Mailhook and PostgreSQL Integration

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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.

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Mailhook

PostgreSQL

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Mailhook and PostgreSQL

Create a New Scenario to Connect Mailhook and PostgreSQL

In the workspace, click the β€œCreate 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 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.

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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.

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Mailhook

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Connect Mailhook

Sign In
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Run node once

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.

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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.

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Mailhook

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PostgreSQL

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Connect PostgreSQL

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Run node once

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.

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PostgreSQL

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Connect PostgreSQL

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Select an action *

Select

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The action ID

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Run node once

Set Up the Mailhook 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 Mailhook, 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 β€œRun once” 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.

Most powerful ways to connect Mailhook and PostgreSQL

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.

Mailhook and PostgreSQL integration alternatives

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.

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.

See how Latenode works

FAQ Mailhook and PostgreSQL

How can I connect my Mailhook account to PostgreSQL using Latenode?

To connect your Mailhook account to PostgreSQL on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Mailhook and click on "Connect".
  • Authenticate your Mailhook and PostgreSQL accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

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:

  • Automatically backing up email attachments to a database.
  • Storing email content for compliance and auditing purposes.
  • Creating lead generation pipelines from incoming email data.
  • Building a searchable email archive within your database.
  • Triggering database updates based on email events.

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:

  • Rate limits from Mailhook and PostgreSQL may impact high-volume workflows.
  • Complex data transformations may require JavaScript knowledge.
  • Initial setup requires understanding of database schema design.

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