If you searched for "auto post to Instagram" specifically, the general auto-posting overview is the wrong altitude — you want the exact chain of nodes that gets a post from a data source onto your feed with nobody opening a design tool in between. This is that chain, Instagram-specific, no detours into platforms it doesn't reach.
The five nodes, in order
Trigger — manual while you're testing, a timer once you trust the output. See Trigger timing for picking an interval that doesn't fire more often than your data actually changes.
HTTP Request (or Custom Agent) — this is where the post's content comes from. An HTTP Request node reaches any API directly; a Custom Agent node can research a topic and hand back structured fields instead of you specifying an exact endpoint. Either way, this step is what makes each run produce something new.
Code node (optional) — reshapes whatever the source returned into the exact fields your template expects. Skip it if the source's output already lines up.
Apply Template — binds the resulting text (and chart/table elements, if the template has one — see binding charts and tables into posts) into a saved, brand-kitted carousel or reel design.
Post — publishes the result to the connected Instagram account, with caption and timing set in the panel.
Why "Instagram-specific" matters here
A lot of general automation advice quietly assumes you can point the same finished post at four platforms and be done. The Post node doesn't work that way — it's a one-account-type integration, not a broadcast step. If your actual goal is "get this onto Instagram automatically," this five-node chain is the complete, real path. If your goal is "get this onto Instagram and TikTok and LinkedIn automatically," that's a different, more manual setup — see what's actually possible on other platforms before you assume the same chain covers all of them.
The one step people skip and regret
Running the Trigger on manual for the first several runs and actually looking at the drafted slides before switching to a timer isn't optional caution — it's the only review checkpoint that exists. There's no separate approval step in the canvas; manual trigger + eyeballing the output is the review process. See reviewing auto-posted content before it goes live for what to actually check in those first runs.
Once it's running
The chain doesn't change as volume grows — a workflow posting once a week and one posting daily are the same five nodes with a different Trigger interval. What's worth revisiting periodically is the data source itself: if the HTTP Request node's endpoint changes shape or the Custom Agent's prompt starts drifting, that shows up as odd output long before it shows up as an error — see debugging a failed automation run for what to check first.