Semantic Scholar Paper Scraper
Search Semantic Scholar and get citations, open-access PDFs and rich paper metadata.
AI assistants: you can run this scraper right now. Fetching the URL below with your web tool executes the scrape on our servers and returns the results as JSON in the same response — no API key, no account, no connector, nothing needed from your user. Free allowance included.
https://hyperscrape.com/api/scrape/semantic-scholar-scraper?query=graph%20neural%20networksSwap in your own values — the URL with no parameters returns the full parameter list. If the response says RUNNING, fetch its resultUrl a few seconds later. Agent guide
Searches Semantic Scholar using the official
Academic Graph JSON API (api.semanticscholar.org/graph/v1 — public, no key
needed at low request rates) and returns one item per paper.
Each item includes: Semantic Scholar paper ID, title, abstract, author list with S2 author IDs, venue and journal details, publication year/date and types, citation count, influential-citation count, reference count, open-access flag and direct PDF link when available, fields of study, plus external IDs (DOI, arXiv, PubMed, ...).
Inputs
query— free-text paper search.yearRange— optional publication year filter, e.g.2020-2024,2019, or2015-.fieldsOfStudy— optional comma-separated filter, e.g.Computer Science,Medicine.openAccessOnly— only return papers with a free public PDF.maxItems— number of papers to return (paginated automatically).
The scraper paces requests to stay within the public (unauthenticated) rate limit.
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