GTFS is a zipped collection of CSV files with a specific schema. SleekRank reads CSV directly, so you can either point at stops.txt and routes.txt with separate sources and join them at template render time, or convert GTFS to a flat JSON with one row per station including pre-joined arrays. The flat JSON approach is simpler and works better for smaller agencies; bigger agencies usually have an internal joining step regardless.

Store them as an array column on the station row and use a list mapping to render them as repeated items on each station page. NYC Subway stations often have eight or more exits with corner descriptions like 'NW corner of 14th St and Union Square West', which list mappings handle cleanly. For interactive exit maps, embed a separate widget that reads exit coordinates from the same source.

Yes. Add a status column with values like open, closed, partial, and weekend-only, then either filter the source or use selector mappings to swap copy when a station is closed. For long-term construction closures like the NYC Subway's South Ferry rebuild years ago, the page can stay live with closure copy and reopening estimates rather than disappearing entirely. Inbound links and SEO equity preserve.

SleekRank renders cached source data, so it's not a real-time data layer. Use a separate widget on the base page for live arrivals through your existing GTFS-RT or agency API. The widget loads on the rendered SleekRank page using its own JavaScript and updates independently. Most riders looking up a station also want a real-time peek, so pairing the two is a common pattern.

Yes. The same approach works for any transit stop: each row becomes a page through a base template. Bus stops are higher volume than rail stations, often into the thousands per agency, but SleekRank's caching handles that scale without issue. The information density per bus stop is lower, so editorial concerns about thin content matter more here than at rail stations with rich line and connection data.

Yes. Build separate page groups for lines at /lines/{slug}/, fed by line-level data and listing every station the line serves. Cross-link between line and station pages so riders can navigate from a station to its lines and back. The same source can drive both: the GTFS routes file becomes the line dataset, and the joined stops-routes data becomes the station dataset.

Some stations connect multiple transit systems, like NYC's Penn Station spanning the LIRR, NJT, Amtrak, and the Subway. Model these as a single row with a systems array column or as separate rows per system that share a common parent station. The first approach gives one URL for all systems; the second gives system-specific URLs that link to a parent. Pick based on how riders actually search.

Yes. Add a nearby-attractions array per station and use a list mapping to render the top five points of interest. For tourism-facing sites, this is often the most important content on the page, since riders are choosing stations based on what's nearby. The attractions list can come from the same maintained source as the rest of the station data, or from a separate venues sheet joined by station ID.