Automate Lead Generation From Public Data Reports

Transforms recurring public data sources like building permits into callable leads ready for outbound sales. Industries including construction and home services publish regular reports with contact details, but inconsistent formats and missing columns prevent sales teams from using them. This workflow extracts, cleans, and loads those leads into a CRM on schedule so reps have a ready-made call list of buyers who have already committed to a purchase decision.

1. n8n runs on a schedule and collects new public data reports across tracked regions, extracting raw rows from files in formats.
2. OpenAI restructures each row into consistent contact fields (name, phone, location, record type) regardless of source format variations.
3. Rows without a usable phone number are dropped, then cleaned records are written to Google Sheets for human audit before CRM delivery.
4. Remaining leads are loaded into GoHighLevel as contacts, tagged by record type and location, and routed into the correct sales pipeline. Output: a list of callable, routed leads ready for immediate outreach.

Sales reps start their week with a prioritized call list of 1,500+ leads drawn from buyers who have already committed to a purchase.

• n8n workflow automation platform: handles scheduling, extraction, OpenAI calls, and CRM writes as connected nodes.
• OpenAI API key: used to restructure inconsistent source rows into standard contact fields.
• GoHighLevel API access: required to create contacts, apply tags by record type and location, and route leads into pipelines.
• Google Sheets: staging layer where each cycle's cleaned rows are held for audit before CRM delivery.
• Custom extraction path for each data source: because public data reports rarely share a common format, each new source or region requires its own extraction configuration.

Phone number requirements discard rows with missing contact details, so lead volume varies with source data quality and cannot be guaranteed. Each new source or region requires additional build work to add an extraction path. Source formats change without warning, requiring ongoing monitoring to catch silent parsing failures. Public data availability does not guarantee calling legality; the business remains responsible for Do Not Call list screening and compliance with calling and privacy regulations. The pipeline delivers volume and structure but does not score or qualify leads.