Automate LinkedIn Candidate Sourcing with Google X-ray Boolean Search

This n8n workflow revolutionizes LinkedIn candidate sourcing by leveraging GPT-4 to generate precise Boolean search strings from job descriptions or ideal candidate specs. It formats searches like 'site:linkedin.com/in ("Job Title" AND "Skill1")' for optimal Google X-ray results, then iteratively scrapes profiles via HTTP requests, looping through pages until the target number (default 50) is reached. All extracted LinkedIn URLs are stored in a dynamically created Google Sheet for easy review and CRM integration.

Key benefits include massive time savings—replacing manual searches with automated, scalable extraction—and high accuracy from AI-optimized queries. It handles pagination seamlessly, ensuring comprehensive results without user intervention. Perfect for HR teams, recruiters, sales pros generating leads, or agencies scaling talent pipelines.

Use cases span talent acquisition (e.g., sourcing software engineers), sales lead gen (finding decision-makers), and market research. Setup requires only an OpenAI API key; adjust the 'If' node for profile count. This workflow integrates OpenAI, Google Sheets, and HTTP for a robust, no-code solution boosting recruitment efficiency by 10x.