Notes

import requests
from bs4 import BeautifulSoup
import pandas as pd

# Function to fetch grades from the LMS
def get_grades():
# Replace the URL with your LMS grade page
lms_url = "https://your-lms.com/grades"
response = requests.get(lms_url)

# Parse the HTML content to extract grades using BeautifulSoup
soup = BeautifulSoup(response.text, 'html.parser')
grades = extract_grades(soup)

return grades

# Function to extract grades from HTML content using BeautifulSoup
def extract_grades(soup):
# Implement the logic to extract grades from the HTML content
# This will depend on the specific HTML structure of your LMS
# Update the CSS selectors based on your LMS HTML structure
grade_elements = soup.select('.grade-class') # Replace with the actual CSS selector for your grades

# Extract grades from the HTML elements
grades = [float(grade_element.text) for grade_element in grade_elements]

return grades

# Function to add grades to an Excel file
def add_to_excel(grades):
# Replace "grades.xlsx" with your desired Excel file name
excel_file = "grades.xlsx"

# Read existing data from the Excel file
try:
df = pd.read_excel(excel_file)
except FileNotFoundError:
# If the file doesn't exist, create a new DataFrame
df = pd.DataFrame(columns=["StudentID", "Grade"])

# Create a new DataFrame with the fetched grades
new_data = pd.DataFrame({"Grade": grades})

# Concatenate the new data with the existing data
df = pd.concat([df, new_data], ignore_index=True)

# Write the updated DataFrame back to the Excel file
df.to_excel(excel_file, index=False)

if __name__ == "__main__":
# Get grades from the LMS
grades = get_grades()

# Add grades to the Excel file
add_to_excel(grades)