# Website Content Crawler (`admo-solutions/website-content-crawler`) Actor

- **URL**: https://apify.com/admo-solutions/website-content-crawler.md
- **Developed by:** [Admo Solutions](https://apify.com/admo-solutions) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 results

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 Content Crawler

Extract **clean text content** and **Markdown** from any website. Built for AI/RAG training data, content analysis, and documentation extraction.

### Why use this Actor?

- **AI/RAG Ready**: Extract clean Markdown format perfect for LLM training and RAG pipelines
- **Smart Crawling**: Follows links with configurable depth and page limits
- **JavaScript Support**: Uses Playwright to handle JS-heavy websites
- **Clean Output**: Removes ads, navigation, footers, and boilerplate content
- **Respectful**: Configurable delays between requests

### How to use

1. Enter one or more start URLs
2. Set crawl depth (how many link hops to follow)
3. Set max pages limit
4. Click **Start** and download your results

### Input

| Field | Description | Default |
|-------|-------------|---------|
| Start URLs | URLs to start crawling from | Required |
| Max Crawl Depth | Link hops from start URLs (0=start only) | 2 |
| Max Pages | Maximum pages to crawl | 100 |
| Delay Between Requests | Politeness delay in seconds | 1 |
| Include External Links | Follow links to other domains | false |

### Output

Each crawled page includes:

- **url**: Page URL
- **title**: Page title
- **text**: Full text content (plain text)
- **markdown**: Clean Markdown format (headers, paragraphs, lists, code blocks)
- **metaDescription**: HTML meta description
- **headings**: List of headings with levels
- **wordCount**: Total word count
- **depth**: Crawl depth from start URL

```json
{
    "url": "https://docs.python.org/3/tutorial/classes.html",
    "title": "9. Classes — Python 3.12.5 documentation",
    "text": "9. Classes Classes provide a means of bundling data and functionality together...",
    "markdown": "# 9. Classes\n\nClasses provide a means of bundling data and functionality together...",
    "metaDescription": "This chapter aims to present the many new features of Python 3...",
    "headings": [{"level": 1, "text": "9. Classes"}, {"level": 2, "text": "A Word About Names and Objects"}],
    "wordCount": 2847,
    "depth": 1
}
```

Download as JSON, CSV, HTML, or Excel.

### 💰 Pricing

This Actor uses the **Pay Per Event** pricing model:

| Event | Price |
|-------|-------|
| Per page scraped | $4.00 / 1,000 |

For example, scraping 100 pages costs: **$0.40**

### Tips

- Use depth 0-2 for documentation sites
- Use depth 1-3 for blogs and content sites
- Increase delay for slower servers
- Use maxPages to control costs

# Actor input Schema

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

URLs to start crawling from. The crawler will follow links from these pages.

## `maxDepth` (type: `integer`):

Maximum number of link hops from the start URLs. 0 = only start pages, 1 = follow one level of links, etc.

## `maxPages` (type: `integer`):

Maximum total number of pages to crawl.

## `delay` (type: `number`):

Delay between page requests to be respectful to the server.

## `includeExternalLinks` (type: `boolean`):

Whether to follow links to external domains (not recommended for most use cases).

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://docs.python.org/3/"
    }
  ],
  "maxDepth": 2,
  "maxPages": 100,
  "delay": 1,
  "includeExternalLinks": false
}
```

# Actor output Schema

## `results` (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 = {
    "startUrls": [
        {
            "url": "https://docs.python.org/3/"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("admo-solutions/website-content-crawler").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://docs.python.org/3/" }] }

# Run the Actor and wait for it to finish
run = client.actor("admo-solutions/website-content-crawler").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 '{
  "startUrls": [
    {
      "url": "https://docs.python.org/3/"
    }
  ]
}' |
apify call admo-solutions/website-content-crawler --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,admo-solutions/website-content-crawler"
        }
    }
}

```

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/dfXm1SMMr1DYh31AO/builds/ebSAOvBmBtxJTtsBF/openapi.json