Step 1 - Fake Store Ingestion Pipeline

This repository contains a Python pipeline to:

• Extract product data from the Fake Store API
• Save it as CSV in a local data/ directory
• Upload the file to a Google Cloud Storage bucket

Tech Stack

• Python
• Google Cloud Storage (GCS)
• Fake Store API
• virtualenv

Project Structure

fake-store-pipeline/
├── .venv/                  # Virtual environment
├── data/                   # Folder to store CSVs
├── ingestion/
│   ├── config.py           # Contains GCS bucket config
│   └── fetch_products.py   # Script to fetch data from API and upload to GCS
├── requirements.txt        # Python dependencies
└── README.md        

How to Run it :

# 1. Create & activate a virtual environment
python -m venv .venv
source .venv/bin/activate       # On Windows: .venv\Scripts\activate

# 2. Install dependencies
pip install -r requirements.txt

# 3. Run the ingestion pipeline
python ingestion/fetch_products.py

Output

The script fetches data from https://fakestoreapi.com/products

Saves it locally as data/products.csv

Uploads it to your configured GCS bucket

Author

Julien T.W AGA

Junior Data Engineer & Analytics Enthusiast – 2025