PostgreSQL and ConvertAPI Integration

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Automatically convert documents stored in PostgreSQL to various formats using ConvertAPI. Latenode's visual editor makes it easy to set up triggers and transformations without code, and our execution-based pricing keeps costs low as you scale.

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PostgreSQL

ConvertAPI

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PostgreSQL and ConvertAPI

Create a New Scenario to Connect PostgreSQL and ConvertAPI

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

Add the PostgreSQL Node

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

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Configure the PostgreSQL

Click on the PostgreSQL node to configure it. You can modify the PostgreSQL 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 ConvertAPI Node

Next, click the plus (+) icon on the PostgreSQL node, select ConvertAPI from the list of available apps, and choose the action you need from the list of nodes within ConvertAPI.

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Authenticate ConvertAPI

Now, click the ConvertAPI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your ConvertAPI settings. Authentication allows you to use ConvertAPI through Latenode.

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Configure the PostgreSQL and ConvertAPI 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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Run node once

Set Up the PostgreSQL and ConvertAPI 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 PostgreSQL, ConvertAPI, 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 PostgreSQL and ConvertAPI integration works as expected. Depending on your setup, data should flow between PostgreSQL and ConvertAPI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect PostgreSQL and ConvertAPI

ConvertAPI + PostgreSQL + Google Drive: When a file is converted using ConvertAPI, the converted file is uploaded to Google Drive. PostgreSQL is updated with the Google Drive file ID and other relevant metadata.

ConvertAPI + PostgreSQL + Slack: Monitors ConvertAPI for failed file conversions. When a conversion fails, it retrieves error details from ConvertAPI and job information from PostgreSQL, then sends a Slack alert with the details.

PostgreSQL and ConvertAPI integration alternatives

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.

About ConvertAPI

Automate file conversions within Latenode. ConvertAPI handles PDFs, images, documents, and more. Instead of manual uploads or custom code, build automated workflows to convert files as they arrive, then parse data or trigger follow-up actions. Scales easily, no coding needed.

See how Latenode works

FAQ PostgreSQL and ConvertAPI

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

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

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

Can I automatically archive database records as PDF?

Yes, you can! Latenode allows you to automate PDF creation from PostgreSQL data via ConvertAPI. This enables efficient document management and reduces manual processing time.

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

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

  • Convert database reports to PDF for archiving.
  • Generate watermarked documents from PostgreSQL data.
  • Create image thumbnails from database-stored PDFs.
  • Automate document conversion based on database triggers.
  • Extract text from PDFs stored in your PostgreSQL database.

Can I use JavaScript with my PostgreSQL and ConvertAPI integration?

Yes! Latenode’s code block supports JavaScript, offering flexible data transformation and custom logic beyond simple no-code configurations.

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

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

  • Large-scale document conversion may be subject to ConvertAPI's API usage limits.
  • Complex database queries might require optimization for efficient data retrieval.
  • Custom JavaScript code requires testing and debugging to ensure proper functionality.

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