Dependency inventory before an Airtable exit
Airtable migrations fail on the things nobody listed: a form a partner fills in weekly, a Zap that emails a PDF, a view someone's dashboard reads. Inventory first, schema second.
This is a generalised method, not a client case study. No client names, schemas, data, or outcomes are published here, and no results are claimed on a client's behalf.
What is airtable dependency inventory before a migration?
Airtable migrations fail on the things nobody listed: a form a partner fills in weekly, a Zap that emails a PDF, a view someone's dashboard reads. Inventory first, schema second.
Method
- Pull base schema through the Airtable metadata API: tables, fields, field types, and linked-record relations.
- List every automation and script action in the base, with its trigger and its side effects.
- List external consumers: Zapier and Make scenarios, webhooks, embedded views, forms, interface pages, and API keys in use.
- List human processes: who opens which view, and what they do next.
- Score each dependency by blast radius and by whether a like-for-like replacement exists.
| dependency | type | trigger | consumer | replacement | blast radius |
|-------------------|------------|----------------|---------------|------------------|--------------|
| Weekly PDF email | automation | scheduled Mon | finance team | pg_cron + worker | medium |
| Partner intake | form | public link | external | hosted form | high |
| Ops board | view | manual | ops team | app view | low |Failure modes
- Counting tables and calling it an inventory.
- Missing personal API keys held by individuals rather than the workspace.
- Forgetting interface pages, which are consumers as much as views are.
How it is verified
- Freeze the base for one business day and confirm nothing unexpected breaks.
- Reconcile the inventory against the workspace audit log for the last ninety days.
Questions this pattern answers
What is airtable dependency inventory before a migration?
Airtable migrations fail on the things nobody listed: a form a partner fills in weekly, a Zap that emails a PDF, a view someone's dashboard reads. Inventory first, schema second.
How do you implement dependency inventory before an Airtable exit?
Pull base schema through the Airtable metadata API: tables, fields, field types, and linked-record relations. List every automation and script action in the base, with its trigger and its side effects. List external consumers: Zapier and Make scenarios, webhooks, embedded views, forms, interface pages, and API keys in use. List human processes: who opens which view, and what they do next. Score each dependency by blast radius and by whether a like-for-like replacement exists.
How is dependency inventory before an Airtable exit verified?
Freeze the base for one business day and confirm nothing unexpected breaks. Reconcile the inventory against the workspace audit log for the last ninety days.
What usually goes wrong with dependency inventory before an Airtable exit?
Counting tables and calling it an inventory. Missing personal API keys held by individuals rather than the workspace. Forgetting interface pages, which are consumers as much as views are.
Related patterns
Projects in this track
This page documents the method. Engagement scope and pricing live on TechTide AI.
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