Tools / Scholarly Papers Search (Google Scholar alternative, OpenAlex)
Scholarly Papers Search (Google Scholar alternative, OpenAlex)
Search 250M+ scholarly works via the official OpenAlex API: DOI, authors, citations, open-access PDF links, abstracts. Input: queries, authorNames. Output (JSON/CSV): one row per item with title, publicationYear, venue, authors, citedByCount, isOpenAccess, pdfUrl, doi, isNew.
What it's for
- Literature reviews and citation-ranked reading lists
- Find researchers / institutions for B2B outreach in a field
- Alerts on new papers for a topic or author
Example input
{
"queries": [
"large language models agriculture"
],
"authorNames": [
"Geoffrey Hinton"
],
"dois": [
"10.1038/nature14539",
"10.9999/not-a-real-doi-zz"
],
"maxResultsPerQuery": 3,
"sortBy": "citations",
"monitorMode": true
}Example output
{
"input": "10.1038/nature14539",
"openalexId": "https://openalex.org/W2919115771",
"doi": "https://doi.org/10.1038/nature14539",
"title": "Deep learning",
"publicationYear": 2015,
"publicationDate": "2015-05-26",
"type": "article",
"venue": "Nature",
"publisher": "Nature Portfolio",
"authors": [
"Yann LeCun",
"Yoshua Bengio",
"Geoffrey E. Hinton"
],
"institutions": [
"Meta (United States)",
"New York University",
"Université de Montréal",
"Google (United States)",
"…"
],
"citedByCount": 84498,
"fwci": 3080.0301,
"isOpenAccess": true,
"oaStatus": "green",
"pdfUrl": "https://hal.science/hal-04206682",
"landingPageUrl": "https://doi.org/10.1038/nature14539",
"topics": [
"Neural Networks and Applications",
"Advanced Neural Network Applications",
"Domain Adaptation and Few-Shot Learning"
]
}
Input reference
| Field | Type | Notes |
|---|---|---|
queries | array | Keywords searched in title, abstract and full text. |
authorNames | array | Return works by the best-matching OpenAlex author. |
dois | array | Look up specific papers by DOI or doi.org URL. |
fromYear | integer | From year |
toYear | integer | To year |
openAccessOnly | boolean | Open access only |
workType | string | Work type |
sortBy | string | Sort by |
maxResultsPerQuery | integer | Max results per query/author |
includeAbstract | boolean | Include abstract |
contactEmail | string | Sent to OpenAlex for its faster polite pool. |
monitorMode | boolean | Remember seen works per query; later runs flag/output only new ones. |
stateStoreName | string | State store name |
apiKey | string | Free key from openalex.org/settings/api. Without it, runs share OpenAlex's small keyless daily budget and large jobs may stop with a budget error. With it, OpenAlex usage counts against your own free (10x) or paid budget. |
Pricing
Pay per event: Paper record $0.001. Plus Apify's small per-run start fee. Apify's free plan includes monthly credit to try it.
How to run
- Open the Store page and click Try for free.
- Fill in the input (or paste the example JSON in the JSON tab).
- Click Start, then export results as CSV, Excel or JSON, or call it via the Apify API.
- Optional: add a Schedule and a webhook/Slack/email integration for ongoing monitoring.
Open Scholarly Papers Search (Google Scholar alternative, OpenAlex) on Apify →