Most major US cities publish inspection data through their open-data portals. NYC publishes through opendata.cityofnewyork.us. Chicago publishes through data.cityofchicago.org. Los Angeles and San Francisco have their own portals. Most SleekRank setups federate data from multiple cities to cover a region, normalizing schema differences across the various department conventions.

Refresh cadence varies. NYC and Chicago push daily updates. San Francisco refreshes weekly. Smaller cities often refresh monthly or quarterly. Most SleekRank setups configure a 30-day cache for the per-restaurant page while running a daily import on the bulk feed so new inspections flow into the corpus within one cache cycle of the city drop.

Use restaurant-name plus a disambiguating address fragment plus city, like joes-pizza-7-carmine-st-nyc. Restaurant names collide constantly (every city has multiple Joe's Pizza locations). The address segment plus city keeps slugs unique. Some setups append a stable establishment ID from the feed when the name-address combination is still ambiguous.

Each location is a separate row in the city feed with its own establishment ID. Create one page per location rather than merging by chain name. Then add a parent chain page that lists all locations via a related entries mapping. Diners search for a specific location, not the chain, so the per-location URL is what ranks for natural search demand.

Most cities expose the raw inspection record as JSON in the feed, which is what most users want anyway (date, score, violations). Some cities also link to a PDF of the actual inspection sheet. Render the structured data inline and link to the PDF as a secondary asset rather than embedding the PDF, which loads slowly and hurts mobile performance.

Yelp and Google show inspection grades when available but only as a small badge on the listing card, not as a dedicated page with history and violations. SleekRank gives the operator a full-page treatment per restaurant, which ranks for the long-tail restaurant-name plus inspection queries that Yelp and Google do not target as primary search intent.

Most cities license food trucks separately and inspect them on a different schedule. Some open-data portals include them in the main inspection feed; others publish a separate food-truck feed. Run two page groups (restaurants and food trucks) with separate URL patterns, and cross-link them by neighborhood so diners see the full mobile-and-fixed dining cluster in one search.

SleekRank stores each resolved row in wp_sleek_rank_items at roughly 5-15 KB per restaurant depending on inspection-history depth. Six hundred thousand rows is a 3-9 GB MySQL footprint, manageable on a standard production server. Most teams start with a single city and expand outward as the corpus proves out organic equity gains across the regional rollout.