Developer Guide Shows How to Automate Amazon Competitor Research Using Python API

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A technical tutorial published on DEV Community outlines a Python-based system for conducting Amazon seller competitor research using the Pangolinfo API. The guide introduces a five-step IBADM framework — Identify, Baseline, Analyze, Differentiate, and Monitor — to systematically track competing product listings. Author Leo, a technical lead at Pangolinfo, argues that manual competitor research can take three to four hours per competitor and suffers from significant data inaccuracies. The tutorial provides production-ready Python code covering API client setup, keyword searches, product data retrieval, and review analysis. It also references a no-code option via the Amazon Data MCP tool for sellers who prefer to avoid writing code.

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