Yes. SleekRank already powers directories with thousands of rows. As long as the feed returns the projects as JSON, CSV, or via REST, every row gets a URL on the configured cacheDuration. Hundreds of projects across a matching network impose no extra load because the base page is the same across all generated URLs.

They appear as quickly as cacheDuration allows. Set the cache low for active intake, often fifteen to sixty minutes, and clear the SleekRank cache manually for instant publication after a new project is approved. Pages reflect the feed value on the next request after cache expiry.

Yes. SleekRank renders into a base WordPress page built with Gutenberg, Bricks, Elementor, or any builder. The base page holds the layout, the data fills in title, cause, skill, time, and status slots through tag, selector, list, and meta mappings.

Use a status column with open and filled values. The base page reads the status through a selector mapping and renders a filled badge with the apply button hidden, or you can drop filled projects from the feed entirely so their URLs return 404 and exit the sitemap on the next cache cycle.

Yes. Run multiple page groups, each with its own base page and urlPattern filter. Climate projects route through one base page styled for technical engagements while legal pro bono projects route through another with case-context blocks. Both groups read the same feed filtered at the data source level.

When a row drops from the feed, the URL returns 404 on the next cache refresh and exits the sitemap automatically. If you need to preserve accumulated backlinks for completed projects, set up a redirect to a case study archive in WordPress before removing the row.

Each generated page is unique by data: different project title, cause, skill, partner, and time estimate. Use per-row metaDescription, lead paragraph, and pageTitleHtml fields to add variety beyond the boilerplate copy, which keeps duplicate detection at bay across a network of three hundred concurrent projects.

Yes. Each partner submits projects via a shared sheet or their own JSON feed, and SleekRank can pull from multiple data sources into the same page group or run separate groups per partner. Brokerages typically run one master feed exported from their CRM nightly, with partner-specific JSON files merged in by a small middleware script.