Advance Automation Tool For Web Scraping, Web Testing and Intelligent Bot Creation

DOI

10.2991/978-94-6239-693-7_107How to use a DOI?

Keywords

Web automation; web scraping; automated web testing; intelligent bots; Selenium WebDriver; machine learning; UI element detection; headless browsing; scalable data extraction; anti-detection mechanisms

Abstract

The concept of web automation has emerged as a key miler to large scale data retrieval, software testing and smart engagement with the contemporary web applications. Not all automation and scraping tools, however, are flexible enough to handle dynamic web interfaces and some need a lot of technical expertise to be used. In this paper, an advanced web automation system based on multi-method automation is proposed, which combines the simplicity of browser based automation, lightweight console based scraping, automated web testing and smart bot generation in a single framework. In the proposed framework, suitable automation strategies are dynamically chosen depending on the specifics of websites and the type of tasks needed to be fulfilled so as to effectively handle diverse content that are both constant and dynamically rendered. Machine learning-based methods are used to detect visual UI elements and adaptive interaction in order to make the interface more robust and flexible to changes in the interface. The framework also includes the features of automated testing, multiple performances, anti-detection, and the ability to process data in large volumes and export it to multiple formats. As it turns out, the proposed system is more reliable (in terms of automation), more efficient (in terms of execution), and more scalable than the traditional single-method automation tools, which will be proved by experimental evaluation and comparative analysis at the same time. The findings reveal that the framework can be successfully applied in the following areas: web testing, large-scale web scraping, enterprise automation, and intelligent data acquisition.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - D. Akshay
AU  - M. Thejashwini
AU  - G. Abeshek Victor
AU  - M. Janani
AU  - Ancy Stephen
PY  - 2026
DA  - 2026/06/16
TI  - Advance Automation Tool For Web Scraping, Web Testing and Intelligent Bot Creation
BT  - Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
PB  - Atlantis Press
SP  - 1112
EP  - 1125
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-693-7_107
DO  - 10.2991/978-94-6239-693-7_107
ID  - Akshay2026
ER  -