Search scholarly articles, discover Scholar author IDs, retrieve detailed researcher profiles and publication lists, and chart citations by year through structured JSON endpoints.
Use the same API key and credit balance across every ScrapeBadger API.
{
"query": "machine learning interpretability",
"results": [
{
"title": "An illustrative research paper",
"authors": ["Example Researcher"],
"publication_info": "Example Journal, 2025",
"cited_by_count": 42,
"pdf_link": "https://research.example.org/example-paper.pdf"
}
]
}Search papers and researchers, expand an author ID into a structured profile, analyze citations by year, and understand the current limitation on citation-format retrieval.
x-api-key/v1/google/scholar/search7 creditsSearch Google Scholar for scholarly articles through a direct HTTP workflow. Results can include title, position, source link, snippet, authors, publication information, cited-by count and link, related-articles link, version count, and a PDF link when Google exposes one.
Use year boundaries to constrain the research period, choose whether patent results are included, set the language, and paginate with a zero-based page number and up to 20 results per request.
q | required | Search query for scholarly articles. |
curl --get \
'https://scrapebadger.com/v1/google/scholar/search' \
--data-urlencode 'q=machine learning interpretability' \
--data-urlencode 'hl=en' \
--data-urlencode 'as_ylo=2022' \
--data-urlencode 'as_yhi=2026' \
--data-urlencode 'as_sdt=0' \
--data-urlencode 'page=0' \
--data-urlencode 'num=10' \
--header 'x-api-key: YOUR_API_KEY'{
"query": "machine learning interpretability",
"results": [
{
"position": 1,
"title": "An illustrative research paper",
"link": "https://research.example.org/example-paper",
"snippet": "Illustrative abstract or result snippet.",
"authors": ["Example Researcher", "Sample Co-author"],
"publication_info": "Example Journal, 2025",
"cited_by_count": 42,
"cited_by_link": "https://scholar.google.com/example-citations",
"related_link": "https://scholar.google.com/example-related",
"versions_count": 3,
"pdf_link": "https://research.example.org/example-paper.pdf"
}
],
"language": "en",
"total_results": 1250
}Search scholarly work by topic, method, author, institution, or research question. Apply publication-year bounds, include or exclude patents, paginate through result sets, and retain available source links, snippets, publication information, citation counts, related-paper links, versions, and PDFs.
Search a researcher's name to collect unique Scholar author IDs, then expand a selected ID into a detailed profile. Use affiliations, verified email domain, interests, homepage, thumbnail, and co-author information when those fields are present to distinguish researchers with similar names.
Retrieve an author's paginated publication rows alongside all-time and since-year citation, h-index, and i10-index metrics. Build internal research directories, expert-discovery tools, or publication dashboards without treating missing metrics as zero.
Collect an author's citations-per-year series and total citation count for charts, trend analysis, or periodic snapshots. Preserve the Scholar author ID with every observation and timestamp your collection because citation data can change as Google Scholar updates its index.
1,000 free credits · No credit card required
Use the same ScrapeBadger account, API key, and credit balance to connect academic literature with patents, web results, news coverage, and changing public interest.
Search patents by query and retrieve detailed patent records through dedicated search and detail routes. Use it alongside Scholar's as_sdt=7 search option when research spans academic publications and patent literature.
Explore the Google Patents API →Search the broader web for institutional pages, researcher homepages, project sites, datasets, or publications outside the Scholar result set. Use it as a complementary discovery layer rather than a replacement for Scholar's citation-specific fields.
Explore the Google Web Search API →Search current news coverage, retrieve topic feeds, and collect trending stories by country and language. Pair it with scholarly-paper discovery when monitoring how research topics move from academic publication into public reporting.
Explore the Google News API →Analyze normalized search interest over time, by geography, and through related topics or queries. Compare public-search attention with the publication and citation signals returned by Google Scholar while keeping the two measures conceptually separate.
