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Data scraping: Difference between revisions

From The APES Atlas
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# Run scraper function
# Run scraper function
#----------------------------------------------------------------------------------
#----------------------------------------------------------------------------------
scrape_apesatlas(path_to_save)
scrape_apesatlas(path_to_save) # insert your folder path
#----------------------------------------------------------------------------------
#----------------------------------------------------------------------------------
# SCRIPT END
# SCRIPT END

Revision as of 00:02, 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 all lines from # SCRIPT START to # SCRIPT END and paste it into your editor.
# 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):
path_to_save = "YOUR_PATH"  # e.g. "D:/Users/APESATLAS/"
# 3. Run all lines between '# SCRIPT START' to '# SCRIPT END' in R.
#    Note: 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.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")
#----------------------------------------------------------------------------------
# Define the path to save the results
#----------------------------------------------------------------------------------
# Run scraper function
#----------------------------------------------------------------------------------
scrape_apesatlas(path_to_save) # insert your folder path
#----------------------------------------------------------------------------------
# SCRIPT END