Python tutorial shows how to extract and track product prices from JSON-LD data

A developer tutorial published on DEV Community demonstrates how to monitor product price and stock changes using JSON-LD structured data embedded in web pages. The guide explains that many e-commerce product pages include machine-readable Schema.org markup, which can be parsed programmatically in Python. The tutorial covers extracting key fields such as price, currency, availability, and offer count from both single offers and aggregate offer blocks. It also walks through building a diff mechanism to detect changes between successive data snapshots, such as price drops or stock status updates. Unit tests included in the article validate the parsing logic across various edge cases, including malformed JSON and non-standard data formats.