Miro and Tavily Integration

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Automate market research by extracting insights from Tavily's search results directly onto Miro boards. Latenode simplifies data visualization affordably and allows further customization using JavaScript.

Swap Apps

Miro

Tavily

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Miro and Tavily

Create a New Scenario to Connect Miro and Tavily

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

Add the Miro Node

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

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Miro

Configure the Miro

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

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Miro

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Connect Miro

Sign In

Run node once

Add the Tavily Node

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

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Miro

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Tavily

Authenticate Tavily

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

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Tavily

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Connection *

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Connect Tavily

Sign In

Run node once

Configure the Miro and Tavily 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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Connect Tavily

Tavily Oauth 2.0

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Select an action *

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Map

The action ID

Run node once

Set Up the Miro and Tavily 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 Miro, Tavily, 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 Miro and Tavily integration works as expected. Depending on your setup, data should flow between Miro and Tavily (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Miro and Tavily

Tavily + Miro + Slack: Use Tavily to perform a web search on a specific topic. Then, create a new Miro board and visualize the insights found by Tavily. Finally, send a message with the Miro board link to a dedicated Slack channel.

Tavily + Miro + Google Docs: Use Tavily to research a topic, then create a new Miro board to organize findings. Afterward, create a new Google Document from the Miro board content.

Miro and Tavily integration alternatives

About Miro

Automate Miro board updates based on triggers from other apps. Latenode connects Miro to your workflows, enabling automatic creation of cards, text, or frames. Update Miro based on data from CRMs, databases, or project management tools, reducing manual work. Perfect for agile project tracking and visual process management, inside fully automated scenarios.

About Tavily

Use Tavily in Latenode to automate research workflows. Retrieve and analyze data from various sources for competitive intelligence or market research. Integrate Tavily’s search API into Latenode for automated content aggregation and report generation. Connect to AI models or databases, scaling your data processing without complex coding.

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FAQ Miro and Tavily

How can I connect my Miro account to Tavily using Latenode?

To connect your Miro account to Tavily on Latenode, follow these steps:

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

Can I automatically populate Miro boards with Tavily search results?

Yes! Latenode's visual editor makes it easy to trigger automated board updates, powered by Tavily's real-time data. Keep your Miro boards dynamically updated with the latest information.

What types of tasks can I perform by integrating Miro with Tavily?

Integrating Miro with Tavily allows you to perform various tasks, including:

  • Research and visualize competitor analysis directly within Miro.
  • Generate Miro mind maps from Tavily-driven insights automatically.
  • Create interactive project dashboards with real-time data updates.
  • Automate the process of gathering and structuring market research.
  • Collaboratively brainstorm and refine ideas based on search results.

HowdoIauthenticatetheMirointegrationwithinLatenode?

Latenode uses OAuth 2.0. Simply connect Miro and grant the necessary permissions during the authorization flow — Latenode handles the rest securely.

Are there any limitations to the Miro and Tavily integration on Latenode?

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

  • Large data transfers from Tavily may impact workflow execution time.
  • Miro's API rate limits could affect the frequency of automated updates.
  • Custom JavaScript code might be required for complex data transformations.

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