Analyze Property Maintenance Costs with ScrapeGraphAI and Budget Planning

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

How it works

This workflow automatically analyzes property maintenance costs by scraping contractor websites and provides comprehensive budget planning and recommendations.

Key Steps

Scheduled Trigger - Runs weekly to update maintenance cost data from multiple sources. Multi-Source Scraping - Uses ScrapeGraphAI to extract service data from plumbing, electrical, and HVAC contractor websites. Cost Analysis - JavaScript nodes process and categorize services by price level and urgency. Service Comparison - Compares providers within each category to find best-rated and most cost-effective options. Budget Planning - Creates annual budget with quarterly breakdown and service scheduling recommendations. Property Manager Alerts - Formats comprehensive reports with budget summaries and actionable recommendations.

Set up steps

Setup time: 10-15 minutes

Configure ScrapeGraphAI credentials - Add your ScrapeGraphAI API key for web scraping. Customize contractor websites - Update the URLs in the scraping nodes to target specific local contractor directories. Adjust schedule frequency - Modify the trigger timing based on how often you want cost updates. Review budget parameters - Customize the budget planning logic in the JavaScript nodes if needed. Test the workflow - Run manually first to ensure all scraping and analysis nodes work correctly.

Technologies Used

ScrapeGraphAI** - For extracting structured data from contractor websites JavaScript Code Nodes** - For data processing, cost analysis, and budget planning Schedule Trigger** - For automated weekly execution JSON Data Processing** - For structured data handling and analysis