Scraper API

Google Scholar API

for academic search and citations

Get Google Scholar publication details, citation counts and formatted references as JSON, without building or maintaining scrapers and parsers.

Get 100 free requests Read the docs

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Google Scholar API

q Search Query Required: Search query. Supports Google Scholar search helpers such as `author:` and `source:`.

Google Scholar Cite API

q Result ID Required: The `resultId` of a Google Scholar organic result, as returned by the google/scholar endpoint.

Read the API documentation Get an API key

SUCCESS

100%

of requests succeed

P50

2.5s

median response

P95

8.4s

95% finish faster

PRICE

$0.83

per 1k requests at volume

Stop maintaining scrapers

Google Scholar changes its pages. Your code shouldn't care.

Proxies and retries for blocked requests
Parsers for search results and citation dialogs
Publication details buried in page markup
Extracting IDs for follow-up requests
Broken selectors after layout changes

One integration commit replaces a backlog you’ll never finish.

scraper | git log

✗ f02b7e hotfix: markup changed, nulls in output

✗ 9aa130 fix: headless Chrome OOM under load

✗ 4e7c22 fix: retry storm on 429s

✗ b81f5d chore: refresh residential IPs again

✗ 2d6a90 fix: selector drift after redesign

✗ c41a7d fix: rate-limit loop on every session

✗ 77d0be chore: rotate user-agents, again

✗ e3b90c fix: pagination broke after redesign

✗ a5c1f2 hotfix: wrong-country results on shared IPs

✗ 08d44e fix: cookies expired mid-crawl

✗ f02b7e hotfix: markup changed, nulls in output

✗ 9aa130 fix: headless Chrome OOM under load

✗ 4e7c22 fix: retry storm on 429s

✗ b81f5d chore: refresh residential IPs again

✗ 2d6a90 fix: selector drift after redesign

✗ c41a7d fix: rate-limit loop on every session

✗ 77d0be chore: rotate user-agents, again

✗ e3b90c fix: pagination broke after redesign

✗ a5c1f2 hotfix: wrong-country results on shared IPs

✗ 08d44e fix: cookies expired mid-crawl

✗ f02b7e hotfix: markup changed, nulls in output

✗ 9aa130 fix: headless Chrome OOM under load

✗ 4e7c22 fix: retry storm on 429s

✗ b81f5d chore: refresh residential IPs again

✗ 2d6a90 fix: selector drift after redesign

✗ c41a7d fix: rate-limit loop on every session

✗ 77d0be chore: rotate user-agents, again

✗ e3b90c fix: pagination broke after redesign

✗ a5c1f2 hotfix: wrong-country results on shared IPs

✗ 08d44e fix: cookies expired mid-crawl

✗ f02b7e hotfix: markup changed, nulls in output

✗ 9aa130 fix: headless Chrome OOM under load

✗ 4e7c22 fix: retry storm on 429s

✗ b81f5d chore: refresh residential IPs again

✗ 2d6a90 fix: selector drift after redesign

✗ c41a7d fix: rate-limit loop on every session

✗ 77d0be chore: rotate user-agents, again

✗ e3b90c fix: pagination broke after redesign

✗ a5c1f2 hotfix: wrong-country results on shared IPs

✗ 08d44e fix: cookies expired mid-crawl

✓ e0f7d1 feat: integrate HasData API

Code Examples

Get structured data with one request

Add academic search or formatted references to your application with a single HTTP call.

request example

curl -G 'https://api.hasdata.com/scrape/google/scholar' \
	--data-urlencode 'q=machine learning' \
	--header 'x-api-key: <YOUR_API_KEY>' \
	--header 'Content-Type: application/json'

MCP CLI n8n Make Zapier

q * Search Query

Search query. Supports Google Scholar search helpers such as `author:` and `source:`.

hl Language

The two-letter language code for the language you want to use for the search.

lr Set Multiple Languages

The 'lr' parameter specifies the language of the websites to return results from. This parameter filters results based on the language of the web content.

start Result Offset

Result offset for pagination, where 0 is the first result.

num Number of Results

Maximum number of results to return per page.

asYlo Year From

Return results published from this year onward.

asYhi Year To

Return results published up to and including this year.

scisbd Sort By Date

Sort results by date instead of relevance: 1 for abstracts only, 2 for everything. Omit for relevance sorting.

