I'm looking for a highly skilled backend developer to help me transform a manual lead profiling process into an automated workflow. I currently use a semi-manual workflow to generate psychological profiles of leads based on their social media behavior (primarily LinkedIn and Facebook), using screenshots, PDFs, and AI prompts. I want to turn this process into a scalable data ingestion + enrichment + AI orchestration system using custom code and tools like n8n. What I Want You to Build (Automated Agent System) This project will involve turning the above into an automated multi-stage system, ideally built using n8n, Python, and modern browser automation tools like Playwright or Puppeteer. INPUT Watch a Google Sheet or upload CSV with lead data (including name + LinkedIn URL) DATA COLLECTION STAGE Auto-open LinkedIn profiles using browser automation (handle login, mimic human behavior) Automatically click “show all skills,” “see all posts,” “see all comments,” etc. Export full LinkedIn page to PDF or structured HTML Search Full Name + Meta on Google → Find Facebook + Instagram pages Scrape & screenshot full Facebook and Instagram profiles → Save as PDF Save all data to folder structure: /Leads/Firstname_Lastname/linkedin.pdf, facebook.pdf, instagram.pdf AI PROCESSING STAGE Send PDFs (or extracted text + image context) to a GPT API endpoint with my prewritten prompt Receive structured psychological profile output (JSON or Markdown) Write final output into a Notion database via Notion API or Google Sheet
Keyword: Data Processing
Price: $20.0
Data Scraping Data Mining Python n8n
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