Google Scholar Scraper: Papers, Citations & Authors

Turn any Google Scholar search into a clean, structured dataset of academic papers. Search by keyword, author or exact phrase and get title, authors, year, venue, publisher, citation count and PDF link for every result, fully paginated.

Perfect for literature reviews, bibliometric analysis, citation tracking, and research landscape mapping across any field.

What you get

• 🔎 Search by keyword, author, or exact phrase, with year-range filtering.
• 📚 Full bibliographic data per paper: title, authors, year, venue and publisher.
• 📈 Citation count and a direct link to the citing papers.
• 📄 Free PDF link when Scholar shows one.
• 🔗 Related articles link and Scholar's cluster ID for deduping paper versions.
• 📊 Clean JSON / CSV / Excel export, ready for a spreadsheet or a pipeline.

Pricing

Pay per event: $0.005 per result returned, plus a small per-run start fee. You only pay for results you actually receive; no monthly subscription.

Input

Field	Type	Description
searchQueries	string[]	Keyword searches to run, e.g. graph neural networks. Required.
exactPhrase	string	Restrict every query to results containing this exact phrase.
authors	string	Restrict every query to these author(s), e.g. Y LeCun.
yearFrom / yearTo	int	Only include results published in this year range.
maxResultsPerQuery	int	Stop paginating each query after this many results (default 100).
proxyConfiguration	proxy	Residential proxy required. Scholar blocks datacenter IPs.

Example input

{
  "searchQueries": ["graph neural networks", "CRISPR gene editing"],
  "yearFrom": 2020,
  "maxResultsPerQuery": 100
}

Output

One record per search result, in rank order for its query.

Field	Description
title, authors, year	Paper identity.
venue, publisher	Journal, conference or publisher.
snippet	Abstract excerpt shown under the result.
citationCount, citedByUrl	Citation count and link to citing papers.
pdfUrl	Direct link to a free PDF, when available.
resultUrl, relatedUrl, clusterId	Paper link, related-articles link, and Scholar's cluster ID.
query, rank, scrapedAt	Source query, result rank, and scrape time.

Example output

{
  "title": "Deep residual learning for image recognition",
  "authors": ["K He", "X Zhang", "S Ren"],
  "year": 2016,
  "venue": "Proceedings of the IEEE conference on computer vision",
  "citationCount": 194832,
  "pdfUrl": "https://openaccess.thecvf.com/content_cvpr_2016/papers/He_Deep_Residual_Learning_CVPR_2016_paper.pdf",
  "resultUrl": "https://openaccess.thecvf.com/content_cvpr_2016/html/He_Deep_Residual_Learning_CVPR_2016_paper.html",
  "query": "deep residual learning",
  "rank": 1
}

FAQ

Do I need a Google account or API key? No. Just provide a search query.

How far back does pagination go? As far as Scholar's own result pages go, up to maxResultsPerQuery per query.

Is this legal? The actor collects only publicly available search-result data. You are responsible for complying with Google's terms and applicable law in your use of the data.