PyPI Package Scraper — Metadata, Deps & Downloads

Look up Python packages on PyPI — or discover newly-added / recently-updated ones — and get rich, structured metadata: version, summary, author & maintainer emails, license, dependencies, Python requirement, project links and download counts. Clean JSON/CSV/Excel.

Keyless, no anti-bot — built for dependency auditing, supply-chain research, package intelligence and maintainer lead generation.

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What this Actor does

Give it package names (and/or turn on discovery) and for each package it returns:

• Core — name, latest version, summary, Python requirement, license, version count.
• Contacts — author/maintainer name and emails (parsed from PyPI metadata) — great for maintainer outreach.
• Dependencies — the full requires_dist list and a dependency count.
• Popularity — downloads in the last day / week / month (via pypistats).
• Links — homepage, project URLs (docs, source, funding…) and the PyPI page.

Discovery: optionally pull the newest packages and recently-updated packages straight from PyPI's feeds, each enriched with full metadata.

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Why use it

• Audit your dependencies. Drop in a requirements.txt list and get license, Python requirement, dependencies and maintainer for each — perfect for compliance and supply-chain review.
• Maintainer lead-gen. Author/maintainer emails for developer outreach, sponsorships and devrel.
• Package research & comparison. Downloads, versions, dependencies and metadata side by side.
• Track the ecosystem. Discover brand-new and freshly-updated packages as they land.
• Keyless and fast. No API key, no anti-bot — public PyPI + pypistats endpoints.

The Python sibling of an npm package scraper — same dev-tools + lead-gen value, for the PyPI ecosystem.

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Who it's for

• Security & platform teams auditing dependencies and supply chain.
• Developer-tool & devrel teams doing maintainer outreach and ecosystem tracking.
• Analysts & researchers studying the Python package ecosystem.
• Investors & BD spotting fast-growing packages and projects.

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Quick start

Run it in the console (no code)

1. In Package names, add one per line:

   requests
   django
   fastapi
   numpy
   

2. (Optional) enable Discover recently-updated or Discover newest packages.

3. Keep Include download counts on, click Start, and export as JSON, CSV, Excel or HTML.

Leave everything empty for a demo.

Run it via API (Python)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "packages": ["requests", "django", "fastapi"],
    "includeDownloads": True,
}

run = client.actor("YOUR_USERNAME/pypi-package-scraper").call(run_input=run_input)

for p in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{p['package']} {p['version']} — {p['downloadsLastMonth']}/mo — {p['emails']}")

Run it via API (JavaScript)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('YOUR_USERNAME/pypi-package-scraper').call({
    packages: ['requests'],
    recentlyUpdated: true,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((p) => console.log(`${p.package}: ${p.dependencyCount} deps, ${p.downloadsLastMonth}/mo`));

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Input

Field	Type	Description
Package names	array	PyPI package names, one per line. Empty + no discovery = demo.
Discover recently-updated	boolean	Pull recently-updated packages from PyPI's RSS feed.
Discover newest	boolean	Pull brand-new packages from PyPI's RSS feed.
Include download counts	boolean	Add last day/week/month downloads (pypistats). Default on.
Max packages	integer	Total cap across list + discovery. Default 200.
Speed (parallel lookups)	integer	Packages at once. Default 8.
Proxy configuration	object	Apify Proxy. On by default.

Note on search: PyPI has no public keyword-search API, so this Actor works by package name plus feed-based discovery (newest / recently-updated). To audit a project, paste its dependency list directly.

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Output

One record per package:

{
  "package": "Flask",
  "version": "3.1.3",
  "summary": "A simple framework for building complex web applications.",
  "authorName": "",
  "emails": "contact@palletsprojects.com",
  "license": "BSD-3-Clause",
  "requiresPython": ">=3.9",
  "homePage": "https://flask.palletsprojects.com/",
  "projectUrls": "Documentation: ...; Source: ...; Funding: ...",
  "keywords": "",
  "classifiers": "Programming Language :: Python :: 3; License :: OSI Approved; ...",
  "dependencies": "blinker>=1.9.0; click>=8.1.3; itsdangerous>=2.2.0; jinja2>=3.1.2; ...",
  "dependencyCount": "6",
  "versionCount": "63",
  "downloadsLastDay": "4800000",
  "downloadsLastWeek": "31000000",
  "downloadsLastMonth": "136480505",
  "yanked": "false",
  "pypiUrl": "https://pypi.org/project/Flask/",
  "scrapedAt": "2026-10-10T12:00:00.000Z"
}

Field	Description
package / version / summary	Core identity.
authorName / emails	Author/maintainer name and parsed emails (maintainer leads).
license / requiresPython	License and Python requirement.
dependencies / dependencyCount	requires_dist list and count.
versionCount	Number of released versions.
downloadsLastDay/Week/Month	Download counts from pypistats.
homePage / projectUrls / pypiUrl	Links.
classifiers / keywords	Key trove classifiers and keywords.
yanked	Whether the latest version is yanked.
scrapedAt	ISO timestamp.

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Tips & notes

• Dependency audit. Paste a requirements.txt package list to get license + Python + deps + maintainer for every one.
• Emails vary. PyPI shows author/maintainer emails when the package provides them (~2/3 of packages); the Actor parses them from the metadata.
• Discovery enrichment. recentlyUpdated / newestPackages feed the queue, then each package is fully enriched.
• Downloads. Counts come from pypistats; brand-new packages may not have stats yet.
• Dedupe. The Actor de-dupes names across your list + discovery automatically.

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Frequently asked questions

Do I need an API key? No — public PyPI JSON API + pypistats.

Can I search PyPI by keyword? PyPI has no public keyword-search API. This Actor works by package name plus feed-based discovery (newest / recently-updated). For a project audit, paste its dependency list.

Does it include download counts? Yes — last day/week/month from pypistats (when available).

Can I get maintainer contacts? Yes — author/maintainer emails are parsed from PyPI metadata when present.

Is this good for supply-chain / security? Yes — license, Python requirement, dependencies and version history are exactly what dependency and supply-chain reviews need.

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Export & integrate

Results are available as JSON, CSV, Excel, HTML and via the Apify API. Push to Google Sheets, a webhook, Make, Zapier or your database — and schedule runs to track packages over time.

Data from PyPI and pypistats.