# Schema & AI-Readiness Validator (`steadfeed/schema-ai-readiness-validator`) Actor

Check JSON-LD, Open Graph, canonical SEO signals, llms.txt and AI robots.txt cues. Plain-English readiness score. Informational only — not a ranking or citation guarantee. By Steadfeed.

- **URL**: https://apify.com/steadfeed/schema-ai-readiness-validator.md
- **Developed by:** [Steadfeed](https://apify.com/steadfeed) (community)
- **Categories:** SEO tools, Developer tools
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 page successfully checkeds

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Schema & AI-Readiness Validator

Inspect public HTML pages for **structured data** and **AI-oriented discovery signals**:

- JSON-LD (`application/ld+json`) types and common missing fields
- Open Graph / Twitter card tags
- Title, meta description, canonical, H1
- Optional origin `/llms.txt` presence
- Light `robots.txt` summary for major AI crawlers (pair with [AI Crawler Access Auditor](https://apify.com/steadfeed/ai-crawler-access-auditor) for a full crawler audit)

Returns a plain-English **readiness score (0–100)** plus findings and suggestions.

**Informational only.** This does **not** guarantee Google rich results, search rankings, or AI citations.

Built by [Steadfeed](https://apify.com/steadfeed).

### Input

| Field | Default | Notes |
|---|---|---|
| `urls` | required | 1–50 public http(s) pages |
| `checkLlmsTxt` | true | Fetch `/llms.txt` once per origin |
| `checkRobots` | true | Fetch `/robots.txt` once per origin |
| `dryRun` | false | Fixture HTML, no network |

Private hosts and credentialed URLs are rejected. Pages are fetched as static HTML (no login, no browser rendering).

### Output

One dataset row per URL with `meta`, `jsonLd`, `llmsTxt`, `robots`, and `readiness` (`score`, `band`, `findings`, `suggestions`). Run totals in the `SUMMARY` key-value record.

### Pricing (draft — not live until owner approval)

- **page-checked** — **$0.003** per successful page (`status=ok`)
- **Actor start** — $0.00005
- Error rows free; do not enable `apify-default-dataset-item`

### Related Steadfeed Actors

- `steadfeed/ai-crawler-access-auditor` — deeper robots / crawler access
- `steadfeed/ai-search-visibility-tracker` — brand mentions in AI answers (BYOK)

### Limitations

- JS-injected JSON-LD will not appear in the static HTML snapshot
- Field checks are heuristics for common schema.org types, not full Google rich-result validation
- `llms.txt` is an emerging convention; absence is informational, not a failure by itself

# Actor input Schema

## `urls` (type: `array`):

1–50 public http(s) page URLs to inspect. Static HTML only (no login, no JS rendering).

## `checkLlmsTxt` (type: `boolean`):

When true (default), fetch https://origin/llms.txt once per distinct origin and report presence.

## `checkRobots` (type: `boolean`):

When true (default), fetch robots.txt once per origin and note whether major AI crawlers are fully disallowed. For a deeper crawler audit use steadfeed/ai-crawler-access-auditor.

## `requestIntervalMs` (type: `integer`):

Polite spacing. 200–30000; default 1000.

## `maxRetries` (type: `integer`):

Retries for network errors and 408/429/5xx. 0–5; default 2.

## `timeoutMs` (type: `integer`):

3000–60000; default 20000.

## `dryRun` (type: `boolean`):

When true, no network calls; returns a deterministic fixture analysis. Default false.

## Actor input object example

```json
{
  "urls": [
    "https://example.com/",
    "https://www.w3.org/"
  ],
  "checkLlmsTxt": true,
  "checkRobots": true,
  "requestIntervalMs": 1000,
  "maxRetries": 2,
  "timeoutMs": 20000,
  "dryRun": false
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

## `readiness` (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 = {
    "urls": [
        "https://example.com/",
        "https://www.w3.org/"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("steadfeed/schema-ai-readiness-validator").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 = { "urls": [
        "https://example.com/",
        "https://www.w3.org/",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("steadfeed/schema-ai-readiness-validator").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 '{
  "urls": [
    "https://example.com/",
    "https://www.w3.org/"
  ]
}' |
apify call steadfeed/schema-ai-readiness-validator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,steadfeed/schema-ai-readiness-validator"
        }
    }
}
```

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/4rheSAQqrc6eqCTf0/builds/zA0mJoIUQ9K73Tten/openapi.json