PDFMonkey and Google Cloud BigQuery Integration

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Automatically archive generated documents: connect PDFMonkey to Google Cloud BigQuery to log and analyze document creation, gaining insights with scalable data processing, and leveraging Latenode's flexible API integrations.

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PDFMonkey

Google Cloud BigQuery

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PDFMonkey and Google Cloud BigQuery

Create a New Scenario to Connect PDFMonkey and Google Cloud BigQuery

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 Google Cloud BigQuery will be your first step. To do this, click "Choose an app," find PDFMonkey or Google Cloud BigQuery, 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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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 Google Cloud BigQuery Node

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

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Authenticate Google Cloud BigQuery

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

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Configure the PDFMonkey and Google Cloud BigQuery 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 PDFMonkey and Google Cloud BigQuery 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, Google Cloud BigQuery, 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 Google Cloud BigQuery integration works as expected. Depending on your setup, data should flow between PDFMonkey and Google Cloud BigQuery (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 Google Cloud BigQuery

Airtable + PDFMonkey + Google Cloud BigQuery: When new records are created in Airtable, a PDF document is generated using PDFMonkey. The generated PDF's data is then stored in Google Cloud BigQuery for analysis and reporting.

Google Cloud BigQuery + PDFMonkey + Slack: When new data is available in Google Cloud BigQuery, a PDF report is generated using PDFMonkey. A notification is then sent to a Slack channel with details about the generated report.

PDFMonkey and Google Cloud BigQuery 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 Google Cloud BigQuery

Use Google Cloud BigQuery in Latenode to automate data warehousing tasks. Query, analyze, and transform huge datasets as part of your workflows. Schedule data imports, trigger reports, or feed insights into other apps. Automate complex analysis without code and scale your insights with Latenode’s flexible, pay-as-you-go platform.

See how Latenode works

FAQ PDFMonkey and Google Cloud BigQuery

How can I connect my PDFMonkey account to Google Cloud BigQuery using Latenode?

To connect your PDFMonkey account to Google Cloud BigQuery 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 Google Cloud BigQuery accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I analyze PDF data in BigQuery automatically?

Yes, you can! Latenode enables you to automatically extract data from PDFs via PDFMonkey and send it to Google Cloud BigQuery for analysis. Gain insights faster with no-code automation and custom JavaScript steps.

What types of tasks can I perform by integrating PDFMonkey with Google Cloud BigQuery?

Integrating PDFMonkey with Google Cloud BigQuery allows you to perform various tasks, including:

  • Automatically updating a BigQuery dataset with new PDF documents.
  • Tracking PDF generation metrics and storing them in BigQuery.
  • Creating custom dashboards based on PDF data extracted via AI.
  • Archiving generated PDFs and their metadata in BigQuery.
  • Triggering PDF generation based on data changes in BigQuery.

HowdoIhandlelargePDFfilesbeingprocessedthroughPDFMonkeyonLatenode?

Latenode can handle large PDF files by leveraging efficient processing and streaming. You can also use JavaScript blocks to optimize file handling before processing by PDFMonkey.

Are there any limitations to the PDFMonkey and Google Cloud BigQuery integration on Latenode?

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

  • Rate limits of both PDFMonkey and Google Cloud BigQuery apply.
  • Complex PDF structures may require custom JavaScript parsing.
  • Initial BigQuery schema setup is required for data ingestion.

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