--- title: "Auto-Generate Product Descriptions for WooCommerce with n8n" description: "Build an n8n workflow that reads WooCommerce products, writes AI descriptions, and updates your store automatically. Credits included — no OpenAI key needed." canonical: https://agentroost.app/en/blog/woocommerce-product-descriptions-n8n-ai date: 2026-06-10T04:00:00Z --- [Canonical URL](https://agentroost.app/en/blog/woocommerce-product-descriptions-n8n-ai) If you sell 200+ products and each one still says "Lorem ipsum" where the description should be, you already know the problem. Writing fresh copy by hand does not scale. Hiring a copywriter for bulk work is expensive and slow. And pasting product specs into ChatGPT one at a time is just hand-work wearing a different hat. This guide shows you how to build a single n8n workflow that fixes all three problems at once: it reads every WooCommerce product whose description is empty, hands the specs to an AI node that generates polished, SEO-aware copy, and writes the result straight back to WooCommerce via the REST API. Schedule it to run nightly and it keeps up with new stock automatically. --- ## What the Workflow Does, End-to-End 1. **Fetch products** from WooCommerce that have no description. 2. **Loop** over each product. 3. **Build a prompt** from the product's name, SKU, categories, and attributes. 4. **Call the AI/LLM node** to generate the description. 5. **Update the product** in WooCommerce with the new text. 6. **Log results** (optional Slack or email notification when the batch finishes). Total node count: around 7. Build time: 20–30 minutes. --- ## Step-by-Step Build ### 1. Schedule Trigger Add a **Schedule Trigger** node. A daily run at 03:00 server time is a safe default — your store is quiet and the workflow has time to process a large catalogue without hitting API rate limits. ``` Trigger At: 03:00 Timezone: UTC (or your store's timezone) ``` For a one-off bulk backfill, swap this for a **Manual Trigger** to run it immediately. ### 2. HTTP Request — Get Products Without Descriptions Use an **HTTP Request** node to call the WooCommerce REST API. ``` Method: GET URL: https://yourstore.com/wp-json/wc/v3/products Auth: Basic (WooCommerce consumer key / secret) Query parameters: per_page 100 page 1 ← you will handle pagination in the loop status publish ``` > **Tip:** The WooCommerce API returns `description` as an HTML string. An empty description comes back as `""`. Filter inside n8n with an **IF** node immediately after this call: `{{ $json.description === "" }}` — only items that match proceed. If you have more than 100 products you need to paginate. Add a **Set** node before the HTTP Request to hold the current `page` counter, and a **Loop Over Items / IF** combination that increments `page` and loops back until the response returns fewer than 100 items. ### 3. Split In Batches Wire the filtered products into a **Split In Batches** node (batch size: 5–10). This prevents you from hammering the LLM endpoint or the WooCommerce API with hundreds of simultaneous requests. ### 4. Set — Build the Prompt Add a **Set** node to construct the prompt you will pass to the AI node. Reference n8n's expression editor to pull fields from the current item: ``` prompt: "You are a product copywriter for an online store. Write a 2–3 sentence product description for the following item. Make it SEO-friendly, avoid superlatives, and end with a benefit for the buyer. Product name: {{ $json.name }} SKU: {{ $json.sku }} Categories: {{ $json.categories.map(c => c.name).join(', ') }} Attributes: {{ $json.attributes.map(a => a.name + ': ' + a.options.join('/') ).join(' | ') }} Return only the description text, no headings, no quotes." ``` Adjust the tone instruction to match your brand (formal, casual, technical, lifestyle). ### 5. AI / LLM Node — Generate the Description Add the **AI / Chat Model** node (sometimes labelled "Basic LLM Chain" or "AI Agent" depending on your n8n version). - **Model:** pick any model from the dropdown. For bulk product copy, a mid-tier model (e.g. `google/gemini-flash-1.5` or `meta-llama/llama-3.1-8b-instruct`) gives a good balance of quality and speed. You can switch models without touching anything else in the workflow. - **Prompt:** `{{ $json.prompt }}` (the value set in step 4). - **System message:** you can move the role instruction ("You are a product copywriter…") here and keep the prompt itself shorter. - **Max tokens:** 300 is enough for 2–3 sentences; set a ceiling so you do not burn credits on runaway output. No API key setup. On AgentRoost the node is already wired to your included credits. ### 6. HTTP Request — Update the Product in WooCommerce Add a second **HTTP Request** node: ``` Method: PUT URL: https://yourstore.com/wp-json/wc/v3/products/{{ $json.id }} Auth: Basic (same WooCommerce credentials) Body (JSON): { "description": "{{ $('AI / Chat Model').item.json.text }}" } ``` Reference the product `id` from the original item (use **Merge** or sticky references if the AI node drops upstream context — pin the item via a **Set** node right after step 3 to carry `id` through the chain). ### 7. Notification (Optional) After the batch loop finishes, a single **Slack** or **Send Email** node summarising how many products were updated costs one extra node and keeps the workflow auditable. --- ## Prompt Tuning Tips | Goal | Adjustment | |---|---| | SEO-first copy | Add "Include the product name and primary category in the first sentence." | | Formal/technical | Replace "copywriter" with "technical writer" in the system message | | Shorter output | "Write exactly 1 sentence." or reduce max tokens to 100 | | Structured HTML | Ask for `

` tags; WooCommerce renders HTML in the description field | | Avoid repetition across variants | Pass the parent product name and variant SKU separately | Run the workflow on 5–10 test products first (add an IF node that matches only a test category), read the output, then tweak the prompt before processing the full catalogue. --- ## How to Run This on AgentRoost Here is the actual path from zero to a running workflow: 1. **Sign up** at [agentroost.app](https://agentroost.app) (email/password, or one click with Google, Microsoft, or Discord). 2. **Create a workspace** — choose the **n8n** framework, give it a name. 3. In about two minutes your private n8n editor opens at `https://.agentroost.app`. It is your instance; you own the data and the workflows. 4. **Build the workflow** above. When you drop the AI/LLM node, the credentials dropdown already shows a working connection — AI credits are included in your plan, so there is nothing to configure. 5. **Add WooCommerce credentials** (Basic Auth with your consumer key/secret) in n8n's Credentials panel. That is the only external secret you need. 6. Activate the workflow. The Schedule Trigger handles everything from there. Pricing starts at **$19.99/mo all-in** — compute, LLM credits, SSL, public subdomain, everything. No separate OpenAI bill. No "bring your own API key" friction. 14-day money-back guarantee if it does not fit. [Compare plans](/en/pricing) · [See the n8n workspace](/en/agents/n8n) --- ## Pitfalls to Avoid **Rate limits on the WooCommerce side.** The REST API is synchronous PHP. Batch size 5 with a 1-second delay between batches (use a **Wait** node set to 1s inside the loop) keeps you well under typical shared-host limits. **HTML vs. plain text.** `description` accepts HTML. If you ask the AI for plain text and WooCommerce renders it fine — but if you later want `