If your booking system exposes a JSON or REST endpoint with availability counts, yes. SleekRank reads from json_url or rest_api sources with a configurable cache, so day pass availability or open hours can be fed in with a short cache duration to keep the page close to live without polling continuously.

Create two page groups against the same data source. One uses the slug column for /coworking/{slug}/ pages, the other groups by neighborhood for /coworking/neighborhood/{slug}/ pages with a list mapping pointing back to the matching rows. Both update from one sheet, so a price change propagates everywhere on the next cache refresh.

Update the cell in the sheet, then either wait for the cache to expire or flush it manually from the SleekRank admin. The next request rebuilds the page with the new amenity in the list. No editor visit, no content review, no risk of forgetting one of the affected pages.

Yes. SleekRank uses an existing WordPress page as its template, so whatever you built in Bricks, Elementor, GenerateBlocks, Oxygen, or core blocks is preserved. Mappings target HTML tags or CSS selectors inside the rendered output, not theme files, so the builder stays untouched.

SleekRank writes every generated URL into the WordPress sitemap automatically and noindexes the base template page so it does not compete with the per-space pages. The sitemap regenerates on cache refresh, so new spaces enter the index on Google's next crawl after the source updates.

Put image URLs in a sheet column and map them into an img tag via the selector mapping. SleekRank does not host or generate images, but it swaps them in per row. For galleries, use a list mapping against a comma-separated photo URL column or a separate photos sheet keyed by space slug.

Add tier columns to the same row, or maintain a separate tiers sheet keyed by space slug. A list mapping renders the tiers on the page with each price and tier name, and selector mappings inject the matching booking URL per tier so visitors land on the right checkout.

Yes. Add a category or tag column with values like phone-booths, parking, or 24-7-access, and create page groups filtered on that column. /coworking/with-parking/ becomes its own indexable page rendering the matching spaces, no separate dataset required.