Automated Business Lead Discovery & Enrichment System
An end-to-end AI-powered lead generation solution that automatically discovers businesses from Google Maps based on location, category, or keywords, extracts comprehensive business data, enriches it with website information, and seamlessly integrates qualified leads into CRM systems and Excel spreadsheets for immediate sales action.
Challenges
Businesses seeking new clients face significant obstacles in lead generation:
- Manual Research is Time-Consuming: Sales teams spend 15-20+ hours weekly manually searching Google Maps, copying business details, and organizing data
- Incomplete Data: Google Maps provides basic information, but lacks email addresses, decision-maker contacts, and detailed business insights needed for effective outreach
- Data Scattered Across Platforms: Business information exists in multiple places—Google Maps, websites, social media—requiring tedious cross-referencing
- Inconsistent Data Quality: Manual entry leads to errors, duplicates, and outdated information polluting CRM systems
- Difficulty Targeting Niche Markets: Local businesses (HVAC, rental companies, specialty services) are rarely on LinkedIn or traditional B2B databases, making them hard to find
- Scalability Limitations: Manual processes cannot scale—doubling lead volume requires doubling staff hours
Solution
Leaping Logic developed an intelligent automation workflow using n8n, Google Places API, and AI enrichment:
Step 1: Intelligent Business Discovery
- User inputs target location (city, state, ZIP code, or radius) and business category/keywords
- System queries Google Places API to retrieve all matching businesses within the specified area
- Automated pagination handles API limits to capture comprehensive results
Step 2: Data Extraction & Cleaning
- Extracts core business data: name, address, phone number, website URL, ratings, reviews, business hours, and place ID
- Removes duplicates using intelligent matching algorithms
- Validates phone numbers and addresses for accuracy
Step 3: AI-Powered Enrichment
- Scrapes business websites to extract additional contact information
- Uses AI (OpenAI/Claude/Gemini) to identify and verify email addresses that match the business domain
- Extracts social media profiles (LinkedIn, Facebook, Instagram) from website content
- Analyzes website content to understand business services, size indicators, and decision-maker names
Step 4: Lead Qualification & Scoring
- AI analyzes collected data to assign lead quality scores
- Prioritizes leads based on review ratings, business age, online presence strength, and service alignment
- Flags high-potential leads for immediate outreach
Step 5: CRM & Export Integration
- Qualified leads automatically pushed to CRM (HubSpot, Salesforce, or custom systems)
- Generates formatted Excel/CSV exports for offline use
- Creates segmented lists based on location, category, or lead score
Technology Stack
- n8n workflow automation
- Google Places API / Maps API
- Web scraping nodes (HTTP Request, Apify)
- OpenAI/Claude/Gemini for intelligent data extraction
- Google Sheets / Excel integration
- CRM webhooks and API connections
Results
| Metric | Before | After | Improvement |
|---|---|---|---|
| Time spent on lead research | 20+ hours/week | 1-2 hours/week | 90% reduction |
| Leads generated per week | 50-100 (manual) | 500-1,000+ | 10x increase |
| Data completeness (with emails) | 30-40% | 85-95% | 2.5x improvement |
| Cost per lead | $2-5 (staff time) | $0.02-0.20 | 95% cost reduction |
| Lead-to-contact conversion | 15% | 35% | 133% improvement |
| CRM data accuracy | 70% | 98% | 40% improvement |
Business Impact
- Sales teams focus on selling instead of researching
- Consistent pipeline of qualified leads every week
- Improved targeting of niche local businesses previously unreachable
- Faster market expansion into new geographic territories
- ROI achieved within first month of implementation