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OpenAlex Paper Search

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from $1.50 / 1,000 paper results

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OpenAlex Paper Search

OpenAlex Paper Search

Search 250M+ scholarly works via the official OpenAlex API (CC0 data). Filter by year, open access, citations; get DOI, venue, citation counts and open-access PDF links as clean rows.

Pricing

from $1.50 / 1,000 paper results

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Search more than 250 million scholarly works (journal articles, preprints, books, datasets) and get clean rows with title, year, venue, citation count, DOI and a free open-access link when one exists.

Uses the official OpenAlex API. OpenAlex data is released under CC0 (public domain), so the results can be used in commercial projects, reports and datasets. No website is scraped.

Why use this instead of the API directly

  • No code: fill a form, get a spreadsheet (CSV / Excel / JSON)
  • Paging, retries and rate limits handled for you (up to 10,000 results per run)
  • Nested API JSON flattened into one row per paper
  • Easy to plug into Make, Zapier, n8n, or an LLM / RAG pipeline that needs paper lists with links

Input

{
"query": "\"large language models\" education",
"sort": "relevance",
"fromYear": 2022,
"openAccessOnly": true,
"maxResults": 200
}
FieldNotes
queryUse double quotes for exact phrases.
searchIntitle_and_abstract (default, precise) or fulltext (broader).
sortrelevance, citations (most cited), newest.
fromYear / toYearPublication year range.
openAccessOnlyOnly papers with a free legal copy.
minCitationse.g. 50 for well-known papers only.
typearticle, review, preprint, book, book-chapter, dissertation, dataset.
languageISO code such as en or ja.
apiKeyOptional free OpenAlex key for bigger runs.

Output (one row per paper)

{
"openAlexId": "https://openalex.org/W4319460874",
"doi": "https://doi.org/10.1016/j.lindif.2023.102274",
"title": "ChatGPT for good? On opportunities and challenges of large language models for education",
"publicationYear": 2023,
"publicationDate": "2023-03-09",
"type": "article",
"language": "en",
"venue": "Learning and Individual Differences",
"landingPageUrl": "https://doi.org/10.1016/j.lindif.2023.102274",
"citedByCount": 2500,
"isOpenAccess": true,
"openAccessStatus": "hybrid",
"openAccessUrl": "https://...",
"authors": ["Enkelejda Kasneci", "..."],
"topic": "Artificial Intelligence in Education",
"field": "Social Sciences"
}

(Values above are illustrative.)

Use cases

  • Literature reviews: the 200 most cited papers on a topic, with free PDF links
  • Market / technology research: what is being published on a subject each year
  • Feeding a RAG system with paper metadata and open-access links
  • Monitoring new papers weekly with a schedule and sort: newest

What is not included

  • Abstracts and full texts are not copied (publishers may hold the copyright). Follow openAccessUrl or landingPageUrl to read them.
  • Author contact details are not collected. Author names are included only as bibliographic metadata.

Pricing

Pay per event, platform usage included:

EventPrice
Actor start$0.01 per run
paper-result – one paper returned$1.50 per 1,000 papers

Example: a search returning 200 papers costs $0.01 + $0.30 = $0.31.

Credits

Data from OpenAlex (Priem, J., Piwowar, H., & Orr, R. 2022, arXiv:2205.01833). This Actor is not affiliated with or endorsed by OpenAlex / OurResearch.

日本語での説明

公式 OpenAlex API(データは CC0 で商用利用可)を使って、2億5千万件以上の論文を検索し、タイトル・年・掲載誌・被引用数・DOI・無料で読めるリンクを表にして返します。サイトのスクレイピングはしません。要旨や本文はコピーしません。