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Automatically extract data from parsed documents in Docparser, then load it into Google Cloud BigQuery (REST) for analysis. Latenode's visual editor and affordable pricing make scaling this data pipeline easy, using no-code tools or custom JavaScript.
Connect Docparser and Google Cloud BigQuery (REST) in minutes with Latenode.
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Create a New Scenario to Connect Docparser 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 Docparser, triggered by another scenario, or executed manually (for testing purposes). In most cases, Docparser or Google Cloud BigQuery (REST) will be your first step. To do this, click "Choose an app," find Docparser or Google Cloud BigQuery (REST), and select the appropriate trigger to start the scenario.
Add the Docparser Node
Select the Docparser node from the app selection panel on the right.
Docparser
Configure the Docparser
Click on the Docparser node to configure it. You can modify the Docparser URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Cloud BigQuery (REST) Node
Next, click the plus (+) icon on the Docparser 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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Google Cloud BigQuery (REST)
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.
Configure the Docparser 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.
Set Up the Docparser and Google Cloud BigQuery (REST) Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Google Cloud BigQuery (REST)
Trigger on Webhook
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Docparser, 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 Docparser and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between Docparser and Google Cloud BigQuery (REST) (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Docparser + Google Cloud BigQuery (REST) + Google Sheets: When Docparser parses a document, the extracted data is inserted into a BigQuery table. Then, data from BigQuery is used to update a Google Sheet for visualization and analysis.
Docparser + Google Cloud BigQuery (REST) + Slack: After Docparser parses a document, the extracted data is inserted into a BigQuery table. A query job analyzes the data and if anomalies are detected, a message is sent to a Slack channel.
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.
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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.
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How can I connect my Docparser account to Google Cloud BigQuery (REST) using Latenode?
To connect your Docparser account to Google Cloud BigQuery (REST) on Latenode, follow these steps:
Can I analyze parsed invoices directly in BigQuery?
Yes, you can! Latenode lets you seamlessly send parsed invoice data from Docparser to Google Cloud BigQuery (REST) for advanced analytics. Gain deeper insights with powerful data processing capabilities.
What types of tasks can I perform by integrating Docparser with Google Cloud BigQuery (REST)?
Integrating Docparser with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
HowdoesLatencodehelpwitherrorhandlingbetweenDocparserandBigQuery?
Latenode's built-in error handling and logging provide detailed insights, simplifying debugging and ensuring reliable data transfer between the apps.
Are there any limitations to the Docparser and Google Cloud BigQuery (REST) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: