πŸ“Š Analyze property maintenance costs with ScrapeGraphAI and budget planning

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Description

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

πŸ”— Nodes Used

Schedule Trigger

πŸ“₯ Import

Download workflow.json and import into n8n: Workflow menu β†’ Import from File

πŸ“– Importing guide Β· πŸ”‘ Credential setup