Yes. Add a Movie JSON-LD template on the base page with placeholders for name, datePublished, director, actor, duration, and genre, and use selector mappings to swap in per-row fields. SleekRank handles the data swap; the schema markup itself lives on your page. Every generated URL emits identical schema, which Google's Rich Results Test will validate against the Movie type.

Store the cast array as JSON on each row, with each member as an object containing name and role. The list mapping renders each cast member into a list item on the base page. For longer crew sections like producers and cinematographers, use additional JSON arrays and separate list mappings into separate sections of the template.

Yes. Map a poster URL column into an img tag via selector mapping and into the og:image meta mapping for social sharing. SleekRank does not host or generate images. Keep posters on a CDN you control. For dynamic per-film OG images with title overlay, pair with SleekPixel which renders OG images from data.

Only if you remove them from the source. SleekRank renders whatever is in the data; the sitemap follows the active rows. For an editorial site that wants to keep older entries, leave them in. For a streaming catalog tracking what is currently available, add an availability column and filter the page group, which will drop unavailable titles from rendering and from the sitemap.

No. The base page is a normal WordPress page in your existing theme or builder. SleekRank only swaps content into it via mappings, so whatever Gutenberg blocks, Bricks layouts, or Elementor sections you already use stay in place. The placeholder structure you build once on the base page is what every generated film page renders.

Yes. Add a director column and create a director-keyed page group for /movies/director/{slug}/ from the same dataset. The page group filters and sorts the source by director, so each director's filmography renders on their own URL. Add a directors side table with bios if you want richer director pages joined by slug.

Add columns for opening_weekend, total_gross, rating, and runtime, then map them via tag mapping into stat blocks on the base template. The dataset stays the source, and per-film pages stay in sync. For year and genre roll-ups, you can sort the rendered list by gross or rating to surface top performers per cut.

Yes. Add columns for which streaming platforms a film is on, then create per-platform page groups at /movies/streaming/{slug}/. The same source feeds title pages, year pages, and platform pages, so a film moving from Netflix to HBO updates everywhere on the next cache cycle without per-page editing.