# SciELO Scraper (`dadhalfdev/scielo-scraper`) Actor

Scrape journal articles from SciELO. Use the same search filters as the site or paste a URL — the URL wins when set.

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

## Pricing

from $2.00 / 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

## 📚 SciELO Scraper

Want [SciELO](https://search.scielo.org/) journal 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.

SciELO is a large open library of journals from Latin America, Spain, Portugal, South Africa, and more. This actor returns up to 2000 rows per run.

### 💡 Perfect for...

- **Researchers:** Export articles by keyword, country library, subject, or year.
- **Dashboards:** Track new papers without paging the site.
- **Literature reviews:** Slice results by language, article type, or newest first.
- **Data analysts:** Export structured rows with public article URLs.
- **🤖 AI Agents:** Power Claude, Cursor, Codex, the Hermes Agent, and OpenClaw workflows with live SciELO 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 SciELO search URL, or pick the same filters as the site. `input_url` always wins when set.
- 🎯 **Website-Matched Filters:** Keyword, collection, language, subject, article type, year, and sort.
- 🌐 **Article cards:** Title, authors, journal, collection, year, language, and the public article URL.

### 📦 What's inside the data?

`id`, `url`, `title`, `authors`, `journal`, `collection`, `year`, `language`

### 🚀 Quick start

**Option A:** paste `https://search.scielo.org/?q=covid`.
**Option B:** type a keyword, pick Brazil or another collection, and set `max_results`.

**Input Example (filters):**

```json
{
  "query": "covid",
  "collection": "scl",
  "subject": "Health Sciences",
  "max_results": 100
}
```

**Input Example (URL):**

```json
{
  "input_url": "https://search.scielo.org/?q=dengue",
  "max_results": 100
}
```

**Output Example:**

```json
{
  "id": "S0102-311X2020001205001",
  "url": "https://www.scielo.br/j/csp/a/example/",
  "title": "COVID-19 in Brazil: a public health challenge",
  "authors": "Silva, Ana; Souza, Pedro",
  "journal": "Cadernos de Saúde Pública",
  "collection": "Brazil",
  "year": 2020,
  "language": "English, Portuguese"
}
```

**Output fields:**

| Field | Description |
|-------|-------------|
| `id` | Article id on SciELO. |
| `url` | Public article page. |
| `title` | Article title. |
| `authors` | Author names when shown. |
| `journal` | Journal name. |
| `collection` | Country or thematic library. |
| `year` | Publication year when shown. |
| `language` | Languages listed on the card. |

### 📋 Input reference

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `input_url` | string | No | — | SciELO search URL. Overrides every filter. |
| `query` | string | No | covid | Same as the site search box. Use `*` for everything. |
| `collection` | string enum | No | all | Brazil, Mexico, and the other SciELO libraries. |
| `language` | string enum | No | any | Article language. |
| `subject` | string enum | No | all | Thematic area such as Health Sciences. |
| `article_type` | string enum | No | all | Article, review, editorial, and similar types. |
| `sort` | string enum | No | newest | Relevance, newest, oldest, most cited, or most accessed. |
| `year` | integer | No | — | Exact publication year. |
| `max_results` | integer | No | `50` | Maximum rows (`1`–`2000`). |

# Actor input Schema

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

Paste a SciELO search URL. Overrides every filter when set.

## `query` (type: `string`):

Same as the SciELO search box. Use \* to match everything.

## `collection` (type: `string`):

National or thematic library, same list as the SciELO collection filter.

## `language` (type: `string`):

Article language, same list as the site language filter.

## `subject` (type: `string`):

Thematic area, same list as the SciELO subject filter.

## `article_type` (type: `string`):

Kind of document, same list as the site type filter.

## `sort` (type: `string`):

Result order, same choices as the SciELO sort menu.

## `year` (type: `integer`):

Exact publication year, such as 2020. Leave empty for any year.

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

How many rows to return (1–2000).

## Actor input object example

```json
{
  "query": "covid",
  "collection": "",
  "language": "",
  "subject": "",
  "article_type": "",
  "sort": "YEAR_DESC",
  "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/scielo-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/scielo-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/scielo-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dadhalfdev/scielo-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/ejbTXwGHNcnv6Ty8e/builds/HlFhfIgno18f8IWjf/openapi.json