🧬 PubMed Biomedical & Clinical Research Scraper

Search and extract 36M+ peer-reviewed biomedical papers, clinical trials, medical journal citations, author affiliations, and DOI links directly from PubMed (NCBI / National Library of Medicine).

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🥊 Why This Actor Beats the Competition

Feature	⚡ PubMed Research Scraper	🐢 Traditional Web Crawlers
Speed	30+ citations in < 2 seconds	Slow DOM pagination across legacy NIH portals
Pricing	$1.20 / 1,000 items (Platform Usage: FREE)	High institutional database subscription fees
Comprehensive Data	DOIs, PubMed Central (PMC) links, journals, authors	Often misses digital object identifiers & open access links
Direct Full Text	Links directly to PMC free full-text & publisher DOIs	Requires manual citation tracking
Anti-Bot Blocking	Official NCBI E-utilities integration	Captcha challenges on third-party aggregators

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🛠️ Step-by-Step: How to Use

Method 1: Apify Web Console (No-Code GUI)

1. Enter your target Medical Topic / Search Query (e.g. crispr cas9, artificial intelligence radiology, car-t immunotherapy).
2. Set Max Items and click Start.
3. Download structured medical citation datasets in JSON, CSV, or Excel.

Method 2: Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
    "searchTerm": "mRNA vaccines oncology",
    "maxItems": 25
}
run = client.actor("litezero/pubmed-medical-research-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"PMID {item['pmid']}: {item['title']} ({item['journal']}, {item['pubDate']})")

Method 3: Node.js SDK

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/pubmed-medical-research-scraper').call({
    searchTerm: 'deep learning ophthalmology',
    maxItems: 20,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} PubMed articles.`);

Method 4: REST API / cURL

curl "https://api.apify.com/v2/acts/litezero~pubmed-medical-research-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerm": "glp-1 receptor agonists", "maxItems": 20}'

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📥 Input Parameters

Field	Type	Default	Description
searchTerm	String	"artificial intelligence radiology"	Biomedical keyword, medical topic, disease, or drug name to search.
maxItems	Integer	30	Maximum number of research articles to extract.

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📤 Output Data Dictionary

{
  "pmid": "38459201",
  "title": "Artificial intelligence in clinical radiology: practical implementation and future frontiers",
  "journal": "Radiology",
  "pubDate": "2024 Mar",
  "volume": "310",
  "issue": "3",
  "pages": "e231920",
  "authors": [
    "Smith J",
    "Johnson K",
    "Williams E"
  ],
  "doi": "10.1148/radiol.231920",
  "pubmedCentralId": "PMC10928374",
  "doiUrl": "https://doi.org/10.1148/radiol.231920",
  "pubmedUrl": "https://pubmed.ncbi.nlm.nih.gov/38459201/",
  "scrapedAt": "2026-10-04T10:00:00.000Z"
}

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💡 Top Use Cases

1. Biotech & Pharma Competitive Intelligence: Track breakthrough clinical findings, drug mechanisms, and therapeutic trials in real time.
2. Medical AI & RAG Knowledge Bases: Ingest validated biomedical research citations and abstracts into healthcare LLM applications.
3. Academic Meta-Analyses & Systematic Reviews: Automate literature screening across millions of peer-reviewed journals.