Ghost and PostgreSQL Integration

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Archive Ghost content in PostgreSQL for detailed analytics and reporting. Latenode's visual editor simplifies data workflows, while affordable execution-based pricing makes large Ghost datasets manageable and scalable.

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Ghost

PostgreSQL

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Ghost and PostgreSQL

Create a New Scenario to Connect Ghost 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 Ghost, triggered by another scenario, or executed manually (for testing purposes). In most cases, Ghost or PostgreSQL will be your first step. To do this, click "Choose an app," find Ghost or PostgreSQL, and select the appropriate trigger to start the scenario.

Add the Ghost Node

Select the Ghost node from the app selection panel on the right.

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Ghost

Configure the Ghost

Click on the Ghost node to configure it. You can modify the Ghost URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Ghost

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Sign In

Run node once

Add the PostgreSQL Node

Next, click the plus (+) icon on the Ghost 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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Ghost

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PostgreSQL

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Connect PostgreSQL

Sign In

Run node once

Configure the Ghost 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 Oauth 2.0

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The action ID

Run node once

Set Up the Ghost 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 Ghost, 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 Ghost and PostgreSQL integration works as expected. Depending on your setup, data should flow between Ghost 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 Ghost and PostgreSQL

Ghost + Discord bot: Whenever a new post is published on Ghost, a message is sent to a designated Discord channel to notify the community.

PostgreSQL + Ghost + Slack: When a new or updated row appears in a PostgreSQL database, create a summary post on Ghost and then notify a Slack channel.

Ghost and PostgreSQL integration alternatives

About Ghost

Integrate Ghost with Latenode to automate content workflows. Automatically publish new posts, manage member data, or trigger email campaigns. Use Latenode's visual editor and flexible nodes to build custom workflows around Ghost, bypassing manual tasks and scaling content operations without code. Connect Ghost to other apps to streamline your publishing process.

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 Ghost and PostgreSQL

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

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

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

Can I archive Ghost posts to PostgreSQL automatically?

Yes, you can! Latenode allows automated archiving. Benefit from reliable data backups and custom reporting, leveraging PostgreSQL's robust data management capabilities.

What types of tasks can I perform by integrating Ghost with PostgreSQL?

Integrating Ghost with PostgreSQL allows you to perform various tasks, including:

  • Backing up Ghost content and settings to PostgreSQL databases.
  • Analyzing Ghost member data using PostgreSQL's querying capabilities.
  • Creating custom reports on Ghost performance metrics in PostgreSQL.
  • Triggering PostgreSQL updates based on new Ghost post publications.
  • Synchronizing Ghost member data with other PostgreSQL-managed systems.

HowdoIhandleGhostimageassetsstorageandbackupwithLatenode?

Latenode enables seamless image asset backup. Use our platform to automate backups to PostgreSQL or any preferred storage solution ensuring data security.

Are there any limitations to the Ghost and PostgreSQL integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex data transformations may require JavaScript coding in Latenode.
  • Real-time synchronization depends on the polling interval configured.
  • Large data migrations might require optimizing workflow performance.

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