Build a Python Package Inventory from PyPI

An internal package catalog should connect what developers install with who owns the decision, which versions are approved, and where authoritative project information lives. The PyPI Package Scraper supplies the public metadata layer for exact package names.

Separate source facts from internal policy

Start with a curated list rather than the entire public index.

{"packageNames":["pydantic","typer","rich","orjson","httpx"],"maxResults":5}

Store PyPI fields in a source section: latest version, summary, Python requirement, published dependencies, classifiers, license value, maintainers, and project links. Add internal columns separately for owning team, approved version range, review date, risk tier, and usage guidance. This prevents a publisher's author field from being mistaken for your accountable owner.

Normalize package names according to Python packaging rules in the downstream inventory and preserve the returned official spelling for display. Review missing projects, unexpected source URLs, and material metadata changes. Do not substitute a similarly named package automatically.

License metadata can be a modern expression, legacy text, classifier, or blank. Surface those values but route ambiguous cases to the appropriate compliance process. Likewise, dependency strings include markers and extras; they are not a resolved software bill of materials.

Schedule refreshes and retain previous snapshots for auditability. A good inventory shows the source collection date and project link beside internal decisions. It makes discovery and governance easier while remaining honest about what PyPI metadata can and cannot verify.