What does each Google Scholar scraper result include?

Every result returns a title, authors and venue, publish year, a snippet, the citation count, a link to the paper, a free PDF link when one is public, a stable id, and the position on the results page. It is enough to build a reading list or a research dataset without a second call.

How many Google Scholar results can one search return?

You page through results with the page parameter and pay one credit per successful search, however many results come back. A search that returns none is free.

Is there a free Google Scholar API?

CrustAPI includes 3,000 free credits every month with no credit card, and credits never expire. That covers real literature-review and citation-tracking work.

Google Scholar scraper API

A Google Scholar scraper API that returns each result as clean JSON: title, authors, venue, year, citation count, snippet, and a free PDF link when one exists, or the same rows as CSV. One credit per successful search, empty searches free.

3,000 free / month, no card Citation count + free PDF link ~1 second responses

PULLED LIVE FROM THE API, JULY 20, 2026

One request, real response

# one credit per successful search; zero results cost nothing curl "https://crustapi.com/v1/search?type=scholar&q=machine+learning" -H "x-api-key: YOUR_KEY"

The same rows show as CSV, so they drop straight into Sheets or a reference manager:

title,publicationInfo,year,citedBy,link "[B] Machine learning","ZH Zhou - 2021 - books.google.com",2021,3886,"https://books.google.com/books?id=ctM-EAAAQBAJ&oi=fnd..." "Machine learning: Trends, perspectives, and prospects","MI Jordan, TM Mitchell - Science, 2015 - science.org",2015,15548,"https://www.science.org/doi/abs/10.1126/science.aaa8415"

Add gl and hl for country and language, and set page to walk through more results.

WHAT EVERY RESULT INCLUDES

The full record, ready to use

Every result comes complete, so you build a reading list or a dataset with no second call. The same record shows as CSV, ready for Sheets or a database:

title,link,publicationInfo,year,citedBy,pdfUrl,id,position "Machine learning: Trends, perspectives, and prospects","https://www.science.org/doi/abs/10.1126/science.aaa8415","MI Jordan, TM Mitchell - Science, 2015 - science.org",2015,15548,"http://www.cs.cmu.edu/~tom/pubs/Science-ML-2015.pdf","pdcI9r5sCJcJ",4

Or the same record as JSON:

// one result in full { "title": "Machine learning: Trends, perspectives, and prospects", "link": "https://www.science.org/doi/abs/10.1126/science.aaa8415", "publicationInfo": "MI Jordan, TM Mitchell - Science, 2015 - science.org", "snippet": "... Machine learning addresses the question of how to build computers that improve ... Recent progress in machine learning has been driven both by the development of new learning ...", "year": 2015, "citedBy": 15548, "pdfUrl": "http://www.cs.cmu.edu/~tom/pubs/Science-ML-2015.pdf", "id": "pdcI9r5sCJcJ", "position": 4 }

HOW IT COMPARES

vs serper and serpapi

All three return Google Scholar as JSON. The difference is how you pay for it and what happens to the credits you buy.

	Other Scholar APIs	CrustAPI Scholar
Billing unit	Per search, even when it returns nothing	Per successful search; empty searches free
Citation count	Included	Included
Free PDF link	Included	Included
Free tier	Trial credits that expire	3,000 credits / month, no card
Credits expiry	Expire monthly or in 6 months	Never expire
Storing the data	Varies by provider	No storage limits. Keep it, export it, build on it

PRICING

One credit per successful search

Prepaid packs, and credits never expire: 25k for $49 · 100k for $149 · 500k for $549 · 2.5M for $1,999 · up to 250M, all self-serve, ex-tax. One search costs one credit, however many results come back; a search that returns none costs nothing.

Pull your first citation list free

3,000 credits a month. No card, no contract.

Get started →

THE DIFFERENCE YOU SEE

Citation counts and free PDF links on every result

Each result carries citedBy, the number of papers that cite it, and pdfUrl, a link to a public full-text PDF when Google Scholar found one. So you rank a reading list by influence or pull open-access papers straight from the response, with no page to open by hand.

FAIR PLAY

When a licensed metadata source is the better pick: you need a complete citation graph under a license, a guaranteed DOI on every record, or a contract that covers redistribution. Google Scholar gives you the title, authors, venue, year, snippet, citation count, and a PDF link when one is public, which is what most literature-review and citation-tracking work needs, but it is not a licensed bibliographic database.

BEFORE YOU ASK

Common questions

WORKS WITH YOUR STACK

LangChain n8n MCP

Clay

Try it on a field you follow

3,000 free credits covers a real literature search. Run one query and look at the JSON that comes back.

Get 3,000 free credits

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