---

name: product-spec-bulk-fetch description: Fetch structured FF&E product specs from a list of URLs. Extracts name, brand, dimensions, materials, price, and images into a standardized schedule. allowed-tools:

• Read
• Write
• Edit
• Bash
• Glob
• Grep
• WebFetch
• AskUserQuestion
• mcp__google__sheets_values_get
• mcp__google__sheets_values_update
• mcp__google__sheets_spreadsheet_get

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/product-spec-bulk-fetch — Bulk Product Spec Fetcher

Extract structured FF&E data from a list of product page URLs. Outputs a standardized schedule ready for design specs, procurement, or import into Canoa.

Input

The user provides product URLs in one of these ways:

1. Inline list — URLs pasted directly in the message (one per line, or comma-separated)
2. File path — A .txt, .csv, or .md file containing URLs (one per line)
3. Google Sheet column — A spreadsheet ID + column containing URLs to re-fetch

If the input format is unclear, ask.

Output Schema

Products are written to the master Google Sheet — the same 33-column schema used by Norma Jean, /product-research, and all other data-management skills. When writing to CSV, use the same column order.

Read ../../schema/product-schema.md (relative to this SKILL.md) for the full column reference, field formats, and category vocabulary. Read ../../schema/sheet-conventions.md for CRUD patterns with MCP tools.

Skill-specific column values:

• AF (Status): saved
• AG (Source): bulk-fetch
• AD (Tags): Blank (set by user later)
• AE (Notes): Blank
• S (Selected Color/Finish): Blank (unknown from URL)

Extraction Process

For each URL:

1. Fetch the page using WebFetch with the prompt below
2. Parse the response into the schema fields
3. Flag issues — missing price, missing dimensions, non-product page
4. Continue to next URL — never stop the batch on a single failure

WebFetch Extraction Prompt

Use this prompt (or close variant) for each URL:

Extract structured product/furniture specification data from this page. Return a JSON object with these exact fields:

- product_name: Full product name (Title Case)
- description: Short description or tagline (1-2 sentences), or null
- sku: Product ID, SKU, model number, or catalog number, or null
- brand: Manufacturer name (Title Case)
- designer: Designer or design studio name if attributed, or null
- vendor: The retailer/website selling the product (may differ from brand), or null
- collection: Product line or collection name, or null
- category: One of: Chair, Table, Sofa, Bed, Light, Storage, Desk, Shelving, Rug, Mirror, Accessory, Tabletop, Kitchen, Bath, Window, Door, Outdoor Furniture, Textile, Acoustic, Planter, Partition, Other
- width: Numeric width value only (no units), or null
- depth: Numeric depth value only (no units), or null
- height: Numeric height value only (no units), or null
- seat_height: Numeric seat height for seating products, or null
- unit: "in", "cm", or "mm" — whichever the page uses
- weight: Weight as stated with unit (e.g. "45 lbs"), or null
- materials: Comma-separated list of primary materials
- colors_finishes: Comma-separated list of ALL available colors or finish options
- list_price: Numeric price (no currency symbol, no commas), or null
- sale_price: Discounted/sale price if shown, or null
- currency: "USD", "EUR", "GBP", etc.
- lead_time: Delivery estimate as stated, or null
- warranty: Warranty info as stated, or null
- certifications: Comma-separated certifications (GREENGUARD, FSC, BIFMA, etc.), or null
- com_col: "COM", "COL", "COM/COL" if mentioned, or null
- indoor_outdoor: "Indoor", "Outdoor", or "Indoor/Outdoor" if specified, or null
- image_url: URL of the primary product image (largest/hero image)

If this is NOT a product page, return: {"error": "not_a_product_page"}
If dimensions use a combined format like "32 x 24 x 30 in", split them into W x D x H.
If price says "Contact for pricing" or similar, set price to null.
Return ONLY the JSON object, no other text.

Workflow

Step 1: Parse input

Extract all URLs from the user's input. Report count: "Found N product URLs."

Step 2: Fetch in parallel

Process URLs using WebFetch. Use parallel tool calls — fetch up to 5 URLs simultaneously to maximize speed. Report progress after each batch.

Step 3: Compile results

Build a results table. Group into:

• Successful — all key fields extracted
• Partial — some fields missing (still include in output)
• Failed — non-product page or fetch error

Step 4: Present results

Show a summary table in markdown with all successful + partial results. Flag any issues:

• "Price not found" for trade/dealer sites
• "Dimensions not found" if missing
• "Failed to fetch" for errors

Step 5: Ask about output format

Ask the user: "Where should I save this?" Options:

• Master Google Sheet — append rows to the shared product library (same sheet used by Norma Jean). Ask for spreadsheet ID if not already known.
• Local CSV — save to a specified path (default: ~/Documents/Work-Docs/ffe-fetch-YYYY-MM-DD.csv)
• Just the table — leave as markdown in the conversation

Step 6: Save

Write the output in the chosen format using the 33-column master schema. For Google Sheets, use mcp__google__sheets_values_update to append rows. Set Clipped At to current timestamp and Source to bulk-fetch.

CSV Format

When saving to CSV, use the CSV header from ../../schema/product-schema.md.

Edge Cases

• Redirects or blocked pages: Note the URL as failed, move on
• Multiple products on one page: Extract only the primary/featured product
• Non-English pages: Extract data as-is, note the language. The cleanup skill handles translation.
• Vendor sites requiring login: Will likely fail — note as "Login required" and move on
• Duplicate URLs in input: Skip duplicates, note them

Error Reporting

After the batch completes, always report:

Fetched: X/Y successful, Z partial, W failed

List any failed URLs with the reason.