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Extract Author Profiles and Publication Data from Google Scholar with Our Powerful API

Unlock valuable Google Scholar insights instantly. Our robust API empowers you to access real-time author profiles, publication lists, citation counts, and co-author networks reliably and at scale, overcoming blocks and CAPTCHAs with unmatched success rates

  • 99.99% success rates
  • 1 - 3s avg response time
  • Bypass advanced bot-blockers
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Get a custom trial and discover how ScraperAPI handles large scraping volumes

Google Scholar data
Scrape Google Scholar with ScraperAPI

Join the 10,000+ data-focused companies using ScraperAPI

Access and Extract Live Google Scholar Data: Publication titles, author names and affiliations, citation counts, publication years, journal and conference details

Scrape Google Scholar Data: Overcome Blocks & Extract HTML Seamlessly

To block automated scrapers, Google Scholar employs rate limiting, CAPTCHAs, and session restrictions. This makes extracting comprehensive author and publication data challenging.

ScraperAPI takes care of these issues by distributing requests among a global pool of more than 150 million residential, datacenter, and mobile IP addresses. Full browser rendering support and automatic retries ensure consistent access to author profiles and citation data at scale.

CHECK OUR DOCUMENTATION
Auto Parsing​
Structured markdown and text data for LLM

Turn Google Scholar Pages into LLM-Ready Data

By setting the output_format parameter to text or markdown, ScraperAPI will return any Google Scholar author profiles, publication lists, citation counts, and co-author networks in an LLM-ready format – no parsing or extra steps needed.

  • Reduce data cleaning workloads
  • Feed your models with localized data
  • Use ScraperAPI’s advanced features

Train your models and build custom applications using accurate author profiles and publication data from any Google Scholar domain.

OUTPUT FORMATS

Access Geo-Targeted Google Scholar Data and Uncover Region-Specific Insights

While Google Scholar primarily serves global data, regional preferences, such as language settings or location-based filters, can influence search results.

ScraperAPI’s geo-targeting lets you send requests from over 150 countries to replicate localized academic searches and capture relevant regional data.

Geotargeting is included in all plans.

DISCOVER ALL LOCATIONS
ScraperAPI geotargeting
Async Scraper Service

Accelerate Large Scale Google Scholar Scraping with Our Async API

Effortlessly handle thousands of author profiles or publication pages. The Async API is designed to:

  • Submit large volumes of scraping requests in parallel, making data collection faster and more efficient
  • Automatically detect and retry failed requests to ensure you receive complete and accurate data
  • It delivers results straight to your system via webhooks, removing the need for manual monitoring and management
LEARN ABOUT ASYNC

Automate and Schedule Recurrent Google Scholar Scraping Tasks

Want to keep citation counts, publication lists, and author details up-to-date? With ScraperAPI’s DataPipeline endpoints, you can schedule scraping jobs directly within your code. 

With webhooks, you can have data sent straight to your systems, guaranteeing instantaneous access and seamless integration. It scales reliably and is built to handle millions of requests monthly to support large and complex data workflows.

LEARN ABOUT DATAPIPELINE
Data Pipeline
IP locatations

Pool of 150M+ IPs

geolocation

100+
proxy locations

Uptime guarantee

5s avg
response time

Unlimited bandwith

99.99%
success rates

Structured
data endpoints

Enterprise Features Without the Price Tag

Dedicated Account Manager

Your account manager will be there any time your team needs a helping hand.

Professional support

Premium Support

Enterprise customers* get dedicated Slack channels for direct communication with engineers and support.

geolocation

100% Compliant

All data collected and provided to customers are ethically obtained and compliant with all applicable laws.

IP locatations

Global Data Coverage

Your account manager will be there any time your team needs a helping hand.

Integration tutorials

Powerful Scraping Tools

All our tools are designed to simplify the scraping process and collect mass-scale data without getting blocked.

Designed for Scale

Scale your data pipelines while keeping a near-perfect success rate.

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Consistently Scrape Millions of Google Scholar Pages with Industry-Leading Success Rates

Get a custom trial that fits your unique needs, including +300 concurrent threads, up to 50M scraping credits, an account manager, and premium support to handle large request volumes without interruptions.

