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How to connect Feedly and Amazon S3
Create a New Scenario to Connect Feedly and Amazon S3
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 S3 will be your first step. To do this, click "Choose an app," find Feedly or Amazon S3, 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 Amazon S3 Node
Next, click the plus (+) icon on the Feedly node, select Amazon S3 from the list of available apps, and choose the action you need from the list of nodes within Amazon S3.
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Authenticate Amazon S3
Now, click the Amazon S3 node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Amazon S3 settings. Authentication allows you to use Amazon S3 through Latenode.
Configure the Feedly and Amazon S3 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 Amazon S3 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 S3, 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 S3 integration works as expected. Depending on your setup, data should flow between Feedly and Amazon S3 (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 S3
Feedly + Amazon S3 + Google Sheets: When a new article appears in a Feedly feed, it is archived to an Amazon S3 bucket as a file, and the article's details are logged in a Google Sheets spreadsheet for content analysis.
Amazon S3 + Feedly + Slack: When a new file is added to an Amazon S3 bucket, Feedly finds related articles based on the file content. A summary of these articles is then posted to a designated Slack channel.
Feedly and Amazon S3 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 Amazon S3
Automate S3 file management within Latenode. Trigger flows on new uploads, automatically process stored data, and archive old files. Integrate S3 with your database, AI models, or other apps. Latenode simplifies complex S3 workflows with visual tools and code options for custom logic.
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FAQ Feedly and Amazon S3
How can I connect my Feedly account to Amazon S3 using Latenode?
To connect your Feedly account to Amazon S3 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 S3 accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically archive Feedly articles to Amazon S3?
Yes, you can! Latenode enables automated backups of Feedly content to Amazon S3. This ensures data preservation and allows for offline access and analysis, leveraging Latenode’s scheduled workflows.
What types of tasks can I perform by integrating Feedly with Amazon S3?
Integrating Feedly with Amazon S3 allows you to perform various tasks, including:
- Backing up Feedly articles to a secure Amazon S3 bucket.
- Creating an archive of industry news for compliance.
- Storing data for sentiment analysis projects.
- Generating daily reports of saved Feedly content.
- Building a personalized knowledge base from RSS feeds.
How can I filter specific Feedly articles before saving to Amazon S3?
Use Latenode’s visual editor to filter Feedly articles by keywords, categories, or authors before automatically archiving to Amazon S3 for targeted data storage.
Are there any limitations to the Feedly and Amazon S3 integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by Feedly and Amazon S3 APIs may apply.
- Large-scale data transfers could incur Amazon S3 storage costs.
- Complex filtering logic may require JavaScript knowledge.
