# Website SEO Audit Crawler — $0.50/1K (`scrapesignal_labs/website-seo-audit`) Actor

Crawl websites and export a clear on-page SEO score for every page. Find missing titles, descriptions, headings, canonicals, image alt text, indexability, structured data, and internal-link gaps.

- **URL**: https://apify.com/scrapesignal\_labs/website-seo-audit.md
- **Developed by:** [ScrapeSignal Labs](https://apify.com/scrapesignal_labs) (community)
- **Categories:** Marketing, Developer tools, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 audited pages

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/actors/running/actors-in-store.md#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

## Website SEO Audit Crawler — $0.50 per 1,000 pages

Crawl one or more websites and turn every page into a clean, scored on-page SEO audit. It is built for SEO agencies, developers, content teams, automated QA, prospect qualification, and repeatable client reporting.

### What you get

- 0–100 SEO score and a plain-language issue list per page
- HTTP status, redirect target, response time, content type, and page size
- Page title and description text and lengths, canonical URL, language, viewport, and robots directives
- H1/H2 counts, visible word count, indexability, internal and external link counts
- Image count and missing-alt count
- JSON-LD structured-data types and Open Graph fields

### Quick start

Paste one or more website URLs, set the maximum pages per site, and press **Start**. The Actor follows same-site links, respects `robots.txt` by default, and writes one immediately filterable row per page.

Example input:

```json
{
  "startUrls": ["https://example.com", "https://apify.com"],
  "maxPagesPerSite": 25,
  "includeSubdomains": false,
  "respectRobotsTxt": true,
  "maxConcurrency": 5
}
```

### Pricing

Pay per result: **$0.0005 per audited page ($0.50 per 1,000)** plus a $0.00005 run-start event and normal Apify platform usage. `maxPagesPerSite` is a hard page and item-price ceiling for each starting website.

### Good prospecting workflow

Run a list of prospect websites, sort by `seoScore`, and filter `issues` for gaps your agency actually solves—for example missing descriptions, multiple H1s, absent structured data, or image accessibility problems. Verify each opportunity before contacting a business; an automated audit is a lead signal, not a guarantee that a sale is appropriate.

### Reliability and scope

The Actor exposes fetch errors instead of silently hiding them, caps large responses, follows only HTTP(S) pages, deduplicates links, and respects public crawler exclusions by default. It performs deterministic on-page checks; it does not claim Lighthouse performance scores, backlink authority, or search rankings it did not measure.

# Actor input Schema

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

One website or starting page per line.

## `maxPagesPerSite` (type: `integer`):

Hard output and item-price ceiling for each website.

## `includeSubdomains` (type: `boolean`):

Follow links to subdomains of the starting website.

## `respectRobotsTxt` (type: `boolean`):

Do not crawl paths disallowed to general web crawlers.

## `maxConcurrency` (type: `integer`):

Number of starting websites audited in parallel.

## `timeoutSeconds` (type: `integer`):

Maximum seconds to wait for each public page.

## Actor input object example

```json
{
  "startUrls": [
    "https://example.com"
  ],
  "maxPagesPerSite": 25,
  "includeSubdomains": false,
  "respectRobotsTxt": true,
  "maxConcurrency": 5,
  "timeoutSeconds": 20
}
```

# Actor output Schema

## `dataset` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapesignal_labs/website-seo-audit").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("scrapesignal_labs/website-seo-audit").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 '{}' |
apify call scrapesignal_labs/website-seo-audit --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapesignal_labs/website-seo-audit"
        }
    }
}

```

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/X6Y9nYhef48IDTJ3Z/builds/Yt23yo5vC1PHu7gRG/openapi.json