End-to-End B2B Lead Generation
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