# Google E-E-A-T Auditor 🔍 (`environmental_audio/google-eeat-auditor`) Actor

Automatically audit blog posts against Google's E-E-A-T Quality Rater Guidelines using AI.

- **URL**: https://apify.com/environmental\_audio/google-eeat-auditor.md
- **Developed by:** [Rahul Kasturiya](https://apify.com/environmental_audio) (community)
- **Categories:** Automation, SEO tools, AI
- **Stats:** 2 total users, 1 monthly users, 93.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 results

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

## Google E-E-A-T Content Auditor 🔍

SEO algorithms change constantly, but Google's core directive remains the same: content must demonstrate **Experience, Expertise, Authoritativeness, and Trustworthiness (E-E-A-T)**.

Instead of manually reading through hundreds of blog posts to figure out why they aren't ranking, this Actor uses AI to automatically audit your URLs against Google's exact E-E-A-T Quality Rater Guidelines.

### How it works

1. Feed it a list of blog post or article URLs.
2. It quickly extracts the core text, ignoring sidebars and nav.
3. It securely passes the article to an LLM to evaluate the four pillars of E-E-A-T.
4. It outputs an organized dataset with scores, the primary weakness, and an actionable fix.

### What you get (Output JSON)

```json
{
  "url": "https://example.com/blog/how-to-fix-a-pipe",
  "experience_score": 3,
  "expertise_score": 6,
  "authoritativeness_score": 4,
  "trustworthiness_score": 5,
  "overall_score": 4.5,
  "primary_weakness": "The article lacks first-hand experience and does not identify the author's credentials as a plumber.",
  "fix_recommendation": "Add a detailed author bio establishing plumbing credentials and rewrite the intro in first-person to demonstrate real-world experience."
}
```

### Setup & Privacy

**To run this, you need your own OpenAI API Key.**
We designed it this way so we don't have to mark up token costs. You pay Apify's cheap compute costs, and you pay OpenAI directly at their exact rate (it uses `gpt-4o-mini` by default which is practically free).

**Your OpenAI API key is handled as a Secret.** It is strictly securely passed to the LLM and is never logged in data exports.

# Actor input Schema

## `startUrls` (type: `array`):

List of URLs to process.

## `openaiApiKey` (type: `string`):

Your OpenAI API Key for the intelligence layer.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.apify.com/"
    }
  ]
}
```

# 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 = {
    "startUrls": [
        {
            "url": "https://www.apify.com/"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("environmental_audio/google-eeat-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 = { "startUrls": [{ "url": "https://www.apify.com/" }] }

# Run the Actor and wait for it to finish
run = client.actor("environmental_audio/google-eeat-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 '{
  "startUrls": [
    {
      "url": "https://www.apify.com/"
    }
  ]
}' |
apify call environmental_audio/google-eeat-auditor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=environmental_audio/google-eeat-auditor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/oXeyeDiH4pKeGb4io/builds/YCsodAHcSKculH1ev/openapi.json