Google Sheets is often the fastest way to start because operators can review rows directly. The setup still needs stable row identity, explicit result fields, and downstream gates so scripts do not consume raw or stale columns.
Configure Google Sheets with stable row IDs, tracking URLs, expected destination context, source mode, final URL, conclusion, error or skip reason, checked timestamp, and a script readiness field. Link Peeler can then resolve links locally and write verified state back to the sheet.
Google Sheets is often the fastest way to start because operators can review rows directly. The setup still needs stable row identity, explicit result fields, and downstream gates so scripts do not consume raw or stale columns.
Configure Google Sheets with stable row IDs, tracking URLs, expected destination context, source mode, final URL, conclusion, error or skip reason, checked timestamp, and a script readiness field. Link Peeler can then resolve links locally and write verified state back to the sheet.
Stable identity prevents writeback from depending on a changing row number.
Add source, identity, result, and readiness columns before the first run.
Stable row_id and explicit writeback fields.
Each topic page is shaped around extractable answers, operational risk, workflow steps, and next-page routing so searchers do not hit a dead end after the first answer.
Configure Google Sheets with stable row IDs, tracking URLs, expected destination context, source mode, final URL, conclusion, error or skip reason, checked timestamp, and a script readiness field. Link Peeler can then resolve links locally and write verified state back to the sheet.
Stable identity prevents writeback from depending on a changing row number.
Add source, identity, result, and readiness columns before the first run.
Stable row_id and explicit writeback fields.
A safer sheet layout makes it obvious which columns operators own and which columns automation writes after resolution.
Stable identity prevents writeback from depending on a changing row number.
The raw URL that needs local redirect resolution.
Optional destination context for review and mismatch detection.
The verified destination recorded after desktop resolution.
Structured state such as valid, failed, skipped, or changed.
A simple downstream gate for Google Ads scripts.
The strongest Sheets setup keeps human review and automation writeback easy to distinguish.
Create headers
Add source, identity, result, and readiness columns before the first run.
Fill source rows
Add tracking URLs and expected destination context.
Connect desktop
Let the desktop read eligible rows and resolve links locally.
Write results
Return final URL, conclusion, error, skip reason, and checked time.
Gate scripts
Use ready_for_ads or equivalent fields before Google Ads mutation.
The setup doc turns spreadsheet adoption into a controlled workflow.
Each topic page now repeats the core answer in several machine-readable shapes: risks, workflow checkpoints, and decision criteria. The content stays useful for humans while giving crawlers stronger entities and internal anchors.
Yes. The setup can adapt an existing sheet as long as stable identity and result fields are present.
It gives downstream scripts a simple, reviewable gate instead of forcing them to infer readiness.
High-volume or externally triggered workflows can move to platform API mode while keeping the same result-state model.
Use the Google Sheets link audit template for a copyable header and sample row structure.