Roadmap to automated eBay listings · eBay & AI Mastery Academy

Roadmap to automated eBay listings

How I’m Planning to Automate eBay Listings with n8n + Clawdbot

I’ve been selling on eBay for years, and like many resellers I’m hitting a ceiling: creating listings takes too much time. Photos, titles, descriptions, item specifics, pricing, and then actually clicking everything into eBay. It all adds up.

I just saw the hype about Clawdbot and it got me hooked - is this the missing piece I have been dreaming about for years???

So I’m working on a setup where **n8n** and **Clawdbot** handle 80–90% of the listing work for me, starting from nothing but product photos.

### The core idea

- I take 4–6 photos per item and drop them into a folder.

- Each item gets its own subfolder (e.g. `01_Siemens_PLC`, `02_Omron_Sensor` etc.).

- A workflow detects those folders, sends the images to Clawdbot, and Clawdbot:

- Understands what the product is.

- Does price research via eBay APIs.

- Writes title, description, item specifics, and price.

- Calls an automation that creates an **eBay draft listing** with the right images and data.

- I only log into eBay to do a quick sanity check and hit “List”.

### Why n8n + Clawdbot together?

- **Clawdbot** is the “brain”:

- It can see and understand images.

- It can call tools/APIs (through MCP) to talk to eBay, upload photos, and fetch pricing data.

- It’s good at turning messy real‑world input (a handful of item photos) into clean, structured listing data.

- **n8n** is the “orchestrator”:

- It watches the folders where I drop my photos.

- It batches files per item (one folder = one listing).

- It exposes eBay API actions (like “create listing draft”) as tools that Clawdbot can call.

- It logs everything (folder → draft ID → title → price) so I have a clear audit trail.

Clawdbot focuses on understanding and decision‑making; n8n focuses on reliable, repeatable execution.

### What the workflow looks like (high level)

1. **Photo input**

- I shoot 4–6 pictures of an item.

- I move them into a dedicated folder:

- Example: `eBayDrafts/2026-02-01/01_Siemens_PLC/`

- I repeat this for 20 items, so I end up with 20 folders for that “batch”.

2. **Folder watcher + grouping**

- n8n scans the root folder and finds all subfolders.

- For each subfolder, it collects the image files and sends a payload to Clawdbot like:

- `folderName`, `folderPath`, and a list of image paths.

3. **Clawdbot: image understanding + research**

For each item (folder):

- Reads all images and extracts:

- Brand, model, product type, condition.

- Visible specs, labels, and any important markings.

- Uses eBay APIs (via a tool exposed by n8n) to:

- Search for similar items (active + sold).

- Derive a realistic price range.

- Generates structured listing

- eBay title (80 characters, keyword‑rich).

- Description with condition notes and standard language.

- Category ID and item specifics.

- Price and currency.

- Handling time, location, and shipping/return policy references.

4. **Image upload + draft creation**

- Clawdbot sends the image files to an automation that:

- Uploads them to an image endpoint that eBay accepts.

- Gets back image URLs.

- Then Clawdbot calls another action that:

- Creates an **eBay draft listing** using:

- Title, description, category, condition.

- Item specifics, price.

- The image URLs.

End result: a real draft listing in my eBay account for that item.

5. **Logging and review**

- n8n records:

- Which folder became which eBay draft ID.

- The title and price that were used.

- I open Seller Hub, filter by drafts, and quickly review:

- Titles, categories, prices.

- Photos and condition notes.

- Then I either tweak a few details or bulk‑publish.

### Why this matters for scaling

Once this is stable, I can:

- Batch photography: shoot 50–100 items in a single session.

- Drop them into folders and let the system run in the background.

- Spend my time reviewing drafts and sourcing more inventory instead of manually typing listings.

For industrial automation, electronics, or other niche categories where I sell the same brands and item types repeatedly, the AI “learns” the typical structure and gets better over time. The more consistent my photo style and folder naming, the more reliable the automation becomes.

### Safety and control

This setup is intentionally **draft‑only**:

- No direct auto‑publishing.

- Every listing still passes through my eyes before going live.

- I can add checks like:

- “If confidence is low, add ‘REVIEW_NEEDED’ to the title.”

- “If the model number isn’t clearly found, don’t create a draft.”

That way I get the best of both worlds: speed and leverage from automation, plus human judgment where it matters.

I’ll keep you updated when time permits 🙂👍

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