OpenAlex Research Search
Pricing
from $1.00 / 1,000 dataset items
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
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2
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1
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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"}
| Field | Type | Description |
|---|---|---|
query | string | Query: the query parameter. Default: "large language models". |
limit | integer | Limit: the limit parameter. Default: 10. |
year_from | integer | YearFrom: the yearfrom parameter. Default: 2024. |
year_to | integer | YearTo: the yearto parameter. Default: 2026. |
oa_only | boolean | OaOnly: the oaonly parameter. Default: false. |
min_citations | integer | MinCitations: the mincitations parameter. Default: 0. |
sort_by | string | SortBy: 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), plusapify-actor-start. - Free to try on the free plan; PPE pricing applies to paid-plan users.
Categories
EDUCATION, DEVELOPER_TOOLS