This article provides a complete, practical walkthrough of the Shopify Filter Create Triggered 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:  
   Automate Product Sync Between Shopify and Odoo Using n8n
   
   Meta Description:  
   Learn how to automate the synchronization of new Shopify products into Odoo using an n8n workflow. Discover a no-code approach to streamline eCommerce operations.
   
   Keywords:  
   Shopify, Odoo, n8n workflow, product synchronization, eCommerce automation, API integration, Shopify Odoo sync, no-code automation, Shopify webhook, product management
   
   Third-Party APIs Used:
   
   - Shopify API (via n8n Shopify Trigger node)
   - Odoo API (via n8n Odoo node)
   
   Article:
   
   In the evolving world of eCommerce, seamless synchronization between online stores and back-office systems like Enterprise Resource Planning (ERP) software is crucial. For businesses running their storefront on Shopify and managing backend operations using Odoo, maintaining data consistency can be time-consuming and error-prone if done manually. Fortunately, with no-code tools like n8n, you can automate this process.
   
   This article breaks down an n8n workflow designed to automatically sync new products created on Shopify directly into Odoo's product catalog. Whether you're an eCommerce manager or a process automation enthusiast, this use case demonstrates the power of automation in streamlining business operations.
   
   Overview: Bridging Shopify and Odoo
   
   The primary goal of this workflow is to react every time a new product is created in Shopify and ensure its availability in the Odoo system without manual input. The workflow ensures no duplicate entries are made and only new products are created on Odoo, leveraging checks and conditions for accuracy.
   
   Let’s take a walkthrough of this n8n workflow and see how the automation unfolds from trigger to export:
   
   Step 1: Shopify Product Creation Trigger
   
   The workflow starts with the "Shopify Trigger" node configured to listen to the products/create event. This webhook activates whenever a new product is added to Shopify. It collects all the new product data, such as:
   
   - Title
   - Description
   - Variants (including price and product ID)
   
   This data becomes the foundation for the synchronization process.
   
   Step 2: Product Existence Check in Odoo
   
   Before creating a new item in Odoo, the workflow must first ensure that the product doesn’t already exist. This is handled by the "Odoo6" node, configured to query the Odoo API using a custom search filter. It looks for an existing product in the product.product model by matching the Shopify product_id to Odoo’s default_code field—a unique identifier.
   
   If a product record matching the Shopify product already exists, the automation should halt to avoid duplication.
   
   Step 3: Conditional Logic with JS Code
   
   Next, the "Code" node processes the results from the Odoo6 lookup. Using JavaScript, it checks whether the resulting object contains data:
   
   ```javascript
   var product_detail = $('Shopify Trigger').first().json;
   var existing_product = $('Odoo6').item.json;
   return {
     existing: existing_product.id ? true : false,
     product_detail: product_detail
   };
   ```
   
   This output helps determine whether the product is already in Odoo and passes along relevant product details that will be used for creation, if necessary.
   
   Step 4: Filtering Non-existent Products
   
   The "Filter2" node reads the output of the Code node and proceeds only if the existing flag is false (meaning the product doesn’t exist in Odoo). This conditional logic ensures that only new products reach the creation step.
   
   Step 5: Creating a New Product in Odoo
   
   Finally, the "Odoo7" node executes the product creation in Odoo. It uses the product details obtained from Shopify and structures them into an appropriate format for the Odoo API. The fields mapped include:
   
   - name → Shopify product title
   - default_code → Unique Shopify product ID
   - description → Product description (HTML)
   - list_price → Price from the first variant
   
   Using these fields ensures that Odoo gets a comprehensive entry for the new product.
   
   Benefits of This Integration Workflow
   
   - No Manual Work: Avoid the need for manual data entry every time a new product is added to your Shopify store.
   - Improved Accuracy: Ensures accurate, real-time data flow between systems.
   - Duplicate Prevention: Integrated checks maintain data integrity in the Odoo database.
   - Scalable: Easily adapt to support more fields or additional related objects such as stock levels, tags, or product images.
   
   Conclusion
   
   This n8n workflow highlights the advantages of using visual automation platforms to connect disparate systems like Shopify and Odoo. For businesses striving to streamline operations and reduce overhead, adopting such workflows not only saves hours of manual work but also improves operational agility.
   
   As eCommerce continues its rapid evolution, tools like n8n empower even non-developers to build powerful integrations. This Shopify-to-Odoo sync is just one of many possibilities in the growing movement toward no-code automation.
   
   Whether you’re extending existing systems or integrating new ones, consider how automation can elevate your business processes—and let n8n be your platform of choice.
   
   Ready to build it? Dive into your n8n instance, connect your Shopify and Odoo credentials, and adapt this blueprint to your operational 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.