Best Practices · 8 min read

Following JSON best practices prevents bugs, improves maintainability, and ensures your data is production-ready. These guidelines are used by teams at companies building APIs consumed by millions of users.

Formatting Standards

• Use 2-space indentation consistently across your project
• Beautify during development; minify for production
• Validate JSON before every commit and deployment
• Keep one top-level object or array per file
• Use trailing newlines at end of JSON files

Naming Conventions

• camelCase: Standard for JavaScript APIs — firstName, isActive
• snake_case: Common in Python/Ruby APIs — first_name, is_active
• kebab-case: Rare in JSON keys but used in some configs
• Pick one convention and stick to it across your entire API
• Use descriptive key names — userEmail not ue

Errors to Avoid

• Trailing commas after last items in objects/arrays
• Mixing data types for the same key across records
• Using strings for numbers (or vice versa) inconsistently
• Deeply nested structures (keep under 5-6 levels when possible)
• Storing large binary data as base64 strings in JSON
• Including sensitive data (passwords, tokens) in JSON logs

Security Considerations

• Always validate JSON from untrusted sources before processing
• Limit accepted JSON payload size to prevent memory exhaustion
• Be cautious with deeply nested JSON (potential stack overflow)
• Sanitize string values before rendering in HTML (XSS prevention)
• Use HTTPS for all JSON API transmissions
• Never log full JSON payloads containing PII in production

Performance Tips

• Minify JSON for API responses in production
• Enable gzip/brotli compression at the server level
• Remove unnecessary fields before transmission
• Use pagination for large JSON arrays instead of sending everything
• Consider shorter key names only in high-throughput internal APIs

Development Workflow

1. Write or receive JSON data
2. Validate syntax with our JSON viewer
3. Beautify for readability during review
4. Test with JSON Schema if structural validation is needed
5. Minify before deploying to production