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

Add the Google AppSheet Node
Select the Google AppSheet node from the app selection panel on the right.

Google AppSheet
Configure the Google AppSheet
Click on the Google AppSheet node to configure it. You can modify the Google AppSheet URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the PandaDoc Node
Next, click the plus (+) icon on the Google AppSheet 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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PandaDoc

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.
Configure the Google AppSheet 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.
Set Up the Google AppSheet 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 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.

JavaScript
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AI Anthropic Claude 3
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PandaDoc
Trigger on Webhook
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Google AppSheet
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Google AppSheet, PandaDoc, 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 Google AppSheet and PandaDoc integration works as expected. Depending on your setup, data should flow between Google AppSheet 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 Google AppSheet and PandaDoc
Google AppSheet + PandaDoc + Google Sheets: When a document's status changes in PandaDoc, find the corresponding record in Google AppSheet and update a specified field. Then, update a row in Google Sheets to reflect the contract's current status, using data from the AppSheet record.
PandaDoc + Google AppSheet + Slack: When a PandaDoc document is completed, update a specific record in Google AppSheet with the completion status and any relevant data from the document. Then, send a notification to a designated Slack channel, informing the team about the completed document and including a link to the updated AppSheet record.
Google AppSheet and PandaDoc integration alternatives
About Google AppSheet
Use Google AppSheet for no-code app creation and connect it to Latenode to automate back-end tasks. Trigger workflows on AppSheet events to update databases, send notifications, or process data. Centralize logic in Latenode, bypassing AppSheet limits and adding advanced features like AI, file parsing, or custom integrations via API and code.
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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.
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FAQ Google AppSheet and PandaDoc
How can I connect my Google AppSheet account to PandaDoc using Latenode?
To connect your Google AppSheet account to PandaDoc on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google AppSheet and click on "Connect".
- Authenticate your Google AppSheet and PandaDoc accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically generate contracts from Google AppSheet data?
Yes, you can! Latenode's visual editor lets you map Google AppSheet data to PandaDoc templates. Automate document creation and save valuable time.
What types of tasks can I perform by integrating Google AppSheet with PandaDoc?
Integrating Google AppSheet with PandaDoc allows you to perform various tasks, including:
- Automatically create PandaDoc contracts when a new Google AppSheet record is added.
- Update Google AppSheet with the status of PandaDoc documents (e.g., sent, viewed, signed).
- Populate contract fields in PandaDoc from Google AppSheet data.
- Send PandaDoc contracts for approval based on Google AppSheet triggers.
- Generate and send personalized proposals via PandaDoc using Google AppSheet data.
What Google AppSheet data can I access within Latenode workflows?
You can access virtually all data within your Google AppSheet databases, then use it to trigger actions in PandaDoc or other apps.
Are there any limitations to the Google AppSheet and PandaDoc integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require JavaScript blocks.
- PandaDoc API rate limits apply, potentially affecting high-volume automation.
- Custom Google AppSheet formulas might need replication in Latenode.