Auto-Like LinkedIn Posts with GPT-4o, Phantombuster & SharePoint

This workflow automates LinkedIn post liking for recruiters, B2B marketers, and thought leaders. It runs hourly: generates random AI/BPA keywords via GPT-4o, scrapes recent posts with Phantombuster using rotating session cookies, selects a random unliked post (checked via SharePoint CSV), appends company ID if needed, creates a CSV for the autolike agent, likes the post, and logs it to avoid duplicates. Wait nodes ensure ~400 likes/day safely.

Benefits include increased visibility without manual effort, compliance with LinkedIn limits via throttling and deduplication, and customization for niches by editing prompts. It saves hours of scrolling and liking, enhancing personal or company profiles organically.

Ideal for B2B growth: recruiters find talent signals, marketers build networks, leaders amplify thought leadership. Requires Phantombuster Growth, OpenAI GPT-4o, SharePoint, and n8n 1.33+. Setup involves credentials, CSV files in SharePoint, and company ID config.