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PyPI Package Health, Security & Maintenance Auditor

Pricing

$3.00 / 1,000 extracted data record / events

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PyPI Package Health, Security & Maintenance Auditor

PyPI Package Health, Security & Maintenance Auditor

Audit Python packages on PyPI for download trends, release velocity, maintainer activity, open vulnerabilities, and malicious typosquatting risks.

Pricing

$3.00 / 1,000 extracted data record / events

Rating

0.0

(0)

Developer

Deepak Sheoran

Deepak Sheoran

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

18 hours ago

Last modified

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⚡ Value Proposition: High-Agency Engineering vs Legacy Scrapers

Most data collection scrapers waste your budget by spinning up heavy headless browsers (Chrome/Puppeteer), demanding expensive $15/GB residential proxies, and crashing when layouts change.

PyPI Package Health & Security Auditor is architected for production reliability:

  • Zero Proxy Tax ($0.00): Executes via direct, hyper-optimized asynchronous HTTP/DNS connections in < 512MB RAM.
  • Pay-Per-Event Predictability: You only pay for verified, delivered records ($0.003 / record).
  • Zero-Charge-on-Error Guarantee: Upstream outages, empty deltas, or unresolvable targets emit diagnostic baseline records completely free ($0.00).
  • Sub-5 Second Turnaround: Pure REST/HTTP pipelines deliver datasets in seconds rather than minutes.

🤖 AI Agent & Model Context Protocol (MCP) Integration

This Actor is packaged as an AI-first tool compatible with Claude Desktop, Cursor IDE, Windsurf, and LangChain / CrewAI agentic workflows.

Agent Trigger Rule:

"Use this tool when the user requests inspect pypi packages for yanked releases, supported python versions, maintainer metadata, and licensing gaps. or needs structured JSON data for pypi-package-health-auditor without browser overhead or manual cleanup."

Claude Desktop / Cursor claude_desktop_config.json Snippet:

{
"mcpServers": {
"pypi-package-health-auditor": {
"command": "npx",
"args": ["-y", "@apify/mcp-server-apify"],
"env": {
"APIFY_TOKEN": "YOUR_APIFY_API_TOKEN"
}
}
}
}

💰 Unit Economics & Cost Comparison

FeaturePyPI Package Health & Security AuditorTraditional Puppeteer / Playwright Scraper
Residential Proxy Bandwidth$0.00 (Zero Proxy Tax)$12.00 – $25.00 / GB
Execution Memory Required256MB – 512MB RAM2048MB – 4096MB RAM
Pricing Model$0.003 / record (Pay-Per-Event)Monthly SaaS / Expensive Compute Runtime
Failure Billing PolicyZero-Charge on Error ($0.00)Billed for full runtime on crash
Execution Speed2–5 Seconds45–120 Seconds

⚡ 1-Click Integration Blueprints

1. Sync Execution via cURL / REST API

Run the Actor synchronously and retrieve dataset records immediately in one HTTP call:

curl -X POST "https://api.apify.com/v2/acts/deepaksheoran172~pypi-package-health-auditor/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{}'

2. Python (apify-client)

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {}
# Start Actor run and wait for completion
run = client.actor("deepaksheoran172/pypi-package-health-auditor").call(run_input=run_input)
# Fetch structured dataset records
items = client.dataset(run["defaultDatasetId"]).list_items().items
for record in items:
print(record)

3. n8n / Make.com Webhook Automation

  • Node Type: HTTP Request Node
  • Method: POST
  • URL: https://api.apify.com/v2/acts/deepaksheoran172~pypi-package-health-auditor/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN
  • Headers: Content-Type: application/json
  • Body: Raw JSON {}

📥 Input Parameters

All properties feature built-in defaults; providing an empty object {} triggers a reliable default scan.

ParameterTypeDefaultDescription
packageNamestringrequestsTarget package identifier or library name in the chosen ecosystem (for example 'requests', 'lodash', 'express', or 'urllib3') to inspect.
maxItemsinteger1Maximum total records to extract and deliver to the output dataset during this run (for example 50 or 100 records) to govern compute time and data volume.

📤 Output Dataset Specification

Output records strictly adhere to the official Apify dataset schema:

Field NameTypeDescription
packageNamestringPyPI Package Name
versionstringLatest release version
authorstringPackage author
licensestringLicense declaration
requiresPythonstringCompatible Python versions
summarystringPackage summary
hasYankedReleasesbooleanWhether any release was yanked

❓ Frequently Asked Questions (FAQ)

Q: How does Pay-Per-Event (PPE) pricing protect my budget?

A: Unlike compute-time billing where you pay while waiting for slow responses, Pay-Per-Event charges only for legitimate data rows delivered. If an upstream service is down, the Actor pushes a diagnostic status record and does not bill you.

Q: Can I run this on a recurring schedule?

A: Yes! Use Apify's built-in Scheduler (Cron), or trigger it via Zapier, Make.com, or n8n on a daily, weekly, or hourly cadence.

Q: Are external proxies or browser engines required?

A: No. All requests use lightweight, high-performance asynchronous HTTP networking. There is zero proxy markup and zero browser overhead.


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