Enrich Layer and Streamtime Integration

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Automatically enrich Streamtime project data with detailed insights from Enrich Layer, then use Latenode's visual editor and affordable execution-based pricing to build custom reports and scale analysis without complex coding.

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Enrich Layer

Streamtime

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Enrich Layer and Streamtime

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

Add the Enrich Layer Node

Select the Enrich Layer node from the app selection panel on the right.

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Enrich Layer

Configure the Enrich Layer

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

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Enrich Layer

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Connect Enrich Layer

Sign In

Run node once

Add the Streamtime Node

Next, click the plus (+) icon on the Enrich Layer 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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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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Configure the Enrich Layer 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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Run node once

Set Up the Enrich Layer 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 Enrich Layer, 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 Enrich Layer and Streamtime integration works as expected. Depending on your setup, data should flow between Enrich Layer 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 Enrich Layer and Streamtime

Enrich Layer + Streamtime + Slack: When a company is enriched in Enrich Layer, its details are used to update project notes in Streamtime. Subsequently, a Slack message is sent to the team with the updated project information.

Streamtime + Enrich Layer + HubSpot: When a new project is created in Streamtime, the associated contact data is enriched using Enrich Layer. This enriched contact information is then used to update the contact in HubSpot.

Enrich Layer and Streamtime integration alternatives

About Enrich Layer

Enrich Layer inside Latenode automates data validation and enhancement. Fix errors and add missing info to leads or contacts. Clean up data from any source before it reaches your CRM or database. Latenode handles complex logic and scales the process without per-step costs, keeping data accurate and workflows efficient.

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.

Related categories

Enrich Layer + Streamtime integration

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FAQ Enrich Layer and Streamtime

How can I connect my Enrich Layer account to Streamtime using Latenode?

To connect your Enrich Layer account to Streamtime on Latenode, follow these steps:

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

Can I enrich Streamtime project data automatically?

Yes, you can! Latenode’s visual editor makes it easy to trigger Enrich Layer upon new Streamtime projects. Enhance data instantly, boosting insights & reporting.

What types of tasks can I perform by integrating Enrich Layer with Streamtime?

Integrating Enrich Layer with Streamtime allows you to perform various tasks, including:

  • Automatically enriching new Streamtime client data with company information.
  • Updating Streamtime projects with enriched lead data.
  • Triggering alerts based on Enrich Layer data within Streamtime.
  • Creating custom reports combining data from both Enrich Layer and Streamtime.
  • Automating data validation between Enrich Layer and Streamtime.

How secure is the Enrich Layer integration on Latenode?

Latenode employs enterprise-grade security, including encryption, to protect your Enrich Layer data during integration and workflow execution.

Are there any limitations to the Enrich Layer and Streamtime integration on Latenode?

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

  • Complex data transformations may require custom JavaScript code.
  • Real-time data synchronization depends on the API limits of both services.
  • Historical data migration requires manual configuration.

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