Pricing

from $4.06 / 1,000 results

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.

Pricing

from $4.06 / 1,000 results

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ParseForge

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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

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

Go to the Google Scholar Scraper on Apify Console. Sign up for a free account if you don’t have one.
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.
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.

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