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⇱ PubMed Scraper β€” Bulk Abstracts API for Pharma R&D Β· Apify


πŸ‘ PubMed Scraper β€” Bulk Abstracts API for Pharma R&D avatar

PubMed Scraper β€” Bulk Abstracts API for Pharma R&D

Pricing

$8.00 / 1,000 results

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PubMed Scraper β€” Bulk Abstracts API for Pharma R&D

Scrape PubMed abstracts by keyword with optional date filtering. Returns title, authors, DOI, abstract, journal, and publication date as structured JSON.

Pricing

$8.00 / 1,000 results

Rating

0.0

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Developer

πŸ‘ azureblue

azureblue

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2

Monthly active users

a month ago

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Bulk-extract structured PubMed abstracts by keyword, MeSH, author, or date range. Built for pharma R&D teams, systematic reviewers, and competitive-intelligence analysts who need clean JSON, not a browser session.


What this Actor does

Data source: NCBI E-utilities β€” the official PubMed API. No key required (3 req/sec uncapped).

Output is one JSON record per result, conforming to the azureblue/medical-core envelope so you can join across our other actors on sourceUrl and dataHash.


Use Cases

1. Systematic literature review automation

A researcher writing a meta-analysis on long-COVID neurology pulls 500 abstracts in one run with keyword: "long COVID cognitive impairment". Saves 6-10 hours/week of manual PubMed-portal trawling and integrates directly with Zotero/Rayyan/Excel.

2. Pharma competitive intelligence

A pharma CI analyst tracks every new publication on a competitor's molecule with a scheduled weekly run on keyword: "semaglutide cardiovascular". Detects investigator-led-study signals 2-4 weeks before press release.

3. Medical education content pipeline

A med-ed startup ingests current ESC heart-failure guidelines into their LLM-powered MCQ generator. Refresh every 2 weeks to keep question banks current without manual curation.


Input

{
"keyword":"myocardial infarction reperfusion",
"maxResults":50,
"dateFrom":"2022-01-01"
}

Output (sample item)

{
"pmid":"38123456",
"title":"Outcomes of primary PCI vs thrombolysis in STEMI: a meta-analysis",
"authors":[
"M\u00fcller A",
"Schmidt B",
"Jensen C"
],
"doi":"10.1016/j.jacc.2023.11.042",
"abstract":"Background: Primary PCI is the standard of care for STEMI... Conclusions: PCI significantly reduces 30-day mortality (OR 0.63, 95% CI 0.54\u20130.74).",
"pubDate":"2024-01-15",
"journal":"Journal of the American College of Cardiology"
}

Pricing

EventPriceWhen it fires
Per result$0.008Per scraped record pushed to the dataset

Trial mode: pass mode: "trial" to get 5 results free with no charges. Use it to evaluate output shape before subscribing.

Pricing on this Actor will rise on 2026-06-17 in line with our monetization tier upgrade. Subscribers active before then keep the current price.


Compliance

  • Public-data only β€” every endpoint is the source's official public interface. No login walls, no PHI, no paywalled content.
  • GDPR Art. 6(1)(f) / equivalent β€” buyer is responsible for downstream use of the extracted data.
  • Source attribution β€” every dataset item includes sourceUrl linking back to the canonical source.

Sister Actors β€” complementary coverage from azureblue


Changelog

See CHANGELOG.md in this Actor.

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