Scrape Google Scholar results, author profiles, h-index data, citation charts, and citation formats. Structured JSON. Start for FREE.
Also: Scrape Google Scholar · Google Scholar Scraper
{
"scholar_results": [{
"position": 1,
"id": "2KloaMYe4IUJ",
"title": "Attention Is All You Need",
"title_link": "https://arxiv.org/abs/1706.03762",
"type": "[PDF]",
"displayed_link": "A Vaswani, N Shazeer, N Parmar - NeurIPS, 2017 - arxiv.org",
"snippet": "The dominant sequence transduction models...",
"authors": [
{ "name": "Ashish Vaswani", "author_id": "oR9sCGYAAAAJ",
"link": "https://scholar.google.com/citations?user=oR9sCGYAAAAJ" },
{ "name": "Noam Shazeer", "author_id": "wsGvgA8AAAAJ" }
],
"publication_info": "NeurIPS, 2017 - arxiv.org",
"inline_links": {
"versions": { "total": 47, "cluster_id": "2960712678347163699" },
"cited_by": { "total": 142387, "cites_id": "2960712678347163699" },
"related_pages_link": "https://scholar.google.com/scholar?q=related:..."
},
"resources": [
{ "type": "PDF", "link": "https://arxiv.org/pdf/1706.03762.pdf" }
]
}],
"related_searches": [
{ "title": "transformer self attention", "link": "..." }
],
"profiles": [
{ "author_id": "oR9sCGYAAAAJ", "name": "Ashish Vaswani" }
]
}A Google Scholar API retrieves academic search results, author profiles, citation counts, citation charts, and citation formats from Google Scholar for any query, author, or paper — at scale. Google Scholar indexes hundreds of millions of academic papers, theses, books, conference proceedings, and patents — the most comprehensive freely accessible academic search engine.
Google does not offer an official Scholar API. Semantic Scholar, CrossRef, and PubMed cover their own indexed content but none matches Google Scholar's breadth across disciplines and document types. For academic research tools, citation analysis platforms, literature review automation, or any scrape google scholar workflow, developers use third-party APIs like ScrapeBadger.
ScrapeBadger's Google Scholar API covers five endpoints: paper search, scholar profile search, author profile details, author citation chart, and citation format export — covering everything from discovery to formal citation output.
One API call. Academic results back in structured JSON. First request in under 5 minutes.
All endpoints return structured JSON. Mix and match to build your data pipeline.
Scholar SERP with wrapped inline_links, structured authors, resources, related_searches
/v1/google/scholar/searchSearch Scholar for author profiles by name
/v1/google/scholar/profilesFull author profile: structured interests, articles with citation_id + cited_by, stats, co-authors
/v1/google/scholar/authorCitations-per-year chart for a Scholar author
/v1/google/scholar/author/citationMLA, APA, Chicago, Harvard, Vancouver citation formats + BibTeX/RIS/EndNote export links
/v1/google/scholar/citeFrom research automation to academic analytics platforms — the most valuable applications for Scholar data.
Automate the initial sweep of a literature review by scraping Scholar results for a topic. Extract titles, authors, abstracts, citation counts, and years at scale — then filter with NLP pipelines.
Track citation counts for specific papers or authors over time. Build dashboards for researchers and institutions showing how their published work is being cited and by whom.
Build paper recommendation tools that surface related work based on citation networks, shared authors, and topic overlap — using live Scholar data as the underlying graph.
Scrape author profiles to build researcher directories, map collaboration networks, and identify domain experts by h-index, citation count, and publication record.
Track publication output and citation growth for researchers applying for funding. Give funding bodies current bibliometric data to support evaluation decisions.
Search Scholar for specific text patterns or research questions to identify prior publications overlapping with a new submission — supporting editorial and IP workflows.
ScrapeBadger's hosted MCP server exposes 92 tools — including all Google APIs — to any AI agent that supports the Model Context Protocol. No code changes. Just add one config line and your agent can call google_scholar_search natively.
Most Google data APIs charge monthly subscriptions whether you use them or not. ScrapeBadger's model is different.
Buy credits once and use them whenever you need — no monthly reset, no "use it or lose it" pressure. ScrapeBadger's pay-as-you-go credits last forever, so projects with variable or seasonal query volumes never waste budget on unused allocation.
ScrapeBadger offers two models: pay-as-you-go credits that never expire, or a subscription plan at a lower per-credit rate for predictable, high-volume usage. On a subscription, unused credits roll over to the following month — so you never lose what you paid for. No lock-in, cancel anytime.
ScrapeBadger covers the full Google product ecosystem from a single API key and credit balance: SERP, Maps, Reviews, News, Trends, Jobs, Shopping, Patents, Scholar, Images, Finance, Flights, Hotels, Lens, AI Mode, Autocomplete, Shorts, and more. One account, one integration, one billing relationship — versus managing multiple subscriptions across separate data providers.
Failed requests — timeouts, blocked responses, empty results — are never charged. Credits are deducted only when the API returns a successful, data-containing response. At scale, where failure rates affect your effective cost per result, this matters significantly. You pay for data you received, not for infrastructure you used.
Start with pay-as-you-go credits that never expire, or save more with a monthly subscription. No hidden fees, no lock-in.
Custom credit volumes, dedicated infrastructure, SLA guarantees, invoiced billing, and a dedicated account manager. Built around your actual usage — not a fixed tier.
Everything you need to know about the Google Scholar API.
Sign up free and get 1,000 API credits — enough for 142 scholar requests. No credit card required.