This n8n workflow automates the process of gathering, analyzing, and optimizing maintenance costs for property management. It starts with a scheduled weekly trigger, which initiates data scraping from multiple contractor websites for plumbing, electrical, and HVAC services using the ScrapeGraphAI nodes. The fetched data includes service details, costs, ratings, and contact information. Next, the Cost Analyzer node processes this data to calculate average costs, categorize services by price level, and assess urgency scores. The Service Comparer node then compares providers within each service category, highlighting the best-rated, most cost-effective, and high-value options.

Following analysis, the Budget Planner creates a comprehensive annual maintenance budget, dividing costs into quarterly budgets and recommending service schedules and cost-saving strategies based on urgency and priority. Lastly, the Property Manager Alert node formats a detailed report, including budget summaries, service priorities, provider recommendations, and cost-saving tips, which can be used to inform property maintenance decisions or send alerts to property managers. This workflow is ideal for property managers aiming to automate cost monitoring, optimize maintenance spending, and improve decision-making in property upkeep.