Appointlet + PostgreSQL Integration

Connect Appointlet to PostgreSQL in 1 click

Integrate Appointlet + PostgreSQL For Free ✔ Free forever. ✔ Use premium features free for 14 days.

Popular Appointlet + PostgreSQL Workflows

Create PostgreSQL row for new Appointlet event

It's important to keep track of your bookings, and creating a spreadsheet can help you do just that. Automatically creating a new row in PostgreSQL for every new Appointlet event created will help you keep track of the details of each event, including the date, time, and number of guests.

Also all the relevant data will be stored in one place and can be easily accessed by anyone who needs it. This makes it easier to generate reports on events and their associated data. In short, using this Appointlet - PostgreSQL integration will save time and hassle down the line, so it is well worth doing. So go ahead and get started today!

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When Booking is canceled in Appointlet > Search row(Custom Query) in PostgreSQL > Check any condition > Update row in PostgreSQL

Appointlet + PostgreSQL Integration

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Create Your Own Appointlet & PostgreSQL Integration Without Any Code

Create Custom Workflow

Booking is received in Appointlet Instant
Booking is canceled in Appointlet Instant
Booking is confirmed in Appointlet Instant
Reminder is received in Appointlet Instant
Row is created in PostgreSQL
Row is created or updated in PostgreSQL
Row is created (Custom Query) in PostgreSQL
Table is created in PostgreSQL
Column is created in PostgreSQL

Create row in PostgreSQL
Search row(Custom Query) in PostgreSQL
Update row in PostgreSQL
Search row in PostgreSQL

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You Can Also Connect Appointlet or PostgreSQL With 1200+ Other Apps

Appointlet is a simple and easy-to-use appointment scheduling Google Calendar plugin, that displays availability right on your website, allowing your customers to schedule appointments with you in just a few clicks.

See Appointlet Integrations

PostgreSQL is a robust and feature-rich open-source database management system. Its advanced data management capabilities, powerful SQL engine, and robust security features can handle even the most demanding workloads.

See PostgreSQL Integrations