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Google Scholar Scraper

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from $4.06 / 1,000 results

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Google Scholar Scraper

Google Scholar Scraper

Retrieve paper metadata from Google Scholar search results. Pull title, authors, year, journal, citations, cited by, and h-index for each result. Use search terms, language, and year filters to target research. Ideal for literature reviews, citation analysis, and academic trend tracking.

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from $4.06 / 1,000 results

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ParseForge

ParseForge

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5 days ago

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Google Scholar Scraper

Extract academic paper metadata from Google Scholar search results – including titles, authors, citation counts, publication years, and h-indexes – to enable systematic literature reviews, competitor research, or citation analysis.

Features

  • Scrape search results for any query on Google Scholar
  • Filter results by publication year range
  • Choose from eight result languages (English, French, German, Spanish, Chinese, Japanese, Portuguese, Russian)
  • Set a maximum number of results to collect
  • Automatically rotate proxies to avoid blocks (Apify Proxy supported)
  • Output clean JSON with key fields like title, authors, cited_by, year, journal, h_index, and citations

Input

FieldTypeDefaultDescription
searchQuerystring(required)Enter search terms for Google Scholar (e.g., machine learning).
languagestringenLanguage of the results (e.g., en for English).
yearFrominteger2020Start year for publication date filter (e.g., 2020).
yearTointeger2025End year for publication date filter (e.g., 2025).
maxItemsinteger100Maximum number of search results to scrape.
proxyConfigurationobject{"useApifyProxy":true}Configure proxies for scraping Google Scholar.

Output

Each dataset item is a JSON object representing a single search result. Example:

{
"title": "Machine learning: a review",
"authors": ["Michael I. Jordan", "Tom M. Mitchell"],
"cited_by": 1234,
"year": 2015,
"journal": "Science",
"h_index": 85,
"citations": 5678
}

Usage

  1. Go to the Google Scholar Scraper on Apify Console. Sign up for a free account if you don’t have one.
  2. In the input form, set your search query (e.g., "deep learning"), choose a language, optionally restrict years, and decide how many results to scrape.
  3. Click Start and wait for the run to complete. Your results will be available as a downloadable dataset (JSON, CSV, Excel, etc.). 🆘 Need Help? Open our contact form

⚠️ Disclaimer: independent tool, not affiliated with the source website. Only publicly available data is collected.