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

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

Set up steps

Setup time: 10-15 minutes

1. Configure ScrapeGraphAI credentials - Add your ScrapeGraphAI API key for web scraping.
2. Customize contractor websites - Update the URLs in the scraping nodes to target specific local contractor directories.
3. Adjust schedule frequency - Modify the trigger timing based on how often you want cost updates.
4. Review budget parameters - Customize the budget planning logic in the JavaScript nodes if needed.
5. 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