Automate PandaDoc & Square

Stop paying for mismatched spreadsheets. Sync data between PandaDoc and Square 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 ["PandaDoc"]
        T1(["Document Completed"])
    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 ["Square"]
        A1(["Add Customer to Group"])
    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 Pandadoc and Square operate independently, the sales team faces significant delays in processing payments. For instance, when a client signs a document in Pandadoc, the sales representative must manually enter the payment details into Square, risking data entry errors such as incorrect amounts or client information. This manual process not only wastes time but also leads to discrepancies in financial records, causing frustration for both the sales team and accounting department as they reconcile mismatched data.

Top Ways to Automate PandaDoc & Square

Automated Document Generation: Instantly generate and send customized proposals and contracts from PandaDoc, automatically populating client information and payment details from Square, ensuring accuracy and saving time.
Real-Time Payment Tracking: Automatically update payment statuses in PandaDoc based on transactions processed through Square, providing your team with immediate visibility into revenue and outstanding invoices.
Streamlined Client Onboarding: Create a seamless onboarding experience by automatically sending welcome documents and payment links to new clients, reducing manual follow-ups and enhancing customer satisfaction.

How to Build the PandaDoc → Square Sync

Set up a webhook in Pandadoc to listen for the 'document.signed' event. This will trigger when a client completes signing a document.
Configure the webhook to send a POST request to your designated endpoint, including the payload data such as the document ID, client email, and total amount due.
On your server, extract the necessary data from the webhook payload. Specifically, capture 'document.id', 'client.email', and 'document.total_amount'.
Use the Square REST API to create a new payment. Make a POST request to the /v2/payments endpoint with the extracted data. Include the 'client.email' for customer identification and 'document.total_amount' for the payment amount.
Handle the response from Square to confirm the payment was processed successfully and log any errors for troubleshooting.

Developer Warnings & API Gotchas

Ensure that the 'document.total_amount' from Pandadoc is formatted correctly as a decimal in the Square API request; otherwise, the payment may fail due to invalid amount formatting.
Be cautious of the data types in the webhook payload; 'client.email' must be a valid email format, or Square will reject the payment request.
Consider the timing of the webhook trigger; if multiple documents are signed in quick succession, ensure your endpoint can handle concurrent requests to avoid data loss.

Supported API Operations

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

When this happens in PandaDoc... Document Completed

Do this in Square Add Customer to Group
When this happens in PandaDoc... Document Paid

Do this in Square Change Inventory
When this happens in PandaDoc... Document Sent

Do this in Square Create Appointment
When this happens in PandaDoc... Document Status Changed

Do this in Square Create Customer
When this happens in PandaDoc... Fetch Custom Actions

Do this in Square Create Invoice

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