Can I vibe code Dealavo?

Build a simple price monitoring and dynamic repricing service in Node.js with Express, Supabase, and Playwright Extra Stealth. 

1. DATA MODEL:
- Create tables for 'products' (id, sku, title, shopify_variant_id, min_price, max_price, target_margin),
- 'competitors' (id, product_id, competitor_name, target_url, css_selector_price, last_scraped_price, updated_at),
- 'price_logs' (id, product_id, old_price, new_price, reason, created_at).

2. SCRAPER WORKER:
- Set up a cron-driven background job using BullMQ.
- Use puppeteer-extra with puppeteer-extra-plugin-stealth and a rotating residential proxy pool.
- For each target URL, render the page, extract the numerical price text using the css_selector_price, handle currency symbols, and update 'last_scraped_price'.
- Implement basic retries and alert if a page fails 3 times consecutively.

3. REPRICING ENGINE:
- Logic: Identify the lowest competitor price among active entries for a product.
- Set target price = (lowest_competitor_price - 0.01).
- Apply guardrails: Ensure target price >= min_price and target price <= max_price. If target price is out of bounds, clamp to min_price.
- If target price differs from current price on Shopify, update the variant via Shopify REST API (Admin API PUT /admin/api/2024-01/variants/{id}.json).
- Log the action in 'price_logs'.

4. FAILURE HANDLING:
- If scraped price drops by more than 50% in a single check, flag as anomaly and pause automatic repricing for that SKU until human review.
- Skip scraping if target_url returns non-200 responses.

5. OUT OF SCOPE:
- Complex ML matching, full site crawling, automated CAPTCHA solving services.

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