Adalo and Streamtime Integration

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Automatically update Streamtime projects when new clients sign up in Adalo. Latenode's visual editor makes complex data mapping easy, while affordable pay-by-execution pricing helps you scale without cost concerns.

Swap Apps

Adalo

Streamtime

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Adalo and Streamtime

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

Add the Adalo Node

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

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Adalo

Configure the Adalo

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

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Adalo

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Connect Adalo

Sign In

Run node once

Add the Streamtime Node

Next, click the plus (+) icon on the Adalo 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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Adalo

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Streamtime

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Map

Connect Streamtime

Sign In

Run node once

Configure the Adalo 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 Adalo 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 Adalo, 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 Adalo and Streamtime integration works as expected. Depending on your setup, data should flow between Adalo 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 Adalo and Streamtime

Streamtime + Adalo + Google Sheets: When a new job is created in Streamtime, create a corresponding record in Adalo to track project hours against budget. Log these updates, including Streamtime job details and Adalo record IDs, to a Google Sheet for reporting.

Streamtime + Adalo + Slack: Triggered by updates to a job in Streamtime, this automation checks for a corresponding record in Adalo. If found, it sends a message to a designated Slack channel to alert project managers about the status change.

Adalo and Streamtime integration alternatives

About Adalo

Use Adalo with Latenode to automate tasks triggered by your no-code apps. Update databases, send custom notifications, or process data from Adalo forms in real-time. Latenode adds advanced logic, data transformation, and scaling beyond Adalo's limits, with flexible JavaScript coding and cost-effective execution pricing.

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 Adalo and Streamtime

How can I connect my Adalo account to Streamtime using Latenode?

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

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Adalo and click on "Connect".
  • Authenticate your Adalo 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 Adalo app sign-ups?

Yes, you can! With Latenode, automate Streamtime project creation when new users sign up in Adalo. Centralize project setup & streamline workflows, no coding required.

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

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

  • Create Streamtime projects when new Adalo records are created.
  • Update Streamtime tasks based on Adalo record updates.
  • Send custom notifications from Adalo to Streamtime users.
  • Sync Adalo database entries with Streamtime project details.
  • Trigger Streamtime actions from Adalo button clicks.

Can I use JavaScript to enhance my Adalo and Streamtime automations?

Yes! Latenode allows adding custom JavaScript code, expanding your Adalo and Streamtime integrations beyond simple no-code workflows.

Are there any limitations to the Adalo 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.
  • Real-time data synchronization depends on API request limits.
  • Large data volumes may affect workflow execution speed.

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