How to connect Google Cloud BigQuery and Inoreader
Create a New Scenario to Connect Google Cloud BigQuery and Inoreader
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 Inoreader will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or Inoreader, 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.

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

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Authenticate Inoreader
Now, click the Inoreader node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Inoreader settings. Authentication allows you to use Inoreader through Latenode.
Configure the Google Cloud BigQuery and Inoreader 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 Google Cloud BigQuery and Inoreader 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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AI Anthropic Claude 3
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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud BigQuery, Inoreader, 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 Inoreader integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Inoreader (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 Inoreader
Inoreader + Slack: When a new article is added to a specific folder in Inoreader, a message is sent to a designated Slack channel, providing a daily summary of data analytics articles.
Inoreader + Google Sheets: Tracks trending tech topics from Inoreader, and stores data to new rows in Google Sheets.
Google Cloud BigQuery and Inoreader 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.
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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.
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See how Latenode works
FAQ Google Cloud BigQuery and Inoreader
How can I connect my Google Cloud BigQuery account to Inoreader using Latenode?
To connect your Google Cloud BigQuery account to Inoreader 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 Inoreader accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze Inoreader articles using BigQuery datasets?
Yes, you can! Latenode simplifies this by automating data transfer and analysis, allowing you to gain deeper insights from Inoreader content using BigQuery's powerful querying capabilities.
What types of tasks can I perform by integrating Google Cloud BigQuery with Inoreader?
Integrating Google Cloud BigQuery with Inoreader allows you to perform various tasks, including:
- Automatically archiving Inoreader articles to Google Cloud BigQuery for long-term storage.
- Analyzing trends in saved Inoreader articles using BigQuery's data processing capabilities.
- Creating custom dashboards in BigQuery based on Inoreader article data.
- Triggering alerts based on specific keywords found in Inoreader articles, tracked in BigQuery.
- Enriching BigQuery data with content extracted from Inoreader feeds.
HowsecureisthedatabetweentheGoogleCloudBigQueryandinoreaderintegration?
Latenode employs robust encryption and secure authentication protocols to ensure your data is protected during transfer and storage within the integration.
Are there any limitations to the Google Cloud BigQuery and Inoreader integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization may take time depending on the volume of Inoreader data.
- Complex data transformations might require custom JavaScript code in Latenode.
- Google Cloud BigQuery costs are separate and depend on your data volume and query complexity.