PDFMonkey and PostgreSQL Integration

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Automatically generate PDF documents with PDFMonkey and store them securely in PostgreSQL. Latenode’s visual editor and affordable pricing make automating document workflows easier than ever. Scale to handle complex, data-driven document generation use cases using JavaScript if needed.

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PDFMonkey

PostgreSQL

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PDFMonkey and PostgreSQL

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

Add the PDFMonkey Node

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

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PDFMonkey

Configure the PDFMonkey

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

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Run node once

Add the PostgreSQL Node

Next, click the plus (+) icon on the PDFMonkey 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.

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Configure the PDFMonkey 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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The action ID

Run node once

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

PDFMonkey + PostgreSQL + Slack: When a new PDF document is generated in PDFMonkey, a record is inserted into a PostgreSQL database. Subsequently, a message is sent to a Slack channel notifying the team about the new document.

PostgreSQL + PDFMonkey + Airtable: When a new row is added or updated in a PostgreSQL database, a contract is automatically generated in PDFMonkey. A record of this contract generation is then logged in Airtable.

PDFMonkey and PostgreSQL integration alternatives

About PDFMonkey

Use PDFMonkey in Latenode to automate document creation from templates. Populate PDFs with data from any app (CRM, database, etc.) via API. Latenode lets you trigger PDF generation based on events, archive documents, and send them automatically. Simplify reporting and document workflows with no-code or custom code.

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 PDFMonkey and PostgreSQL

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

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

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

Can I automatically archive generated PDFs in PostgreSQL?

Yes, you can! Latenode enables automatic archiving using its visual builder. Benefit: centralized PDF data and easier analysis by linking documents to your PostgreSQL records.

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

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

  • Storing PDFMonkey document URLs within your PostgreSQL database.
  • Triggering PDF generation from new PostgreSQL database entries.
  • Updating PostgreSQL records with data extracted from generated PDFs.
  • Generating personalized PDF reports based on PostgreSQL data.
  • Archiving PDF documents with related PostgreSQL metadata.

How can I use JavaScript within my PDFMonkey Latenode workflows?

Latenode allows you to embed JavaScript code within your workflows to manipulate data before sending it to PDFMonkey, allowing for advanced PDF customization.

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

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

  • Complex PDFMonkey templates might require advanced JavaScript knowledge.
  • Rate limits of PDFMonkey and PostgreSQL apply.
  • Large data transfers can impact workflow execution time.

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