This article provides a complete, practical walkthrough of the Webhook Graphql Automate 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 Theme Updates with Campaign Images from Baserow Using n8n
   
   Meta Description:  
   Learn how to automate Shopify theme updates with campaign images from Baserow using n8n's powerful no-code workflow automation. This guide walks through a complete setup using GraphQL and REST API calls to Shopify.
   
   Keywords:  
   n8n, Shopify API, Shopify GraphQL, Shopify REST API, Automation, Theme customization, Liquid templates, Baserow, Webhook automation, Workflow
   
   Third-Party APIs Used:
   
   - Shopify Admin GraphQL API
   - Shopify Admin REST API
   - Baserow API (via webhook)
   
   Article:
   
   In today’s fast-paced eCommerce environment, automation is key to saving time, boosting productivity, and minimizing human error. When it comes to Shopify—the leading eCommerce platform—updating themes and content like promotional banners or campaign assets can quickly become tedious, especially if done manually. That’s where low-code platforms like n8n come in.
   
   In this article, we’ll break down an n8n workflow that automates Shopify theme updates using campaign image data sourced from Baserow, an open-source Airtable alternative. This smart integration leverages both Shopify’s GraphQL and REST APIs to upload images and inject them into a Liquid file used by a Shopify theme.
   
   Let’s walk through how this works.
   
   Overview of the Workflow
   
   The n8n workflow involves several critical components:
   
   1. A webhook triggered by Baserow when campaign data is updated.
   2. A check mechanism that ensures only meaningful and active updates trigger the rest of the flow.
   3. A GraphQL request to upload an image to Shopify.
   4. A REST API call to write that image into a campaign.liquid template snippet in the Shopify theme.
   
   This efficient pipeline ensures your Shopify storefront always shows the latest campaign image with minimal manual effort.
   
   1. Trigger: Webhook from Baserow
   
   The automation begins when Baserow sends a webhook via HTTP POST to an n8n webhook node named “Call from Baserow.” The data includes details such as campaign name, whether it's active, and uploaded images.
   
   Baserow sends two key objects in the body payload:
   
   - items: The new version of the row.
   - old_items: The old version of the row for comparison.
   
   2. Conditional Logic: Check Node
   
   Next, the input flows into the “Check” node—an If node that evaluates whether:
   
   - The campaign was recently modified (more than 0.1 minutes ago),
   - The campaign is marked as “Active”,
   - A campaign image exists.
   
   This validation ensures only authorized and meaningful changes proceed, while others are discarded using the “No Operation, do nothing” node.
   
   3. Image Upload: Shopify GraphQL Mutation
   
   If the conditions are met, the next step performs a GraphQL mutation to the Shopify Admin API. This mutation uploads the campaign image from Baserow:
   
   ```graphql
   mutation fileCreate($files: [FileCreateInput!]!) {
     fileCreate(files: $files) {
       files {
         id
       }
     }
   }
   ```
   
   Along with this is the "variables" payload that includes `originalSource` (the image URL), `alt` text (campaign name), and the filename for tracking.
   
   The endpoint dynamically formats the Shopify shop URL using values set in a “Set values here!” node, allowing for easier configuration per store.
   
   4. Asset Update: REST API Call to Save campaign.liquid
   
   After the image is successfully uploaded, the workflow makes a PUT request to the Shopify Admin REST API to save a new Liquid file snippet, `campaign.liquid`.
   
   This file contains:
   
   ```liquid
   <img src="{{ 'IMAGE' | file_img_url: 'grande'}}">
   ```
   
   The workflow intelligently replaces the placeholder `"IMAGE"` with the actual Shopify-hosted filename from the uploaded image using regex string replacements. Special characters in the string are also escaped to prevent syntax issues in the JSON payload.
   
   This way, the campaign image becomes instantly usable in a Shopify storefront, embedded anywhere the snippet `campaign.liquid` is included.
   
   What Makes This Workflow Special?
   
   🛠 Fully customizable:  
   The “Set values here!” node allows you to modify the Shopify store subdomain, theme ID, and filenames, enabling you to adapt the workflow for multiple stores or campaigns easily.
   
   ⚡ Minimal human intervention:  
   It’s no longer necessary for store managers or developers to manually upload an image to the theme files and reference them in Liquid templates.
   
   🔁 Event-Driven:  
   The workflow only runs when triggered by Baserow updates, eliminating unnecessary API calls.
   
   🌐 GraphQL and REST synergy:  
   Because the n8n Shopify node doesn’t support image or snippet uploads out-of-the-box, the workflow smartly works around this limitation by executing custom GraphQL and REST API calls.
   
   Final Thoughts
   
   This elegant integration between Baserow, n8n, and Shopify demonstrates how modern no-code tools can empower teams and businesses to automate tedious tasks that used to require manual labor or developer resources.
   
   Whether you’re a small business managing seasonal campaigns or an agency handling multiple storefronts, this workflow offers a scalable and maintainable way to keep your frontend Shopify themes dynamically updated with clean and efficient logic.
   
   🔗 Resources:
   
   - Shopify Admin GraphQL API: https://shopify.dev/docs/api/admin-graphql
   - Shopify Admin REST API: https://shopify.dev/docs/api/admin-rest
   - Baserow Webhook Docs: https://baserow.io/docs
   - n8n Workflow Automation: https://n8n.io
   
   By combining the low-code muscle of n8n with the flexibility of Shopify’s APIs, you can unlock unprecedented automation possibilities—no middleware or latency-laden SaaS subscriptions required.
   
   Stay tuned for more automation guides, and happy building!

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.