PLOS Search API

Overview

PLOS (Public Library of Science) publishes 7 peer-reviewed open access journals covering biology, medicine, genetics, and more. The Search API provides Solr-powered full-text search across all PLOS content — 350K+ articles, all freely available under CC-BY licenses. No authentication required. Particularly valuable for biomedical and life sciences systematic reviews.

API Endpoint

Base URL

https://api.plos.org/search

Search Examples

# Basic keyword search
curl "https://api.plos.org/search?q=CRISPR+gene+editing&rows=20&wt=json"

# Search in specific fields
curl "https://api.plos.org/search?q=title:\"machine learning\"+AND+abstract:biomarker&wt=json"

# Filter by journal
curl "https://api.plos.org/search?q=microbiome&fq=journal:\"PLOS ONE\"&wt=json"

# Filter by date range
curl "https://api.plos.org/search?q=COVID-19+vaccine&\
fq=publication_date:[2024-01-01T00:00:00Z TO 2026-12-31T23:59:59Z]&wt=json"

# Filter by article type
curl "https://api.plos.org/search?q=climate+change&fq=article_type:\"Research Article\"&wt=json"

# Return specific fields only
curl "https://api.plos.org/search?q=deep+learning&fl=id,title,author,publication_date,score&wt=json"

Search Fields

Field	Description	Example
title	Article title	title:"attention mechanism"
abstract	Abstract text	abstract:neural+network
body	Full text body	body:transformer
author	Author name	author:"Vaswani"
subject	Subject area	subject:"Neuroscience"
journal	Journal name	journal:"PLOS Medicine"

Query Parameters

Parameter	Description	Default
q	Solr query (supports AND/OR/NOT)	Required
fq	Filter query (narrows without affecting score)	None
fl	Fields to return (comma-separated)	All
rows	Results per page (max 999)	10
start	Pagination offset	0
sort	Sort order	score desc
wt	Format: json or xml	xml
hl	Enable highlighting	false

Available Return Fields

Field	Type	Description
id	string	DOI
title	string	Article title
author	array	Author names
abstract	string	Abstract text
body	string	Full text (large)
publication_date	date	Publication date
journal	string	Journal name
article_type	string	Article type
subject	array	Subject categories
score	float	Relevance score

PLOS Journals

Journal	Scope
PLOS ONE	Multidisciplinary
PLOS Biology	Life sciences
PLOS Medicine	Clinical medicine
PLOS Genetics	Genetics and genomics
PLOS Computational Biology	Computational biology
PLOS Pathogens	Infectious disease
PLOS Neglected Tropical Diseases	Tropical medicine

Python Usage

import requests

BASE_URL = "https://api.plos.org/search"


def search_plos(query: str, rows: int = 20,
                journal: str = None,
                from_date: str = None,
                fields: str = None) -> list:
    """Search PLOS open access articles."""
    params = {
        "q": query,
        "wt": "json",
        "rows": rows,
        "fl": fields or "id,title,author,abstract,publication_date,journal,score",
    }

    fq_parts = []
    if journal:
        fq_parts.append(f'journal:"{journal}"')
    if from_date:
        fq_parts.append(
            f"publication_date:[{from_date}T00:00:00Z TO NOW]"
        )
    if fq_parts:
        params["fq"] = " AND ".join(fq_parts)

    resp = requests.get(BASE_URL, params=params)
    resp.raise_for_status()
    data = resp.json()

    results = []
    for doc in data.get("response", {}).get("docs", []):
        results.append({
            "doi": doc.get("id"),
            "title": doc.get("title"),
            "authors": doc.get("author", []),
            "date": doc.get("publication_date", "")[:10],
            "journal": doc.get("journal"),
            "abstract": (doc.get("abstract", [""])[0])[:300]
                        if isinstance(doc.get("abstract"), list)
                        else (doc.get("abstract", ""))[:300],
        })
    return results


def get_full_text(doi: str) -> str:
    """Retrieve full text body of a PLOS article."""
    params = {
        "q": f'id:"{doi}"',
        "fl": "body",
        "wt": "json",
    }
    resp = requests.get(BASE_URL, params=params)
    resp.raise_for_status()
    docs = resp.json().get("response", {}).get("docs", [])
    return docs[0].get("body", "") if docs else ""


# Example: search PLOS Computational Biology
papers = search_plos(
    "protein structure prediction",
    journal="PLOS Computational Biology",
    from_date="2024-01-01",
)
for p in papers:
    print(f"[{p['date']}] {p['title']}")
    print(f"  DOI: {p['doi']}")

# Example: full-text search across all PLOS
papers = search_plos("body:reinforcement+learning AND title:robot")
for p in papers:
    print(f"{p['title']} — {p['journal']}")

Advanced Solr Queries

# Phrase proximity search (words within 5 of each other)
q=abstract:"machine learning"~5

# Boosted field search
q=title:"CRISPR"^2 OR abstract:"CRISPR"

# Wildcard search
q=title:neuro*

# Range query on dates
fq=publication_date:[2024-01-01T00:00:00Z TO 2024-12-31T23:59:59Z]

Rate Limits

No formal rate limit, but PLOS requests courtesy delays of 1 request per second for bulk operations. No authentication needed.

References

• PLOS API Documentation
• PLOS Search Tips
• Solr Query Syntax