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Test Our Google Scholar Scraper API: Get Started in Minutes

Payload parameters

api_key
add your unique API key		urls
specify the page you want data from		country_code
send your requests from 100+ locations		render
set it to ‘true’ to scrape dynamic URLs
output_format
turn pages into markdown or text data		premium
tell ScraperAPI to use only residential and mobile proxies		ultra_premium
scrape the toughest sites without getting blocked		device_type
choose between ‘desktop’ or ‘mobile’ versions of the page
python snippet
import requests

payload = {
    'api_key': "YOUR_SCRAPERAPI_KEY",
    'url': "https://scholar.google.com/citations?user=WtqpmdIAAAAJ&hl=en&oi=sra",
    'country_code': 'us',
    'ultra_premium': 'true',
    'render': 'true',
    'output_format': 'markdown'
}

response = requests.get('https://api.scraperapi.com/', params=payload)
google_scholar_data = response.text

with open('google-scholar.md', 'w', encoding='utf-8') as f:
    f.write(google_scholar_data)
json export
![Roger Pielke Jr.](https://scholar.googleusercontent.com/citations?view_op=view_photo&user=WtqpmdIAAAAJ&citpid=5)

Roger Pielke Jr.

[University of Colorado Boulder](/citations?view%5Fop=view%5Forg&hl=en&org=10680603084482565841)

Verified email at colorado.edu - [Homepage](http://rogerpielkejr.substack.com/)

[Science](/citations?view%5Fop=search%5Fauthors&hl=en&mauthors=label:science)[Innovation](/citations?view%5Fop=search%5Fauthors&hl=en&mauthors=label:innovation)[Politics](/citations?view%5Fop=search%5Fauthors&hl=en&mauthors=label:politics)[Sports](/citations?view%5Fop=search%5Fauthors&hl=en&mauthors=label:sports)

[Articles](javascript:void%280%29)[Cited by](javascript:void%280%29)[Public access](javascript:void%280%29)

| [Title](/citations?hl=en&user=WtqpmdIAAAAJ&view%5Fop=list%5Fworks&sortby=title)Sort[Sort by citations](/citations?hl=en&user=WtqpmdIAAAAJ&view%5Fop=list%5Fworks)[Sort by year](/citations?hl=en&user=WtqpmdIAAAAJ&view%5Fop=list%5Fworks&sortby=pubdate)[Sort by title](/citations?hl=en&user=WtqpmdIAAAAJ&view%5Fop=list%5Fworks&sortby=title)                                                                  | Cited byCited by                                                                                                                                                                                               | [Year](/citations?hl=en&user=WtqpmdIAAAAJ&view%5Fop=list%5Fworks&sortby=pubdate) |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------- |
| [The honest broker: making sense of science in policy and politics](/citations?view%5Fop=view%5Fcitation&hl=en&user=WtqpmdIAAAAJ&citation%5Ffor%5Fview=WtqpmdIAAAAJ:vRqMK49ujn8C)RA Pielke, MyiLibraryCambridge University Press, 2007                                                                                                                                                                            | [3400](https://scholar.google.com/scholar?oi=bibs&hl=en&cites=4911982915815611621,13805807108493034684)                                                                                                        | 2007                                                                             |
| [Abrupt climate change](/citations?view%5Fop=view%5Fcitation&hl=en&user=WtqpmdIAAAAJ&citation%5Ffor%5Fview=WtqpmdIAAAAJ:KxtntwgDAa4C)RB Alley, J Marotzke, WD Nordhaus, JT Overpeck, DM Peteet, RA Pielke, ...science 299 (5615), 2005, 2003                                                                                                                                                                      | [1784](https://scholar.google.com/scholar?oi=bibs&hl=en&cites=10793761582119703604,16628498857790170270,292931282908123376,9270270636676366975,9024201631243675797)                                            | 2003                                                                             |
| [Normalized hurricane damage in the United States: 1900-2005](/citations?view%5Fop=view%5Fcitation&hl=en&user=WtqpmdIAAAAJ&citation%5Ffor%5Fview=WtqpmdIAAAAJ:GJVTs2krol4C)RA Pielke Jr, J Gratz, CW Landsea, D Collins, MA Saunders, R MusulinNatural hazards review 9 (1), 29-42, 2008                                                                                                                          | [1472](https://scholar.google.com/scholar?oi=bibs&hl=en&cites=721110331602207107)                                                                                                                              | 2008                                                                             |
| [Ecological forecasts: an emerging imperative](/citations?view%5Fop=view%5Fcitation&hl=en&user=WtqpmdIAAAAJ&citation%5Ffor%5Fview=WtqpmdIAAAAJ:xyvS%5FIvSCKsC)JS Clark, SR Carpenter, M Barber, S Collins, A Dobson, JA Foley, ...science 293 (5530), 657-660, 2001                                                                                                                                               | [1195](https://scholar.google.com/scholar?oi=bibs&hl=en&cites=5407723129545054511)                                                                                                                             | 2001                                                                             |
| [Lifting the taboo on adaptation](/citations?view%5Fop=view%5Fcitation&hl=en&user=WtqpmdIAAAAJ&citation%5Ffor%5Fview=WtqpmdIAAAAJ:OU6Ihb5iCvQC)R Pielke Jr, G Prins, S Rayner, D SarewitzNature 445 (7128), 597-598, 2007                                                                                                                                                                                         | [847](https://scholar.google.com/scholar?oi=bibs&hl=en&cites=16362248731981930139,6937362778903363494)                                                                                                         | 2007                                                                             |
| [An introduction to trends in extreme weather and climate events: observations, socioeconomic impacts, terrestrial ecological impacts, and model projections](/citations?view%5Fop=view%5Fcitation&hl=en&user=WtqpmdIAAAAJ&citation%5Ffor%5Fview=WtqpmdIAAAAJ:UxriW0iASnsC)GA Meehl, T Karl, DR Easterling, SA Changnon, RA Pielke, D Changnon, ...BULLETIN-AMERICAN METEOROLOGICAL SOCIETY 81 (3), 413-416, 2000 | [834](https://scholar.google.com/scholar?oi=bibs&hl=en&cites=5210534211022113884)                                                                                                                              | 2000                                                                             |
| [Normalized hurricane damages in the United States: 1925-95](/citations?view%5Fop=view%5Fcitation&hl=en&user=WtqpmdIAAAAJ&citation%5Ffor%5Fview=WtqpmdIAAAAJ:u5HHmVD%5FuO8C)RA Pielke Jr, CW LandseaWeather and forecasting 13 (3), 621-631, 1998                        


