Semantic Scholar Scraper — Papers & Citations avatar

Semantic Scholar Scraper — Papers & Citations

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from $1.50 / 1,000 results

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Semantic Scholar Scraper — Papers & Citations

Semantic Scholar Scraper — Papers & Citations

Academic papers & authors from Semantic Scholar — citations, influence, venue, DOI/arXiv, open-access PDF & author metrics. Bulk search & batch lookup. No key.

Pricing

from $1.50 / 1,000 results

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Ponderable Hydrometer

Ponderable Hydrometer

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Semantic Scholar Scraper — Papers, Citations & Authors

Search 200M+ academic papers with citation counts and open-access PDFs — or batch-look-up by DOI/arXiv/PMID — and pull author metrics. Sort by citations, filter by year and field. Free, keyless (optional key raises limits).

Built on the Semantic Scholar Graph API, using the reliable bulk-search and batch endpoints (not the heavily throttled plain search), so large runs actually complete.

What you get

Papers (type: "paper"):

  • paperId, title, year, publicationDate, venue
  • ImpactcitationCount, influentialCitationCount, referenceCount
  • Cross-IDsdoi, arxivId, pubMedId
  • authors (name + authorId), fieldsOfStudy, publicationTypes
  • openAccessPdf (direct PDF URL when available), abstract, url

Authors (type: "author") — name, affiliations, homepage, paperCount, citationCount, hIndex, url

Output sample

{
"type": "paper",
"paperId": "204e3073870fae3d05bcbc2f6a8e263d9b72e776",
"title": "Attention Is All You Need",
"year": 2017,
"publicationDate": "2017-06-12",
"venue": "Neural Information Processing Systems",
"authors": [{ "name": "Ashish Vaswani", "authorId": "40348417" }],
"citationCount": 98213,
"influentialCitationCount": 15042,
"referenceCount": 41,
"doi": "10.5555/3295222.3295349",
"arxivId": "1706.03762",
"pubMedId": null,
"fieldsOfStudy": ["Computer Science"],
"publicationTypes": ["JournalArticle", "Conference"],
"openAccessPdf": "https://arxiv.org/pdf/1706.03762",
"abstract": "The dominant sequence transduction models…",
"url": "https://www.semanticscholar.org/paper/204e3073870fae3d05bcbc2f6a8e263d9b72e776"
}

Modes

  • paper-search — search papers by query, sort, year, fieldsOfStudy (reliable bulk endpoint).
  • paper-detail — batch-look-up by ids (S2 id, DOI:…, ARXIV:…, PMID:…).
  • author-search — find authors by name (throttled pool — add a key).
  • author-papers — all papers for given authorIds (throttled pool — add a key).

Example input

{
"mode": "paper-search",
"query": "large language models",
"sort": "citationCount:desc",
"year": "2020-2024",
"maxResults": 100
}

By DOI/arXiv:

{ "mode": "paper-detail", "ids": ["ARXIV:1706.03762", "ARXIV:2005.14165"] }

Why this actor

  • Runs at scale — uses the bulk/batch pool that isn't rate-throttled, unlike naive scrapers.
  • Impact metrics — citation and influential-citation counts, not just titles.
  • Direct PDFs & cross-IDs — open-access PDF URLs plus DOI/arXiv/PMID for joining.
  • Keyless for papers; add an optional free key for author endpoints and higher throughput.

Pricing

Pay per result — $1.50 per 1,000 results (one paper or author = one result). No subscription or platform fees.

  • arXiv Scraper — preprints and metadata direct from arXiv.
  • CrossRef Scholarly Works Scraper — works and citation links via CrossRef.
  • PubChem Scraper — chemical compound data for chem/pharma research.

Notes & limits

  • Data is Semantic Scholar's official Graph API; the actor backs off on 429/5xx.
  • Author endpoints share a throttled anonymous pool — provide a free API key (from semanticscholar.org/product/api) for reliable author results and higher limits.
  • This actor is an independent tool, not affiliated with or endorsed by the Allen Institute for AI / Semantic Scholar.