JSON-LD
JSON-LD embeds linked data in JSON using an @context document that maps keys to IRIs from shared vocabularies. Search engines and integrators consume JSON-LD for rich snippets, while APIs can reuse the same context to align field meanings across services without bespoke field dictionaries in every response.
Technical Architecture & Deep-Dive
A Product object might declare @context pointing to schema.org and use schema.org/name for titles. Clients that understand the context resolve aliases consistently even when local keys differ.
Public SEO pages inject compact JSON-LD scripts in HTML, but headless APIs may attach context blocks to canonical JSON resources. Edge transformers can strip marketing-only JSON-LD from API payloads meant for mobile while preserving slim business fields clients actually render.
Key Architectural Benefits
Minimal JSON-LD
{
"@context": "https://schema.org",
"@type": "Product",
"name": "Edge plan",
"sku": "edge-pro"
}Implement JSON-LD at the Edge
Deploy lightweight API aggregation, edge caching, and secret injection in minutes without Docker containers or complex servers.
Frequently Asked Questions
Q:Is JSON-LD only for HTML script tags?
HTML embedding is common for SEO, but JSON-LD is valid in API responses when clients understand linked data contexts.
Related Architecture Concepts
JSON Schema is a declarative vocabulary for describing the structure of JSON data. A schema defines expected properties, data types, required fields, and value constraints, allowing tools to validate payloads, generate documentation, and produce typed client code automatically.
Response normalization is transforming API responses from different sources into a single consistent structure. It standardizes field names, date formats, data types, and missing value handling so client code can rely on one predictable shape regardless of the upstream provider.
The OpenAPI Specification is a standard, machine-readable format for describing HTTP APIs in YAML or JSON. It documents every endpoint, HTTP method, parameter, request body, response schema, and authentication scheme, enabling interactive docs, client generation, and automated testing.