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

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

Inoreader
⚙
Google Cloud BigQuery
Authenticate Google Cloud BigQuery
Now, click the Google Cloud BigQuery 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 settings. Authentication allows you to use Google Cloud BigQuery through Latenode.
Configure the Inoreader and Google Cloud BigQuery 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 Inoreader and Google Cloud BigQuery 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.

JavaScript
⚙
AI Anthropic Claude 3
⚙
Google Cloud BigQuery
Trigger on Webhook
⚙
Inoreader
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Inoreader, Google Cloud BigQuery, 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 Inoreader and Google Cloud BigQuery integration works as expected. Depending on your setup, data should flow between Inoreader and Google Cloud BigQuery (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
Inoreader + Google Sheets + Slack: This workflow monitors Inoreader for new articles in a specified folder. When a new article is detected, its details are saved to a Google Sheet. Then, a summary of the trending news article is posted to a designated Slack channel.
Inoreader + Google Sheets + Slack: This workflow tracks new articles in a specified Inoreader folder. When a new article is found, a row is added to a Google Sheet containing article details. If the topic is on a specific list, a message is sent to a Slack channel.
Inoreader and Google Cloud BigQuery 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.
Similar apps
Related categories
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.
Similar apps
Related categories
See how Latenode works
FAQ Inoreader and Google Cloud BigQuery
How can I connect my Inoreader account to Google Cloud BigQuery using Latenode?
To connect your Inoreader account to Google Cloud BigQuery 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 accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I archive Inoreader articles to BigQuery automatically?
Yes, you can! Latenode allows automated archival of Inoreader articles to BigQuery. Benefit from centralized data storage for detailed trend analysis with powerful querying capabilities.
What types of tasks can I perform by integrating Inoreader with Google Cloud BigQuery?
Integrating Inoreader with Google Cloud BigQuery allows you to perform various tasks, including:
- Analyze reading habits and content preferences over time.
- Create dashboards to visualize Inoreader data trends in BigQuery.
- Automatically back up Inoreader articles to a data warehouse.
- Enrich BigQuery datasets with content from Inoreader feeds.
- Trigger alerts based on content extracted from Inoreader.
How can I filter Inoreader articles based on content using Latenode?
Use Latenode's JavaScript block to filter Inoreader articles using custom criteria before sending them to Google Cloud BigQuery for precise data analysis.
Are there any limitations to the Inoreader and Google Cloud BigQuery integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data migration from Inoreader to BigQuery can take time.
- BigQuery costs are separate and depend on data volume and queries.
- Complex data transformations may require JavaScript knowledge.