# The Artifact Machine Third-Party Script Auditor (`artifact-machine/artifact-machine-third-party-script-auditor`) Actor

Categorize external scripts by purpose and measure their impact.

- **URL**: https://apify.com/artifact-machine/artifact-machine-third-party-script-auditor.md
- **Developed by:** [The Artifact Machine](https://apify.com/artifact-machine) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / third-party script audit report

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## The Artifact Machine Third-Party Script Auditor

A browser-based artifact that inventories external scripts, detects render-blocking resources, measures third-party payload impact, and identifies resource-hint opportunities.

Pulled from The Artifact Machine: generated, tested, and cleaned up by a human.

### What It Checks

- external script inventory (src, domain, async/defer, type)
- render-blocking script and stylesheet detection
- third-party iframe audit with lazy-load assessment
- resource hint coverage (preconnect, dns-prefetch, preload)
- domain categorization by service type (analytics, ads, social, CDN, fonts, chat, maps, video)
- duplicate domain and excessive script warnings
- composite score across scripts, render-blocking, and domains

### Best For

- performance audits and Core Web Vitals triage
- tag management and third-party consolidation planning
- security reviews (Subresource Integrity readiness)
- agency client audit reports

### Input

```json
{
  "url": "https://example.com"
}
```

### Output

The Actor writes one dataset item and an OUTPUT key-value record with:

- `score`: composite 0-100 score
- `summary`: aggregate counts (third-party total, render-blocking, async, defer, stylesheets, iframes, domains)
- `scripts`: per-script inventory with render-blocking flags
- `stylesheets`: per-stylesheet inventory
- `iframes`: per-iframe audit
- `domains`: categorized domain list
- `resourceHints`: preconnect, dns-prefetch, and preload discovery

### Limits

- Scans only the initial page — does not crawl sub-pages.
- Scripts loaded dynamically after `networkidle` may be missed.
- Some sites block headless browsers. Results should be verified against a regular browser session.

# Actor input Schema

## `url` (type: `string`):

The URL of the page to audit for third-party scripts.

## Actor input object example

```json
{
  "url": "https://example.com"
}
```

# Actor output Schema

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

Default dataset items. Each item contains the target URL, script inventory, domain categories, render-blocking analysis, and issues.

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

The audit summary stored as the OUTPUT key-value record.

# 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 = {
    "url": "https://example.com"
};

// Run the Actor and wait for it to finish
const run = await client.actor("artifact-machine/artifact-machine-third-party-script-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 = { "url": "https://example.com" }

# Run the Actor and wait for it to finish
run = client.actor("artifact-machine/artifact-machine-third-party-script-auditor").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "url": "https://example.com"
}' |
apify call artifact-machine/artifact-machine-third-party-script-auditor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=artifact-machine/artifact-machine-third-party-script-auditor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/RIuNzzj1QWg1pgp8T/builds/BdmktwitGG8iaGnBg/openapi.json