Web Scraper Application For E-Commerce

Registration ID: IJNRD_208574

Published ID: IJNRD2401099

DOI: Click Here to Get

Prashant Satyavan Chavan , Dhiraj Holkar , Pranay Bandichode

In the rapidly evolving digital world, efficient extraction of data from the web is essential for insights and decision making. Proposed project introduces a versatile web scraping solution by integrating Super-agent and Puppeteer. Super-agent efficiently handles HTTP requests and static content, while Puppeteer excels in dynamic web page interactions. The combination of their capabilities forms a robust approach for navigating and scraping modern websites. The resulting tool enables seamless extraction of both static and dynamic content, providing researchers, analysts, and businesses with a powerful tool to acquire structured data from diverse web sources, facilitating data-driven decisions and research across multiple domains. The combined power of these libraries offers an end to end solution for automating data extraction and integration. It also emphasizes on ethical considerations and the importance of adhering to legal and site specific scraping policies ensuring responsible data extraction practices.

Published Paper   E-Certificate

Prashant Satyavan Chavan, Dhiraj Holkar, & Pranay Bandichode (January-2024). Web Scraper Application For E-Commerce. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(1), a869-a872. https://ijnrd.org/papers/IJNRD2401099.pdf

Volume 9 Issue 1, January-2024

Pages : a869-a872

Paper Reg. ID: IJNRD_208574

Published Paper Id: IJNRD2401099

Downloads: 000121985

Research Area: Computer Engineering 

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2401099.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2401099

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

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