JSON (JavaScript Object Notation) is a widely-used, lightweight data-interchange format that is easy for humans to read and write and machines to parse and generate, commonly employed for data transmission between servers and web applications via APIs. Python supports JSON natively through its json module, part of the Python Standard Library, offering functions like json.loads() and json.load() to convert JSON strings and files into Python objects such as dictionaries and lists. The module also allows for customization through encoders and decoders, enabling the transformation of JSON data into custom Python classes. While the json module is powerful, it may struggle with non-standard or malicious JSON data, prompting the consideration of commercial tools like Web Scraper API and Bright Data for enhanced parsing capabilities and security. The tutorial demonstrates the practical applications of parsing JSON data into Python using various examples, highlighting both strengths and limitations of the module and suggesting advanced solutions for complex parsing needs.