LinkedIn and Tamtam Integration

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Automatically forward LinkedIn messages to Tamtam for faster response times and team visibility. Latenode's visual editor and affordable pricing let you customize and scale lead communication workflows without complex code.

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LinkedIn

Tamtam

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect LinkedIn and Tamtam

Create a New Scenario to Connect LinkedIn 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 LinkedIn, triggered by another scenario, or executed manually (for testing purposes). In most cases, LinkedIn or Tamtam will be your first step. To do this, click "Choose an app," find LinkedIn or Tamtam, and select the appropriate trigger to start the scenario.

Add the LinkedIn Node

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

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LinkedIn

Configure the LinkedIn

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

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LinkedIn

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Run node once

Add the Tamtam Node

Next, click the plus (+) icon on the LinkedIn 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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LinkedIn

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Tamtam

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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Run node once

Configure the LinkedIn 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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The action ID

Run node once

Set Up the LinkedIn 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 LinkedIn, 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 LinkedIn and Tamtam integration works as expected. Depending on your setup, data should flow between LinkedIn 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 LinkedIn and Tamtam

LinkedIn + Google Sheets: Whenever you make a new connection on LinkedIn, their profile data will be added as a new row in Google Sheets for record-keeping and analysis.

Tamtam + LinkedIn + Pipedrive: When a new user joins a Tamtam group, search for the user's profile on LinkedIn and create a new lead in Pipedrive with the LinkedIn profile information.

LinkedIn and Tamtam integration alternatives

About LinkedIn

Automate LinkedIn tasks in Latenode to streamline lead generation or social selling. Extract profile data, post updates, or send invites based on triggers from other apps. Chain actions visually, add custom logic, and scale outreach without complex code, paying only for the execution time that you use.

Related categories

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 LinkedIn and Tamtam

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

To connect your LinkedIn account to Tamtam on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select LinkedIn and click on "Connect".
  • Authenticate your LinkedIn and Tamtam accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically share LinkedIn leads in Tamtam channels?

Yes! Latenode lets you automate lead sharing, instantly notifying your team in Tamtam about new LinkedIn leads. Use advanced filters and custom messages for optimal results.

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

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

  • Send Tamtam messages upon new LinkedIn connection requests.
  • Post LinkedIn updates and share them in Tamtam channels.
  • Create new Tamtam contacts from collected LinkedIn profiles.
  • Notify team channels on Tamtam about new LinkedIn job postings.
  • Archive LinkedIn messages inside a designated Tamtam channel.

How secure is my LinkedIn data when using Latenode?

Latenode uses secure authentication protocols to protect your data. Control access rights and monitor your workflows in real-time.

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

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

  • Rate limits imposed by LinkedIn and Tamtam's APIs might affect high-volume workflows.
  • Complex data transformations may require JavaScript knowledge.
  • Some advanced LinkedIn features might not be directly accessible.

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