📦 Python ETL Pipeline

This repository contains a simple Python-based ETL (Extract, Transform, Load) pipeline that demonstrates how to extract data from an API and export it to a CSV file.

📄 Script: api_to_csv_export.py

This script performs the following tasks:

Extracts data from a public or private API. Transforms the data into a structured format. Loads the data into a CSV file for further analysis or storage.

🚀 Getting Started

✅ Prerequisites Make sure you have Python 3.7+ installed. You’ll also need the following libraries:

Shell pip install requests pandas

📂 Usage

Run the script using:

Shell python api_to_csv_export.py

You can modify the API endpoint and output file path inside the script as needed.

🧠 Features

Simple and clean ETL structure Easy to customize for different APIs Outputs data in CSV format Uses requests for API calls and pandas for data handling

📁 Folder Structure

Python_ETL_Pipeline/
│
├── api_to_csv_export.py   # Main ETL script
└── data/                  # Folder for storing exported CSV files

🙌 Contributing

Feel free to fork the repo and submit pull requests for improvements or new features.