cluster All Versions Search

Unique article ID to look up all indexed versions of that article, as returned in a result's `versions.clusterId`.

cites Cited By Search

Unique article ID to look up articles that cite it, as returned in a result's `citedBy.citesId`.

asSdt Search Type / Filter

Search type/filter. Pick a value below to search case law from a specific court, or use `0,5` for Articles (default) / `7` to include patents. Any comma-separated court-code combination Google Scholar accepts also works here as free text beyond this list.

safe Adult Content Filtering

Adult content filtering option.

filter Results Filtering

Defines whether to enable or disable the filters for 'Similar Results' and 'Omitted Results'. Set to 1 (default) to enable these filters, or 0 to disable them.

asVis Exclude Citations

Set to 1 to exclude citations from the results, or 0 (default) to include them.

asRr Review Articles Only

Set to 1 to return review articles only, or 0 (default) to return all articles.

TRY ALL 15 PARAMETERS FREE

request example

curl -G 'https://api.hasdata.com/scrape/google/scholar-cite' \
	--data-urlencode 'q=EQ8shYj8Ai8J' \
	--header 'x-api-key: <YOUR_API_KEY>' \
	--header 'Content-Type: application/json'

MCP CLI n8n Make Zapier

q * Result ID

The `resultId` of a Google Scholar organic result, as returned by the google/scholar endpoint.

hl Language

The two-letter language code for the language you want to use for the search.

TRY ALL 2 PARAMETERS FREE

[data-api-request-example][data-no-js-fallback] [data-example-controls],[data-api-request-example][data-no-js-fallback] [data-example-parameter-fade],[data-api-request-example][data-no-js-fallback] [data-example-tabs]{display:none}[data-api-request-example][data-no-js-fallback]>[data-panel]{display:grid;margin-top:2rem}[data-api-request-example][data-no-js-fallback] [data-example-nojs-language],[data-api-request-example][data-no-js-fallback] [data-example-nojs-title]{display:block}[data-api-request-example][data-no-js-fallback] [data-example-card],[data-api-request-example][data-no-js-fallback] [data-example-parameters]{min-width:0;height:auto;overflow:visible}[data-api-request-example][data-no-js-fallback] .code-body{min-width:0;overflow:visible}[data-api-request-example][data-no-js-fallback] [data-example-parameters] .truncate{white-space:normal;overflow:visible;overflow-wrap:anywhere}[data-api-request-example][data-no-js-fallback] [data-example-signup]{position:static;margin:1rem .75rem .75rem}

Response

Publication data, ready for your pipeline

Work with publication details, citation counts and formatted references in structured fields for your database or research tools.

publications-authors.json

google-scholar response excerpt

{
  "organicResults": [
    {
      "position": 1,
      "resultId": "pdcI9r5sCJcJ",
      "title": "Machine learning: Trends, perspectives, and prospects",
      "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 …",
      "publicationInfo": {
        "summary": "MI Jordan, TM Mitchell - Science, 2015 - science.org",
        "authors": [
          {
            "name": "MI Jordan",
            "link": "https://scholar.google.com/citations?user=yxUduqMAAAAJ&hl=ja&oi=sra",
            "authorId": "yxUduqMAAAAJ"
          },
          {
            "name": "TM Mitchell",
            "link": "https://scholar.google.com/citations?user=MnfzuPYAAAAJ&hl=ja&oi=sra",
            "authorId": "MnfzuPYAAAAJ"
          }
        ]
      }
    }
  ]
}

Fields in Publications & authors

organicResults[].title string

Publication title as listed in Google Scholar.

organicResults[].resultId string

Pass this publication identifier to the Cite endpoint to retrieve formatted references.

organicResults[].snippet string

Search-result excerpt, not the full abstract or paper text.

organicResults[].publicationInfo.summary string

The publication line shown by Scholar, including author, venue and year details.

organicResults[].publicationInfo.authors object[]

Author names, Scholar profile links and author identifiers when available.

citation-counts-versions.json

google-scholar response excerpt

{
  "organicResults": [
    {
      "resultId": "pdcI9r5sCJcJ",
      "title": "Machine learning: Trends, perspectives, and prospects",
      "citedBy": {
        "total": 15815,
        "link": "https://scholar.google.com/scholar?cites=10883068066968164261&as_sdt=2005&sciodt=0,5&hl=ja",
        "citesId": "10883068066968164261"
      },
      "versions": {
        "total": 22,
        "link": "https://scholar.google.com/scholar?cluster=10883068066968164261&hl=ja&as_sdt=0,5",
        "clusterId": "10883068066968164261"
      }
    }
  ]
}

