How to connect Google Cloud BigQuery and PDF.co
Create a New Scenario to Connect Google Cloud BigQuery and PDF.co
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 PDF.co will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or PDF.co, 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 PDF.co Node
Next, click the plus (+) icon on the Google Cloud BigQuery node, select PDF.co from the list of available apps, and choose the action you need from the list of nodes within PDF.co.

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Authenticate PDF.co
Now, click the PDF.co node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your PDF.co settings. Authentication allows you to use PDF.co through Latenode.
Configure the Google Cloud BigQuery and PDF.co 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 PDF.co 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 Google Cloud BigQuery, PDF.co, 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 PDF.co integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and PDF.co (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 PDF.co
Google Cloud BigQuery + PDF.co + Google Drive: This automation extracts data from Google Cloud BigQuery, converts it into a PDF document using PDF.co, and saves the resulting PDF file in a designated folder within Google Drive for archival purposes.
PDF.co + Google Cloud BigQuery + Slack: When PDF.co parses a document, the extracted data is stored in a Google Cloud BigQuery dataset. Subsequently, a notification message is sent to a designated Slack channel, informing users of the new data entry.
Google Cloud BigQuery and PDF.co 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 PDF.co
Need to automate PDF tasks? Use PDF.co in Latenode to parse data, convert formats, and add signatures. Automate document processing workflows without code. Latenode’s visual editor and affordable pricing make it easy to build scalable solutions for invoices, reports, and more. Bypass manual work and centralize document automation.
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FAQ Google Cloud BigQuery and PDF.co
How can I connect my Google Cloud BigQuery account to PDF.co using Latenode?
To connect your Google Cloud BigQuery account to PDF.co 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 PDF.co accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate PDF report generation from BigQuery data?
Yes, you can. Latenode lets you schedule automated reports. This saves time and ensures data-driven PDF reports are generated and distributed regularly, improving decision-making.
What types of tasks can I perform by integrating Google Cloud BigQuery with PDF.co?
Integrating Google Cloud BigQuery with PDF.co allows you to perform various tasks, including:
- Automatically generate invoices from BigQuery financial data.
- Create personalized reports using data extracted from BigQuery.
- Convert database records into searchable PDF documents.
- Watermark sensitive PDF documents with data from BigQuery.
- Archive query results in PDF format for auditing purposes.
How do I schedule BigQuery data exports to PDF using Latenode?
Use Latenode's built-in scheduler to trigger BigQuery data exports and PDF conversion. Automate reporting and archival tasks.
Are there any limitations to the Google Cloud BigQuery and PDF.co integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large datasets in BigQuery may require more processing time.
- Complex PDF layouts may require advanced PDF.co configurations.
- API rate limits apply to both Google Cloud BigQuery and PDF.co.