How I Turned the SAM.gov Public Bulk Dataset Into a Searchable Contractor Database

Working with public government datasets often sounds straightforward until you actually try to turn them into something useful. That was my experience with the SAM.gov public bulk dataset . The data is valuable because it contains a large amount of publicly available information about registered entities and federal contractors. But if your goal is something practical — for example, building a targeted contractor list by NAICS code, geography, small-business status, CAGE availability or other criteria — the workflow can become surprisingly technical. You can absolutely solve the problem with Python, SQL, a database import, the SAM.gov API, or a commercial GovCon platform. But I wanted a workflow that was: local repeatable easy to filter export-friendly independent of API limits usable by non-developers So I built the SAM.gov Public Contractor & NAICS Database Compiler . The problem A researcher might want to answer questions like: Which active contractors operate under NAICS 541512? Which small businesses are registered in a particular state? Which entities have a CAGE code? Which records belong to particular SBA classifications? Which registrations include websites? Which contractors match particular PSC codes? Which results should be treated as individual registrations versus unique entities? The raw public dataset contains the information, but turning it into a clean research database usually requires some kind of processing layer. For developers, that might mean writing a reusable script. For analysts, it might mean Power Query or a database import. For less technical users, it can mean relying on third-party platforms. I wanted to reduce that setup. Local processing instead of an API-first workflow One of the main design decisions was to process the official public bulk extract locally. That means the workflow does not depend on repeatedly calling an external API just to filter data that already exists in a downloadable public dataset. The basic process is: SAM