odoo shopify integration

---
name: odoo-shopify-integration
description: "Connect Odoo with Shopify: sync products, inventory, orders, and customers using the Shopify API and Odoo's external API or connector modules."
risk: critical
source: community
date_added: "2026-09-04"
---

# Odoo ↔ Shopify Integration

## Overview

This skill guides you through integrating Odoo with Shopify — syncing your product catalog, real-time inventory levels, incoming orders, and customer data. It covers both using the official Odoo Shopify connector (Enterprise) and building a custom integration via Shopify REST + Odoo XMLRPC APIs.

## When to Use This Skill

- Selling on Shopify while managing inventory in Odoo.
- Automatically creating Odoo sales orders from Shopify purchases.
- Keeping Odoo stock levels in sync with Shopify product availability.
- Mapping Shopify product variants to Odoo product templates.

## How It Works

1. **Activate**: Mention `@odoo-shopify-integration` and describe your sync scenario.
2. **Design**: Receive the data flow architecture and field mapping.
3. **Build**: Get code snippets for the Shopify webhook receiver and Odoo API caller.

## Data Flow Architecture

```
SHOPIFY                          ODOO
--------                         ----
Product Catalog <──────sync──────  Product Templates + Variants
Inventory Level <──────sync──────  Stock Quants (real-time)
New Order       ───────push──────> Sale Order (auto-confirmed)
Customer        ───────push──────> res.partner (created if new)
Fulfillment     <──────push──────  Delivery Order validated
```

## Examples

### Example 1: Push an Odoo Sale Order for a Shopify Order (Python)

```python
import xmlrpc.client, requests

# Odoo connection
odoo_url = "https://myodoo.example.com"
db, uid, pwd = "my_db", 2, "api_key"
models = xmlrpc.client.ServerProxy(f"{odoo_url}/xmlrpc/2/object")

def create_odoo_order_from_shopify(shopify_order):
    # Find or create customer
    partner = models.execute_kw(db, uid, pwd, 'res.partner', 'search_read',
        [[['email', '=', shopify_order['customer']['email']]]],
        {'fields': ['id'], 'limit': 1}
    )
    partner_id = partner[0]['id'] if partner else models.execute_kw(
        db, uid, pwd, 'res.partner', 'create', [{
            'name': shopify_order['customer']['first_name'] + ' ' + shopify_order['customer']['last_name'],
            'email': shopify_order['customer']['email'],
        }]
    )

    # Create Sale Order
    order_id = models.execute_kw(db, uid, pwd, 'sale.order', 'create', [{
        'partner_id': partner_id,
        'client_order_ref': f"Shopify #{shopify_order['order_number']}",
        'order_line': [(0, 0, {
            'product_id': get_odoo_product_id(line['sku']),
            'product_uom_qty': line['quantity'],
            'price_unit': float(line['price']),
        }) for line in shopify_order['line_items']],
    }])
    return order_id

def get_odoo_product_id(sku):
    result = models.execute_kw(db, uid, pwd, 'product.product', 'search_read',
        [[['default_code', '=', sku]]], {'fields': ['id'], 'limit': 1})
    return result[0]['id'] if result else False
```

### Example 2: Shopify Webhook for Real-Time Orders

```python
from flask import Flask, request
app = Flask(__name__)

@app.route('/webhook/shopify/orders', methods=['POST'])
def shopify_order_webhook():
    shopify_order = request.json
    order_id = create_odoo_order_from_shopify(shopify_order)
    return {"odoo_order_id": order_id}, 200
```

## Best Practices

- ✅ **Do:** Use Shopify's **webhook system** for real-time order sync instead of polling.
- ✅ **Do:** Match products using **SKU / Internal Reference** as the unique key between both systems.
- ✅ **Do:** Validate Shopify webhook HMAC signatures before processing any payload.
- ❌ **Don't:** Sync inventory from both systems simultaneously without a "master system" — pick one as the source of truth.
- ❌ **Don't:** Use Shopify product IDs as the key — use SKUs which are stable across platforms.

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.