Web Scrapping Tools used in Healthcare Sector
Year: 2024
Type: article
Abstract: Web scraping has become essential in the healthcare sector and provides vast opportunities for data access and analysis. This abstract outlines several key web scraping tools commonly used in healthcare:: Scrapy: A Python-based framework for structured data extraction from various medical sources, offering adaptability and scalability. Beautiful Soup: Facilitates seamless data extraction from medical websites and research articles with its user-friendly interface. Selenium: Particularly useful for extracting data from dynamic healthcare websites driven by JavaScript. Octoparse: Empowers healthcare professionals to extract data without programming expertise through an intuitive interface. ParseHub: Simplifies data extraction from complex healthcare websites with scheduling capabilities. Import.io: A visual API-based scraping solution for integrating and analyzing data from web pages and APIs. WebHarvy: Streamlines data retrieval from medical websites, journals, and forums with automatic configuration and diverse export options. Web scraping tools are invaluable for accessing and analyzing health information, enhancing assessment, decision-making, and patient outcomes. However, adherence to legal and ethical guidelines, including data privacy and consent considerations, is crucial for responsible use in the healthcare industry.
Authors: Saif Akbar Khan -, Shripad Bhide -
Language: English
Topic: Web Data Mining and Analysis
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4403502853