Blog

Guides, tutorials, and tips for working with JSON data.

Debugging API Responses — A Developer's JSON Workflow
Learn practical techniques for inspecting, querying, and validating JSON API responses during development. Speed up debugging with browser tools and json.express.
How to Query Nested JSON Objects Online
Learn how to use dot notation, wildcards, recursive descent, and array slicing to query JSON data. Step-by-step guide with examples.
JSONPath vs jq vs json.express — Which JSON Query Tool Should You Use?
A detailed comparison of JSONPath, jq, and json.express query syntax. Learn the differences, strengths, and when to use each tool.
JSON Config Files — Patterns, Pitfalls, and Validation
Practical guide to using JSON for application configuration. Covers common patterns, environment-specific configs, validation strategies, and mistakes to avoid.
How to Handle JSON with Comments — A Complete Guide
Standard JSON doesn't allow comments, but many tools use JSONC. Learn how json.express handles comments and trailing commas in JSON.
Generate TypeScript Types from JSON in Seconds
Learn how to automatically generate TypeScript interfaces from JSON data. Covers nested objects, arrays, union types, and optional properties.
JSON Dot Notation Explained with Practical Examples
Master JSON dot notation for accessing nested values. Learn about edge cases like keys with dots, numeric keys, and special characters.
JSON Array Slicing — Extract Subsets of Data Easily
Learn how to use array slicing syntax to extract portions of JSON arrays. Covers start:end ranges, negative indices, and practical examples.
Exploring package.json — Querying Your Node.js Project Metadata
Use JSON querying to quickly inspect dependencies, scripts, and metadata in package.json files. Practical examples for everyday Node.js development.
Working with JSON in CI/CD Pipelines
Practical techniques for parsing, validating, and transforming JSON in GitHub Actions, Docker configs, and deployment scripts. Avoid common pitfalls with JSON in automation.
Transforming API Data for Your Frontend — JSON Patterns That Scale
Learn practical patterns for reshaping JSON API responses for frontend consumption. Covers normalization, flattening, filtering, and type safety with real examples.