Build a Facial Recognition Attendance System

Here’s the full story of how a simple idea turned into a surprisingly profitable project.

I realized that many businesses and individuals struggle with data extraction. Whether it’s scraping pricing data, gathering leads, or automating repetitive web tasks, people were willing to pay for an easy solution.

In this tutorial, we’ll build a Python-based web scraper that tracks product prices on e-commerce websites and sends email alerts when prices drop below a specified threshold. This project is perfect for those interested in automation, data collection, and real-world applications of Python.

By the end of this tutorial, you’ll learn how to:

from openpyxl.formatting.rule import CellIsRule
from openpyxl.styles import PatternFill

# Define the fill color
green_fill = PatternFill(start_color='C6EFCE', end_color='C6EFCE', fill_type='solid')

# Add conditional formatting
sheet.conditional_formatting.add(
    'E2:E100',
    CellIsRule(operator='greaterThan', formula=['4000'], fill=green_fill)
)

# Save the workbook
workbook.save('sales_report_highlighted.xlsx')

Create a summary sheet to show the total sales for all products and the highest-selling product.

To test the connection, run the script:

node app.js