Fields in Citation counts & versions

organicResults[].citedBy.total number

Citation count reported for this publication in Scholar.

organicResults[].citedBy.link string

Google Scholar URL for the publication's cited-by results.

organicResults[].citedBy.citesId string

Scholar identifier associated with the cited-by result set.

organicResults[].versions.total number

Number of publication versions reported by Scholar.

organicResults[].versions.link string

Google Scholar URL listing indexed versions of the publication.

organicResults[].versions.clusterId string

Scholar cluster identifier grouping publication versions.

pdf-resource-links.json

google-scholar response excerpt

{
  "organicResults": [
    {
      "resultId": "pdcI9r5sCJcJ",
      "title": "Machine learning: Trends, perspectives, and prospects",
      "link": "https://www.science.org/doi/abs/10.1126/science.aaa8415",
      "resources": [
        {
          "fileFormat": "Pdf",
          "title": "cmu.edu",
          "link": "http://www.cs.cmu.edu/~tom/pubs/Science-ML-2015.pdf"
        }
      ]
    }
  ]
}

Fields in PDF & resource links

organicResults[].link string

Publication landing-page URL returned by Scholar. Publisher access restrictions may apply.

organicResults[].resources[].fileFormat string

Resource format reported by Scholar, such as Pdf.

organicResults[].resources[].title string

Resource source label, such as the hosting university's domain.

organicResults[].resources[].link string

Resource URL. The response includes the link, not downloaded PDF contents.

references-exports.json

google-scholar-cite response excerpt for Zhou (2021), a different publication

{
  "citations": [
    {
      "title": "MLA",
      "snippet": "Zhou, Zhi-Hua. Machine learning. Springer nature, 2021."
    },
    {
      "title": "APA",
      "snippet": "Zhou, Z. H. (2021). Machine learning. Springer nature."
    }
  ],
  "links": [
    {
      "name": "BibTeX",
      "link": "https://scholar.googleusercontent.com/scholar.bib?q=info:EQ8shYj8Ai8J:scholar.google.com/&output=citation&scisdr=CoE-Xr12ENf_6HbAxoU:AIVdB-wAAAAAaqPG3oX2W6drgM8UnBn2HmFa8PY&scisig=AIVdB-wAAAAAaqPG3taozg2zXp8XOsCgBKlBXPg&scisf=4&ct=citation&cd=-1&hl=en"
    },
    {
      "name": "EndNote",
      "link": "https://scholar.googleusercontent.com/scholar.enw?q=info:EQ8shYj8Ai8J:scholar.google.com/&output=citation&scisdr=CoE-Xr12ENf_6HbAxoU:AIVdB-wAAAAAaqPG3oX2W6drgM8UnBn2HmFa8PY&scisig=AIVdB-wAAAAAaqPG3taozg2zXp8XOsCgBKlBXPg&scisf=3&ct=citation&cd=-1&hl=en"
    }
  ]
}

Fields in References & exports

citations[].title string

Name of the bibliographic reference style, such as MLA or APA.

citations[].snippet string

Formatted reference text for the selected publication.

links[].name string

Export format label, such as BibTeX or EndNote.

links[].link string

Google Scholar export URL. The response does not include the exported file's contents.

[data-api-response][data-no-js-fallback] [data-response-tabs]{display:none}[data-api-response][data-no-js-fallback]>[data-panel]{display:grid;margin-top:2rem}[data-api-response][data-no-js-fallback] [data-response-nojs-title]{display:block}[data-api-response][data-no-js-fallback] [data-response-card]{height:auto;min-height:0;overflow:visible}[data-api-response][data-no-js-fallback] [data-response-fields]{overflow:visible}[data-api-response][data-no-js-fallback] .code-body,[data-api-response][data-no-js-fallback] .code-body code{min-width:0;white-space:pre-wrap!important;overflow-wrap:anywhere;overflow:visible}

What We Do

From literature search to bibliographies

Build research discovery tools, collect publication metadata and prepare reference lists without copying results from Google Scholar.

Find relevant publications

Search by topic, author or publication. Narrow results by year and language to build datasets for literature reviews and research discovery.

Compare citation counts

Collect citation counts alongside publication details. Compare how often papers are cited without opening each result in Scholar.

