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Effective web scraping with OXPath

Proceedings of the 22nd International Conference on World Wide Web, 2013
Even in the third decade of the Web, scraping web sites remains a challenging task: Most scraping programs are still developed as ad-hoc solutions using a complex stack of languages and tools. Where comprehensive extraction solutions exist, they are expensive, heavyweight, and proprietary.OXPath is a minimalistic wrapping language that is nevertheless ...
Giovanni Grasso 0001   +2 more
openaire   +3 more sources

Web scraping with excel

International Scientific Journal of Engineering and Management, 2023
Web scraping is a process that is particularly important in fields such as Business Intelligence in the modern age. Web scrapping is a technology that allow us to extract structured data from text such as HTML. Web scrapping is extremely useful in situations where doesisn’t provided in readable format such as JSON or XML.
openaire   +1 more source

Web Scraping for Data Analytics: A BeautifulSoup Implementation

2023 Sixth International Conference of Women in Data Science at Prince Sultan University (WiDS PSU), 2023
Web scraping is an essential tool for automating the data-gathering process for big data applications. There are many implementations for web scraping, but barely any of them is based on Python's BeautifulSoup library.
Ayat Abodayeh   +4 more
semanticscholar   +1 more source

Comparative Analysis of Web Scraping Methodologies Using Generative AI

International Conference on Recent Advances in Information Technology
Web scraping is a method of extracting information from websites, and it plays a crucial role in data collection for various applications such as market research, academic studies, and competitive analysis.
Dr. M. Pushpalatha, M. Shree
semanticscholar   +1 more source

Web Scraping Using Beautiful Soup

2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS)
This paper explores the power of Beautiful Soup, a Python library, for web scraping. We delve into the advantages of web scraping for data acquisition, highlighting its limitations and ethical considerations.
Sakshi Pant   +5 more
semanticscholar   +1 more source

Leveraging Large Language Models for Web Scraping

arXiv.org
Large Language Models (LLMs) demonstrate remarkable capabilities in replicating human tasks and boosting productivity. However, their direct application for data extraction presents limitations due to a prioritisation of fluency over factual accuracy and
Aman Ahluwalia, Suhrud Wani
semanticscholar   +1 more source

Automating Web Data Collection: Challenges, Solutions, and Python-Based Strategies for Effective Web Scraping

2024 7th International Conference on Internet Applications, Protocols, and Services (NETAPPS)
The process of collecting and retrieving such a massive amount of data is difficult, especially when manual approach is the only option. Instead, we can use web scraping to automate the process of collecting web data using bots or automated scripts known
Mutaz Abdel Wahed   +5 more
semanticscholar   +1 more source

Introduction to Web Scraping

2020
In this chapter, you will learn about the common use cases for web scraping. The overall goal of this book is to take raw web crawls and transform them into structured data which can be used for providing actionable insights. We will demonstrate applications of such a structured data from a rest API endpoint by performing sentiment analysis on Reddit ...
openaire   +1 more source

From Web Scraping to Web Crawling

2018
So far, the examples in the book have been quite simple in the sense that we only scraped (mostly) a single page. When writing web scrapers, however, there are many occasions where you’ll wish to scrape multiple pages and even multiple websites. In this context, the name “web crawler” is oftentimes used, as it will “crawl” across a site or even the ...
Seppe vanden Broucke, Bart Baesens
openaire   +1 more source

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