# Xataka Scraper (`dadhalfdev/xataka-scraper`) Actor

Scrape news stories and full article text from xataka.com. Filter by section or keyword, or paste a Xataka URL.

- **URL**: https://apify.com/dadhalfdev/xataka-scraper.md
- **Developed by:** [Marco Rodrigues](https://apify.com/dadhalfdev) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## 📰 Xataka Scraper

Want [Xataka](https://www.xataka.com/) stories in a spreadsheet? This scraper makes it easy.

Use **structured filters** — better for AI agents — **or** paste an **`input_url`**. When `input_url` is set it overrides the filters.

Xataka is a Spanish technology magazine covering gadgets, mobility, science, and the tech industry. Every row includes the full article text in `content`. This actor returns up to 2000 rows per run.

### 💡 Perfect for...

- **Media monitoring:** Track Spanish technology news by section or keyword.
- **Dashboards:** Collect headlines, authors, timestamps, and full article text.
- **Research:** Slice coverage across mobility, science, business, and computing.
- **Data analysts:** Export structured rows with public story URLs and photos.
- **🤖 AI Agents:** Power Claude, Cursor, Codex, the Hermes Agent, and OpenClaw workflows with live Xataka stories.
- **📚 RAG Systems:** Feed titles, summaries, and full article text into retrieval pipelines.
- **🔗 AI Workflows:** Plug into LangChain, AutoGPT, CrewAI, and similar stacks.

### ✨ Why you'll love this scraper

- 🔗 **Input URL or Filters:** Paste any Xataka section, topic, or story URL, or type a section name. `input_url` always wins when set.
- 🎯 **Website-Matched Filters:** Section names from the Xataka menu, such as Movilidad, Robótica e IA, Empresas y economía, Espacio, Magnet, and Ordenadores, plus keyword search.
- 🌐 **Full article text:** Every story includes the complete body text in `content`, plus the author name and the original photo URL.

### 📦 What's inside the data?

`id`, `url`, `title`, `author`, `authors`, `published`, `updated`, `section`, `sections`, `tags`, `description`, `content`, `image`

### 🚀 Quick start

**Option A:** paste `https://www.xataka.com/categoria/movilidad`.
**Option B:** type a section or keyword and set `max_results`.

**Input Example (filters):**

```json
{
  "section": "Movilidad",
  "max_results": 100
}
```

**Input Example (URL):**

```json
{
  "input_url": "https://www.xataka.com/categoria/movilidad",
  "max_results": 100
}
```

**Output Example:**

```json
{
  "id": "tuneladora-mayrit-se-acerca-a-atocha-extraer-189-000-metros-cubicos-perforar-tres-kilometros-suelo-madrid",
  "url": "https://www.xataka.com/movilidad/tuneladora-mayrit-se-acerca-a-atocha-extraer-189-000-metros-cubicos-perforar-tres-kilometros-suelo-madrid",
  "title": "La tuneladora Mayrit se acerca a Atocha tras extraer 189.000 metros cúbicos y perforar tres kilómetros del suelo de Madrid",
  "author": "Alberto de la Torre",
  "authors": ["Alberto de la Torre"],
  "published": "2026-10-21T17:31:37Z",
  "updated": "2026-10-21T17:31:37Z",
  "section": "Xataka Movilidad",
  "sections": ["Xataka Movilidad"],
  "tags": null,
  "description": "Si eres madrileño seguro que has echado un ojo al calendario laboral del año que viene y te has dado cuenta de un pequeño problema: desde semana santa no hay ni un sólo día de descanso.",
  "content": "Si eres madrileño seguro que has echado un ojo al calendario laboral del año que viene y te has dado cuenta de un pequeño problema: desde semana santa (23-24 de marzo) hasta el lunes 16 de agosto no hay ni un sólo día de descanso. Al menos, nos quedan los fines de semanas y los días de vacaciones que solemos guardarnos.",
  "image": "https://i.blogs.es/fcff40/rob06557/1200_900.jpeg"
}
```

**Output fields:**

| Field | Description |
|-------|-------------|
| `id` | Xataka story slug. |
| `url` | Public story page. |
| `title` | Story headline. |
| `author` | Primary author name. |
| `authors` | All author names on the byline. |
| `published` | Publication timestamp. |
| `updated` | Last update timestamp. |
| `section` | Section name. |
| `sections` | Sections assigned to the story. |
| `tags` | Topic tags on the story. |
| `description` | Lead summary. |
| `content` | Full article text. |
| `image` | Lead image URL. |

### 📋 Input reference

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `input_url` | string | No | — | Xataka section, topic, or story URL. Overrides every filter. |
| `section` | string | No | — | A section name from the Xataka menu, such as Movilidad or Robótica e IA. |
| `keyword` | string | No | — | Search keyword. |
| `max_results` | integer | No | `50` | Maximum rows (`1`–`2000`). |

# Actor input Schema

## `input_url` (type: `string`):

Paste a Xataka section, topic, or article URL. Overrides every filter when set.

## `section` (type: `string`):

Section name from the Xataka menu, such as Movilidad, Robótica e IA, Empresas y economía, Espacio, Magnet, or Ordenadores.

## `keyword` (type: `string`):

Search keyword across Xataka stories.

## `max_results` (type: `integer`):

How many stories to return (1-2000).

## Actor input object example

```json
{
  "max_results": 50
}
```

# Actor output Schema

## `overview` (type: `string`):

Table view of scraped stories using the dataset overview view.

## `results` (type: `string`):

All scraped stories from the default dataset without view transformation.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("dadhalfdev/xataka-scraper").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("dadhalfdev/xataka-scraper").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 '{}' |
apify call dadhalfdev/xataka-scraper --silent --output-dataset

```

## MCP server setup

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

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/7JvQA694H71YgeOtO/builds/w9X8FoprAIhNdR8OQ/openapi.json