Prepare bibliographic references

Retrieve formatted references for selected publications, with styles such as APA and MLA plus export links for reference management tools.

What We Offer

An all-in-one scraping service

Combine scholarly results with web and news data, using one account and the same integration tools.

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Fits right into your stack.

Works with the tools you already use.

View Documentation ->

Loved by developers

What developers say about HasData

Feedback from HasData customers.

4.8 ★★★★★

across 100+ reviews on 5 platforms

Trustpilot ★★★★★

HasData delivers exactly what we need: speed and comprehensive search features. It's the fastest API we've used in this space. Plus, their customer support is fantastic.

Denver Sinclair

Capterra ★★★★★

We rely on HasData for search performance data and broader scraping needs. Their APIs deliver highly structured data that integrates directly into our platforms.

Jacob N.

Trustpilot ★★★★★

Great web scraping API which is incredibly easy to use. It requires minimal effort to get up and running, and the documentation is very clear and helpful.

Arnold Foster

Trustpilot ★★★★★

I needed to scrape some information they didn't already support, and they wrote the code for me right away, which was super nice of them.

Hussein Ali

Clutch ★★★★★

We were particularly impressed with how easily we could integrate HasData into our existing workflow.

Taras Bazyshyn

CEO at BAZTDL Sp. z o.o

Pricing

Plans that get cheaper at scale

Choose your request volume and concurrency. Pay for successful requests, with no metered overage.

[data-pricing-no-js-fallback]>[data-pricing-interactive]{display:none!important}

All plans — monthly and annual billing
Plan	Credits / month	Concurrency	Monthly billing	Annual billing
Free	1,000	1 concurrent request	$0 / month	Free forever
Startup	200,000	5 concurrent requests	$59 / month $2.95 / 1k requests	$49.17 / month equivalent $590 billed annually $2.46 / 1k requests
Basic	1,000,000	15 concurrent requests	$119 / month $1.19 / 1k requests	$99.17 / month equivalent $1,190 billed annually $0.99 / 1k requests
Growth	3,000,000	50 concurrent requests	$249 / month $0.83 / 1k requests	$207.50 / month equivalent $2,490 billed annually $0.69 / 1k requests
Growth	5,000,000	200 concurrent requests	$415 / month $0.83 / 1k requests	$345.83 / month equivalent $4,150 billed annually $0.69 / 1k requests
Growth	10,000,000	300 concurrent requests	$830 / month $0.83 / 1k requests	$691.67 / month equivalent $8,300 billed annually $0.69 / 1k requests
Growth	20,000,000	500 concurrent requests	$1,660 / month $0.83 / 1k requests	$1,383.33 / month equivalent $16,600 billed annually $0.69 / 1k requests

Annual prices are monthly equivalents, rounded to cents. The full annual amount is billed upfront; credits renew monthly. Get started

Free

Structured JSON, no parsers to maintain
Only successful requests billed
Team seats
Community support

Startup

Structured JSON, no parsers to maintain
Only successful requests billed
Team seats
Email support

Basic

Structured JSON, no parsers to maintain
Only successful requests billed
Team seats
Priority email support

Growth

Structured JSON, no parsers to maintain
Only successful requests billed
Team seats
Dedicated account manager

Free

$0 /mo

Free forever

100 requests / month

1,000 credits / month

1 concurrent request

Structured JSON, no parsers to maintain

Only successful requests billed

Team seats

Community support

Start free

Startup

$49 /mo

$2.46 / 1k requests

20K requests / month

Billed annually Save $118

200K credits / month

5 concurrent requests

Structured JSON, no parsers to maintain

Only successful requests billed

Team seats

Email support

Get started

Basic

Recommended

$99 /mo

$0.99 / 1k requests

100K requests / month

Billed annually Save $238

1M credits / month

15 concurrent requests

Structured JSON, no parsers to maintain

Only successful requests billed

Team seats

Priority email support

Get started

Growth

$208 /mo

$0.69 / 1k requests

Billed annually Save $498

3M credits / month

50 concurrent requests

Structured JSON, no parsers to maintain

Only successful requests billed

Team seats

Dedicated account manager

Get started

Monthly request volume

Free 20K 100K 300K 500K 1M 2M

Best fit

Basic

requests / mo

100K

Concurrency

$ / 1k requests

$0.99

Billed annually

$99 /mo

Get Started

Enterprise

Custom price based on required volume

Past 20M credits a month, or terms the self-serve plans do not cover. We shape the contract around your workload. Past 20M credits a month, or need terms the self-serve plans do not cover? We shape the contract, concurrency, and support around your workload.

