Search papers, grants, and
researcher profiles at scale
Extract publications from PubMed, OpenAlex, and Semantic Scholar. Find researchers via ORCID. Track NIH grants. Build literature review datasets without manual searching.
The problem
Literature reviews require searching multiple databases — PubMed, Google Scholar, Semantic Scholar, ORCID — and manually tracking results. A systematic review of 500+ papers takes weeks of searching, deduplicating, and organising.
The solution
Apify actors search academic databases programmatically. PubMed for biomedical literature. OpenAlex for cross-discipline papers. Semantic Scholar for AI-powered relevance. ORCID for researcher profiles. Run batch queries, deduplicate results, and export structured datasets for systematic reviews.
How it works
Define search criteria
Specify your keywords, date ranges, journals, and inclusion/exclusion criteria — just like a systematic review protocol.
Search across databases
Run PubMed, OpenAlex, and Semantic Scholar actors with the same queries. Each returns structured data: title, authors, abstract, citations, DOI.
Deduplicate and merge
Export results from all sources, deduplicate by DOI, and merge into a master dataset. Flag papers appearing in multiple databases for higher confidence.
Analyse and visualise
Import into reference managers via CSV, or feed into bibliometric analysis tools. Use citation counts to identify seminal papers and trends.
What does it cost?
Searching 50 queries across 3 databases costs $2-5 in PPE charges. A full systematic review dataset of 2,000 papers: $10-25. Monthly monitoring: $5-10.
Estimate your cost →Useful tools
Ready to get started?
Connect your Apify account and start running actors in under 2 minutes. Free.
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