Automate Airtable & PandaDoc

Stop paying for mismatched spreadsheets. Sync data between Airtable and PandaDoc in real-time, so you can manage your operations without the busywork.

Get This Workflow Built

Custom API Integration

Secure Data Transfer

Done-For-You Setup

How the Data Flows

graph LR
    subgraph Source ["Airtable"]
        T1(["Fetch Custom Actions"])
    end
    
    subgraph Middleware ["Enterprise Integration Core"]
        W[CRON API
Poller] --> V{Validation
& Auth}
        V -->|Fail| DLQ[Dead Letter
Queue]
        V -->|Pass| Map[Data Mapping
& Transformation]
        Map --> Retry[Rate Limiting
& Retries]
    end
    
    subgraph Target ["PandaDoc"]
        A1(["Create Attachment"])
    end

    T1 -->|JSON Payload| W
    Retry -->|Authenticated API POST| A1

    style Source fill:transparent,stroke:#cbd5e1,stroke-dasharray: 5 5
    style Target fill:transparent,stroke:#cbd5e1,stroke-dasharray: 5 5
    style Middleware fill:#f8fafc,stroke:#94a3b8,stroke-width:2px
    style T1 fill:#3b82f6,stroke:#fff,stroke-width:2px,color:#fff
    style W fill:#1f2937,stroke:#fff,stroke-width:1px,color:#fff
    style V fill:#1f2937,stroke:#fff,stroke-width:1px,color:#fff
    style Map fill:#1f2937,stroke:#fff,stroke-width:1px,color:#fff
    style Retry fill:#1f2937,stroke:#fff,stroke-width:1px,color:#fff
    style DLQ fill:#ef4444,stroke:#fff,stroke-width:1px,color:#fff
    style A1 fill:#e11d48,stroke:#fff,stroke-width:2px,color:#fff

When Airtable and Pandadoc operate in isolation, the Sales team often finds themselves manually entering client information into Pandadoc after it has been updated in Airtable. For instance, if a new client record is created in Airtable with specific fields like 'Client Name', 'Email', and 'Contract Details', the Sales team must re-enter this data into Pandadoc for eSignature. This not only wastes valuable time but also increases the risk of human error, such as typos or missing information, which can delay contract processing and affect client satisfaction.

Top Ways to Automate Airtable & PandaDoc

Automated Document Creation: Instantly generate personalized proposals and contracts in PandaDoc using data from Airtable, eliminating manual entry and ensuring accuracy.
Real-Time Data Sync: Automatically update Airtable records when a document is sent, viewed, or signed in PandaDoc, ensuring your team always has access to the latest information.
Streamlined Approval Processes: Set up automated notifications and reminders for document approvals, allowing your team to track progress and reduce bottlenecks in the workflow.

How to Build the Airtable → PandaDoc Sync

In Airtable, set up a Standard Webhook to trigger on the creation of new records in your specified base.
Configure the webhook to listen for the 'Record Created' event, which will send a payload containing the new record's data.
In the webhook settings, ensure you include the fields 'Client Name', 'Email', and 'Contract Details' in the payload.
Set up an endpoint in your application to receive the webhook data from Airtable. This endpoint should parse the incoming JSON payload.
Extract the necessary data fields from the payload: 'Client Name', 'Email', and 'Contract Details'.
Use the Pandadoc REST API to create a new document. Make a POST request to the '/documents' endpoint.
In the POST request, include the extracted data in the body, formatted as JSON, to populate the document fields accordingly.
Test the entire flow by creating a new record in Airtable and confirming that a new document is generated in Pandadoc with the correct data.

Developer Warnings & API Gotchas

Ensure that the field types in Airtable match the expected data types in Pandadoc; for example, if Pandadoc requires a specific format for dates, you must format the date field in Airtable accordingly before sending it.
Be cautious of the payload size limit when sending data from Airtable to Pandadoc; large records may need to be truncated or split into multiple requests.
When mapping fields, verify that the field names in Airtable match exactly with the keys expected by the Pandadoc API to avoid errors during the document creation process.

Supported API Operations

We leverage official, stable endpoints to ensure secure data transfer. No deprecated legacy routes.

When this happens in Airtable... Fetch Custom Actions

Do this in PandaDoc Create Attachment
When this happens in Airtable... New Base

Do this in PandaDoc Create Document
When this happens in Airtable... New Filtered Field in Table

Do this in PandaDoc Create or Update Contact
When this happens in Airtable... New Record

Do this in PandaDoc Send Document

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I can see you're looking at mapping Airtable to PandaDoc. Tell me about your current setup—what's the specific bottleneck you're trying to automate right now?