Python Automation Development Tutorials, Guides & Insights

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.

So I built a simple Python script that could scrape data from websites and save it in a CSV file. No fancy interface, no complex setup—just a straightforward tool that did the job.

To get started, install the necessary Python libraries:

pip install opencv-python dlib face-recognition sqlite3

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:

Create a sample Excel file named sales_data.xlsx with the following structure:

Here’s how to load and read data from an Excel file: