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Archive Feedly articles to MongoDB automatically and build a knowledge base. Use Latenode’s visual editor to add custom filters with JavaScript, and scale affordably with execution-based pricing.
Connect Feedly and MongoDB in minutes with Latenode.
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In the workspace, click the “Create New Scenario” button.

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 MongoDB will be your first step. To do this, click "Choose an app," find Feedly or MongoDB, and select the appropriate trigger to start the scenario.

Select the Feedly node from the app selection panel on the right.

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

Feedly
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MongoDB
Now, click the MongoDB node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your MongoDB settings. Authentication allows you to use MongoDB through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
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MongoDB
Trigger on Webhook
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Feedly
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Iterator
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Webhook response
After configuring Feedly, MongoDB, 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.
Run the scenario by clicking “Run once” and triggering an event to check if the Feedly and MongoDB integration works as expected. Depending on your setup, data should flow between Feedly and MongoDB (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Feedly + MongoDB + Discord bot: Automatically save new articles from specified Feedly feeds to a MongoDB collection. Then, post a summary of the article (title and link) to a designated Discord channel to keep your community informed.
Feedly + MongoDB + Airtable: Monitor trending topics from Feedly, store the data in a MongoDB database, and then create records in Airtable to visualize and track trends using Airtable's dashboard capabilities.
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 MongoDB
Use MongoDB in Latenode to automate data storage and retrieval. Aggregate data from multiple sources, then store it in MongoDB for analysis or reporting. Latenode lets you trigger workflows based on MongoDB changes, create real-time dashboards, and build custom integrations. Low-code tools and JavaScript nodes unlock flexibility for complex data tasks.
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How can I connect my Feedly account to MongoDB using Latenode?
To connect your Feedly account to MongoDB on Latenode, follow these steps:
Can I archive Feedly articles to MongoDB?
Yes, you can easily archive Feedly articles directly to MongoDB using Latenode's visual editor. Latenode lets you transform and filter data with JavaScript, ensuring only relevant content gets saved.
What types of tasks can I perform by integrating Feedly with MongoDB?
Integrating Feedly with MongoDB allows you to perform various tasks, including:
How can I filter Feedly articles before saving them to MongoDB in Latenode?
Latenode's no-code data manipulation blocks and JavaScript steps allow you to filter Feedly articles by keywords, authors, or categories before saving to MongoDB.
Are there any limitations to the Feedly and MongoDB integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: