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

Add the Google Cloud BigQuery Node
Select the Google Cloud BigQuery node from the app selection panel on the right.

Google Cloud BigQuery
Configure the Google Cloud BigQuery
Click on the Google Cloud BigQuery node to configure it. You can modify the Google Cloud BigQuery URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the pdfFiller Node
Next, click the plus (+) icon on the Google Cloud BigQuery node, select pdfFiller from the list of available apps, and choose the action you need from the list of nodes within pdfFiller.

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Authenticate pdfFiller
Now, click the pdfFiller node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your pdfFiller settings. Authentication allows you to use pdfFiller through Latenode.
Configure the Google Cloud BigQuery and pdfFiller Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Cloud BigQuery and pdfFiller 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud BigQuery, pdfFiller, 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 Google Cloud BigQuery and pdfFiller integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and pdfFiller (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud BigQuery and pdfFiller
Google Sheets + pdfFiller + Slack: When a new row is added to a Google Sheet, data from that row is used to populate a PDF template in pdfFiller, and a Slack message is sent with a link to the filled document.
pdfFiller + Google Sheets + Slack: When a new form is filled in pdfFiller, the extracted data is added as a new row in Google Sheets, and a notification is sent to a Slack channel.
Google Cloud BigQuery and pdfFiller integration alternatives
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.
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About pdfFiller
Automate PDF workflows with pdfFiller in Latenode. Fill, sign, and edit PDFs automatically as part of larger processes. Need to pre-fill contracts from a database, route signed documents to storage, or update records based on PDF content? Integrate pdfFiller into Latenode for scalable, no-code automation without per-step fees, and add custom logic if needed.
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FAQ Google Cloud BigQuery and pdfFiller
How can I connect my Google Cloud BigQuery account to pdfFiller using Latenode?
To connect your Google Cloud BigQuery account to pdfFiller on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery and click on "Connect".
- Authenticate your Google Cloud BigQuery and pdfFiller accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically populate PDF forms from BigQuery data?
Yes, you can! Latenode allows automated data transfer, creating PDFs without code. Schedule regular updates or trigger PDFs on new data entries for efficient document generation.
What types of tasks can I perform by integrating Google Cloud BigQuery with pdfFiller?
Integrating Google Cloud BigQuery with pdfFiller allows you to perform various tasks, including:
- Dynamically generate reports in PDF format using data from BigQuery.
- Automatically fill out legal documents using data stored in BigQuery.
- Create personalized contracts with data pulled directly from your database.
- Generate invoices based on financial data stored in Google Cloud BigQuery.
- Archive data from BigQuery into secure, searchable PDF documents.
Can Latenode handle large BigQuery datasets for PDF generation?
Yes, Latenode is designed to handle substantial data volumes. Process BigQuery datasets efficiently to create and populate pdfFiller documents at scale.
Are there any limitations to the Google Cloud BigQuery and pdfFiller integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex formatting in pdfFiller may require custom JavaScript code.
- Very large BigQuery datasets could impact workflow execution time.
- Rate limits for Google Cloud BigQuery and pdfFiller APIs still apply.