# URL to Markdown for AI & LLM (Clean Web Content) (`proper_ecosystem_cie/url-to-markdown`) Actor

Convert any list of web pages into clean Markdown or plain text for LLMs, RAG, vector databases and AI agents. Removes navigation, ads and boilerplate; keeps headings, lists, tables and links. Returns title, author, date and word count.

- **URL**: https://apify.com/proper_ecosystem_cie/url-to-markdown.md
- **Developed by:** [Proper Ecosystem Tools](https://apify.com/proper_ecosystem_cie) (community)
- **Categories:** AI, Developer tools
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.50 / 1,000 page converteds

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

## URL to Markdown for AI & LLM (Clean Web Content)

Feed the web to your AI. This Actor converts any list of URLs into **clean Markdown** (or plain text) with just the main content: no menus, cookie banners, ads, or footers. Ideal for **LLM prompts, RAG pipelines, vector databases, and AI agents**.

### Features

- Main-content extraction with trafilatura, a leading open-source boilerplate remover
- Markdown keeps headings, lists, tables, and links; plain text is also available
- Metadata: title, author, publish date, description, site name, language, main image
- Word and character counts, plus an optional max length for token budgets
- Fast HTTP fetching with no browser; honors robots.txt
- Works great from LangChain, LlamaIndex, n8n, Make, and MCP clients

### Input

| Field | Description |
|---|---|
| `urls` | Domains or full URLs, one per line. |
| `outputFormat` | Markdown keeps headings, lists, tables and links. |
| `includeLinks` | Keep hyperlinks in Markdown output. |
| `includeTables` | Keep tables. |
| `includeImages` | Keep image references. |
| `maxCharacters` | Truncate content longer than this. |
| `concurrency` | Items processed in parallel. |
| `maxItems` | Stop after this many unique inputs. |

### Output (illustrative example)

```json
{
 "url": "https://www.example.com/blog/post",
 "title": "Example Article Title",
 "wordCount": 860,
 "format": "markdown",
 "content": "# Example Article Title\n\nThis is an example paragraph with a [link](https://www.example.com).\n\n## Section\n- point one\n- point two"
}
```

### Pricing

Pay per event: **page converted**. Rows that fail with an `error` are free. Set a maximum charge per run to cap spend.

### Use cases

- Build RAG knowledge bases from docs and blogs
- Give AI agents readable page content
- Summarize or classify articles in bulk
- Archive articles as Markdown

Works with the Apify API, schedules, webhooks, Make, Zapier, n8n, and AI agents via MCP.

# Actor input Schema

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

Domains or full URLs, one per line.

## `outputFormat` (type: `string`):

Markdown keeps headings, lists, tables and links.

## `includeLinks` (type: `boolean`):

Keep hyperlinks in Markdown output.

## `includeTables` (type: `boolean`):

Keep tables.

## `includeImages` (type: `boolean`):

Keep image references.

## `maxCharacters` (type: `integer`):

Truncate content longer than this.

## `concurrency` (type: `integer`):

Items processed in parallel.

## `maxItems` (type: `integer`):

Stop after this many unique inputs.

## Actor input object example

```json
{
  "urls": [
    "https://docs.apify.com/platform/actors",
    "https://en.wikipedia.org/wiki/Web_scraping"
  ],
  "outputFormat": "markdown",
  "includeLinks": true,
  "includeTables": true,
  "includeImages": false,
  "maxCharacters": 200000,
  "concurrency": 10,
  "maxItems": 50000
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset with one row per input item

## `runStats` (type: `string`):

Summary counts for the run

# 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://docs.apify.com/platform/actors",
        "https://en.wikipedia.org/wiki/Web_scraping"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("proper_ecosystem_cie/url-to-markdown").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://docs.apify.com/platform/actors",
        "https://en.wikipedia.org/wiki/Web_scraping",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("proper_ecosystem_cie/url-to-markdown").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://docs.apify.com/platform/actors",
    "https://en.wikipedia.org/wiki/Web_scraping"
  ]
}' |
apify call proper_ecosystem_cie/url-to-markdown --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,proper_ecosystem_cie/url-to-markdown"
        }
    }
}
```

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/0sMaXX8quTSBmN3Yr/builds/JeiGZjSgv1JxBQabr/openapi.json