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Capture incoming email data via Mailhook and store it securely in PostgreSQL. Latenode simplifies data handling with its visual editor and JavaScript nodes, letting you build custom logic and scale data workflows affordably.
Connect Mailhook and PostgreSQL in minutes with Latenode.
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Create a New Scenario to Connect Mailhook and PostgreSQL
In the workspace, click the βCreate New Scenarioβ button.
Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Mailhook, triggered by another scenario, or executed manually (for testing purposes). In most cases, Mailhook or PostgreSQL will be your first step. To do this, click "Choose an app," find Mailhook or PostgreSQL, and select the appropriate trigger to start the scenario.
Add the Mailhook Node
Select the Mailhook node from the app selection panel on the right.
Mailhook
Configure the Mailhook
Click on the Mailhook node to configure it. You can modify the Mailhook 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 Mailhook node, select PostgreSQL from the list of available apps, and choose the action you need from the list of nodes within PostgreSQL.
Mailhook
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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 Mailhook 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 Mailhook and PostgreSQL Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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PostgreSQL
Trigger on Webhook
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Mailhook
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Mailhook, PostgreSQL, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the Mailhook and PostgreSQL integration works as expected. Depending on your setup, data should flow between Mailhook and PostgreSQL (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Mailhook + PostgreSQL + Slack: When a new email is received via Mailhook, the data is parsed and saved to a PostgreSQL database. If specific criteria are met (e.g., subject contains 'urgent'), a message is sent to a designated Slack channel.
PostgreSQL + Mailhook + Google Sheets: When a row in a PostgreSQL database is updated, an email is sent via Mailhook to notify stakeholders, and the event is logged in a Google Sheet for auditing and tracking purposes.
About Mailhook
Use Mailhook in Latenode to instantly capture incoming emails and parse their contents into usable data. Trigger workflows on specific email events, like form submissions or order confirmations. Route parsed data to other apps, databases, or AI models for advanced processing. Automate email handling without code and scale as needed.
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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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How can I connect my Mailhook account to PostgreSQL using Latenode?
To connect your Mailhook account to PostgreSQL on Latenode, follow these steps:
Can I save parsed email data from Mailhook into PostgreSQL?
Yes, you can easily save parsed email data to PostgreSQL. Latenode's visual editor simplifies data mapping and transformation, ensuring accurate and efficient database updates, which boosts data-driven decisions.
What types of tasks can I perform by integrating Mailhook with PostgreSQL?
Integrating Mailhook with PostgreSQL allows you to perform various tasks, including:
How do I process large volumes of Mailhook data efficiently on Latenode?
Latenode's robust infrastructure efficiently handles large Mailhook data volumes. You can leverage scalable workflows and parallel processing to manage high-throughput data without performance bottlenecks.
Are there any limitations to the Mailhook and PostgreSQL integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: