Tax Data Scraper

Project Media / Video Placeholder

The Challenge

B2B outreach lists sourced from public registries are shallow — company name, registered address, and industry code. Converting these into workable leads requires manually cross-referencing LinkedIn, company websites, and contact databases to find decision-maker emails, a process that does not scale.

The Solution

Built a Python pipeline that scrapes public tax and business registration records, then enriches each entry by querying a contact data API and running a lightweight scraper against company domains to surface executive names and email patterns. Results are deduplicated, scored by data completeness, and exported to a structured CSV ready for outreach tooling.