Microsoft Excel and PandaDoc Integration

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Automate document creation by populating PandaDoc templates with data from Microsoft Excel. Latenode's visual editor makes it easier to customize complex workflows, plus you pay only for execution time, saving money as you scale.

Swap Apps

Microsoft Excel

PandaDoc

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Microsoft Excel and PandaDoc

Create a New Scenario to Connect Microsoft Excel and PandaDoc

In the workspace, click the โ€œCreate New Scenarioโ€ button.

Add the First Step

Add the first node โ€“ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Microsoft Excel, triggered by another scenario, or executed manually (for testing purposes). In most cases, Microsoft Excel or PandaDoc will be your first step. To do this, click "Choose an app," find Microsoft Excel or PandaDoc, and select the appropriate trigger to start the scenario.

Add the Microsoft Excel Node

Select the Microsoft Excel node from the app selection panel on the right.

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Microsoft Excel

Configure the Microsoft Excel

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

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Run node once

Add the PandaDoc Node

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

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Authenticate PandaDoc

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

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Configure the Microsoft Excel and PandaDoc 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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Set Up the Microsoft Excel and PandaDoc 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 donโ€™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 Microsoft Excel, PandaDoc, and any additional nodes, donโ€™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 โ€œRun onceโ€ and triggering an event to check if the Microsoft Excel and PandaDoc integration works as expected. Depending on your setup, data should flow between Microsoft Excel and PandaDoc (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Microsoft Excel and PandaDoc

Microsoft Excel + PandaDoc + Slack: When a new row is added to a Microsoft Excel table, a document is generated in PandaDoc using a template. Upon successful document creation, a notification is sent to a designated Slack channel, informing the sales team of the new document and its status.

PandaDoc + Microsoft Excel + HubSpot: When a document's status changes in PandaDoc (e.g., completed), the corresponding deal stage is updated in HubSpot. The document details and deal stage are then logged into a specified Microsoft Excel worksheet for record-keeping and analysis.

Microsoft Excel and PandaDoc integration alternatives

About Microsoft Excel

Automate Excel tasks within Latenode workflows. Read, update, or create spreadsheets directly. Use Excel data to trigger actions in other apps, generate reports, or update databases. No manual data entry; improve accuracy and save time by connecting Excel to other systems via Latenode's visual interface.

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 โ€“ saving time and ensuring data accuracy across systems. Scales easily.

See how Latenode works

FAQ Microsoft Excel and PandaDoc

How can I connect my Microsoft Excel account to PandaDoc using Latenode?

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

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

Can I automatically populate PandaDoc quotes from Excel data?

Yes, you can! Latenode lets you map Excel data directly into PandaDoc templates, automating quote creation and saving time. Leverage no-code blocks and JS for advanced transforms.

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

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

  • Automatically generating contracts based on Excel data inputs.
  • Updating Excel spreadsheets when a PandaDoc is completed.
  • Tracking document status in Excel from PandaDoc events.
  • Populating proposals with product data from Excel sheets.
  • Creating summary reports in Excel from PandaDoc metrics.

How secure is my data when connecting Excel and PandaDoc in Latenode?

Latenode uses industry-standard encryption and secure authentication protocols to protect your data when connecting Microsoft Excel and PandaDoc, ensuring a secure workflow.

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

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

  • Complex Excel formulas might require custom JavaScript for accurate data transfer.
  • Large Excel files can impact workflow speed; consider optimizing data handling.
  • PandaDoc template changes may require adjustments to your Latenode workflow.

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