Extract federal contract leads by scraping SAM.gov & USASpending with Python

Extract federal contract leads by scraping SAM.gov & USASpending with Python targets a $4.8B = 80,000 organizations x $60K ACV (global procurement-intelligence buyers including large contractors, consultancies, and govtech teams) total addressable market with medium saturation and a year-over-year growth rate of 8% CAGR for procurement-intelligence and govtech data services.

Key trends driving demand: API policy tightening -- public APIs are increasingly rate-limited or require keys, pushing buyers toward third-party aggregation.; AI-enabled parsing -- transformer NER and embedding-based matching make entity resolution, duplication removal, and opportunity clustering far more accurate.; Small-business set-asides -- higher attention to federal contracts among SMBs increases demand for discoverable, actionable feeds.; Cloud scraping maturity -- serverless, headless-browser orchestration and IP/identity tooling reduce operational cost/time to run large crawls..