Modern web scraping often involved a lot of JSON parsing through hidden web data scraping or backend API scraping in particular. There are several ways to parse JSON data in Python.
JMESPath is a popular JSON query language and library available in many languages:
Complete introduction to using JMESPath in Python for JSON parsing and an example web scraping project.
JSONPath is another popular JSON query language and library available in many languages:
Complete introduction to JSONPath and how to use it in Python through an example web scraping project.
Both of these tools are a great way to parse JSON datasets within Python. As for which one is better - generally, JSONPath is more powerful by offering recursive selectors (e.g. $..book will select key book anywhere in the dataset) while Jmespath has a more intuitive syntax and better data reshaping capabilities (e.g. renaming keys and flattening nested data structures).
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