Data Enrichment and Streamtime Integration

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Automatically enrich project data in Streamtime from various sources. Latenode's visual editor simplifies the entire workflow. Leverage the flexibility of JavaScript nodes and pay only for execution time.

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Data Enrichment

Streamtime

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Data Enrichment and Streamtime

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

Add the Data Enrichment Node

Select the Data Enrichment node from the app selection panel on the right.

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Data Enrichment

Configure the Data Enrichment

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

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Connect Data Enrichment

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Run node once

Add the Streamtime Node

Next, click the plus (+) icon on the Data Enrichment 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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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 Data Enrichment 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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The action ID

Run node once

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

Streamtime + Data Enrichment + Slack: When a new job is created in Streamtime, enrich the associated company data using Data Enrichment, and then post a summary of the job and enriched data to a specified Slack channel.

Streamtime + Data Enrichment + HubSpot: When a job is completed in Streamtime, enrich the associated contact information and update the contact record in HubSpot with the enriched data.

Data Enrichment and Streamtime integration alternatives

About Data Enrichment

Enrich lead data, verify addresses, or flag fraud risks within Latenode workflows. Connect Data Enrichment APIs to auto-update records across apps. Streamline data cleaning and validation with no-code blocks or custom JS. Automate tasks that need enhanced data for better decisions, at scale.

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 Data Enrichment and Streamtime

How can I connect my Data Enrichment account to Streamtime using Latenode?

To connect your Data Enrichment account to Streamtime on Latenode, follow these steps:

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

Can I automatically update Streamtime projects with enriched lead data?

Yes, you can! Latenode enables automatic updates, enriching leads and reflecting these changes in Streamtime. Enjoy better data accuracy & informed project management.

What types of tasks can I perform by integrating Data Enrichment with Streamtime?

Integrating Data Enrichment with Streamtime allows you to perform various tasks, including:

  • Enrich new Streamtime client data automatically.
  • Update existing Streamtime project details with enriched information.
  • Create new Streamtime projects from enriched lead data.
  • Trigger Data Enrichment searches based on Streamtime project updates.
  • Synchronize client information between Data Enrichment and Streamtime.

How secure is my Data Enrichment data when using Latenode integration?

Latenode employs robust security measures, including encryption and access controls, ensuring the secure handling of your Data Enrichment data.

Are there any limitations to the Data Enrichment 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 coding.
  • Rate limits of Data Enrichment and Streamtime APIs still apply.
  • Real-time synchronization depends on the polling interval set in Latenode.

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