SciELO API

SkillDev tools

Access Latin American and developing world research via SciELO API

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the SciELO API skill

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/43-wentorai-research-plugins/skills/literature/search/scielo-api/SKILL.md and read by ahel’s review.

Overview

SciELO (Scientific Electronic Library Online) is the primary open access platform for scholarly journals in Latin America, the Caribbean, Spain, Portugal, and South Africa. It indexes 1,800+ peer-reviewed journals and 900K+ articles, many not indexed elsewhere. All content is open access. The API provides article search, journal metadata, and bibliometric indicators. Free, no authentication required.

API Endpoints

ArticleMeta API

Search and retrieve articles:

# Search articles by keyword
curl "https://articlemeta.scielo.org/api/v1/article/?collection=scl&q=machine+learning"

# Get article by PID (SciELO identifier)
curl "https://articlemeta.scielo.org/api/v1/article/?code=S0100-204X2024000100001"

# Filter by collection (country)
curl "https://articlemeta.scielo.org/api/v1/article/?collection=esp&q=climate+change"

# Filter by journal ISSN
curl "https://articlemeta.scielo.org/api/v1/article/?issn=0100-204X&from_date=2024-01-01"

Collection Codes

CodeCountry/Region
sclBrazil
espSpain
mexMexico
colColombia
chlChile
argArgentina
cubCuba
venVenezuela
prtPortugal
zafSouth Africa

Journal Metadata

# List journals in a collection
curl "https://articlemeta.scielo.org/api/v1/journal/?collection=scl"

# Get journal by ISSN
curl "https://articlemeta.scielo.org/api/v1/journal/?issn=0100-204X"

# Journal indicators
curl "https://analytics.scielo.org/api/v1/journal/?issn=0100-204X"

SciELO Search API

Full-text search with facets:

# Full-text search
curl "https://search.scielo.org/?q=biodiversity+conservation&format=json&count=20"

# Filter by subject area
curl "https://search.scielo.org/?q=neural+networks&filter[subject_area]=Computer+Science&format=json"

# Filter by year range
curl "https://search.scielo.org/?q=CRISPR&filter[year_cluster]=2023-2026&format=json"

# Filter by language
curl "https://search.scielo.org/?q=epidemiology&filter[la]=en&format=json"

Query Parameters

ParameterDescriptionExample
qFree-text queryq=tropical+ecology
collectionCountry codecollection=scl
issnJournal ISSNissn=0100-204X
from_dateArticles from datefrom_date=2024-01-01
until_dateArticles until dateuntil_date=2026-12-31
formatResponse formatjson, xml
countResults per pagecount=50
offsetPagination offsetoffset=20

Python Usage

import requests

ARTICLE_API = "https://articlemeta.scielo.org/api/v1"
SEARCH_API = "https://search.scielo.org"


def search_scielo(query: str, collection: str = None,
                  count: int = 20) -> list:
    """Search SciELO articles."""
    params = {"q": query, "format": "json", "count": count}
    if collection:
        params["collection"] = collection

    resp = requests.get(f"{SEARCH_API}/", params=params)
    resp.raise_for_status()
    data = resp.json()

    results = []
    for doc in data.get("docs", data.get("results", [])):
        results.append({
            "title": doc.get("title", {}).get("en", doc.get("title", "")),
            "authors": doc.get("authors", []),
            "journal": doc.get("journal_title", ""),
            "year": doc.get("publication_year", ""),
            "doi": doc.get("doi", ""),
            "pid": doc.get("pid", ""),
            "language": doc.get("la", []),
            "url": f"https://scielo.org/article/{doc.get('pid', '')}",
        })
    return results


def get_article(pid: str) -> dict:
    """Get full article metadata by SciELO PID."""
    resp = requests.get(
        f"{ARTICLE_API}/article/",
        params={"code": pid, "format": "json"},
    )
    resp.raise_for_status()
    return resp.json()


def list_journals(collection: str = "scl") -> list:
    """List journals in a SciELO collection."""
    resp = requests.get(
        f"{ARTICLE_API}/journal/",
        params={"collection": collection, "format": "json"},
    )
    resp.raise_for_status()
    return resp.json()


# Example: find Brazilian ecology research
papers = search_scielo("Amazon deforestation biodiversity", collection="scl")
for p in papers:
    print(f"[{p['year']}] {p['title']} — {p['journal']}")

# Example: find Spanish medical research
papers = search_scielo("diabetes treatment", collection="esp")
for p in papers:
    print(f"{p['title']} (DOI: {p['doi']})")

Subject Areas Covered

  • Agricultural Sciences, Biological Sciences, Health Sciences
  • Engineering, Exact Sciences, Earth Sciences
  • Human Sciences, Social Sciences, Linguistics/Arts

Unique Value

  • Regional focus: Primary index for Latin American and Iberian research
  • Language diversity: Portuguese, Spanish, English content
  • 100% open access: All indexed content freely available
  • Underrepresented research: Many journals not in Scopus/WoS

References

Signals

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Item type
skill
Key
scielo-api
Source
github.com/brycewang-stanford/auto-empirical-research-skills