LeadFlow AI.

Automated leads, zero manual research.

Businesses that rely on local clients — dental clinics, law firms, restaurants, home services — spend hours every week manually searching for potential prospects on Google Maps, copying details into spreadsheets, and checking for duplicates. This repetitive process wastes time, misses leads, and doesn't scale.

LeadFlow AI solves this by building a fully automated lead-generation pipeline. Using n8n as the workflow engine, Apify as the scraping backbone, and Google Sheets as the structured data store, the system runs on a daily schedule without any human intervention.

Every day at 8:00 AM, an n8n Schedule Trigger fires and sends the configured search parameters — industry keywords and geographic area — to Apify's Google Maps Scraper. The scraper returns structured local business data, which then flows through a controlled processing pipeline.

A Limit node caps how many records are processed per run, while a Loop Over Items node iterates through each lead one at a time. This sequential approach keeps the workflow reliable even at scale and makes failures easy to isolate.

Each lead is validated before storage: the system checks whether the business has a website, a phone number, or both. Leads without usable contact information are silently discarded. Qualified leads are then written to Google Sheets, where duplicate handling ensures the same business is never stored twice — existing records are updated instead of creating redundant entries.

Retry logic protects both the Apify scraper and Google Sheets writer from transient failures, while a Wait node adds rate-limit protection between operations. If one Google Sheets write fails, the error is caught and the workflow continues processing the remaining leads.