Landbot.io and Streamtime Integration

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Automatically log Landbot.io leads as new Streamtime clients. Latenode's visual editor makes complex workflows simple, and pay-by-execution pricing ensures affordable scaling as your business grows.

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Landbot.io

Streamtime

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Landbot.io and Streamtime

Create a New Scenario to Connect Landbot.io and Streamtime

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

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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.

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Connect Landbot.io

Sign In

Run node once

Add the Streamtime Node

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

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Landbot.io

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Streamtime

Authenticate Streamtime

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

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Streamtime

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Configure the Landbot.io and Streamtime 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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Streamtime Oauth 2.0

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Select an action *

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Map

The action ID

Run node once

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

Landbot.io + Streamtime + Slack: When a new event is watched in Landbot, a job is created in Streamtime, and a notification is sent to a Slack channel.

Streamtime + Landbot.io + Google Sheets: When a job is completed in Streamtime, a text message is sent to the customer via Landbot, and the interaction data is added to Google Sheets.

Landbot.io and Streamtime 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 Streamtime

Streamtime project management inside Latenode: automate tasks like invoice creation based on project status, or sync time entries with accounting. Connect Streamtime to other apps via Latenode's visual editor and AI tools. Customize further with JavaScript for complex workflows. Manage projects and data automatically.

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FAQ Landbot.io and Streamtime

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

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

Can I automatically create Streamtime projects from new Landbot.io leads?

Yes, you can! Latenode's visual editor makes it easy to map data between apps. Use AI to enrich lead data before project creation, ensuring accuracy and efficiency.

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

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

  • Automatically creating new Streamtime clients from qualified Landbot.io leads.
  • Sending Landbot.io conversation summaries to Streamtime project notes.
  • Updating Streamtime project statuses based on Landbot.io user feedback.
  • Triggering Landbot.io follow-up messages when a Streamtime project is completed.
  • Adding Landbot.io survey responses to Streamtime for project performance analysis.

How secure is my Landbot.io data when using Latenode?

Latenode uses advanced encryption and security protocols to protect your data during transfer and storage, ensuring secure automation workflows.

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

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

  • Complex data transformations might require custom JavaScript code.
  • Real-time synchronization depends on the API rate limits of both services.
  • Large file transfers between services may impact workflow execution time.

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