Inoreader and Google Cloud BigQuery (REST) Integration

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Aggregate Inoreader content insights in Google Cloud BigQuery (REST) for powerful trend analysis. Latenode's visual editor and JavaScript nodes simplify complex data transformations, and affordable pricing lets you scale insights affordably.

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Inoreader

Google Cloud BigQuery (REST)

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Inoreader and Google Cloud BigQuery (REST)

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

Add the Inoreader Node

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

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Configure the Inoreader

Click on the Inoreader node to configure it. You can modify the Inoreader 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 Inoreader 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 Inoreader 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 Inoreader 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 Inoreader, 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 Inoreader and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between Inoreader 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 Inoreader and Google Cloud BigQuery (REST)

Inoreader + Google Sheets: When a new article is available in an Inoreader folder, the article's information is added as a new row to a Google Sheet for tracking trending topics.

Inoreader + Slack: When a new article is tagged in Inoreader, send a message to a Slack channel to notify relevant teams.

Inoreader and Google Cloud BigQuery (REST) integration alternatives

About Inoreader

Aggregate and filter news feeds in Inoreader, then use Latenode to automate actions based on specific articles. Trigger alerts, update databases, or post to social media directly from your curated content. Use Latenode's visual editor and JavaScript node to refine filtering and formatting rules far beyond Inoreader's native options.

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 Inoreader and Google Cloud BigQuery (REST)

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

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

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

Can I analyze Inoreader data in BigQuery?

Yes, you can! Latenode allows you to seamlessly transfer and analyze Inoreader data within Google Cloud BigQuery (REST), gaining deeper insights with advanced querying and data warehousing capabilities.

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

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

  • Store Inoreader article data in BigQuery for historical analysis.
  • Create dashboards visualizing reading habits and content preferences.
  • Automate data backups of your Inoreader subscriptions to BigQuery.
  • Enrich Inoreader data with other datasets stored in BigQuery.
  • Trigger alerts based on trends observed in your Inoreader data.

Can I filter Inoreader articles before sending them to BigQuery?

Yes! Latenode's visual editor and JavaScript blocks allow precise filtering, ensuring only relevant data reaches Google Cloud BigQuery (REST) for efficient analysis.

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

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

  • Initial data transfer from Inoreader to BigQuery might take time.
  • Complex data transformations may require JavaScript coding.
  • BigQuery quotas and pricing apply when handling large datasets.

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