Overview
Welcome to our API JSON Fragrance Explorer! This app showcases how to efficiently retrieve and analyze large datasets from websites that provide APIs returning data in JSON format.
Project Workflow
Instead of scraping messy HTML, this project leverages APIs — modern, structured data sources offering quick access to product information like brand, price, description, and images in JSON. We collect and clean this data to create a rich, analyzable dataset.
Data Collection
The fragrance data was fetched by calling a public API in respectful batches to avoid overload. The data was then cleaned and stored for easy analysis.
Interactive Analysis
The app lets you explore the fragrance dataset with interactive tables and charts — see the most expensive products, cheapest offers, top brands, and price distributions — all powered by clean JSON data converted into pandas DataFrames.
Why This Project?
This project highlights how APIs and JSON make data collection simpler and faster, enabling powerful insights without the complexity of traditional web scraping.
Scalability
While the app demonstrates analysis on a snapshot of over 800 men’s fragrances, the approach scales easily to larger datasets and different API sources.
Try the App
Dive into the data and explore the fragrances by launching the app below.