Connect Expensify and SQL Server to Build Intelligent Automations

Choose a Trigger

Expensify

When this happens...

Choose an Action

SQL Server

Automatically do this!

Enable Integrations or automations with these events of Expensify and SQL Server

Enable Integrations or automations with these events of Expensify and SQL Server

Actions

Create Report

Create Report

Create a new expense report for an employee.

Get Policy Details

Get Policy Details

Retrieve tax, categories, tags, report fields, and employee info for one or more policies.

Execute a query

Execute a query

Execute any query on SQL Server Database

Insert a row

Insert a row

Insert a row in SQL Server Database

Update row

Update row

Update row in SQL Server Database Table

Find row via custom query

Find row via custom query

Find a row via query in SQL Server Database table

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Frequently Asked Questions

How do I start an integration between Expensify and SQL Server?

To start, connect both your Expensify and SQL Server accounts to viaSocket. Once connected, you can set up a workflow where an event in Expensify triggers actions in SQL Server (or vice versa).

Can we customize how data from Expensify is recorded in SQL Server?

Absolutely. You can customize how Expensify data is recorded in SQL Server. This includes choosing which data fields go into which fields of SQL Server, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Expensify and SQL Server?

The data sync between Expensify and SQL Server typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Expensify to SQL Server?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Expensify and SQL Server?

Yes, you can set conditional logic to control the flow of data between Expensify and SQL Server. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.