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JSON-LD — Howto Step SAMPLE

schema.org JSON-LD SAMPLE (howto-step) for SEO/structured-data validators.

Preview — first 16 linesjson
{
  "@context": "https://schema.org",
  "@type": "HowTo",
  "name": "Download a SAMPLE file",
  "step": [
    {
      "@type": "HowToStep",
      "text": "Open the file page."
    },
    {
      "@type": "HowToStep",
      "text": "Click Download."
    }
  ]
}

Specifications

Wave
I
Role
json-ld
Vocab
schema.org

What is a .json file?

JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.

How to use this file

Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.

How to use this file for testing

“JSON-LD — Howto Step SAMPLE” is a deterministic Novus Examples fixture for Web assets, JSON parsing, Schema / OpenAPI testing. Favicons, web app manifests, service workers, robots and sitemap files, Open Graph images, and .well-known resources — for testing web tooling, crawlers, PWA installers, and asset pipelines.

Documented properties for this file: json-ld. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.

Web-platform fixtures are standards-compliant samples against fictional example.com data. Test crawlers, PWA installers and manifest validators, favicon/icon pipelines, service-worker registration, or .well-known parsers against the documented structure.

Code examples

import json

with open("jsonld-howto-step.json") as f:
    data = json.load(f)
print(type(data), len(data))

Generated by generation/pad_wave_i.py. Free for any use, no attribution required — license.