Inbound
Createdbashirk
Generates leads for inbound sales efforts by scraping and enriching data from multiple sources.
About
Inbound is a production-grade lead generation system built with the MCP Python SDK, Crawl4AI, and AsyncIO for high-concurrency operations. It implements a full lead lifecycle from discovery to enrichment, featuring UUID-based lead tracking, multi-source data aggregation, smart caching strategies, and enterprise-grade error handling. It allows users to generate and enrich leads from sources like Google CSE, LinkedIn, Hunter.io, and Clearbit with features such as data caching, rate limiting and asynchronous task management.
Key Features
- UUID-based lead tracking
- Smart caching strategies with Redis
- Real-time monitoring with Prometheus metrics
- 4 GitHub stars
- Lead generation via Google CSE and Crawl4AI
- Data enrichment using Hunter.io, Clearbit, and LinkedIn scraping
Use Cases
- Monitoring lead status and tracking progress through the sales pipeline
- Automated lead generation for sales teams
- Enriching existing lead data with contact information and company details