Scrape Google Scholar Papers and Citations
Turn academic search into structured research data
Discover literature, track citation networks, or benchmark research output. Extract papers, citations, publication metadata, and abstracts ready for analysis.
How it works
- 1 Enter your search query or URL in the form
- 2 Click search and we'll extract the data in seconds
- 3 View results online or download as CSV
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Only 50 credit(s) needed — $1.00 min. purchase includes 450 bonus credits
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What You Get
We extract structured data from the source and deliver it as a clean, downloadable CSV.
Attention Is All You Need
A Vaswani, N Shazeer, et al. - NeurIPS, 2017
We propose a new simple network architecture, the Transformer, based solely on attention mechanisms...
BERT: Pre-training of Deep Bidirectional Transformers
J Devlin, MW Chang, et al. - NAACL, 2019
We introduce BERT, a new language representation model designed to pre-train deep bidirectional...
An Image is Worth 16x16 Words: Transformers for Image Recognition
A Dosovitskiy, L Beyer, et al. - ICLR, 2021
We show that a pure transformer applied directly to sequences of image patches can perform...
Source page
Clean, downloadable data
Complete Data Preview
Here's every field you'll get when you run Google Scholar.
| Position | Title | Link | Snippet | Publication Info | Cited By Count | Year | Resources |
|---|---|---|---|---|---|---|---|
| 1 | Attention Is All You Need | https://arxiv.org/abs/1706.03762 | We propose a new simple network architecture, the Transformer, based solely on attention mechanisms... | A Vaswani, N Shazeer, et al. - NeurIPS, 2017 | 124500 | 2017 | [PDF] arxiv.org |
| 2 | BERT: Pre-training of Deep Bidirectional Transformers | https://arxiv.org/abs/1810.04805 | We introduce BERT, a new language representation model designed to pre-train deep bidirectional... | J Devlin, MW Chang, et al. - NAACL, 2019 | 89200 | 2019 | [PDF] arxiv.org |
| 3 | An Image is Worth 16x16 Words: Transformers for Image Recognition | https://arxiv.org/abs/2010.11929 | We show that a pure transformer applied directly to sequences of image patches can perform... | A Dosovitskiy, L Beyer, et al. - ICLR, 2021 | 34800 | 2021 | [PDF] openreview.net |
8 columns
- position — Ranking position in results
- title — Page or item title
- link — URL to the result page
- snippet — Text excerpt from the page
- publication_info — Journal and author details
- cited_by_count — Total citation count
- year — Year of publication
- resources — Links to full text or PDFs
Why ScrapeBase?
Skip the complexity. Get the data.
| Feature | DIY / Raw APIs |
ScrapeBase
Recommended
|
|---|---|---|
| Setup time |
Hours to days
|
Minutes
|
| Code required |
Yes — scripts to maintain
|
None
|
| Proxies & CAPTCHAs |
You handle it
|
We handle it
|
| Rate limits & retries |
You build it
|
Automatic
|
| Infrastructure |
Your servers & keys
|
Nothing to manage
|
| Data output |
Raw — needs parsing
|
Clean CSV
|
What You Can Do
Automate Literature Reviews
Scrape Google Scholar results for any research topic to build comprehensive literature databases with citation counts and links.
Track Research Trends
Monitor which papers and topics gain traction in academia by tracking citation velocity and publication frequency over time.
Build Academic Datasets
Extract structured data from thousands of scholarly articles — titles, authors, journals, dates, and citation counts — at scale.
Built for Speed and Reliability
Average response time under 10 seconds
Structured, clean data ready for analysis
CSV export, spreadsheet-ready
Reliable infrastructure, always available
Frequently Asked Questions
Ready to Scrape Google Scholar?
Start extracting structured data in seconds. No coding, no proxies, no hassle.
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