Can I vibe code Price2Spy?

Build a competitor price monitoring and dynamic re-pricing engine using Node.js, Express, PostgreSQL, Prisma, and Playwright. 1. Data Model: Store products (sku, title, internal_price, min_margin, cost_price), target_competitors (name, url, selector_css, last_price, last_checked_at), and pricing_rules (rule_type: match_min, undercut_fixed, markup_percent, value). 2. Scraping Engine: Create a worker process that takes pending target URLs, launches Playwright with stealth evasions (randomized user-agent, viewport, disabled webdriver flags), fetches page content, extracts price via fallback CSS/XPath selectors, and records price_history. 3. Anti-Failure & Validation: Validate extracted strings to ensure correct numeric parsing. If a target site returns a 403/429 status or price extraction fails 3 consecutive times, mark target status as 'broken_selector' and alert via webhook. 4. Dynamic Repricer: After a successful crawl, execute matching pricing rules against the internal product. Calculate new_price = clamp(competitor_price - discount, cost_price * (1 + min_margin), max_price). 5. Store Integration: If calculated price differs from store price, invoke the Shopify Admin REST API (PUT /admin/api/2024-01/variants/{id}.json) to update variant price. Log all actions in a reprice_audit table. UI: Simple Tailwind tabular view displaying product catalog, competitor match status, historical chart, and manually triggering immediate scrape jobs. Out of scope: native proxy rotation infrastructure (pass proxy URLs via env vars), full browser cluster management.

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