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What Our Customers
Are Saying

One of the most frustrating parts of automated web scraping is constantly dealing with IP blocks and CAPTCHAs. ScraperAPI gets this task off of your shoulders.

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based on 50+ reviews

The team at ScraperAPI was so patient in helping us debug our first scraper. Thanks for being super passionate and awesome!
Cristina Saavedra
Cristina SaavedraOptimization Director at SquareTrade
A dead simple API plus a generous free tier are hard to beat. ScraperAPI is a good example of how developer experience can make a difference in a crowded category.
Ilya Sukhar
Ilya SukharFounder of Parse, Partner at YCombinator
I researched a lot of scraping tools and am glad I found ScraperAPI. It has low cost and great tech support. They always respond within 24 hours when I need any help with the product.
Alexander Zharkov
Alexander ZharkovFullstack Javascript Developer
BigCommerce

Simplify Your Google Scholar Data Scraping Workflow with ScraperAPI

Hobby

Ideal for small projects or personal use.

Hobby

$49

/ month

$44

/ month, billed annually

  • 100,000 API Credits
  • 20 Concurrent Threads
  • US & EU regions only
Start Trial

Startup

Great for small teams and advanced users.

Startup

$149

/ month

$134

/ month, billed annually

  • 1,000,000 API Credits
  • 50 Concurrent Threads
  • US & EU regions only
Start Trial

Business

Perfect for small-medium businesses.

Business

$299

/ month

$269

/ month, billed annually

  • 3,000,000 API Credits
  • 100 Concurrent Threads
  • All country-level Geotargeting
Start Trial

Scaling

Most popular

Perfect for teams looking to scale their operations.

Business

$475

/ month

$427

/ month, billed annually

  • 5,000,000 API Credits
  • 200 Concurrent Threads
  • All country-level Geotargeting
Start Trial

Enterprise

Need more than 5,000,000 API Credits with all premium features, premium support and an account manager?

  • 5,000,000+ API credits and 200+ Concurrent Threads
  • Dedicated Account Manager
  • Slack Support
Contact Sales

Google Scholar Scraping FAQs: Learn More About Using ScraperAPI

Yes, it’s legal to scrape publicly accessible author and publication data, as long as you don’t bypass login or restricted access.

Yes! ScraperAPI is designed to navigate Google Scholar’s strict defenses, including CAPTCHA challenges, request throttling, and dynamic content loading, ensuring reliable access to academic profiles and publication data without interruption.

Typical requests finish within 1 to 5 seconds, though complex author profiles or large publication lists may take up to 10 seconds, depending on page content.

With ScraperAPI, you can extract detailed academic information such as publication titles, author names and affiliations, citation counts, publication years, and journal data, all essential for building comprehensive research datasets.

Our Scaling Plan allows up to 200 concurrent scraping threads, while custom enterprise plans can support over 1,000 threads, enabling large-scale, efficient data collection from Google Scholar.