How to connect Acuity Scheduling and PostgreSQL
Create a New Scenario to Connect Acuity Scheduling and PostgreSQL
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Acuity Scheduling, triggered by another scenario, or executed manually (for testing purposes). In most cases, Acuity Scheduling or PostgreSQL will be your first step. To do this, click "Choose an app," find Acuity Scheduling or PostgreSQL, and select the appropriate trigger to start the scenario.

Add the Acuity Scheduling Node
Select the Acuity Scheduling node from the app selection panel on the right.


Acuity Scheduling

Configure the Acuity Scheduling
Click on the Acuity Scheduling node to configure it. You can modify the Acuity Scheduling URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the PostgreSQL Node
Next, click the plus (+) icon on the Acuity Scheduling node, select PostgreSQL from the list of available apps, and choose the action you need from the list of nodes within PostgreSQL.


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PostgreSQL


Authenticate PostgreSQL
Now, click the PostgreSQL node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your PostgreSQL settings. Authentication allows you to use PostgreSQL through Latenode.
Configure the Acuity Scheduling and PostgreSQL Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Acuity Scheduling and PostgreSQL Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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AI Anthropic Claude 3
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PostgreSQL
Trigger on Webhook
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Acuity Scheduling
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Iterator
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Webhook response


Save and Activate the Scenario
After configuring Acuity Scheduling, PostgreSQL, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Acuity Scheduling and PostgreSQL integration works as expected. Depending on your setup, data should flow between Acuity Scheduling and PostgreSQL (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Acuity Scheduling and PostgreSQL
Acuity Scheduling + PostgreSQL + Slack: When a new appointment is scheduled in Acuity Scheduling, the customer's information is added as a new row to a PostgreSQL database. A notification is then sent to a Slack channel to alert the team of the new booking.
PostgreSQL + Acuity Scheduling + Google Sheets: When a row is updated in a PostgreSQL database (likely after an Acuity Scheduling change), the appointment information is retrieved from Acuity Scheduling and a new row is added to a Google Sheet to track scheduled appointments.
Acuity Scheduling and PostgreSQL integration alternatives

About Acuity Scheduling
Automate appointment scheduling with Acuity inside Latenode. Sync appointments to calendars, send reminders, and update CRMs automatically. Ditch manual data entry and build custom workflows using Latenode’s visual editor and API-first design. Scale your scheduling processes without code or per-step pricing limits.
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About PostgreSQL
Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.
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FAQ Acuity Scheduling and PostgreSQL
How can I connect my Acuity Scheduling account to PostgreSQL using Latenode?
To connect your Acuity Scheduling account to PostgreSQL on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Acuity Scheduling and click on "Connect".
- Authenticate your Acuity Scheduling and PostgreSQL accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I back up Acuity Scheduling appointments to PostgreSQL?
Yes, you can! Latenode lets you automatically back up Acuity Scheduling appointments to PostgreSQL. This ensures data security and allows advanced reporting using SQL, with no coding needed.
What types of tasks can I perform by integrating Acuity Scheduling with PostgreSQL?
Integrating Acuity Scheduling with PostgreSQL allows you to perform various tasks, including:
- Sync new Acuity Scheduling appointments to a PostgreSQL database.
- Update client data in PostgreSQL when appointments are rescheduled.
- Trigger automated reports based on appointment data in PostgreSQL.
- Analyze appointment trends using custom SQL queries.
- Create customer segments using appointment history from PostgreSQL.
Can I filter Acuity Scheduling appointments before saving them to PostgreSQL?
Yes, Latenode lets you filter appointments based on various criteria, like type or date, before saving them to PostgreSQL, ensuring data relevance and quality.
Are there any limitations to the Acuity Scheduling and PostgreSQL integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require JavaScript knowledge.
- Initial data sync might take time depending on the data volume.
- API rate limits from Acuity Scheduling may affect large workflows.