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OpenAlex Research Search

Pricing

from $1.00 / 1,000 dataset items

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OpenAlex Research Search

OpenAlex Research Search

Search 250M+ scholarly works across ALL fields (journals, preprints, reviews) on OpenAlex — key-free, no login. Year range, open-access-only, min-citations, sort by relevance / most-cited / newest. Per work: DOI, OA fulltext, citations, concepts, authors.

Pricing

from $1.00 / 1,000 dataset items

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Developer

jedi solana

jedi solana

Maintained by Community

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2 days ago

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Search 250M+ scholarly works across ALL fields (journals, preprints, reviews) on OpenAlex — key-free, no login. Year range, open-access-only, min-citations, sort by relevance / most-cited / newest. Per work: DOI, OA fulltext, citations, concepts, authors.

What you get

Every run writes a dataset with one row per record:

{
"title": "A Survey on Evaluation of Large Language Models",
"doi": "https://doi.org/10.1145/3641289",
"url": "https://doi.org/10.1145/3641289",
"open_access_url": null,
"source": "ACM Transactions on Intelligent Systems and Technology",
"year": "2024",
"work_type": "article",
"cited_by_count": 2735,
"open_access": false,
"concepts": [
"Popularity",
"Computer science",
"Psychology",
"Social psychology"
],
"authors": [
"Yupeng Chang",
"Xu Wang",
"Jindong Wang"
]
}

Input

{
"query": "large language models",
"limit": 10,
"year_from": 2024,
"year_to": 2026,
"oa_only": false,
"min_citations": 0,
"sort_by": "relevance"
}
FieldTypeDescription
querystringQuery: the query parameter. Default: "large language models".
limitintegerLimit: the limit parameter. Default: 10.
year_fromintegerYearFrom: the yearfrom parameter. Default: 2024.
year_tointegerYearTo: the yearto parameter. Default: 2026.
oa_onlybooleanOaOnly: the oaonly parameter. Default: false.
min_citationsintegerMinCitations: the mincitations parameter. Default: 0.
sort_bystringSortBy: the sortby parameter. Default: "relevance".

Use cases

  • Monitor on a schedule — run this Actor on a timer and get a fresh, normalized snapshot every time; diff the datasets to see what changed.
  • Feed a dashboard or model — clean, one-JSON-item-per-record output is ready to pipe into a spreadsheet, database, or LLM prompt without any post-processing.
  • Research & due diligence — pull a structured set of records for a topic, name, or window without scraping the public source by hand.

Limits & notes

  • No API key, no login: it only reads public endpoints/feeds. If the upstream source is degraded, the run still succeeds and returns an honest status item instead of failing.
  • Results reflect what the public source returned at run time (top-N windows, newest-first where applicable).
  • Pay-per-event via synthetic events: each default-dataset item is billed through apify-default-dataset-item ($0.001 per item), plus apify-actor-start.
  • Free to try on the free plan; PPE pricing applies to paid-plan users.

Categories

EDUCATION, DEVELOPER_TOOLS