Can I vibecode Import.io?

Build a targeted, locally-hosted personal substitute for Import.io focusing on enterprise-grade web data extraction and transformation workflows. Use exactly this stack: Next.js 15, TypeScript, PostgreSQL (using Prisma or Drizzle ORM), and BullMQ. Start from an empty repository and develop a single-user, private application tailored to heavy web scraping tasks without requiring cloud scale.

Your primary objective is to implement a robust, reliable web data extraction pipeline. The app must include:
1. **No-Code Data Extraction Interface:** Provide a point-and-click or selector-based UI allowing users to visually or manually specify data extraction rules for lists, text, images, and links from target URLs. It should simulate an intelligent structure detection system.
2. **Advanced Crawling Engine:** Build a backend crawler capable of handling multiple URLs concurrently. Incorporate dynamic rate limiting, polite delays, and an automatic retry mechanism. You must use BullMQ to manage these long-running jobs, ensuring that failures in one page do not crash the entire batch.
3. **Data Transformation & Preparation:** Introduce an intermediary step after extraction where users can define rules to clean or normalize data (e.g., regex replacement, removing currency symbols from prices, or trimming whitespace) before final storage.
4. **Automation and Scheduling:** Include a basic cron-like scheduling feature to allow workflows to run repeatedly at defined intervals.
5. **Data Delivery:** The core loop is only complete when data is exported. Implement robust export options to CSV, JSON, and a simulated webhook delivery system.

Make the application strictly single-user and private. Never implement third-party analytics, tracking, or mandatory remote telemetry. Put every secret and external credential (like proxy configurations, if supported) in `.env` and provide a `.env.example`.

Design a clean, polished interface that clearly displays empty states, loading indicators, validation errors, and success/failure states for job executions. Provide a manual 'replay' button for failed jobs. Validate all untrusted input and never log private file contents or secrets. Deliberately exclude enterprise features like OAuth app verification, massive cluster-based execution, and hundreds of maintained integrations. 

Write focused unit tests for the data transformation logic and the core data model. Include at least one end-to-end smoke test that runs the entire scraping, transformation, and export loop. Create a comprehensive README with setup instructions, architecture overview, permissions, data backup procedures, and scripts for installing, building, and running the app locally.