Package Registry Stats: npm, PyPI, crates.io, RubyGems, Packagist & NuGet

Bulk metadata and download counts for open-source packages across 6 registries in one schema: latest version, release date, license, repository, dependency count, maintainers count, monthly downloads, deprecation flag.

Why this actor

• Six registries, one normalized row; competitors cover one registry each.
• Pay only for results: $1.00 per 1,000 packages, no start fee, failed lookups are free.
• Robust: automatic retries with exponential backoff, respects Retry-After, per-item error rows instead of crashed runs.
• Clean, flat JSON/CSV/Excel output ready for Google Sheets, Make, Zapier, n8n, Clay, or the Apify API.

Use cases

• Dependency audits and license inventories
• DevRel and OSS adoption tracking (downloads over time on a schedule)
• Lead gen for dev-tool vendors: which packages are rising
• Detect abandoned/deprecated dependencies

Input

Field	Type	Description
ecosystem	string	Which package registry.
packages	array	Exact package names (npm scoped names like @scope/pkg work; Packagist uses vendor/name).
maxItems	integer	0 = no limit. Caps cost.

Example input:

{
  "ecosystem": "npm",
  "packages": [
    "react",
    "express",
    "this-package-does-not-exist-zz9"
  ]
}

Output

Each dataset item looks like this (real sample from a test run, long fields trimmed):

{
  "ecosystem": "npm",
  "name": "react",
  "version": "19.3.0",
  "description": "React is a JavaScript library for building user interfaces.",
  "license": "MIT",
  "homepage": "https://react.dev/",
  "repository": "git+https://github.com/react/react.git",
  "latestReleaseAt": "2026-09-09T17:21:30.071Z",
  "createdAt": "2011-10-26T17:46:21.942Z",
  "versionsCount": 2971,
  "dependenciesCount": 0,
  "maintainersCount": 2,
  "keywords": [
    "react"
  ],
  "downloadsLastMonth": 833052763,
  "deprecated": false,
  "scrapedAt": "2026-10-14T16:21:17+00:00"
}

Rows that could not be processed contain an error field and are not charged.

Pricing

Pay-per-event: $0.001 per package (= $1.00 / 1,000). Use Max results to cap spend. Apify's free plan credit covers thousands of results per month.

Integrations & API

Run on a schedule in Apify Console, call via the Apify API / Python & JS clients, or connect to Make, Zapier, n8n, Google Sheets, Slack and webhooks. Works as a tool for AI agents via Apify MCP.

FAQ

Is this an official tool? No. It is an independent actor and is not affiliated with, sponsored or endorsed by the data source or any trademark owner named here.

Is it legal? The actor only reads publicly available data from public endpoints, without logins, and does not bypass paywalls or access controls. You are responsible for using the data in line with applicable laws (e.g. GDPR) and the source sites' terms.

Something broke? Open an issue in the Issues tab; we typically respond within 24 hours and ship fixes fast.