# AI RAG Feeder V2 (`mickeywmoore/ai-rag-feeder-v2`) Actor

Turn any website into AI-ready Markdown. Scrapes entire domains, removes ads/clutter, and formats text specifically for RAG pipelines and LLM training data.

- **URL**: https://apify.com/mickeywmoore/ai-rag-feeder-v2.md
- **Developed by:** [Mickey Moore](https://apify.com/mickeywmoore) (community)
- **Categories:** AI, Automation, Developer tools
- **Stats:** 9 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 pages

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

## AI RAG Feeder V2

**AI RAG Feeder V2** is a specialized scraper designed to feed data into LLM (Large Language Model) and RAG (Retrieval-Augmented Generation) pipelines. It navigates websites and converts the HTML content into clean, token-efficient Markdown.

### ✨ Features

- **Clean Markdown Extraction:** Automatically removes ads, navbars, and footers to save tokens.
- **Recursive Crawling:** Can follow links to scrape entire documentation sites.
- **Smart Formatting:** Preserves headers, code blocks, and tables for better embedding quality.
- **Proxy Support:** Built-in rotation to avoid IP blocking.

### 🚀 How to use

1. **Start URLs:** Enter the list of URLs you want to scrape.
2. **Max Depth:** Set how deep the crawler should go (e.g., `1` for direct links, `0` for just the page).
3. **Run:** The actor will output a JSON dataset ready for vector databases.

### 📦 Output

The results are stored in the default Apify dataset. Each item contains:

````json
{
    "url": "[https://example.com/docs](https://example.com/docs)",
    "title": "Documentation",
    "markdown": "# Documentation\n\nThis is the clean text...",
    "metadata": { "depth": 1 }
}



# Actor input Schema

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

List of URLs to scrape (e.g., documentation sites).
## `maxDepth` (type: `integer`):

How deep to link. 0 = single page. 1 = direct links.
## `proxyConfiguration` (type: `object`):

Select proxies to avoid blocking.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://docs.apify.com/academy/web-scraping-for-beginners"
    }
  ],
  "maxDepth": 1,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
````

# 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.apify.com/academy/web-scraping-for-beginners"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("mickeywmoore/ai-rag-feeder-v2").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.apify.com/academy/web-scraping-for-beginners" }] }

# Run the Actor and wait for it to finish
run = client.actor("mickeywmoore/ai-rag-feeder-v2").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.apify.com/academy/web-scraping-for-beginners"
    }
  ]
}' |
apify call mickeywmoore/ai-rag-feeder-v2 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mickeywmoore/ai-rag-feeder-v2"
        }
    }
}
```

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/mH38crdO3t5PLJNaC/builds/CNavnoQagWj5yj1bd/openapi.json