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JSON (JavaScript Object Notation) has become a widely accepted format for exchanging data between web servers, web applications, and mobile apps. Its simplicity, flexibility, and ease of use have made it a popular choice for data interchange. However, as the amount of JSON data grows, so does the need for efficient querying and manipulation of this data. This is where JSON query comes into play.

This article dives deep into the world of JSON Query. We will explore what it is, why you need it, the most popular query languages (like jq, JMESPath, and JSONPath), practical examples, performance considerations, and best practices.

data = [json.loads(line) for line in open('app.log')] expr = parse("$[?(@.level=='ERROR' && @.timestamp >= '2025-05-14T09:00:00Z')]") matches = [match.value for match in expr.find(data)]

Navigate JSON hierarchies using dot or bracket notation: