Python API & JSON for Beginners — Part 1: From Website JSON to Python
Learn how website data travels from the browser to a server — and how to reproduce that same request in Python.
In this beginner-friendly tutorial, we use Chrome DevTools Network to inspect a real request to DummyJSON, understand the JSON response, and then parse the same data step by step with Python.
You’ll see the complete flow:
Website → Browser Request → Server → JSON Response → Python → Parsing → Loop
In this video, you’ll learn how to:
-inspect requests in Chrome DevTools → Network
-identify the Request URL, endpoint, GET method, and 200 OK status
-understand Preview vs Response
-recognize JSON objects `{ }` and arrays `[ ]`
-convert JSON into Python dictionaries and lists
-use `requests.get()`
-use `response.json()`
-inspect data with `.keys()` and `type()`
-access list positions like `[0]`
-access dictionary keys like `["title"]`
-loop through all product titles
This tutorial is designed for complete beginners who want to understand where website data actually comes from, instead of just copying Python code.
Demo API: DummyJSON
Next, we can take the same dataset and start analyzing it with Python — totals, averages, sorting, grouping, and more.
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