XML processing and website scraping in Java

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XML processing and website scraping in Java

How to use JSoup and XMLBeam in practice

About the Book

This book is about XML and HTML processing in the Java world.

First I tell you how I got to this topic and how I learned about XMLBeam and JSoup.

This book is practical: I have a lot of sample code in it and you can use it as a tutorial for XMLBeam and JSoup. However the documentation of those two frameworks should be read too.

I talk in this book about XML converting on the Google App Engine (to PDF, RTF, DocX, HTML), create a website scraper with JSoup and XMLBeam to compare the performance of them both.

And at the end I show how you can customize the toString option of both frameworks.

About the Author

Gábor László Hajba
Gábor László Hajba

Gábor László Hajba is a versatile Senior Software Developer at ProLion GmbH in Wiener Neustadt, Austria, specializing in Java and Python. With a deep commitment to crafting innovative solutions, Gábor not only excels in technical problem-solving but also takes pride in mentoring his colleagues, helping them grow in their professional journeys.

A published author, Gábor's book "Website Scraping with Python - Using BeautifulSoup and Scrapy", released by Apress in 2018, began as a LeanPub project in 2014, reflecting his passion for sharing knowledge and empowering developers across the globe.

In addition to his technical expertise, Gábor has embarked on a transformative coaching journey, focusing on burnout prevention and personal growth. His work as a mental trainer is dedicated to helping individuals unlock their potential, making meaningful changes in both personal and professional realms. Through his coaching practice, Gábor offers practical strategies for resilience and empowerment.

Beyond his professional endeavors, Gábor is a devoted husband and proud father of a spirited daughter and son. He also nurtures a keen interest in music, aspiring to master the bass guitar, a testament to his relentless pursuit of creativity and balance in life.

Gábor’s journey is a blend of technical mastery, coaching wisdom, and personal fulfillment, embodying his dedication to growth, both in his career and in the lives he touches.

Table of Contents

  • Preface
    • What took me the most time?
    • Acknowledgement
  • XML Processing and the Google App Engine
    • Why GAE?
    • Getting the data
    • XML to HTML
    • XML to PDF
    • XML to RTF
    • XML to “.*X”
    • Exporting the files in GAE
  • XML Processing Advanced
    • XML Extractor – my version of solving the problem (brute force)
    • Beam me up, Sven
    • Conclusion
  • XML processing when memory matters
    • SAX
    • StAX
    • JAXB
    • Code
    • Conclusion
  • Website scraping with JSoup and XMLBeam
    • Introduction of the task
    • XMLBeam
    • JSoup
    • Comparison of runtime
    • Conclusion
  • Runtime comparison advanced
    • Visualizing the data
    • No network I/O – caching the sites in the memory
    • No file I/O – parse the sites only
    • One more performance tweak
    • Conclusion
  • Upgrade to Java 8
    • New features in Java 8
    • Using parallel streams
    • Making the data preparation faster
    • Parallelizing the content scraping
  • Using other XPath engines with XMLBeam
    • Xalan
    • Saxon
    • Conclusion
  • Custom printing for HTML with JSoup
    • Prettier printing
    • Conclusion and source code
  • Printing XMLBeam projections
    • Java 6 or 7
    • Java 8
    • Java 8 revisited
    • Source code
  • Wrap-up
  • Notes

Causes Supported

Open Sourcing Mental Illness, Ltd

Changing how we talk about mental health in the tech community.
https://osmihelp.org

Changing how we talk about mental health in the tech community.

Open Sourcing Mental Illness is a non-profit, 501c3 corporation dedicated to raising awareness, educating, and providing resources to support mental wellness in the tech and open source communities. OSMI began in 2013 as a speaking campaign by Ed Finkler. Ed started speaking at tech conferences about his personal experiences as a web developer and open source advocate with a mental health disorder. The response was overwhelming, and Ed has continued to speak, gather data, and organize efforts to change experiences of those with mental health disorders in the tech workplace. This includes speaking at conferences and companies, conducting research, and creating documentation to assist companies in making supportive environments for those impacted by mental health disorders. He is assisted in these efforts by selfless volunteers who bring their time and expertise to bear on this important issue.

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