For example, replace path_to_save with "D:/users/my_docs/APESATLAS/"


# 2. In the following line, change 'YOUR_PATH' to the folder path where you want to store the scraped data (Use only '/' or '\\' as folder separator):
# 3. Run the lines in R.
path_to_save = "YOUR_PATH"  # e.g. "D:/Users/APESATLAS/"
#  Note: Windows may open during the installation of the packages. Confirm all with ‘OK’.
#  It will take about 30 seconds for the tables to be scraped and saved into the folder specified in path_to_save .


# 3. Run all lines between '# SCRIPT START' to '# SCRIPT END' in the RGui/R-console.
#    Windows may open during the installation of the packages. Confirm all with ‘OK’.
#    It will take about two minutes for the results to be scraped and saved into the folder specified above.


# SCRIPT START
#----------------------------------------------------------------------------------
#----------------------------------------------------------------------------------
# Install & load packages
# Install & load packages
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install.packages("plyr")
install.packages("plyr")
install.packages("writexl")
install.packages("writexl")
install.packages("jsonlite")
install.packages("data.table")
install.packages("httr2")
install.packages("httr2")
library(httr2)
library(httr2)
library(jsonlite)
library(data.table)
library(writexl)
library(writexl)
library(plyr)
library(plyr)
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#----------------------------------------------------------------------------------
#----------------------------------------------------------------------------------
source("https://github.com/lakik/apesatlas_scraping/raw/refs/heads/main/script")
source("https://github.com/lakik/apesatlas_scraping/raw/refs/heads/main/script")
#----------------------------------------------------------------------------------
# Define the path to save the results
#----------------------------------------------------------------------------------
#----------------------------------------------------------------------------------
# Run scraper function
# Run scraper function

Latest revision as of 20:00, 21 January 2026


################# APES Atlas Web Scraper #################

# The following R code extracts data from the standardized APES Atlas tables.
# To execute the code, you need to have R installed and an editor (e.g. R Studio or Notepad++). 

# INSTRUCTIONS
# 1. Copy the lines below from # SCRIPT START to # SCRIPT END and paste them into your editor.
# 2. In the last line, replace "path_to_save" with the folder path name where you want to store the scraped data (use only '/' or '\\' as folder separator). For example, replace path_to_save with "D:/users/my_docs/APESATLAS/"

# 3. Run the lines in R.
#  Note: Windows may open during the installation of the packages. Confirm all with ‘OK’.
#  It will take about 30 seconds for the tables to be scraped and saved into the folder specified in path_to_save .


# SCRIPT START
#----------------------------------------------------------------------------------
# Install & load packages
#----------------------------------------------------------------------------------
install.packages("plyr")
install.packages("writexl")
install.packages("data.table")
install.packages("httr2")
library(httr2)
library(data.table)
library(writexl)
library(plyr)
#----------------------------------------------------------------------------------
# Load functions from Github
#----------------------------------------------------------------------------------
source("https://github.com/lakik/apesatlas_scraping/raw/refs/heads/main/script")
#----------------------------------------------------------------------------------
# Run scraper function
#----------------------------------------------------------------------------------
scrape_apesatlas(path_to_save)
#----------------------------------------------------------------------------------
# SCRIPT END