A simple Python automation script that pulls product data from a public API, processes it using pandas, stores the full dataset in a SQLite database, and exports the top 5 highest-rated products to a CSV file.
Automate a data pipeline that:
- Pulls data from a REST API
- Cleans and filters the data
- Stores it in a local database
- Outputs a report to CSV
This simulates real-world data workflows for e-commerce, product analytics, and business automation.
Python 3requestsfor API callspandasfor data processingsqlite3for local databaseJSONandCSVI/O
- URL: https://fakestoreapi.com/products
- Returns fake e-commerce product data (title, price, rating, etc.)