We are looking for an experienced data crawling team to develop a fully automated system that collects public data from Instagram, YouTube, and X (Twitter), analyzes user interests, and sends personalized messages/comments through multiple managed accounts. Core Requirements: Social media crawler that extracts public comments, usernames, and profile-level signals. AI-driven interest scoring and personalization logic. Automated DM and comment sender with message variations and human-like timing. Multi-account architecture (10–100 accounts) using anti-detect environments such as GoLogin/Multilogin. Mobile fingerprinting, proxy configuration, and safe warm-up plans. Rate-limit management and behavior simulation. End-to-end flow automation via Make.com (Crawl → Filter/AI → Messaging). Logging and data output to Google Sheets or Airtable. Deliverables include the full pipeline, automation logic, account infrastructure, and scalable workflow setup. Only apply if you have hands-on experience with anti-detect browsers, social media scraping, and automation at scale.