OpenAlex Scraper - 250M Papers & Citations
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from $1.00 / 1,000 results
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
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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
| Field | Example |
|---|---|
oaId, doi | OpenAlex id and DOI |
title | Attention Is All You Need |
abstract | reconstructed abstract text |
authors | full author list |
journalName | Nature Communications |
type | article, book-chapter, preprint, dataset |
publicationDate, publicationYear | when it appeared |
citedByCount | how often it has been cited |
referencedWorksCount, referencedWorks | its own bibliography |
concepts | OpenAlex concept tags with scores |
keywords | extracted keywords |
isOpenAccess, openAccessUrl | whether a free full text exists and where |
sourceUrls | additional 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 -
referencedWorksgives 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.
citedByCountcounts citations known to OpenAlex and typically sits between Crossref and Google Scholar figures.referencedWorkscan 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.