PandaDoc and Streamtime Integration

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Automatically update project timelines in Streamtime when PandaDoc contracts are signed, triggering next steps easily through Latenode's visual editor. Scale complex workflows affordably, paying only for execution time when deals close.

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PandaDoc

Streamtime

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PandaDoc and Streamtime

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

Add the PandaDoc Node

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

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PandaDoc

Configure the PandaDoc

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

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PandaDoc

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Connect PandaDoc

Sign In

Run node once

Add the Streamtime Node

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

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Streamtime

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Connect Streamtime

Sign In

Run node once

Configure the PandaDoc 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 PandaDoc 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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Trigger on Webhook

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Save and Activate the Scenario

After configuring PandaDoc, 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 PandaDoc and Streamtime integration works as expected. Depending on your setup, data should flow between PandaDoc 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 PandaDoc and Streamtime

PandaDoc + Streamtime + Slack: When a PandaDoc document status changes to 'signed', update the corresponding project in Streamtime and notify the team in a designated Slack channel about the contract signature.

Streamtime + PandaDoc + Google Sheets: When a project's status is updated in Streamtime, create a new proposal in PandaDoc using a template and log the proposal details, including the document ID and status, into a Google Sheet.

PandaDoc and Streamtime integration alternatives

About PandaDoc

Automate document workflows with PandaDoc in Latenode. Generate, send, and track proposals/contracts without manual steps. Use Latenode to trigger PandaDoc actions from your CRM or database. Parse data, pre-fill templates, and update records when documents are signed – saving time and ensuring data accuracy across systems. Scales easily.

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 PandaDoc and Streamtime

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

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

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

Can I automatically create Streamtime projects from won PandaDoc proposals?

Yes, you can! Latenode lets you build automations that trigger project creation in Streamtime when a PandaDoc proposal is won, streamlining project setup without manual data entry.

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

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

  • Create Streamtime projects automatically upon PandaDoc document completion.
  • Update project status in Streamtime based on PandaDoc proposal stage.
  • Sync client data between PandaDoc and Streamtime for accurate records.
  • Trigger invoice generation in Streamtime from accepted PandaDoc quotes.
  • Send notifications on Slack when proposal status changes in PandaDoc using Latenode.

Can I use custom fields from PandaDoc in my Streamtime automations?

Yes, Latenode’s data mapping feature allows you to use custom fields from PandaDoc within your Streamtime workflows, enabling personalized automation flows.

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

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

  • Real-time data syncing depends on the API limits of both PandaDoc and Streamtime.
  • Complex document structures in PandaDoc may require advanced data parsing using JavaScript.
  • Initial setup may require some familiarity with both PandaDoc and Streamtime API structures.

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