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.

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
- Feed PyPI Package Scraper Data Into Your Pipeline
- Extract PyPI Package Scraper at Scale
- Monitor PyPI Package Scraper on a Schedule
- 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.
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.