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OpenAlex Scraper - 250M Papers & Citations

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OpenAlex Scraper - 250M Papers & Citations

OpenAlex Scraper - 250M Papers & Citations

Extract academic works from OpenAlex, an open index of 250M+ papers. Returns DOI, title, abstract, authors, journal, publication date, citation count, referenced work count, concepts, keywords, open access status and full text link. Filter by concept, year and open access for bibliometrics.

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from $1.00 / 1,000 results

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Ryan Zinburg

Ryan Zinburg

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OpenAlex Scraper - 250M Papers, Citations & Concepts

Extract scholarly works from OpenAlex, the open index of the scientific record built as a successor to Microsoft Academic Graph. More than 250 million works with citation counts, author lists, concept tags and open access links.

Public API, no key required, no proxy needed.

What you get per work

FieldExample
oaId, doiOpenAlex id and DOI
titleAttention Is All You Need
abstractreconstructed abstract text
authorsfull author list
journalNameNature Communications
typearticle, book-chapter, preprint, dataset
publicationDate, publicationYearwhen it appeared
citedByCounthow often it has been cited
referencedWorksCount, referencedWorksits own bibliography
conceptsOpenAlex concept tags with scores
keywordsextracted keywords
isOpenAccess, openAccessUrlwhether a free full text exists and where
sourceUrlsadditional locations of the work

Search filters

  • searchQuery - free text across title, abstract and full text, e.g. machine learning
  • filterConcept - restrict to an OpenAlex concept, e.g. Artificial intelligence
  • filterYear - a year or a range
  • filterOpenAccess - only works with a free full text
  • sortBy - citation count, publication date or relevance
  • includeAbstract - include the reconstructed abstract
  • maxResults - how many works to save

Example input

{
"searchQuery": "machine learning",
"filterYear": "2026",
"filterOpenAccess": true,
"sortBy": "cited_by_count",
"maxResults": 500
}

Use cases

  • Bibliometrics and research analytics - measure output and impact by topic, year and venue
  • Literature reviews - export a citation-aware corpus rather than copying references manually
  • Research scouting - find the most cited recent work in a narrow concept
  • Academic recruiting - identify prolific authors in a field
  • Open access analysis - quantify what share of a field is freely readable, and where
  • Citation network building - referencedWorks gives you edges, not just nodes

Why OpenAlex

OpenAlex is fully open: no key, no licence fee and no cap on commercial use, which is unusual in this field. It also carries concept tags and citation edges in the same record, so a single export supports both topic analysis and network analysis. Coverage is broader than any single publisher index because it merges Crossref, PubMed, repositories and publisher feeds.

Notes

  • Abstracts are reconstructed from an inverted index, so the wording is the original but spacing can differ slightly from the publisher version.
  • citedByCount counts citations known to OpenAlex and typically sits between Crossref and Google Scholar figures.
  • referencedWorks can be long for review articles; leave it in only if you are building a citation graph.
  • Concept tags are machine-assigned with confidence scores, so treat low-scoring concepts with care.