You are helping me build the following AI agent workflow.

## Goal
Scrape Shoe Products To Shopify: Reads shoe URLs from a sheet, scrapes details via BrowserAct, creates products with variants in Shopify, and notifies you on Slack.

## Specification
- What it does: Get shoe products from external websites into your Shopify store automatically by reading target URLs from Google Sheets. The agent uses BrowserAct to scrape details like prices and images, processes the data with Code nodes, creates products with variants in Shopify, and sends you a confirmation on Slack.
- Trigger: Run manually (Manual · on demand)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - Google Sheets: Input product URLs and names
  - BrowserAct: Scrape product details and images
  - Code: Transform scraped data to JSON
  - Shopify: Create products and variants
  - Slack: Send processing notifications

## Known pitfalls, handle each one explicitly in your implementation
1. BrowserAct may fail if the target site uses heavy anti-bot protections, add a retry mechanism with random delays to handle transient blocks.
2. Image URLs from external sites might be relative paths, ensure your code converts them to absolute HTTPS links before sending to Shopify.
3. Variant creation can fail if attributes like size are missing or null, validate all required fields in the Code node before calling the API.

## Reference implementation
https://n8n.io/workflows/9946 (workflow template)
Fetch and inspect this before building. If it matches my stack, adapt it;
if not, rebuild the pattern with my tools.

## Process requirements
1. Before building: ask me which of the listed tools I actually use and
   what my platform is (n8n / Make / code / other). Do not assume.
2. Adapt the pattern to my answers; do not force the reference stack.
3. Address every pitfall above; tell me how you handled each.
4. Provide a test plan I can run before letting this touch real data.
5. Ask before any step that sends messages, modifies data, or spends money.

Source: https://usecasesforagents.com/use-case/scrape-shoe-products-to-shopify/ via usecasesforagents.com