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Updated: May 1, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

Web Scraping Techniques for Surgical Research: A Technical Tutorial With a Worked Example in Publication Data Mining.

Andrew C Kuo¹, Rachel L Wolansky¹, Lorenzo Hiraldo¹

¹Department of Surgery, University of South Florida, Tampa, FL, USA.

The American Surgeon

|April 10, 2026

Summary

This summary is machine-generated.

Web scraping enables surgeon-scientists to collect large datasets from websites for research. This tutorial provides practical guidance and a code template for implementing web scrapers ethically and effectively.

Keywords:

Python Selenium automation bibliometrics browser automation data extraction hospital price transparency publication data mining research methodology surgical research web scraping

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Area of Science:

Medical Informatics
Health Services Research
Surgical Research

Background:

Web scraping is crucial for researchers needing large-scale data collection.
Limited technical guidance exists for surgeon-scientists on web scraping.
Public web data is relevant for surgical outcomes, health services, and policy research.

Purpose of the Study:

To provide a clinician-oriented technical guide to web scraping for surgical research.
To demonstrate a complete web scraping pipeline with a practical example.
To equip surgical researchers with foundational knowledge for data collection.

Main Methods:

Tutorial covers key web scraping concepts: static vs. dynamic websites, CSS selectors, browser automation, rate limiting, and ethics.
A worked example scrapes a surgical research group's publication page.
A reusable code template is provided for adapting the pipeline.

Main Results:

Successfully extracted structured publication data (titles, authors, abstracts, links) from a JavaScript-rendered website.
Generated an analysis-ready bibliometric database.
Demonstrated generalization to other surgical research applications (price transparency, residency data, quality metrics).

Conclusions:

Web scraping is a powerful tool for surgeon-scientists when used with technical rigor and ethical responsibility.
The tutorial equips researchers with the knowledge to design, implement, and adapt web scrapers.
This approach facilitates efficient data collection for diverse surgical research questions.