Recipe · Places
Google Maps place details
Opens each place this profile collected into Places and fills in the phone number, website and full postal address that a results card does not carry. One page load per place, so it is a deliberate second pass rather than part of the search — collect first, then enrich the rows worth reaching. Signed out.
What it does
Opens each place already in Places and fills in the phone number, website and full address a results card does not carry. One page load per place, so run it on the rows worth reaching rather than on everything.
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 navigates, so give it a profile whose session you are happy to have in use.
The 9 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 this profile's placesLoad Places into rowsevaluateStamp the passRun scriptloopEach placeLoop forEachEach time
setVarClear the last placeSet detailsgotoOpen the listingGo to {{loop.item.place_url}}on failure: continuewaitWaitevaluateRead the detailsRun scripton failure: continuesaveRowsFill the row inSave to Placeson failure: continuewaitWaitEach 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.
Places
readswritesBusinesses and locations as a listings page drew them: name, category, address, rating and a link back, keyed so a second run updates rather than duplicates.
- row_key
- Key · text
- name
- Name · text
- category
- Category · text
- address
- Address · text
- rating
- Rating · number
- reviews
- Reviews · number
- place_url
- Listing · url
- phone
- Phone · phone
- website
- Website · url
- details_at
- Checked · datetime
- source_url
- Found on · url
- platform
- Platform · text
- collected_at
- Collected at · datetime
- profile
- Collected by · profile
- logged_in
- Signed in · select · Signed out | Signed in
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 Places. Untick anything you do not want. The tables land first, then the workflows, then a project called Local search 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.
The rest of the places pack
They load together, share the tables above, and land in one Local search project.