🚀 We are hiring! See open positions

What are some ways to parse JSON datasets in Python?

by Bernardas Alisauskas May 29, 2023 1 min read

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:

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

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).

Scale Your Web Scraping
Anti-bot bypass, browser rendering, and rotating proxies — all in one API. Start with 1,000 free credits.
No credit card required 1,000 free API credits Anti-bot bypass included
Not ready? Get our newsletter instead.