The Challenge
A platform needed to aggregate, enrich, and serve data on over 300,000 artist profiles with live lead generation capabilities, real-time search, and continuous data freshness. Traditional approaches to data aggregation were too slow, too expensive, and produced stale results.
The scale required intelligent automation: agents that could navigate rate limits, handle failures gracefully, enrich data from multiple sources, and maintain quality at scale.
What We Built
Eprecisio designed and built the entire platform from scratch:
- Agentic Scraping System: Custom-built autonomous agents that navigate multiple data sources, handle rate limiting and CAPTCHAs, and operate 24/7 with minimal human intervention.
- Data Enrichment Pipeline: Multi-stage pipeline that cross-references profile data across platforms, validates contact information, and scores lead quality automatically.
- Real-Time Search: PostgreSQL-backed full-text search with filters for genre, location, follower count, engagement rate, and contact availability, returning results in milliseconds.
- Production Platform: Next.js frontend with a clean, fast interface for browsing, filtering, and exporting leads. Built for non-technical users.
- AWS Infrastructure: Horizontally scalable architecture on AWS with automated scaling based on scraping load and search traffic.
Results
- 300,000+ profiles scraped, enriched, and served in production
- Agentic architecture handles failures, retries, and rate limits autonomously
- Real-time lead generation with continuously updated data
- Full platform delivery , from scraper to production UI, built end-to-end by Eprecisio
The Impact
The platform transformed a manual, spreadsheet-based process into an automated, scalable data product. What previously took a team of researchers weeks to compile is now generated automatically and kept fresh by autonomous agents.