schema.org/Dataset JSON-LD

Kaggle dataset pages embed schema.org/Dataset JSON-LD in the initial HTML containing name, description, keywords, creator, distribution (content size, encoding format), dateModified, license and interaction statistics.

This makes bulk harvesting of catalog metadata feasible without rendering JavaScript, since the listing page itself is largely client-rendered.

In this catalog it appears concretely: - JSON-LD metadata fields (name, description, license, distribution.contentSize, dateModified, creator, keywords, interactionStatistic) in Kaggle Datasets Hub - Furniture Search.

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 JSON-LD metadata fields (name, description, license, distribution.contentSize, dateModified, creator, keywords, interactionStatistic) in Kaggle Datasets Hub - Furniture Search lets you inspect the real artifact before any budget is committed.

Treat every claim of this attribute as testable:

1. Open JSON-LD metadata fields (name, description, license, distribution.contentSize, dateModified, creator, keywords, interactionStatistic) in Kaggle Datasets Hub - Furniture Search and compare its listing against the delivered artifact before paying for a commercial equivalent.
2. 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.
3. 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.
4. 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: home-furnishings data, homefurnishing-retail data.

Adjacent concepts worth reading next: - Kaggle API token access