# NPM Package Security & Maintenance Auditor (`glowing_glove/npm-package-security-maintenance-auditor`) Actor

Audit npm packages for latest version, release freshness, license, repository links, deprecation status, and maintenance risk.

- **URL**: https://apify.com/glowing\_glove/npm-package-security-maintenance-auditor.md
- **Developed by:** [Ushba Khan](https://apify.com/glowing_glove) (community)
- **Categories:** Developer tools, News, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $22.00 / 1,000 audited npm packages

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## NPM Package Security & Maintenance Auditor

NPM Package Security & Maintenance Auditor helps engineering and security teams review public npm package metadata before adopting or continuing to depend on a package.

The actor focuses on maintenance and risk signals: latest version, release age, license, deprecation status, repository link, and recommended action.

### Business Use Cases

- Audit dependencies before technical due diligence.
- Find stale or deprecated npm packages in a stack.
- Compare JavaScript package alternatives.
- Build dependency maintenance dashboards.
- Help agencies prepare client modernization reports.

### Input

```json
{
  "packages": ["react", "lodash", "express"],
  "staleAfterDays": 365
}
```

### Output You Get

- `packageName`
- `latestVersion`
- `latestReleaseDate`
- `daysSinceRelease`
- `maintenanceRisk`
- `license`
- `deprecated`
- `repositoryUrl`
- `riskFindings`
- `recommendedAction`

### How It Works

The actor calls the public npm registry for each package and converts metadata into a short maintenance-risk assessment. It keeps the dataset suitable for spreadsheets and automation workflows.

### Practical Workflow

Paste a package list from `package.json`, run the actor, and review packages marked medium or high risk. Combine results with vulnerability scanners for a broader dependency review.

### Notes

This actor evaluates public npm metadata. It does not install packages, execute package code, or scan private repositories.

# Actor input Schema

## `packages` (type: `array`):

NPM packages

## `staleAfterDays` (type: `integer`):

Stale after days

## Actor input object example

```json
{
  "packages": [
    "react",
    "lodash"
  ],
  "staleAfterDays": 365
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `summary` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "packages": [
        "react",
        "lodash"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("glowing_glove/npm-package-security-maintenance-auditor").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "packages": [
        "react",
        "lodash",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("glowing_glove/npm-package-security-maintenance-auditor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "packages": [
    "react",
    "lodash"
  ]
}' |
apify call glowing_glove/npm-package-security-maintenance-auditor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,glowing_glove/npm-package-security-maintenance-auditor"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Bkn12cqLyfn4kqvpq/builds/CLHjDHLvy1MY1g2uh/openapi.json