This article provides a complete, practical walkthrough of the Webhook Extractfromfile Process 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 Customer Data Transfer: Convert Squarespace Profiles to Shopify Customers with n8n and Google Sheets
   
   Meta Description:  
   Learn how to use n8n to seamlessly convert Squarespace customer profiles into Shopify-compatible format using Google Sheets. Automate profile imports, enrich customer data, and streamline your Shopify onboarding process.
   
   Keywords:  
   n8n workflow automation, Squarespace profiles, Shopify customers, Google Sheets integration, eCommerce automation, workflow builder, customer data migration, automated CSV processing, webhook automation, Shopify profile import
   
   Third-Party APIs Used:
   - Google Sheets API (via n8n’s Google Sheets node)
   - Shopify (data structure compatibility)
   - Squarespace (assumes exported customer data files)
   
   —
   
   Article:  
   In the ever-evolving world of eCommerce, automation is no longer a luxury—it’s a necessity. For businesses transitioning between platforms or managing customer data across multiple tools, automating data flows can save hours of repetitive work while decreasing the chances of human error.
   
   One such powerful solution comes through a custom n8n workflow designed to streamline the migration of customer data from Squarespace to Shopify by using Google Sheets as an intermediary data hub.
   
   In this article, we’ll break down how this n8n workflow operates, what tools it uses, and how it can be leveraged to transform your customer data pipeline.
   
   Why Automate the Conversion of Customer Profiles?
   
   Squarespace and Shopify have different data structures and export formats, which can make it cumbersome to transfer customer data directly between the two platforms. Before uploading to Shopify, businesses often need to manually clean, reformat, and enrich data—an error-prone and time-consuming process.
   
   This n8n automation serves as a bridge that ingests raw Squarespace customer data (usually exported as a CSV), parses it, enriches the entries with Shopify-compatible fields, and adds them neatly into a Google Sheet formatted for easy Shopify import or further automation via Shopify’s API.
   
   Let’s dive into how this solution works.
   
   Overview of the Workflow
   
   The workflow is built around a key concept: automating the transformation of Squarespace profile data into a Shopify-ready format and organizing it within two main Google Sheets:
   
   - A sheet titled “squarespace_profiles” to log and archive original Squarespace data
   - A sheet called “shopify_template” which holds the transformed, Shopify-compatible records
   
   The process is initiated in one of two ways:
   1. A webhook receives CSV data submissions (automated or manual uploads), or
   2. A manual trigger is initiated for internal processing or testing purposes.
   
   Workflow Steps Explained
   
   1. Webhook Trigger or Manual Start  
   The automation can begin either through a user-uploaded CSV via Webhook or with a manual trigger node. The webhook listens on the path /submit-profiles and accepts POST requests, typically carrying the exported Squarespace customer file.
   
   2. File Extraction  
   The file received through the webhook is captured and parsed using the Extract from File node. This node reads the CSV content and converts it into a structured list of items for further processing.
   
   3. Duplicate Logging in Google Sheets  
   Using the Append Squarespace Profiles node, the raw Squarespace data is logged into the "squarespace_profiles" sheet. This not only helps in maintaining a backup but also serves as a reference for audit or troubleshooting purposes.
   
   4. Data Cleanup and Transformation  
   The workflow proceeds to a Loop Over Items node (Split in Batches), which processes 1,000 records at a time to prevent overloading. Inside this loop, each customer entry is reformatted to match the Shopify data schema.
   
   Here's what happens during transformation:
   - Fields like First Name, Last Name, and Email are mapped directly.
   - Shopify-specific fields such as “Default Address Address1” and “Accepts Email Marketing” are populated or defaulted.
   - Fields like Tags are dynamically set—e.g., customers with a last order date get tagged with “ground-control".
   - Addresses are adjusted to fit Shopify’s country/province code expectations.
   
   5. Final Output to Shopify-Formatted Sheet  
   The formatted data is appended or updated into the "shopify_template" Google Sheet using the Append or Update operation. This sheet becomes a live database of customer records ready for direct Shopify import or to be synced with Shopify using further automation.
   
   What Makes This Workflow Powerful?
   
   1. Scalability  
   By batching data 1,000 records at a time, the system can handle high volumes of customer profiles without hitting quotas or timeout errors.
   
   2. Flexibility  
   Thanks to Google Sheets’ universality, this setup eliminates the need for direct Shopify API integration but remains compatible with it. Users can manually export the final data as CSV or extend the workflow to automatically sync with the Shopify API.
   
   3. No-Code/Low-Code Simplicity  
   n8n makes it simple for non-developers to maintain or tweak this workflow. Updates to mapping logic or custom tagging strategies can be added with a simple UI change rather than backend development.
   
   4. Data Integrity & Traceability  
   By storing both the raw Squarespace data and the transformed Shopify version in separate sheets, businesses can trace back errors, audit imports, or correct corrupt entries without redoing the whole process.
   
   Use Case Scenarios
   
   - A small eCommerce business migrating from Squarespace to Shopify in phases.
   - A marketing team collecting Squarespace form submissions and onboarding customers through Shopify email flows.
   - Agencies managing customer profiles for multiple clients using centralized templates.
   
   Conclusion
   
   This n8n automation workflow exemplifies how powerful and versatile visual automation platforms have become. By blending webhook triggers, file parsing, and data transformation within Google Sheets, this solution creates a smooth, scalable bridge between Squarespace and Shopify.
   
   Ready to automate your customer data pipeline? Start with this workflow and say goodbye to tedious spreadsheet wrangling!
   
   —
   
   Want the full template? You can view the sample spreadsheet and customize your Sheets here:  
   Google Sheets Template: https://docs.google.com/spreadsheets/d/1ZUP7RySMCjQUBAvlZhSE1rOul1FMVHvTSF0QexuV7mQ
   
   Let automation work for you—so you can focus on growing your store.

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.