diff --git a/ua-pay.py b/ua-pay.py
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+++ b/ua-pay.py
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+#!/usr/bin/python3
+# Description: A command-line interface to https://openpayrolls.com for University of Arizona payroll data.
+# Usage: python3 ua-pay.py -fn <first_name> -ln <last_name>
+# Author: Justin Oros
+# Source: https://github.com/JustinOros
+# Dependencies: pip install requests selenium beautifulsoup4
+
+import argparse
+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options
+from bs4 import BeautifulSoup
+
+# Setup argparse to allow command-line input for first and last name
+parser = argparse.ArgumentParser(description="Scrape data for a given employee from OpenPayrolls.")
+parser.add_argument('-fn', '--firstname', required=True, help="First name of the employee")
+parser.add_argument('-ln', '--lastname', required=True, help="Last name of the employee")
+
+# Parse command-line arguments
+args = parser.parse_args()
+
+# Construct URL using provided first and last name (converted to lowercase)
+url = f'https://openpayrolls.com/employee/{args.firstname.lower()}-{args.lastname.lower()}-4329'
+
+# Set up Selenium WebDriver (Chrome in headless mode)
+options = Options()
+options.headless = True  # Ensure headless mode is enabled
+options.add_argument("--no-sandbox")  # Sometimes needed for headless mode to work in certain environments
+options.add_argument("--disable-dev-shm-usage")  # Prevents issues in some systems
+
+# Specify the path to the ChromeDriver if it's not in the system PATH
+driver = webdriver.Chrome(options=options)
+
+# Open the target URL
+driver.get(url)
+
+# Wait for the page to fully load (use a fixed time delay or more advanced methods if necessary)
+driver.implicitly_wait(10)  # wait up to 10 seconds for the page to load
+
+# Get the page source after JavaScript has been rendered
+page_source = driver.page_source
+
+# Use BeautifulSoup to parse the page content
+soup = BeautifulSoup(page_source, 'html.parser')
+
+# Extract all text from the page
+page_text = soup.get_text(strip=True)
+
+# Find portion of the text starting with "University of Arizona (UA) records show" and ending with "employees."
+start_marker = "University of Arizona (UA) records show"
+end_marker = "employees."
+
+# Find the start and end positions in the text
+start_index = page_text.find(start_marker)
+end_index = page_text.find(end_marker, start_index) + len(end_marker)
+
+# Extract the relevant portion of the text (if both markers are found)
+if start_index != -1 and end_index != -1:
+    relevant_text = page_text[start_index:end_index]
+    print(relevant_text)
+else:
+    print("The specified text could not be found on the page.")
+
+# Close the browser after scraping
+driver.quit()