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Compare PyPI Package Scraper Side by Side

Compare PyPI Package Scraper Side by Side — a practical guide with a ready-to-run configuration and structured output.

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Sep 16, 2026 · 3 min read · 551 words
View the Apify scraper →

Need to compare pypi package scraper across targets? 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 Compare side by side works

Put the same fields side by side for every target — the deltas are where decisions happen. 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

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

Frequently asked questions

What does PyPI Package Scraper return?

One dataset row per result — with the fields shown in the sample output. Export as JSON, CSV, or Excel.

How do I control run size?

`packageNames` selects the targets and the max/limit fields bound how many rows come back. Start small, then scale.

Can I run this on a schedule?

Yes — save it as a task and attach a schedule in Apify Console for daily/weekly pulls.

Is this data public?

The Actor collects publicly visible data only — the same information a logged-out visitor sees.

What formats can I export?

JSON, CSV, Excel, XML, or direct API access to the dataset — plus webhooks and integrations.

What if a run returns fewer rows than expected?

The source limits some results; retry once, and widen the query or filters if the target surface is genuinely thin.

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