Automated Job Relevance Filtering and Database Updating

This n8n workflow automates the process of filtering job postings for AI automation suitability, verifying details, and updating a Google Sheets database accordingly. It starts with a webhook trigger that receives job listings from external sources like LinkedIn or Indeed. The workflow then filters these jobs based on specific criteria, such as relevance (using an OpenAI model to analyze whether the job is suitable for automation) and job details (like company size and website presence). It checks for duplicate entries in a Google Sheet before appending new relevant jobs. Additionally, it retrieves company information and decision-maker details using Tavily and other APIs to enrich the data. This workflow helps agencies or businesses automatically identify and record suitable job opportunities, refining recruitment or lead generation efforts efficiently.