# Website Content RAG Cleaner (`vedder1980/website-content-rag-cleaner`) Actor
Extract public web pages into clean, structured content ready for retrieval, summaries, and AI workflows.
- **URL**: https://apify.com/vedder1980/website-content-rag-cleaner.md
- **Developed by:** [Daniel Ferreira de Almeida](https://apify.com/vedder1980) (community)
- **Categories:** Automation
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.50 / 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
## Website Content RAG Cleaner
Turn public web pages into clean, structured, RAG-ready content.
### What it does
This Actor fetches one or more public URLs, or consumes provided HTML, and returns:
- the resolved page title and final URL
- cleaned plain text
- markdown-style content
- optional raw HTML
- extracted links
- chunked text for retrieval pipelines
- basic run metadata
### Best for
- knowledge base ingestion
- RAG pipelines
- AI search indexes
- support and sales enablement
- document-style content extraction
### Input
- `urls` — public URLs to process
- `html` — optional single HTML document for offline validation
- `htmlByUrl` — optional offline URL→HTML map
- `includeRawHtml` — include the original HTML in output
- `includeLinks` — include extracted links
- `maxTextChars` — cap on cleaned text length
- `chunkSize` — chunk size for downstream processing
### Example input
```json
{
"urls": ["https://example.com/article"],
"html": "ExampleExample
Hello world.
",
"includeRawHtml": false,
"includeLinks": true,
"maxTextChars": 5000,
"chunkSize": 400
}
```
### Output
Each item contains:
- `url`
- `finalUrl`
- `title`
- `description`
- `text`
- `markdown`
- `chunks`
- `links`
- `wordCount`
- `status`
- `checkedAt`
### Validation
The local smoke test uses a fixture HTML document so the Actor can be validated without network dependence.
### Notes
- Safe for platform testing with fixture HTML.
- Designed for clean ingestion into downstream retrieval systems.
# Actor input Schema
## `urls` (type: `array`):
Public page URLs to fetch and clean.
## `html` (type: `string`):
Optional single HTML document for local validation or offline processing.
## `includeRawHtml` (type: `boolean`):
Include the original HTML in the output.
## `includeLinks` (type: `boolean`):
Include extracted links in the output.
## `maxTextChars` (type: `integer`):
Maximum number of characters stored in the text output.
## `chunkSize` (type: `integer`):
Target chunk size for segmented text.
## Actor input object example
```json
{
"includeRawHtml": false,
"includeLinks": true,
"maxTextChars": 4000,
"chunkSize": 1200
}
```
# Actor output Schema
## `dataset` (type: `string`):
Cleaned page records stored in the default dataset.
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {};
// Run the Actor and wait for it to finish
const run = await client.actor("vedder1980/website-content-rag-cleaner").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {}
# Run the Actor and wait for it to finish
run = client.actor("vedder1980/website-content-rag-cleaner").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 '{}' |
apify call vedder1980/website-content-rag-cleaner --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=vedder1980/website-content-rag-cleaner",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/acts/STbiPeYVELk5sFmhN/builds/Pn2881HT6gp51zPbP/openapi.json