## Step 0: Module & Schema Research **1. Etsy App (Make‑maintained, Verified)** – **Docs:** [https://apps.make.com/etsy](https://apps.make.com/etsy) ([apps.make.com][1]) – **Triggers:** * Watch a Listing * Watch Active Listings * Watch Receipts * Watch Transactions * Watch Account Ledger Entries – **Actions:** * Create a Listing * Update a Listing * Delete a Listing * Upload Listing Image * Submit Tracking Info * Update Inventory – **Searches:** * List Listings * Get Listing * List Payments * Retrieve Products & Offerings **2. HTTP “Make an API Call” Built‑in App** – **Docs:** [https://apps.make.com/http](https://apps.make.com/http) ([apps.make.com][2]) – **Use:** For any Etsy API endpoints not yet covered by the Etsy app (e.g., file uploads via V3 API). **3. Blueprint (Scenario JSON) Format** – **Overview:** Make.com scenarios can be exported/imported as JSON blueprints via the three‑dot “Export Blueprint” menu in the Scenario editor ([community.make.com][3]) – **Example Repo:** [https://github.com/felores/make-blueprints](https://github.com/felores/make-blueprints) ([github.com][4]) – **Key Schema Elements:** * `connections`: array of connection config objects * `modules`: array of step objects, each with `module`, `connection`, `parameters`, `position`, `type` * `description`, `name`, and optional `error handlers` * See Make Help “Export and import scenarios” for full field definitions. --- ## Step 1: Complete Automation Workflow 1. **Trigger: New Winning‑Product Idea Found (Module: RSS > Watch RSS Feed)** ↓ 2. **Action 1: Extract Product Data (Module: Text Parser – built‑in)** • Transform RSS item into JSON with fields `title`, `description`, `price_estimate` ↓ 3. **Action 2: Validate Demand (Module: HTTP > Make an API Call)** • Call competitor‑analysis API: `POST https://api.trends.com/demand` with `{ "query": "{{title}}" }` • Map response `demand_score` ↓ 4. **Condition: `demand_score >= 70`?** → **Yes:** 4.1 **Action: Generate Design Brief (Module: OpenAI – AI Text: gpt-o4-mini)** • Prompt: “Create a bulleted brief for a handmade {{title}}…” ↓ 4.2 **Action: Create Product Listing Draft (Module: Etsy > Create a Listing)** • Map `title`, `description` (from 4.1), `price`, `quantity=10`, `tags` ↓ 4.3 **Action: Upload Listing Image (Module: Etsy > Upload Listing Image)** • Map `listing_id` from 4.2 and `image_url` from design asset storage ↓ 4.4 **Action: Add Digital File (Module: HTTP > Make an API Call)** • Call Etsy V3 file‑upload endpoint to attach PDF/design file → **No:** 4.5 **Action: Log Low Demand (Module: Google Sheets > Add a Row)** • Append `{title, demand_score, timestamp}` to “Low Demand” sheet ↓ 5. **Action: Notify Team (Module: Slack > Send Channel Message)** • Post summary of new drafts created and low‑demand items --- ## Step 2: Module Settings Below are the key settings/inputs for each module: 1. **RSS > Watch RSS Feed** * **Feed URL:** `https://competitor-ideas.com/feed.xml` * **Polling Interval:** 15 min 2. **Text Parser > Parse RSS Item** * **Input:** `{{trigger.rss}}` * **Pattern:** ```json { "title": "{{rss.title}}", "description": "{{rss.description}}", "link": "{{rss.link}}" } ``` 3. **HTTP > Make an API Call (Demand Analysis)** * **Method:** POST * **URL:** `https://api.trends.com/demand` * **Headers:** `Content-Type: application/json` * **Body:** ```json { "query": "{{bundle.title}}" } ``` * **Parse Response:** Map `response.demand_score` 4. **Router / Condition** * **Expression:** `{{bundle.demand_score}} >= 70` 5. **OpenAI (gpt-o4-mini) > Generate Design Brief** * **Model:** gpt-o4-mini * **Prompt:** ``` You are a product design assistant. Given the product concept "{{bundle.title}}", create a concise bulleted brief covering design style, materials, and target audience. ``` 6. **Etsy > Create a Listing** * **Connection:** MyEtsyAccount * **Title:** `{{1.title}}` * **Description:** `{{5.generated_text}}` * **Price:** `{{1.price_estimate}}` * **Quantity:** 10 * **Tags:** `["handmade", "{{1.title | split:" " | first}}"]` 7. **Etsy > Upload Listing Image** * **Listing ID:** `{{6.id}}` * **Image URL:** `{{asset_storage.image_url}}` 8. **HTTP > Make an API Call (Attach File)** * **Method:** POST * **URL:** `https://openapi.etsy.com/v3/application/listings/{{6.id}}/files` * **Headers:** * `x-api-key: {{connection.client_id}}` * `Authorization: Bearer {{connection.access_token}}` * **Body (form‑data):** * `file` = `{{asset_storage.pdf_file}}` 9. **Google Sheets > Add a Row** * **Spreadsheet ID:** `1AbC…XYZ` * **Sheet Name:** `Low Demand` * **Row Values:** ``` [ "{{bundle.title}}", "{{bundle.demand_score}}", "{{now}}" ] ``` 10. **Slack > Send Channel Message** * **Channel:** `#product-automation` * **Message:** ``` New Drafts Created: {{parse json of step 6 output}} Low‑Demand Items Logged: {{bundle.title}} (score: {{bundle.demand_score}}) ``` --- This scenario fully automates product research, validation, creation, and notification—using the Make.com Etsy modules, HTTP calls for extended API operations, and AI for content generation. [1]: https://apps.make.com/etsy "Etsy - Apps Documentation " [2]: https://apps.make.com/etsy?utm_source=chatgpt.com "Etsy - Apps Documentation - Make" [3]: https://community.make.com/t/how-do-i-back-up-my-scenarios-on-make/1634?utm_source=chatgpt.com "How do I back up my scenarios on Make? - Make Community" [4]: https://github.com/felores/make-blueprints?utm_source=chatgpt.com "Make.com workflows as JSON blueprints to import in your Make scenarios"