Paper → Search
AI-generatedSummary
Searches Google Scholar for academic papers using an Apify Actor and returns one n8n item per result. You can filter by language and publication years, set the page size and page limit, and choose which result fields to return.
Inputs
- Search Query (required) — Query to search scholarly papers for.
- Language Code — Two-letter language code for results; defaults to en.
- Year From — Include papers published on or after this year. Defaults to 0, which omits the lower year filter.
- Year To — Include papers published on or before this year. Defaults to 0, which omits the upper year filter.
- Number of Results — Results requested per page. Defaults to 0, which leaves the Actor's default in effect.
- Maximum Pages — Maximum result pages to fetch; defaults to 1.
- Output — Choose Raw to return each result as provided, Selected Fields to include chosen fields, or Simplified (default) for a compact object containing title, link, snippet, publicationInfo, resultId, and position.
- Fields to Include — For Selected Fields output, choose from inline_links, link, paper_title, position, publication_info, resources, result_id, and snippet. Fields absent from a result are omitted.
- Authentication — Select Apify API Key (default) or OAuth2 credentials.
Output shape
A list of n8n items, one per paper result.
Each item's JSON follows the selected output mode. Raw preserves the Actor result; Selected Fields uses the selected source field names; Simplified maps paper_title to title and publication_info to publicationInfo, and includes resultId and position. The operation starts an Apify Actor run, waits for it to finish, then reads its default dataset. If the run fails, times out, or is aborted, the source still proceeds to fetch the dataset; API or polling errors can fail the operation. With Continue On Fail enabled, an input item that errors yields an item containing an error message.