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How to connect Feedly and Google Cloud BigQuery
Create a New Scenario to Connect Feedly 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 Feedly, triggered by another scenario, or executed manually (for testing purposes). In most cases, Feedly or Google Cloud BigQuery will be your first step. To do this, click "Choose an app," find Feedly or Google Cloud BigQuery, and select the appropriate trigger to start the scenario.
Add the Feedly Node
Select the Feedly node from the app selection panel on the right.
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Add the Google Cloud BigQuery Node
Next, click the plus (+) icon on the Feedly 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.
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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 Feedly 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 Feedly 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.
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Save and Activate the Scenario
After configuring Feedly, 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 Feedly and Google Cloud BigQuery integration works as expected. Depending on your setup, data should flow between Feedly 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 Feedly and Google Cloud BigQuery
Feedly + Google Sheets: Monitor a Feedly feed for new articles. When a new article is found, add a row to a Google Sheet to track trending topics over time.
Feedly + Slack: Monitor a Feedly feed for new articles. When a new article is found, send a message to a Slack channel notifying users of significant news events.
Feedly and Google Cloud BigQuery integration alternatives
About Feedly
Aggregate and filter Feedly articles within Latenode to automate content-driven workflows. Track brand mentions, industry trends, or competitor activity, then instantly trigger actions like posting to social media, updating databases, or notifying teams—all based on custom rules and logic.
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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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FAQ Feedly and Google Cloud BigQuery
How can I connect my Feedly account to Google Cloud BigQuery using Latenode?
To connect your Feedly account to Google Cloud BigQuery on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Feedly and click on "Connect".
- Authenticate your Feedly and Google Cloud BigQuery accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze Feedly article trends in BigQuery?
Yes, you can! Latenode automates data transfer from Feedly to BigQuery. Analyze content performance, identify key topics, and gain actionable insights with ease.
What types of tasks can I perform by integrating Feedly with Google Cloud BigQuery?
Integrating Feedly with Google Cloud BigQuery allows you to perform various tasks, including:
- Automatically backing up Feedly articles to BigQuery for archival.
- Analyzing trending topics extracted from Feedly in BigQuery.
- Creating personalized content recommendations using BigQuery data.
- Monitoring competitor mentions in Feedly and storing results in BigQuery.
- Building custom dashboards with Feedly data stored in BigQuery.
How do I filter specific articles from Feedly before sending data?
Use Latenode's filtering capabilities to process only relevant Feedly articles before loading data into Google Cloud BigQuery. Refine your analysis.
Are there any limitations to the Feedly and Google Cloud BigQuery integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data loading may take time depending on the volume of Feedly articles.
- Real-time data synchronization depends on Feedly's API update frequency.
- Complex data transformations may require custom JavaScript code.
