5 Free Academic APIs You Should Know (250M+ Papers, No Scraping Needed)

Stop Scraping Google Scholar If you're scraping Google Scholar, you're doing it wrong. There are 5 completely free APIs that give you structured access to 250M+ academic papers — with proper data fields, citation graphs, and even AI summaries. I've been building research tools with these APIs for months. Here's what each one does best. 1. OpenAlex — The Discovery Engine (250M+ papers, no key) Best for: Finding papers, tracking research trends, author analytics import requests # Search papers — sorted by most cited resp = requests . get ( " https://api.openalex.org/works " , params = { " search " : " CRISPR gene editing " , " sort " : " cited_by_count:desc " , " per_page " : 5 }) for work in resp . json ()[ " results " ]: print ( f " [ { work [ ' publication_year ' ] } ] { work [ ' title ' ] } " ) print ( f " { work [ ' cited_by_count ' ] } citations " ) Why it's special: Broadest coverage (250M+ works), includes h-index for authors, tracks institutional affiliations. No API key needed.