PDF.co and Google Cloud BigQuery (REST) Integration

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Automate PDF data extraction using PDF.co and send it to Google Cloud BigQuery (REST) for analysis. Latenode’s visual editor makes complex data pipelines easy, while affordable pricing scales with your business.

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PDF.co

Google Cloud BigQuery (REST)

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PDF.co and Google Cloud BigQuery (REST)

Create a New Scenario to Connect PDF.co and Google Cloud BigQuery (REST)

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

Add the PDF.co Node

Select the PDF.co node from the app selection panel on the right.

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Configure the PDF.co

Click on the PDF.co node to configure it. You can modify the PDF.co 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 (REST) Node

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

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Authenticate Google Cloud BigQuery (REST)

Now, click the Google Cloud BigQuery (REST) 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 (REST) settings. Authentication allows you to use Google Cloud BigQuery (REST) through Latenode.

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Configure the PDF.co and Google Cloud BigQuery (REST) 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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Set Up the PDF.co and Google Cloud BigQuery (REST) 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 PDF.co, Google Cloud BigQuery (REST), 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 PDF.co and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between PDF.co and Google Cloud BigQuery (REST) (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect PDF.co and Google Cloud BigQuery (REST)

PDF.co + Google Cloud BigQuery (REST) + Airtable: Extract data from PDFs using PDF.co's Parse Document action. Load the extracted data into Google Cloud BigQuery using Insert Rows (REST). Visualize key metrics in Airtable by creating new records with the loaded data.

Google Cloud BigQuery (REST) + PDF.co + Google Sheets: Analyze data in BigQuery by creating a query job using Create Query Job (REST) and then retrieve its results. Generate a PDF report via PDF.co using Convert into PDF with the results. Finally, store a summary of the report in Google Sheets by adding a new row.

PDF.co and Google Cloud BigQuery (REST) integration alternatives

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.

About Google Cloud BigQuery (REST)

Automate BigQuery data workflows in Latenode. Query and analyze massive datasets directly within your automation scenarios, bypassing manual SQL. Schedule queries, transform results with JavaScript, and pipe data to other apps. Scale your data processing without complex coding or expensive per-operation fees. Perfect for reporting, analytics, and data warehousing automation.

See how Latenode works

FAQ PDF.co and Google Cloud BigQuery (REST)

How can I connect my PDF.co account to Google Cloud BigQuery (REST) using Latenode?

To connect your PDF.co account to Google Cloud BigQuery (REST) on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select PDF.co and click on "Connect".
  • Authenticate your PDF.co and Google Cloud BigQuery (REST) accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I archive parsed PDF data to BigQuery?

Yes, with Latenode, easily send PDF.co's extracted data directly to BigQuery for secure, scalable archiving. Benefit from Latenode’s no-code interface to automate the process.

What types of tasks can I perform by integrating PDF.co with Google Cloud BigQuery (REST)?

Integrating PDF.co with Google Cloud BigQuery (REST) allows you to perform various tasks, including:

  • Automatically back up parsed PDF invoices to a BigQuery dataset.
  • Analyze PDF data trends in BigQuery using advanced SQL queries.
  • Create dashboards visualizing data extracted from PDF reports.
  • Trigger alerts based on specific data points found in parsed PDFs.
  • Enrich existing BigQuery data with information extracted from PDFs.

Can I use custom JavaScript to transform PDF data?

Yes, Latenode allows you to use custom JavaScript code to manipulate data from PDF.co before sending it to Google Cloud BigQuery (REST) for tailored workflows.

Are there any limitations to the PDF.co and Google Cloud BigQuery (REST) integration on Latenode?

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

  • Complex PDF layouts may require advanced configuration in PDF.co.
  • BigQuery costs can increase with large volumes of PDF data ingestion.
  • Real-time data synchronization depends on API rate limits.

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