Expert Automation Developer for B2B Lead Generation

Looking for an expert automation developer to build a daily B2B lead generation pipeline. The system will scrape a state legal database, run the data through a CRM, and generate leads. The ideal candidate will have experience in automation, data scraping, and CRM systems. Responsibilities include developing a scalable and efficient lead generation system and ensuring data accuracy and compliance with legal standards. Project Overview: Build a daily automated B2B pipeline using n8n.io, Python/Node.js browser automation, and the OpenAI API to extract public case records, filter high-value targets, and auto-draft outreach. Core Workflow Requirements: 1. Scraper Node: Create a headless scraper (Playwright/Puppeteer) targeting the California DWC EAMS portal. The script must navigate a dynamic session, bypass an upfront "Requestor Info" identification form to unlock searches, and implement a global catch handler to re-authenticate if a 15-minute inactivity timeout triggers. 2. n8n Orchestration: Configure a daily cron trigger to execute the scraper and pass clean data tables (Case ID, Employer, Carrier, Defense Rep) to an LLM node. 3. ChatGPT AI Triage: Pass data to OpenAI (GPT-4o/Claude). The agent must check the "Carrier" column. If the field is blank or lists "UEBTF/Uninsured", it must dynamically draft a professional advisory letter using our template rules. If a traditional insurer is listed, discard the row. 4. Review Dashboard: Append filtered records and AI drafts directly into Google Sheets, setting a default column status to "Pending Review" for final human oversight.