Credits rollover

Unused credits carry into the next billing period.

Concurrency 2000+

Parallel request limits set to your peak load.

#1 request priority

Highest speed, always first in the queue.

Personal manager

A direct line to the founding team.

SSO

SAML single sign-on for the whole team.

SOC-2 compliance

Security review, DPA, and audit reports.

Talk to sales Quote within one business day

HasData accesses publicly available data only. Google Scholar's terms may restrict automated access; you are responsible for compliance. Where data includes personal information, ensure a lawful basis under GDPR/CCPA.

[data-faq-no-js-fallback] .faq-answer{display:block!important}[data-faq-no-js-fallback] .faq-toggle{display:none!important}[data-faq-no-js-fallback] .faq-no-js-question{display:block!important}

FAQ

Questions, answered

Is this an official Google Scholar API?: No. HasData provides an independent scraper API for Google Scholar search results and formatted references. This service is not affiliated with or endorsed by Google.
What is the difference between Search and Cite?: Search returns publications with snippets, publication details and citation counts. Cite returns a formatted bibliographic reference for a selected publication. It does not return the papers that cite that publication.
How do I get a citation for a search result?: Pass the publication's resultId from Search to Cite. Cite accepts a result identifier, not keywords, a DOI or an author ID. Searching for a paper and then retrieving its reference takes two API requests.
Can I filter results by publication year or author?: Yes. Search supports a publication-year range, language filters and date-based sorting. The query also accepts Scholar operators such as author: and source: to narrow your literature search.
Does the API return full papers, abstracts or PDFs?: Search returns the snippets and resource links that Google Scholar exposes. It does not extract complete abstracts or paper text, download PDFs, or provide access through publisher subscriptions.
Can I retrieve author profiles or h-index values?: These endpoints do not retrieve author profiles or h-index values. Search results can include author names and profile links, plus citation counts for individual publications.
Can I download every matching result?: Search supports pagination, but Google Scholar limits access to deeper results. Reported totals are not a guarantee that every matching publication can be collected, and the API is not a complete export of Scholar's index.
Can I use the API from Python?: Yes. Search and Cite accept HTTPS GET requests, so Python applications can use the requests library. The request examples include Python, cURL and other languages. No browser automation or client-side HTML parser is needed.
Is there a free plan?: The free plan includes monthly credits and requires no credit card. Credits cover both Search and Cite, with each successful request billed separately. Requests stop when credits run out, with no metered overage.
How were the performance figures measured?: A September 14, 2026 test returned valid data for 90 Search and 100 Cite requests, with up to three requests in parallel. Timings cover the full client round trip. Required-input validation probes are excluded. These sample measurements are not an uptime guarantee.
What happens if a request fails?: Failed requests consume no credits. Check the response for errors before processing results, including responses with an HTTP 200 status.

How HasData Scrapers Achieve 99.9% Uptime at Millions of Requests

At HasData we keep APIs reliable with daily synthetic tests, real-time dashboards, and proxy checks on redundant infrastructure. That’s how we hold 99.9% uptime.

Read Article ->

1 Grab your API key 2 Send a GET request 3 Get structured JSON

Your first Google Scholar API response
is minutes away

100 requests free · no credit card

Start with 100 free requests Read the docs

Google Scholar API

Google Scholar changes its pages. Your code shouldn't care.

Get structured data with one request

Google Scholar API

Google Scholar Cite API

Publication data, ready for your pipeline

Publications & authors

Citation counts & versions

PDF & resource links

References & exports

From literature search to bibliographies

Find relevant publications

Compare citation counts

Prepare bibliographic references

An all-in-one scraping service

Discover similarscrapers and APIsto expand your projects.

Google SERP API

Google News API

Web Scraping API

Fits right into your stack.

What developers say about HasData

Plans that get cheaper at scale

Free

Startup

Basic

Growth

Monthly request volume

Custom price based on required volume

Questions, answered

How HasData Scrapers Achieve 99.9% Uptime at Millions of Requests

Your first Google Scholar API responseis minutes away

Discover similar
scrapers and APIs
to expand your projects.

Your first Google Scholar API response
is minutes away