Landbot.io and Microsoft Power BI Integration

90% cheaper with Latenode

AI agent that builds your workflows for you

Hundreds of apps to connect

Visualize Landbot.io chatbot data in Microsoft Power BI for actionable insights. Latenode's visual editor makes custom metrics a breeze, plus scale affordably with usage-based pricing.

Landbot.io + Microsoft Power BI integration

Connect Landbot.io and Microsoft Power BI in minutes with Latenode.

Start for free

Automate your workflow

Swap Apps

Landbot.io

Microsoft Power BI

Step 1: Choose a Trigger

Step 2: Choose an Action

When this happens...

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Do this.

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Try it now

No credit card needed

Without restriction

How to connect Landbot.io and Microsoft Power BI

Create a New Scenario to Connect Landbot.io and Microsoft Power BI

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

Add the Landbot.io Node

Select the Landbot.io node from the app selection panel on the right.

+
1

Landbot.io

Configure the Landbot.io

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

+
1

Landbot.io

Node type

#1 Landbot.io

/

Name

Untitled

Connection *

Select

Map

Connect Landbot.io

Sign In

Run node once

Add the Microsoft Power BI Node

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

1

Landbot.io

+
2

Microsoft Power BI

Authenticate Microsoft Power BI

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

1

Landbot.io

+
2

Microsoft Power BI

Node type

#2 Microsoft Power BI

/

Name

Untitled

Connection *

Select

Map

Connect Microsoft Power BI

Sign In

Run node once

Configure the Landbot.io and Microsoft Power BI Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

1

Landbot.io

+
2

Microsoft Power BI

Node type

#2 Microsoft Power BI

/

Name

Untitled

Connection *

Select

Map

Connect Microsoft Power BI

Microsoft Power BI Oauth 2.0

#66e212yt846363de89f97d54
Change

Select an action *

Select

Map

The action ID

Run node once

Set Up the Landbot.io and Microsoft Power BI 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.
5

JavaScript

6

AI Anthropic Claude 3

+
7

Microsoft Power BI

1

Trigger on Webhook

2

Landbot.io

3

Iterator

+
4

Webhook response

Save and Activate the Scenario

After configuring Landbot.io, Microsoft Power BI, 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 Landbot.io and Microsoft Power BI integration works as expected. Depending on your setup, data should flow between Landbot.io and Microsoft Power BI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Landbot.io and Microsoft Power BI

Landbot.io + Google Sheets + Microsoft Power BI: When a new event is triggered in Landbot.io, the data is added as a new row in Google Sheets. This updated data in Google Sheets triggers a refresh of a Microsoft Power BI dataset, allowing for real-time visualization of chatbot interactions.

Microsoft Power BI + Landbot.io + Slack: When a Power BI report is updated, a targeted Landbot.io chat is initiated to collect user feedback. A summary of the feedback collected via Landbot.io is then sent to a dedicated Slack channel for team review.

Landbot.io and Microsoft Power BI integration alternatives

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.

About Microsoft Power BI

Use Power BI in Latenode to automate report generation and data analysis. Trigger report refreshes based on real-time events, then use Latenode to share insights across your team via Slack, email, or other apps. Automate your analytics pipeline and react faster, without manual Power BI updates. Latenode adds scheduling and distribution.

See how Latenode works

FAQ Landbot.io and Microsoft Power BI

How can I connect my Landbot.io account to Microsoft Power BI using Latenode?

To connect your Landbot.io account to Microsoft Power BI on Latenode, follow these steps:

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

Can I visualize Landbot data in Power BI?

Yes, easily! Latenode simplifies data transfer. Analyze Landbot.io chatbot responses and create insightful dashboards in Microsoft Power BI, improving data-driven decision-making.

What types of tasks can I perform by integrating Landbot.io with Microsoft Power BI?

Integrating Landbot.io with Microsoft Power BI allows you to perform various tasks, including:

  • Automatically updating Power BI dashboards with new Landbot.io conversation data.
  • Tracking lead generation metrics from Landbot.io chatbots in Power BI reports.
  • Analyzing customer satisfaction scores collected via Landbot.io in Power BI.
  • Creating personalized Power BI reports based on Landbot.io user segments.
  • Triggering alerts in Power BI based on specific Landbot.io chatbot interactions.

How does Latenode handle Landbot.io data transformations?

Latenode’s no-code blocks and JavaScript steps allow you to reshape and filter Landbot.io data before sending it to Microsoft Power BI.

Are there any limitations to the Landbot.io and Microsoft Power BI integration on Latenode?

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

  • Complex data transformations may require JavaScript knowledge.
  • Real-time data updates are subject to API rate limits of both platforms.
  • Historical data import might require manual configuration for large datasets.

Try now