PandaDoc and Microsoft Excel Integration

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Automatically update Microsoft Excel with PandaDoc data after document completion, using Latenode's visual editor to build custom logic or add JavaScript for complex data transformations, while enjoying affordable pay-per-use pricing.

Swap Apps

PandaDoc

Microsoft Excel

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PandaDoc and Microsoft Excel

Create a New Scenario to Connect PandaDoc and Microsoft Excel

In the workspace, click the β€œCreate 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 Microsoft Excel will be your first step. To do this, click "Choose an app," find PandaDoc or Microsoft Excel, 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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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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Run node once

Add the Microsoft Excel Node

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

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Authenticate Microsoft Excel

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

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Configure the PandaDoc and Microsoft Excel 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 PandaDoc and Microsoft Excel 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 PandaDoc, Microsoft Excel, 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 β€œRun once” and triggering an event to check if the PandaDoc and Microsoft Excel integration works as expected. Depending on your setup, data should flow between PandaDoc and Microsoft Excel (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 Microsoft Excel

PandaDoc + Microsoft Excel + Slack: When a document's status changes in PandaDoc (e.g., is completed), a new row is added to an Excel table to update the sales forecast. Then, a message is sent to a Slack channel to notify the sales team of the updated forecast.

Microsoft Excel + PandaDoc + Google Sheets: When a new row is added to an Excel table (containing proposal data), a document is created in PandaDoc from a template. Once the document is completed, the final details are logged in a Google Sheets spreadsheet for analysis.

PandaDoc and Microsoft Excel 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 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.

See how Latenode works

FAQ PandaDoc and Microsoft Excel

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

To connect your PandaDoc account to Microsoft Excel 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 Microsoft Excel accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically update Excel with new PandaDoc document data?

Yes, you can! Latenode enables real-time Excel updates triggered by PandaDoc events, ensuring your data is always synchronized. Benefit from instant insights and eliminate manual data entry.

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

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

  • Automatically adding new PandaDoc contacts to an Excel spreadsheet.
  • Tracking document status changes in Excel for reporting purposes.
  • Generating personalized Excel reports from PandaDoc data using AI.
  • Creating new PandaDoc documents from data stored in Microsoft Excel.
  • Updating Excel cells with completion dates from signed PandaDoc documents.

HowsecureisthePandaDocintegrationwithMicrosoftExcelonLatenode?

Latenode employs robust security measures, including encryption and secure authentication, to protect your PandaDoc and Microsoft Excel data during integration.

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

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

  • Complex Excel formulas might require adjustments within Latenode.
  • Large Excel files can impact workflow execution speed.
  • Custom PandaDoc templates need careful mapping for data transfer.

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