Feedly and Landbot.io Integration

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Automatically send Feedly article summaries to Landbot.io chatbots, creating engaging lead magnets or interactive content using Latenode's visual editor. Customize the data flow with JavaScript and scale affordably.

Swap Apps

Feedly

Landbot.io

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Feedly and Landbot.io

Create a New Scenario to Connect Feedly and Landbot.io

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 Landbot.io will be your first step. To do this, click "Choose an app," find Feedly or Landbot.io, 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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Feedly

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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Connect Feedly

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Run node once

Add the Landbot.io Node

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

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Feedly

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Landbot.io

Authenticate Landbot.io

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

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Landbot.io

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Configure the Feedly and Landbot.io 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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Landbot.io Oauth 2.0

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Run node once

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

Feedly + Landbot.io + Google Sheets: When a new article appears in a Feedly feed, send it to a Landbot chatbot. Record the user's interactions (e.g., article preferences) within the chatbot and save this data in a Google Sheets spreadsheet.

Landbot.io + Feedly + Email: Use Landbot to gather a user's content interests. Based on these interests, find relevant articles from Feedly and email them to the user.

Feedly and Landbot.io 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 Landbot.io

Use Landbot.io in Latenode to build no-code chatbots, then connect them to your wider automation. Capture leads, qualify prospects, or provide instant support and trigger follow-up actions directly in your CRM, databases, or marketing tools. Latenode handles complex logic, scaling, and integrations without per-step fees.

See how Latenode works

FAQ Feedly and Landbot.io

How can I connect my Feedly account to Landbot.io using Latenode?

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

Can I send Feedly articles to Landbot.io for user feedback?

Yes, you can! Latenode's visual editor makes it easy to trigger Landbot.io chats based on new Feedly articles, gathering instant feedback & boosting engagement.

What types of tasks can I perform by integrating Feedly with Landbot.io?

Integrating Feedly with Landbot.io allows you to perform various tasks, including:

  • Automatically share new Feedly articles via Landbot.io chatbots.
  • Collect user feedback on specific Feedly content within Landbot.io.
  • Personalize Landbot.io welcome messages based on Feedly article topics.
  • Update Landbot.io user profiles with Feedly reading history data.
  • Trigger automated marketing campaigns via Landbot.io using Feedly triggers.

How can Latenode help manage errors between Feedly and Landbot.io?

Latenode provides detailed logs & error handling, allowing you to quickly identify & resolve issues in your Feedly + Landbot.io automation flows.

Are there any limitations to the Feedly and Landbot.io integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Rate limits imposed by Feedly and Landbot.io may affect high-volume workflows.
  • Complex data transformations might require custom JavaScript code.
  • Real-time data synchronization depends on the polling frequency configured.

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