Feed PyPI Package Scraper Data Into Your Pipeline

Need to feed pypi package scraper into your pipeline? Thirdwatch's PyPI Package Scraper turns it into structured rows — the fields you need, ready to export.

Skip the setup: Run this as a ready-to-go task on Apify — pre-loaded with the configuration from this guide.

Why Data-pipeline works

A recurring feed beats a one-off pull — wire the Actor once and let fresh rows land where your tools read them. This guide shows the configuration that pulls pypi package scraper data from PyPI Package Scraper.

How does this compare to the alternatives?

Manual copy-paste works for a handful of rows; dedicated per-site scrapers on other platforms either gate the same data behind sign-in or charge flat monthly fees regardless of usage.

Why this Actor

• Purpose-built for PyPI Package Scraper — no generic crawling config to tune
• Pay-per-result pricing — you pay only for rows that come back
• Structured output ready for JSON/CSV export or API consumption
• No login, cookies, or API keys needed for the public surfaces it reads

How to do it in 3 steps

Step 1: Configure the input

Set the inputs as shown below — packageNames takes the targets, and the optional fields bound the run size.

Step 2: Run the Actor

Run it from the console, the API, or the linked saved task. One dataset row is written per record.

Step 3: Use the output

Every row carries the fields shown in the sample — export as JSON, CSV, or feed it straight into your pipeline.

{
  "packageNames": [
    "requests",
    "pandas",
    "fastapi"
  ],
  "maxReleasesPerPackage": 10,
  "maxResults": 10
}

Each dataset row looks like:

{
  "name": "requests",
  "latest_version": "2.34.2",
  "summary": "Python HTTP for Humans.",
  "author": null,
  "author_email": "Kenneth Reitz <me@kennethreitz.org>",
  "maintainer": null,
  "maintainer_email": "Ian Stapleton Cordasco <graffatcolmingov@gmail.com>, Nate Prewitt <nate.prewitt@gmail.com>",
  "license": "Apache-2.0",
  "requires_python": ">=3.10",
  "dependencies": [
    "charset_normalizer<4,>=2",
    "idna<4,>=2.5",
    "urllib3<3,>=1.26",
    "certifi>=2023.5.7",
    "PySocks!=1.5.7,>=1.5.6; extra == \"socks\"",
    "chardet<8,>=3.0.2; extra == \"use-chardet-on-py3\""
  ],
  "keywords": null,
  "classifiers": [
    "Development Status :: 5 - Production/Stable",
    "Environment :: Web Environment",
    "Intended Audience :: Developers",
    "License :: OSI Approved :: Apache Software License",
    "Natural Language :: English",
    "Operating System :: OS Independent",
    "Programming Language :: Python",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3 :: Only",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
    "Programming Language :: Python :: 3.14",
    "Programming Language :: Python :: 3.15",
    "Programming Language :: Python :: Free Threading :: 2 - Beta",
    "Programming Language :: Python :: Implementation :: CPython",
    "Programming Language :: Python :: Implementation :: PyPy",
    "Topic :: Internet :: WWW/HTTP",
    "Topic :: Software Development :: Libraries"
  ]
}

What to watch for

Rate the targets reasonably — large batches benefit from modest concurrency. Source sites may throttle heavy bursts; retry once and widen filters if a target surface is thin.

Related use cases

• Extract PyPI Package Scraper at Scale
• Monitor PyPI Package Scraper on a Schedule
• Compare PyPI Package Scraper Side by Side
• Export PyPI Package Scraper to CSV
• All Thirdwatch use-case guides

Run the PyPI Package Scraper on Apify Store — pay per result, free to try, no credit card to test.