PyPI Package Metadata Scraper
Pricing
$0.50 / 1,000 records
PyPI Package Metadata Scraper
PyPI Package Metadata Scraper. No key. $0 on failed or empty runs.
Pricing
$0.50 / 1,000 records
Rating
0.0
(0)
Developer
Christian Pichichero
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
18 days ago
Last modified
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PyPI Package Metadata Scraper — a fast, reliable pypi scraper that needs no API key. You pay only for the results you get: failed or empty runs are always free.
This pypi scraper runs on the Apify platform, so you can call it from the API, run it on a schedule, or export results to JSON, CSV, Excel, or Google Sheets.
What this scraper does
- Extracts structured pypi data with no browser or API key required
- Returns clean JSON, one record per result — ready for sheets, databases, or apps
- Pay-per-result pricing: you are never charged for a run that returns nothing
- Runs on demand or on a schedule, and integrates with 5,000+ apps via the Apify API and webhooks
What data you get
Each result record includes fields such as:
- Name (
name) — e.g."requests" - Version (
version) — e.g."2.34.2" - Summary (
summary) — e.g."Python HTTP for Humans." - Author (
author) — e.g."Kenneth Reitz <me@kennethreitz.org>" - Author Email (
authorEmail) — e.g."Kenneth Reitz <me@kennethreitz.org>" - License (
license) — e.g."Apache-2.0" - Homepage (
homepage) — e.g."https://github.com/psf/requests" - Requires Python (
requiresPython) — e.g.">=3.10" - Keywords (
keywords) — e.g.[] - Project Urls (
projectUrls) — e.g.{"Documentation": "https://requests.readthedocs.io", "Sou... - Requires Dist (
requiresDist) — e.g.["charset_normalizer<4,>=2", "idna<4,>=2.5", "urllib3<3,>... - Dependency Count (
dependencyCount) — e.g.4 - Release Count (
releaseCount) — e.g.158 - Latest Upload Time (
latestUploadTime) — e.g."2026-05-01T10:00:00.000000Z" - Package Url (
packageUrl) — e.g."https://pypi.org/project/requests/"
Input
| Field | Type | Description |
|---|---|---|
packages | array | PyPI package names to look up (e.g. "requests", "numpy"). Full project URLs like https://pypi.org/project/n... |
includeReleases | boolean | Also emit one "release" record per version (upload time, file count, total size, yanked flag), newest first. |
maxReleasesPerPackage | integer | Cap on release-history records emitted per package when release history is enabled. Default 25. |
maxResults | integer | Maximum number of packages to process from the input list. Default 500. |
Example output
{"type": "package","name": "requests","version": "2.34.2","summary": "Python HTTP for Humans.","author": "Kenneth Reitz <me@kennethreitz.org>","authorEmail": "Kenneth Reitz <me@kennethreitz.org>","license": "Apache-2.0","homepage": "https://github.com/psf/requests","requiresPython": ">=3.10","keywords": [],"projectUrls": {"Documentation": "https://requests.readthedocs.io","Source": "https://github.com/psf/requests"},"requiresDist": ["charset_normalizer<4,>=2","idna<4,>=2.5","urllib3<3,>=1.21.1","certifi>=2017.4.17"],"dependencyCount": 4,"releaseCount": 158,"latestUploadTime": "2026-05-01T10:00:00.000000Z","packageUrl": "https://pypi.org/project/requests/","yanked": false,"scrapedAt": "2026-07-10T12:00:00Z"}
Use cases
- Monitor packages, repos, and dependencies
- Automate security and license audits
- Build developer dashboards and alerts
- Enrich internal tools and integrations
Pricing
This actor uses pay-per-result pricing at $0.0005 per record. There is no monthly fee and no start fee — and empty or failed runs cost $0, so you only ever pay for data you actually receive.
Frequently asked questions
Do I need an API key or account for the source? No. This pypi scraper works out of the box with no API key required.
What happens if a run returns no results? You are not charged. Billing is per result, so empty or failed runs are free.
Can I run the pypi scraper on a schedule? Yes. Use the Apify Scheduler to run it hourly, daily, or on any cron schedule, and get results by webhook or API.
What export formats are supported? Results can be exported as JSON, CSV, Excel, HTML, or pushed to Google Sheets, a database, or your own app via the Apify API.
Is the data structured? Yes. Every pypi result is a clean, flat JSON record you can use immediately.