Feedly and Tamtam Integration

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Aggregate Feedly articles and share them in Tamtam channels. Latenode's visual editor makes complex content routing simple, while JavaScript support unlocks advanced filtering and formatting at an affordable pay-per-execution price.

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Feedly

Tamtam

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Feedly and Tamtam

Create a New Scenario to Connect Feedly and Tamtam

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

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

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Authenticate Tamtam

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

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Configure the Feedly and Tamtam 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 Tamtam 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, Tamtam, 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 Tamtam integration works as expected. Depending on your setup, data should flow between Feedly and Tamtam (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 Tamtam

Feedly + Tamtam + Telegram: When a new article appears in a specified Feedly feed, a message containing the article's title and link is sent to a designated Tamtam channel and forwarded to a specific Telegram group.

Feedly + Tamtam + Discord bot: When a new article appears in a Feedly feed, a summary of the article is posted to a Tamtam channel and a simplified announcement is sent to a specific Discord channel.

Feedly and Tamtam 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 Tamtam

Use Tamtam in Latenode to automate messaging tasks. Send alerts, notifications, or updates based on triggers from other apps. Build workflows to distribute information automatically. Tamtam integration in Latenode avoids manual message sending, saving time. Plus, customize messaging flows with JS or AI for targeted and personalized comms.

See how Latenode works

FAQ Feedly and Tamtam

How can I connect my Feedly account to Tamtam using Latenode?

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

Can I post Feedly article summaries to Tamtam channels?

Yes, you can! Latenode's visual editor makes this simple. Automatically share key insights and keep your team informed of relevant news directly within Tamtam.

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

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

  • Share articles matching specific keywords to a Tamtam channel.
  • Send a Tamtam notification for new articles from a priority Feedly source.
  • Create Tamtam posts from Feedly articles with AI-generated summaries.
  • Archive Feedly articles to a Tamtam group for later review.
  • Schedule Tamtam updates with curated Feedly content using Latenode's scheduler.

Can I filter Feedly articles by keywords before sending to Tamtam?

Yes, you can. Latenode allows you to use conditional logic and JavaScript blocks to filter Feedly content precisely before updating Tamtam.

Are there any limitations to the Feedly and Tamtam integration on Latenode?

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

  • Rate limits imposed by Feedly and Tamtam may affect high-volume workflows.
  • Complex formatting from Feedly articles may not render perfectly in Tamtam.
  • Historical data migration between Feedly and Tamtam is not directly supported.

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