This blog covers JSON in depth — from the basics of JSON Schema validation to advanced topics like handling large files, designing clean REST API responses, and querying JSON with JSONPath. Each article is written by developers who work with JSON daily and focuses on practical, actionable content with real code examples.
JSON Schema lets you define the exact shape and constraints of your JSON data — types, required fields, string patterns, number ranges, and nested rules. Learn how to write schemas and validate data in JavaScript and Python.
Complete code examples for reading and writing JSON in four languages, including error handling, file I/O, and common pitfalls like BigInt precision loss in JavaScript and datetime serialization in Python.
YAML is human-friendly and supports comments; JSON is strict and universally supported. This guide compares them side by side with the same config written both ways, and explains where each format wins.
A JWT is three base64url-encoded JSON objects joined by dots. Understand the header, payload, and signature, how to decode and verify tokens, and the security pitfalls that catch developers off guard.
JSONPath is to JSON what XPath is to XML. Learn the full syntax — root operator, wildcards, array slicing, recursive descent, and filter expressions — to extract exactly the data you need from complex JSON structures.
Files over 10MB will slow most browser tools; over 50MB will crash them. Learn streaming parsers, jq command-line workflows, Python chunking techniques, and when to move JSON into a database instead.
Naming conventions, error response formats, pagination shapes, ISO 8601 dates, null vs missing fields, and the anti-patterns that make APIs painful to consume — with concrete JSON examples throughout.
Step-by-step conversion guide with working code in JavaScript and Python. Covers flattening nested objects for CSV, mapping JSON to XML elements, YAML gotchas, and using our Export button to convert in one click.