ConvertAPI and Google Cloud BigQuery (REST) Integration

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Automatically convert documents with ConvertAPI, then archive and analyze them in Google Cloud BigQuery (REST). Latenode's visual editor and affordable pay-by-execution pricing make large-scale document processing easier and more cost-effective than ever before.

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ConvertAPI

Google Cloud BigQuery (REST)

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect ConvertAPI and Google Cloud BigQuery (REST)

Create a New Scenario to Connect ConvertAPI and Google Cloud BigQuery (REST)

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

Add the ConvertAPI Node

Select the ConvertAPI node from the app selection panel on the right.

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Configure the ConvertAPI

Click on the ConvertAPI node to configure it. You can modify the ConvertAPI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Add the Google Cloud BigQuery (REST) Node

Next, click the plus (+) icon on the ConvertAPI 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 ConvertAPI 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 ConvertAPI 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 ConvertAPI, 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 β€œRun once” and triggering an event to check if the ConvertAPI and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between ConvertAPI 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 ConvertAPI and Google Cloud BigQuery (REST)

ConvertAPI + Google Cloud BigQuery (REST) + Airtable: When a file is converted using ConvertAPI, the file metadata is inserted as a new row in Google Cloud BigQuery. This new row event triggers the creation of a record in Airtable, allowing to track conversion requests and statuses.

Google Cloud BigQuery (REST) + ConvertAPI + Google Drive: When a new row is added to a BigQuery table containing file paths, ConvertAPI converts the file, uploads it to Google Drive, and then the Google Cloud BigQuery table is updated with the Google Drive file link.

ConvertAPI and Google Cloud BigQuery (REST) integration alternatives

About ConvertAPI

Automate file conversions within Latenode. ConvertAPI handles PDFs, images, documents, and more. Instead of manual uploads or custom code, build automated workflows to convert files as they arrive, then parse data or trigger follow-up actions. Scales easily, no coding needed.

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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FAQ ConvertAPI and Google Cloud BigQuery (REST)

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

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

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

Can I archive converted PDFs into a BigQuery data warehouse?

Yes, you can. Latenode's visual editor makes this simple, enabling automated backups and analysis of converted documents directly within your Google Cloud BigQuery (REST) environment.

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

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

  • Automatically store converted document metadata in BigQuery for auditing.
  • Analyze conversion trends by logging file types and conversion success rates.
  • Create data pipelines that trigger conversions and save results to BigQuery.
  • Monitor conversion costs by tracking API usage and associated expenses.
  • Build custom dashboards to visualize conversion metrics derived from BigQuery data.

Can I use JavaScript to preprocess files before ConvertAPI conversion?

Yes! Latenode allows you to add JavaScript blocks to transform files before conversion, enabling custom data manipulation.

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

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

  • Large file conversions might experience delays depending on ConvertAPI's processing capacity.
  • Google Cloud BigQuery (REST) costs are separate and depend on your data storage and query volume.
  • Complex data transformations may require advanced JavaScript coding within Latenode.

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