Explore the Google Trends API →Structured JSON responses remove browser automation, proxy orchestration, and HTML parsing from your roadmap. Make your first request in minutes and move from proof of concept to production without maintaining scrapers.
99.9% uptime SLA. Your data pipeline does not stop because Google changes a page, rotates an anti-bot challenge, or moves a result block. Monitoring, session management, browser infrastructure, and parsing are all us.
Search, Maps, News, Hotels, Trends, Jobs, Shopping, Patents, Scholar, Images, Videos, Finance, AI Mode, Lens, Local, Shorts, Flights, Products, and Autocomplete — every Google surface under one API key.
RESTful API, SDK support, MCP, CLI, and no-code options. Use ScrapeBadger in an existing system or a new application with consistent authentication, structured JSON, and unified billing.
Use ScrapeBadger through an official SDK, a standard API request, MCP, CLI, or the tools already in your workflow.
Build asynchronous data pipelines with typed responses, retry handling, and access to the complete Google API suite.
Add Google data to Node.js and TypeScript applications with type definitions and support for both ESM and CommonJS.
Connect from any backend or programming language using standard HTTP requests. Responses arrive as structured JSON that can be stored, transformed, or passed into another service.
Access Search, Maps, News, Trends, Shopping, Scholar, Flights, and every other supported Google product with one ScrapeBadger API key and one credit balance.
Give compatible AI agents access to Google Search, Maps, News, Trends, Shopping, Scholar, Images, Flights, and more through ScrapeBadger's MCP server.
Run Google searches, inspect trends, collect local business data, and export results as JSON, CSV, Markdown, or terminal-friendly tables without building an application.
See why developers choose ScrapeBadger for reliable, structured web data.
“We switched from the official Twitter API and cut our costs by 95%. The pagination is seamless, and we've never hit a rate limit. Best decision we made this year.”
“The follower and engagement endpoints are incredibly detailed. We use it for influencer research and competitor analysis. Response times are sub-100ms consistently.”
“Started with the Apify actor, then moved to the API for more control. The 1,000 free credits were enough to build our MVP. Now processing 2M+ tweets monthly.”
“Perfect for academic research. The community and trends endpoints give us data we couldn't get anywhere else. Documentation could use more examples, but support is responsive.”
“We monitor 50,000+ accounts for our clients. ScrapeBadger handles it without breaking a sweat. The bulk ID endpoints are a game-changer for large-scale monitoring.”
“The geo and trends endpoints power our location-based analytics. Setup took 10 minutes. Their Apify actors are also great for quick one-off scrapes.”
Start with pay-as-you-go credits (never expire) or save up to 64% with a monthly or annual subscription. Failed requests never consume credits, and every Google API endpoint is included on every plan.
Choose an endpoint and enter your expected request volume. Google APIs use flat per-request credits, making usage easy to forecast. Failed requests cost 0 credits.
Everything you need to know about the Scholar API.
q and supports as_ylo and as_yhi for lower and upper publication years. Set as_sdt=0 to exclude patents or as_sdt=7 to include them. The page parameter is zero-based, and num accepts 1–20 results per request. Author Profile pagination is separate: use the article offset cstart and a pagesize from 1 to 100.author_id , name , and link values from author bylines. That page does not contain the full author-card metadata, so affiliation, email domain, cited-by count, interests, and thumbnail are intentionally empty. Pass the returned author_id to Get Scholar Author Profile for richer data.author_id , but either source can contain missing data, so do not substitute null with zero.title , authors , publication_info , and link through Search Google Scholar and generate the required citation strings in your application.Use 1,000 free credits to discover papers and researcher IDs, retrieve detailed Scholar profiles and publication lists, and analyze citations by year through four currently operational data workflows.
No credit card required · Failed requests cost 0 credits
Disclaimer: ScrapeBadger is not affiliated with, endorsed by, or in any way officially connected with Google LLC or any of its subsidiaries or affiliates. Google and related trademarks are the property of their respective owners.