Google Cloud BigQuery and Docparser Integration

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Automate insights: Parse data from documents with Docparser and feed it into Google Cloud BigQuery for analysis. Latenode’s visual editor and affordable pricing make data workflows simple and scalable. Build custom logic and transform data on the fly using JavaScript.

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Google Cloud BigQuery

Docparser

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud BigQuery and Docparser

Create a New Scenario to Connect Google Cloud BigQuery and Docparser

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

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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.

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Add the Docparser Node

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

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Authenticate Docparser

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

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

Docparser + Google Cloud BigQuery + Google Sheets: When Docparser parses a document, the extracted data is sent to Google Cloud BigQuery. Then, a monthly summary is calculated in BigQuery, and the results are added as a new row in a Google Sheet.

Docparser + Google Cloud BigQuery + Slack: When Docparser parses support tickets, the data is sent to Google Cloud BigQuery to analyze trends. If urgent issues are identified based on certain criteria in BigQuery (simulated by finding rows in sheets), a notification is sent to support managers via Slack.

Google Cloud BigQuery and Docparser 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.

About Docparser

Extract data from PDFs, invoices, and forms automatically with Docparser in Latenode. Stop manual data entry. Build workflows that trigger actions based on parsed content. Use Latenode’s no-code tools to filter, transform, and route data to your database or apps, creating scalable document processing pipelines.

See how Latenode works

FAQ Google Cloud BigQuery and Docparser

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

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

Can I automatically analyze parsed documents' data in BigQuery?

Yes, with Latenode, automatically send parsed data from Docparser to Google Cloud BigQuery for analysis. Latenode's visual editor makes this process easy, unlocking powerful data insights without coding.

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

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

  • Automating data extraction from invoices into BigQuery for financial analysis.
  • Processing customer feedback forms and storing results in BigQuery.
  • Analyzing parsed data from shipping manifests using BigQuery's data warehouse.
  • Extracting data from scanned contracts and loading into BigQuery for reporting.
  • Centralizing document data for comprehensive business intelligence insights.

How secure is data transferred between Google Cloud BigQuery and Docparser?

Latenode uses secure connections and encryption to protect data during transfer between Google Cloud BigQuery and Docparser, ensuring data privacy and integrity.

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

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

  • Complex document structures in Docparser may require custom parsing rules.
  • Large data transfers to Google Cloud BigQuery may incur additional BigQuery costs.
  • Real-time data synchronization depends on the API request limits of both services.

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