This project is an automated pipeline designed to identify, extract, and enrich high-quality B2B leads using a combination of search automation, data scraping, and AI-powered analysis.

Tools & Technologies Used

• SerpAPI – For extracting structured search results from Google at scale
• Google Search – Primary source for discovering target businesses and websites
• Gemini – For intelligent data extraction, classification, and enrichment
• Python (for orchestration & automation)
• CSV / Database (for storing leads)

How It Works (Workflow)

1. Lead Discovery

• Use Google Search queries (e.g., “SaaS companies in India”, “manufacturing companies in Texas”)
• Fetch results programmatically using SerpAPI

2. Data Extraction

• Company names
• Website URLs
• Contact pages / LinkedIn profiles

3. AI Processing (Gemini)

• Identify business type (B2B relevance)
• Extract emails, phone numbers, and key contacts
• Summarize company offerings
• Filter out irrelevant leads

4. Lead Enrichment

• Industry classification
• Company size (if available)
• Location
• Decision-maker insights

5. Data Cleaning & Structuring

• Remove duplicates
• Validate emails/websites
• Store structured data in CSV or database

Key Features

• Automated lead generation pipeline
• Scalable search-based discovery
• AI-powered filtering & enrichment
• High-quality, targeted B2B leads
• Minimal manual effort

Use Cases

• Sales prospecting
• Cold email campaigns
• Market research
• Startup outreach
• Agency client acquisition