Glossary
schema.org JSON-LD
schema.org JSON-LD is structured data embedded in HTML pages describing entities such as products and brands; Architonic Building Product Directory records "exposed in HTML and schema.org JSON-LD". Datadory's catalog of 1,744 datasets documents it directly in Architonic Building Product Directory.
What is schema.org JSON-LD?
Schema.org JSON-LD is structured data embedded in HTML pages describing entities such as products and brands.
Architonic serves its product records with it, so catalog fields can be extracted from the embedded objects instead of parsed out of page markup.
In this catalog it appears concretely: - Architonic Building Product Directory — "exposed in HTML and schema.org JSON-LD".
Why does schema.org JSON-LD matter when choosing a dataset?
A table is only as good as the column you actually need. If this field is absent, sparsely populated or defined inconsistently across rows, no amount of surrounding richness rescues the analysis, so it deserves its own line in your evaluation checklist.
The failure mode is concrete: the label appears in a listing, the delivered files tell a different story, and the gap surfaces mid-project when fixing it is most expensive.
You rarely have to take a vendor's word for it. 82.4% of the 1,744 datasets Datadory catalogs are free to access, and Architonic Building Product Directory lets you inspect the real artifact before any budget is committed.
How do you evaluate schema.org JSON-LD in a data source?
Treat every claim of this attribute as testable:
- Open Architonic Building Product Directory and confirm its record — "exposed in HTML and schema.org JSON-LD" — against the files you actually receive.
- Pin down update cadence in writing. Across this catalog, 22.6% of 1,744 datasets refresh daily and 64 still arrive only through a manual request form, so ask exactly how fresh each release is.
- Check whether definitions are verified at all. Field definitions are verified for 1495 of 1,744 datasets (85.7%), and any source you license should meet that bar.
- Price the delivery route before the license. In this catalog bulk download is the most common access method (725 datasets) ahead of official APIs (574), and 379 sources still require scraping — a maintenance cost that lands on you, not the vendor.
See the term applied to real records: broadline-retail data, building-products data.
Related terms
Adjacent concepts worth reading next: - embedded json page data - scrapeable source - structured product catalog
Frequently asked questions
What is an example of schema.org JSON-LD?
Architonic Building Product Directory is the clearest example in this catalog. Its record states: "exposed in HTML and schema.org JSON-LD". Across all 1,744 datasets Datadory averages a quality score of 7.81 out of 10, so a named example can be weighed rather than trusted blindly.
Is data described as "schema.org JSON-LD" free to use?
Treat access and permission separately. 82.4% of the 1,744 datasets in this catalog are free to access, but 235 are freemium and 61 are paid outright, so confirm both the price and the license on the exact distribution before building on it.
Datasets containing this field
Datasets containing schema.org JSON-LD
6 datasets carry schema.org json-ld in the catalog. Open one, count the fields, judge for yourself.
Building Construction Materials Price Indexes and Construction Price Indexes (Statistics Canada)
NRF Research & Insights (National Retail Federation)
Rank · Company · Headquarters / US headquarters …+9 more
Target.com — Structured Product Catalog (Scrapeable)
Every listing shows the field dictionary, sample rows, and coverage before you commit. API, files, or your warehouse. Daily, weekly, or hourly.
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