🐍 PyPI Python Packages & Release Intelligence Scraper

Extract rich structured metadata, latest release history, author information, licenses, dependencies, classifiers, and project URLs directly from the official Python Package Index (PyPI) in bulk.

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🥊 Why This Actor Beats the Competition

Feature	🐍 This PyPI Scraper	🐢 Traditional HTML Scrapers	🐌 Manual Inspection
Speed	150+ packages / min (Direct JSON)	5–10 pages / min (Puppeteer)	Slow manual lookup
Pricing	$1.00 / 1,000 packages (PPR)	High hourly compute bills	High labor cost
Data Depth	Releases, dependencies, wheels, links	Often misses raw dependencies	Incomplete notes
Platform Usage	FREE (Zero compute charges)	Heavy RAM & CPU billable	N/A
Reliability	100% (Official JSON registry)	Fragile DOM selectors break	Human error prone

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🛠️ Step-by-Step: How to Use

Method 1: Apify Console (No-Code UI)

1. Click Try for free on Apify Console.
2. Enter target package names in the Python Package Names field (e.g. requests, fastapi, pydantic, langchain).
3. Set Max Releases (default: 10).
4. Click Start to run the actor and export to JSON, CSV, or Excel.

Method 2: Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
    "packages": ["fastapi", "uvicorn", "pydantic"],
    "maxReleases": 5
}
run = client.actor("litezero/pypi-packages-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["name"], item["version"], item["license"])

Method 3: Node.js SDK

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/pypi-packages-scraper').call({
    packages: ['fastapi', 'uvicorn', 'pydantic'],
    maxReleases: 5,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

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📥 Input Parameters

Parameter	Type	Default	Description
packages	Array of strings	["requests", "fastapi", "pydantic"]	Python package names to inspect.
maxReleases	Integer	10	Number of past releases to include.

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📤 Output Data Dictionary & Sample

{
  "name": "fastapi",
  "version": "0.115.0",
  "summary": "FastAPI framework, high performance, easy to learn, fast to code, ready for production",
  "author": "Sebastián Ramírez",
  "authorEmail": "tiangolo@gmail.com",
  "license": "MIT",
  "homePage": "https://fastapi.tiangolo.com/",
  "requiresPython": ">=3.8",
  "dependencies": [
    "starlette>=0.40.0,<0.42.0",
    "pydantic>=1.7.4,!=1.8,!=1.8.1,!=2.0.0,!=2.0.1,!=2.1.0,<3.0.0",
    "typing-extensions>=4.8.0"
  ],
  "classifiers": [
    "Development Status :: 4 - Beta",
    "Framework :: FastAPI",
    "Intended Audience :: Developers",
    "License :: OSI Approved :: MIT License"
  ],
  "totalReleases": 84,
  "pypiUrl": "https://pypi.org/project/fastapi/",
  "scrapedAt": "2026-10-04T05:30:00.000Z"
}

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💡 Top Use Cases

1. Software Dependency Auditing: Rapidly audit third-party open source licenses and outdated dependencies in your codebase.
2. AI & ML Ecosystem Tracking: Track trending libraries in PyTorch, LangChain, Transformers, and LLM tooling.
3. Cybersecurity Vulnerability Scanning: Build threat intelligence monitors checking for unexpected dependency changes or package typosquatting.