This article provides a complete, practical walkthrough of the Splitout Code Monitor Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title: Automating Shopify to Squarespace Contact Export with n8n
   
   Meta Description:
   Learn how to automate the export of Shopify customer data into a Google Sheet and convert it into a Squarespace-compatible CSV using n8n's powerful workflow capabilities.
   
   Keywords:
   n8n, Shopify automation, Squarespace contacts, Google Sheets API, Shopify API, data integration, ecommerce automation, customer export, no-code workflow, Shopify to Squarespace
   
   Third-Party APIs Used:
   - Shopify API
   - Google Sheets API
   
   Full Article:
   
   Automating Shopify Customer Exports to Squarespace Using n8n
   
   In the world of ecommerce, data integration can be one of the most time-consuming tasks—especially when managing customers across multiple platforms. If you're operating a Shopify store and managing a contact list in Squarespace, keeping the two in sync manually can lead to frustration and data inconsistencies. Fortunately, no-code tools like n8n make this process seamless through automation.
   
   In this article, we’ll explore how an automated n8n workflow efficiently pulls customer data from Shopify, writes it to a Google Sheet, transforms it into a Squarespace-friendly CSV, and supports pagination out of the box.
   
   Let’s break down how this intelligent workflow works.
   
   Overview of the Workflow
   
   This n8n workflow is triggered either manually (using the Manual Trigger node) or via a scheduled trigger (Schedule Trigger). It performs the following steps:
   
   1. Connects to the Shopify API to fetch all customer data.
   2. Handles Shopify’s pagination using a loop and custom code.
   3. Stores or updates the customer data in a Google Sheet.
   4. Extracts the necessary fields.
   5. Converts the dataset to a CSV format compatible with Squarespace’s contact upload template.
   
   Let’s dive deeper into the key stages of this workflow.
   
   Step 1: Trigger and Shopify Customer Fetch
   
   The automation can be started manually or on a defined schedule using one of two trigger nodes:
   - "When clicking ‘Test workflow’" (Manual Trigger)
   - "Schedule Trigger" for automated execution
   
   The 'Get Customers' HTTP request node connects to your Shopify store via its API, specifically querying the endpoint:
   
   https://{your-store}.myshopify.com/admin/api/2025-01/customers.json
   
   It uses query parameters:
   - Limit: 250 (max allowed per request)
   - Fields: id, email, first_name, last_name
   - A dynamic parameter for either "status=any" on the first call, or "page_info" on successive paginated calls
   
   Authentication is handled via a predefined Shopify Access Token credential, ensuring secure access.
   
   Step 2: Pagination Handling with Logic Branching
   
   Shopify’s API uses a link header and the page_info parameter for pagination. The workflow includes several important nodes to handle this:
   
   - Check page_info existence (If node): Verifies if the “Link” header contains rel="next"
   - Extract page_info (Code node): Uses a JavaScript function to parse and extract the next page_info value if it exists
   - Assign page_info parameter (Set node): Prepares the parameter for the next Shopify API call
   - Merge Loop items (Code node): Recursively collects data across all paginated pages, combining them into a single array
   
   This intelligent pagination handling ensures that no customers are missed when the store has more than 250 records.
   
   Step 3: Save Data to Google Sheets
   
   Once all customer records are merged, the "List Customers" node splits the results, and the "Customers Spreadsheet" node stores the information into a predefined Google Sheet.
   
   The workflow appends or updates rows in a format that includes:
   - Email address
   - First name
   - Last name
   - Shopify Customer ID
   
   This is done using Google Sheets' API integration authenticated via OAuth2.
   
   Step 4: Formatting the Data for Squarespace
   
   Since Squarespace requires a specific CSV format for contact imports, the workflow includes two additional nodes:
   
   - Extract customers data (Set node): Prepares the correct column values
   - Convert to Squarespace contacts csv (Convert to File node): Exports the extracted data without a header row into a Squarespace-compatible CSV
   
   Users can simply download this file and upload it directly to Squarespace Contacts for mass imports or subscriber management.
   
   Customizability with Notes
   
   Sticky note nodes embedded within the workflow provide helpful instructions—like replacing the store URL in the Shopify API endpoint or guidelines on how the spreadsheet should be structured. This makes the workflow user-friendly and easy to adapt.
   
   Key Benefits
   
   - No-code: Built entirely in n8n without needing external scripting or manual processes.
   - Scalable: Handles large customer datasets via Shopify’s pagination logic.
   - Cross-platform: Integrates multiple APIs (Shopify, Google Sheets) and outputs for Squarespace.
   - Reusable: Can be triggered on a schedule or run on-demand for one-off exports.
   
   Conclusion
   
   This n8n workflow exemplifies how automated integration can bring efficiency to ecommerce operations. By connecting Shopify, Google Sheets, and Squarespace, store owners and marketers can maintain updated customer data across platforms without lifting a finger.
   
   Whether you're performing weekly exports, syncing customer lists for email campaigns, or maintaining GDPR-compliant contact records, this automation simplifies your process with elegance and power.
   
   Ready to streamline your ecommerce data pipelines? Fire up n8n and customize this workflow to your needs.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.