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PyPI Python Package Updates and Release Radar

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Monitor newly released and updated Python packages, version numbers, descriptions, author links, and project homepages from PyPI in real time.

Pricing

$0.95 / 1,000 results

Rating

0.0

(0)

Developer

Darim Quraishi

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Features

Scrapes real-time RSS feeds for both updated package releases and brand new package submissions.
Separates package names and semantic version numbers cleanly.
Optionally queries the PyPI JSON metadata API for author names, licenses, Python version requirements, and repository homepages.
Operates via public PyPI feeds without requiring API credentials or proxy rotations.
Exports structured records directly to JSON, CSV, Excel, or downstream webhook receivers.

Input parameters

Feed Type: Select between Updated Packages (new versions of existing libraries) or Newly Created Packages (first-time registrations). Default is updates.
Fetch Extended Details: When enabled, looks up author name, license, project homepage, and python requirements via the PyPI API. Default is true.
Maximum Packages: Number of package releases to collect. Default is 50, maximum is 100.

Output dataset fields

Each dataset record contains:

name: Package name registered on PyPI (for example: requests, flask, pydantic).
version: Newly released version string (for example: 2.31.0).
summary: Short project description provided by the package author.
pypiUrl: Permanent direct link to the package on pypi.org.
feedType: Feed monitored (updates or packages).
author: Maintainer or author handle.
license: Stated software license (MIT, Apache-2.0, BSD).
homePage: Project documentation or GitHub repository link.
requiresPython: Python version compatibility constraints.
publishedAt: ISO formatted UTC release timestamp.
scrapedAt: UTC timestamp when the data was extracted.

Use cases

Security supply chain monitoring: Detect typosquatting attempts and suspicious newly registered package names.
Dependency tracking: Monitor releases of critical internal dependencies without polling individual GitHub repos.
Python ecosystem intelligence: Identify emerging libraries, new developer tools, and framework plugins as soon as they are published.
Package analysis: Collect descriptions and release cadence metrics across the Python open-source community.

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