# Web to LLM Spanish — RAG-ready content extractor (`fanciful_geode/web-to-llm-es`) Actor

Crawls Spanish-language websites and extracts clean markdown content optimized for LLM RAG pipelines. Handles Spanish character encoding, removes boilerplate, and outputs structured chunks ready for embedding.

- **URL**: https://apify.com/fanciful\_geode/web-to-llm-es.md
- **Developed by:** [Ernesto de Armas](https://apify.com/fanciful_geode) (community)
- **Categories:** Agents, AI, Automation
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00025 / actor start

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?

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

## Web to LLM Spanish 🇪🇸

Convierte sitios web en español en contenido limpio listo para **RAG pipelines, LLM training y fine-tuning**.

### 🚀 Características

- ✅ Crawlea sitios web en español con manejo correcto de encoding
- ✅ Extrae contenido limpio (markdown, texto plano o HTML)
- ✅ Elimina automáticamente navegación, ads, footers y boilerplate
- ✅ Divide contenido en chunks optimizados para RAG
- ✅ Detecta idioma automáticamente
- ✅ Incluye metadatos (título, descripción, URL fuente)

### 📋 Input

| Campo | Tipo | Default | Descripción |
|-------|------|---------|-------------|
| startUrls | Array | — | URLs semilla para comenzar el crawl |
| maxPages | Integer | 100 | Máximo de páginas a crawlear |
| outputFormat | String | "markdown" | Formato: markdown, text, o html |
| chunkSize | Integer | 2000 | Tamaño de chunk en caracteres (0 = sin split) |
| chunkOverlap | Integer | 200 | Superposición entre chunks |
| removeBoilerplate | Boolean | true | Eliminar navegación y ads |
| includeMetadata | Boolean | true | Incluir metadatos en output |

### 📊 Output

Cada registro incluye:

- `url` — URL fuente
- `title` — Título de la página
- `content` — Contenido extraído en el formato elegido
- `language` — Idioma detectado
- `chunkIndex` / `totalChunks` — Posición del chunk
- `charCount` / `wordCount` — Estadísticas
- `crawledAt` — Timestamp ISO

### 💰 Pricing

**Pay-Per-Event (PPE):** $0.25 por cada 1,000 páginas procesadas.
Sin costo adicional por cómputo.

### 🎯 Casos de uso

- Alimentar pipelines RAG con contenido en español
- Preparar datasets para fine-tuning de LLMs
- Monitorear contenido de sitios web hispanos
- Investigación académica y de mercado en LatAm

***

*Creado con Hermes Agent 🤖*

# Actor input Schema

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

List of URLs to crawl. Can be single pages or sitemaps.

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

Maximum number of pages to crawl (0 = unlimited, max 10000)

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

Format of the extracted content

## `chunkSize` (type: `integer`):

Split content into chunks of this size for RAG ingestion. 0 = no splitting.

## `chunkOverlap` (type: `integer`):

Overlap between consecutive chunks to maintain context

## `removeBoilerplate` (type: `boolean`):

Remove navigation, ads, footers, and other non-content elements

## `includeMetadata` (type: `boolean`):

Include page title, description, and URL in output

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://ejemplo.com/"
    }
  ],
  "maxPages": 100,
  "outputFormat": "markdown",
  "chunkSize": 2000,
  "chunkOverlap": 200,
  "removeBoilerplate": true,
  "includeMetadata": 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://ejemplo.com/"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("fanciful_geode/web-to-llm-es").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://ejemplo.com/" }] }

# Run the Actor and wait for it to finish
run = client.actor("fanciful_geode/web-to-llm-es").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://ejemplo.com/"
    }
  ]
}' |
apify call fanciful_geode/web-to-llm-es --silent --output-dataset

```

## MCP server setup

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

```

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/yVXHKb8y1zwOHfECD/builds/vHWAeBkrAwY60Fhrf/openapi.json