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Find empty tables and unused columns in Airtable

A base collects tables and columns faster than anyone removes them. This task runs the value checks over two bundled sample bases, reading a sample of records from each table: tables holding no records at all, columns empty in every sampled record, links into a table that can never resolve, text columns whose every value is a date or an email address, and records sharing a primary-field value.

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Airtable Base Schema Auditor & Link Checker
Airtable Base Schema Auditor & Link Checkermediocre_interest/airtable-schema-auditor
Severity
Rule
Pack
Base
+12 fields
Text
Number
Boolean
List
Object

Input

Bases to audit
Rule packs:values
Sample records:false
Records sampled per table:100

Output fields

Severity
Rule
Pack
Base
Table
Field
Field type
Finding
Evidence
What to do
Confidence
Source
Audited
Base ID
Table ID
Field ID

How it works

Sign up on Apify or log in

The Airtable Base Schema Auditor & Link Checker Actor is ready to run with the inputs already set for "Find empty tables and unused columns in Airtable". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Find empty tables and unused columns in Airtable" task

The Airtable Base Schema Auditor & Link Checker Actor will start running based on the input automatically. You can also change all the input fields, like bases to audit, rule packs, and more, to match your specific use case.

Receive the "Find empty tables and unused columns in Airtable" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as severity, rule, pack, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Find empty tables and unused columns in Airtable" task via API.

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