What are some ways to parse JSON datasets in Python?

by scrapecrow Apr 18, 2023
# python # data-parsing

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:

Quick Intro to Parsing JSON with JMESPath in Python

Introduction to JMESPath - JSON query language which is used in web scraping to parse JSON datasets for scrape data.

Quick Intro to Parsing JSON with JMESPath in Python

JSONPath is another popular JSON query language and library available in many languages:

Introduction to Parsing JSON with Python JSONPath

Intro to using Python and JSONPath library and a query language for parsing JSON datasets.

Introduction to Parsing JSON with Python JSONPath

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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