# Redalyc Scraper (`dadhalfdev/redalyc-scraper`) Actor

Scrape open-access journal articles from redalyc.org. Use a journal id or paste a URL — the URL wins when set.

- **URL**: https://apify.com/dadhalfdev/redalyc-scraper.md
- **Developed by:** [Marco Rodrigues](https://apify.com/dadhalfdev) (community)
- **Stats:** 2 total users, 1 monthly users, 50.0% 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?

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

## 📚 Redalyc Scraper

Want [Redalyc](https://www.redalyc.org/) open-access articles 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.

Redalyc hosts Latin American scientific journals. Journal **140** (Revista Mexicana de Investigación Educativa) has **106** issues. This actor walks those issues, then other homepage journals if you need more rows, and returns up to 2000 articles per run.

### 💡 Perfect for...

- **Researchers:** Export articles, authors, and years from Redalyc journals.
- **Dashboards:** Track new issues without paging the site.
- **Literature reviews:** Pull titles and PDF links from a journal collection.
- **Data analysts:** Export structured rows with public article URLs.
- **🤖 AI Agents:** Power Claude, Cursor, Codex, the Hermes Agent, and OpenClaw workflows with live Redalyc results.
- **📚 RAG Systems:** Feed titles, authors, and journals into retrieval pipelines.
- **🔗 AI Workflows:** Plug into LangChain, AutoGPT, CrewAI, and similar stacks.

### ✨ Why you'll love this scraper

- 🔗 **Input URL or Filters:** Paste a journal, issue, or article URL, or type a journal id. `input_url` always wins when set.
- 🎯 **Website-Matched Browse:** Starts at the journal you pick (default 140), walks every issue on the collection page, then continues through other journals from the homepage.
- 🌐 **Article cards:** Title, authors, journal, year, PDF link when shown, and public URL.

### 📦 What's inside the data?

`id`, `url`, `title`, `authors`, `journal`, `year`, `pdf_url`

### 🚀 Quick start

**Option A:** paste `https://www.redalyc.org/revista.oa?id=140`.
**Option B:** set `journal_id` to `140` and `max_results`.

**Input Example (filters):**

```json
{
  "journal_id": "140",
  "max_results": 100
}
```

**Input Example (URL):**

```json
{
  "input_url": "https://www.redalyc.org/revista.oa?id=140&tipo=coleccion",
  "max_results": 100
}
```

**Output Example:**

```json
{
  "id": "14084884001",
  "url": "https://www.redalyc.org/journal/140/14084884001/",
  "title": "LA RMIE: Producto de un trabajo de la comunidad de investigadores educativos",
  "authors": "Yazmín Cuevas Cajiga",
  "journal": "Revista Mexicana de Investigación Educativa",
  "year": 2026,
  "pdf_url": "https://www.redalyc.org/journal/140/14084884001/14084884001.pdf"
}
```

**Output fields:**

| Field | Description |
|-------|-------------|
| `id` | Redalyc article id. |
| `url` | Public article page. |
| `title` | Article title. |
| `authors` | Author names when shown. |
| `journal` | Journal title. |
| `year` | Publication year when shown. |
| `pdf_url` | PDF link when the issue lists one. |

### 📋 Input reference

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `input_url` | string | No | — | Journal (`revista.oa?id=`), issue, or article (`journal/` / `articulo.oa?id=`) URL. Overrides every filter. |
| `journal_id` | string | No | `140` | Journal number from the Redalyc journal page. |
| `discipline` | string enum | No | all | Subject area label (Administration … Multidisciplinary). Area pages do not list journals, so the actor still crawls the journal id and homepage journals. |
| `max_results` | integer | No | `50` | Maximum rows (`1`–`2000`). |

# Actor input Schema

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

Paste a Redalyc journal, issue, or article URL. Overrides every filter when set.

## `journal_id` (type: `string`):

Redalyc journal number from the journal page, for example 140 (Revista Mexicana de Investigación Educativa, 106 issues).

## `discipline` (type: `string`):

Subject area on Redalyc. Area pages do not list journals in HTML, so the actor still crawls the journal id and homepage journals.

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

How many rows to return (1–2000).

## Actor input object example

```json
{
  "journal_id": "140",
  "discipline": "",
  "max_results": 50
}
```

# Actor output Schema

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

Table view of scraped articles using the dataset 'overview' view.

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

All scraped articles 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/redalyc-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/redalyc-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/redalyc-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dadhalfdev/redalyc-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/g03wGOdkJaDmZK4El/builds/DRfsfglIhrnRykW5x/openapi.json