Recipe · E-commerce

Store account audit

Reads the Store accounts table and marks every row that is still missing a label, a sign-in address, a region or a profile of its own. Opens no page and signs into nothing — the practice itself is in the runbooks.

On this page

What it does

Flags account rows that are missing a label, an address, a region or a profile of their own. Opens no page.

It runs against one profile, through that profile's own proxy and with its own cookies — so the pages load the way that account's owner would see them. It opens no page at all, which means it can be run against a profile whose session you would rather not disturb.

One profileOpens no pageThe Store accounts table

The 4 steps

The real tree, read out of the pack the launcher ships. Indentation is nesting: the steps under a loop run once per row, and the ones under a branch run only when the condition above them holds. Every {{…}} is a value filled in at run time — from the row being walked, from a setting on the run, or from the profile itself.

loadRowsLoad every store accountLoad Store accounts into rows
loopEach accountLoop forEach

Each time

evaluateIs this row complete?Run script
saveRowsMark the rowSave to Store accountson failure: continue

Each of those is one of the step types on the automation reference, with the same fields the editor shows and the same fields an agent is handed over the local API.

The tables it uses

These load with the recipe. A dataset is a typed table your workspace owns — the columns are named and typed up front so the steps can address them, and every one of them is yours to rename, extend or fill from a file afterwards.

Store accounts

readswrites

One row per seller or store account: which profile holds it, which market it is registered in, and whether its session is still good.

label
Label · text
url
URL · url
marketplace
Marketplace · select · Marketplace | Own store | Wholesale portal | Other
region
Region · text
profile
Profile · profile
status
Status · select · Unchecked | Signed in | Signed out | Needs attention | Unknown page | Incomplete | Retired
checked_at
Checked at · datetime
notes
Notes · longText

Re-running updates the row it already wrote rather than adding a second one. That is what the match column in the save step is for, and it is the difference between a status check and a table that doubles in size every pass.

Loading it

In the launcher, open Automations, choose Load a starter pack, and pick E-commerce. Untick anything you do not want. The tables land first, then the workflows, then a project called E-commerce Ops that links them together.

What arrives is an ordinary automation row. Open it in the editor, change a step, rename it, delete it — nothing in the app treats it as special afterwards, and loading the pack a second time makes a fresh copy rather than overwriting the one you edited. Tables are the opposite: an existing table of the same name is reused and keeps its rows.