Leadder
AI-powered leads scraper and automated grading engine
Key Achievements
Developed a scalable lead extraction engine using Node.js and Puppeteer, aggregating data from 50+ sources with 90% extraction accuracy
Integrated AI-driven lead scoring models to rank prospects, improving conversion readiness and prioritization efficiency by 65%
Optimized scraping pipelines with concurrency and retry mechanisms, reducing extraction time by 40% while improving reliability
The Challenge
Lead generation is often slow and highly error-prone, relying on manual data entries and basic heuristics. The client needed a system that could automatically crawl fifty plus diverse directories and rank prospects by conversion probability, with self-healing capabilities against bot mitigations.
Strategy & Implementation
We built a scalable Node.js Puppeteer scraping pipeline. To bypass bot protection and handle site changes, we created an abstraction layer that structures extracted details. We then fed this data into an AI classification model that assigns scores based on criteria like tech stack signals, size, and social activity.
Impact & Results
Improved scraper extraction throughput by 40% with self-healing retries. Boosted sales conversion rates by 65% by prioritizing top-tier AI-scored leads.