DEVELOPER TOOLSAI API MCP READY

Google Scholar Lite - Cheap Bulk Academic

Search Google Scholar for academic papers in bulk and export clean JSON: title, authors, journal, year, citation count, and PDF links. Fast bibliometric search for literature reviews, citation discovery, and research datasets. Pay per paper from $1.50 per 1,000, with no setup or per-run fee.

MEDIAN LAGon demand
PARAMETERS5
TOTAL USERS26
MONTHLY ACTIVE10
TOTAL RUNS249
SUCCESS (30D)100.0%
RATING5.0 (4)
LAST MODIFIED2026-10-04
PUBLISHED2026-05

Input parameters

PARAMETERTYPEREQDEFAULTDESCRIPTION
searchTerms string[] yes — Provide one or more search queries, for example 'transformer attention mechanism' or 'CRISPR gene editing'. Each query is searched independently and billed per paper returned.
yearFrom integer no — Limit results to papers published in or after this year, for example 2020.
yearTo integer no — Limit results to papers published in or before this year, for example 2026.
maxResultsPerSearch integer no 100 Set how many papers to return per search query. — drives your bill
language string no en Set the two-letter interface language code for results, for example 'en', 'es', 'de'. Defaults to 'en'.

Worked examples

Basic — the required input, with the schema's own example values
{
  "searchTerms": [
    "transformer attention mechanism"
  ]
}

Code

curl

curl -X POST "https://api.apify.com/v2/acts/johnvc~google-scholar-lite-api/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["transformer attention mechanism"]}'

Python

from apify_client import ApifyClient

client = ApifyClient("APIFY_TOKEN")
run = client.actor("johnvc/google-scholar-lite-api").call(
    run_input={'searchTerms': ['transformer attention mechanism']}
)
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)