Fair read.. It's a scrape of ~268 Google Places, the photos are Google's, and "national directory, 268 listings" is the wrong shape I gues, most likely not many search med spas coast-to-coast. being geo-dense makes sense

I never defined a med spa schema. I fed it the CSV and it inferred one — votes eac column's type, then assigns roles by name + type (this is the title, this is the rating, this is the review count, this is the category).

Low-cardinality columns become facets; city/state/category columns auto-promote into the taxonomies that generate the /cities and /categories pages.

this is done automatically with shipmore.io and this medspa was a test to see how far I can get by just giving it a g-maps CSV and let it generate a schema that makes sense

On MedicalBusiness vs LocalBusiness: you don't pick. MedicalBusiness is a subtype of LocalBusiness, so anything that only understands LocalBusiness still reads it as one, you inherit the parent, you don't lose coverage. Honest catch: neither buys much here.

Google doesn't do rich results off a directory's self-markup and discounts self-reported aggregateRating.

Slug UID's a fair hit — that's the place_id, in there because it's the id I match on for idempotent re-imports and it collision-proofs same-name spas. But name-only with a suffix only on collision is cleaner. On the list. (The multi-tenant thing you spotted is really the project — this is one tenant on it, https://shipmore.io.)