Feedly and Amazon Redshift Integration

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Feedly

Amazon Redshift

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Feedly and Amazon Redshift

Create a New Scenario to Connect Feedly and Amazon Redshift

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 Amazon Redshift will be your first step. To do this, click "Choose an app," find Feedly or Amazon Redshift, 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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Configure the Feedly

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

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Sign In

Run node once

Add the Amazon Redshift Node

Next, click the plus (+) icon on the Feedly node, select Amazon Redshift from the list of available apps, and choose the action you need from the list of nodes within Amazon Redshift.

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Authenticate Amazon Redshift

Now, click the Amazon Redshift node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Amazon Redshift settings. Authentication allows you to use Amazon Redshift through Latenode.

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Configure the Feedly and Amazon Redshift 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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Run node once

Set Up the Feedly and Amazon Redshift 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, Amazon Redshift, 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 Amazon Redshift integration works as expected. Depending on your setup, data should flow between Feedly and Amazon Redshift (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 Amazon Redshift

Feedly + Amazon Redshift + Slack: When a new article appears in a Feedly feed, the article details are saved to an Amazon Redshift database. A summary of the article is then sent to a specified Slack channel.

Feedly + Amazon Redshift + Google Sheets: As new articles appear in Feedly, their metadata is stored in Amazon Redshift. Then, data from Redshift is periodically exported to Google Sheets for reporting and analysis.

Feedly and Amazon Redshift 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.

About Amazon Redshift

Use Amazon Redshift in Latenode to automate data warehousing tasks. Extract, transform, and load (ETL) data from various sources into Redshift without code. Automate reporting, sync data with other apps, or trigger alerts based on data changes. Scale your analytics pipelines using Latenode's flexible, visual workflows and pay-as-you-go pricing.

Feedly + Amazon Redshift integration

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FAQ Feedly and Amazon Redshift

How can I connect my Feedly account to Amazon Redshift using Latenode?

To connect your Feedly account to Amazon Redshift 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 Amazon Redshift accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I archive specific Feedly articles into Amazon Redshift?

Yes, you can archive Feedly articles directly into Amazon Redshift with Latenode. This allows for better data analysis and reporting on collected information from your feeds.

What types of tasks can I perform by integrating Feedly with Amazon Redshift?

Integrating Feedly with Amazon Redshift allows you to perform various tasks, including:

  • Aggregate Feedly articles into a data warehouse for trend analysis.
  • Create real-time dashboards showing article frequency and sentiment.
  • Store Feedly content and metadata for compliance and audit trails.
  • Trigger database updates in Amazon Redshift based on new articles.
  • Analyze popular topics from Feedly feeds using SQL queries.

Can I filter Feedly articles before storing them in Amazon Redshift?

Yes, you can filter articles using Latenode's logic blocks or JavaScript code to ensure only relevant data is stored in Amazon Redshift, optimizing storage.

Are there any limitations to the Feedly and Amazon Redshift 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 data.
  • Amazon Redshift data type limitations may require data transformation.
  • Rate limits imposed by the Feedly API can affect real-time data flow.

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