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How to connect Harvest and PostgreSQL
Create a New Scenario to Connect Harvest 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 Harvest, triggered by another scenario, or executed manually (for testing purposes). In most cases, Harvest or PostgreSQL will be your first step. To do this, click "Choose an app," find Harvest or PostgreSQL, and select the appropriate trigger to start the scenario.
Add the Harvest Node
Select the Harvest node from the app selection panel on the right.
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Add the PostgreSQL Node
Next, click the plus (+) icon on the Harvest 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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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 Harvest 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 Harvest 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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Save and Activate the Scenario
After configuring Harvest, 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 Harvest and PostgreSQL integration works as expected. Depending on your setup, data should flow between Harvest 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 Harvest and PostgreSQL
Harvest + PostgreSQL + Slack: When a Harvest project nears its budget, the information is stored in PostgreSQL. An alert is then sent to the project manager in Slack.
Harvest + PostgreSQL + Google Sheets: Track Harvest time entries in a PostgreSQL database. Then, generate summary reports in Google Sheets based on the data in PostgreSQL.
Harvest and PostgreSQL integration alternatives
About Harvest
Automate time tracking with Harvest in Latenode. Sync time entries to accounting, payroll, or project management. Create flows that auto-generate invoices or trigger alerts for budget overruns. Latenode provides the flexibility to connect Harvest data to other apps and add custom logic, avoiding manual updates and delays.
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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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See how Latenode works
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FAQ Harvest and PostgreSQL
How can I connect my Harvest account to PostgreSQL using Latenode?
To connect your Harvest account to PostgreSQL on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Harvest and click on "Connect".
- Authenticate your Harvest and PostgreSQL accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I archive Harvest time entries in PostgreSQL automatically?
Yes, you can. Latenode's visual editor makes it simple to archive data, ensuring data compliance and streamlined reporting without manual data transfers.
What types of tasks can I perform by integrating Harvest with PostgreSQL?
Integrating Harvest with PostgreSQL allows you to perform various tasks, including:
- Backing up Harvest time tracking data to a secure PostgreSQL database.
- Creating custom reports combining Harvest data with other business metrics.
- Automatically updating PostgreSQL with new Harvest project information.
- Triggering alerts based on Harvest data thresholds stored in PostgreSQL.
- Analyzing Harvest data trends over time using PostgreSQL's analytics tools.
How can I filter Harvest data before it's stored in PostgreSQL?
Use Latenode's visual filters or JavaScript blocks to transform your data, ensuring only relevant information is stored and analyzed in PostgreSQL.
Are there any limitations to the Harvest and PostgreSQL integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data migration from Harvest to PostgreSQL may require manual configuration.
- Complex data transformations may necessitate JavaScript coding within Latenode.
- Rate limits imposed by the Harvest API may affect large data synchronizations.
