UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 8
August-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2208260


Registration ID:
402513

Page Number

c545-c548

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Title

Web Scraping for e-Commerce Research

Abstract

Web scraping is basically an interactive method for website and some other online sources to browse for and access data. To delete a replica of the information and save it in an external archive for review, it uses software engineering technology and custom software programming to extract data or any other content of on-line sources. Web scraping is often called automatic data gathering, database discovery, database crawling, or content management mining. Web scraping has possibly existed since before the start of the World Wide Web, but it has been used mainly in the context of data analytics, and is generally associated to e-commerce. Web scraping technique provides a broad collection of options and can serve various purposes: A web crawler's least necessity is to automate the normally physical work of gathering cost quotation marks and website article details. A web crawler's main requirement will be to discover formerly inaccessible sources of price data, and include a survey of all accessible price information. This scraping process is performed using different technologies which can be automatic application tools or manual methods. This paper provides the overall review of web scraping technology, how it is carried out and the effects of this technology.

Key Words

Web scraping, E-commerce, Data extraction, Web crawler, automatic tools

Cite This Article

"Web Scraping for e-Commerce Research", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.c545-c548, August-2022, Available :http://www.jetir.org/papers/JETIR2208260.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Web Scraping for e-Commerce Research", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppc545-c548, August-2022, Available at : http://www.jetir.org/papers/JETIR2208260.pdf

Publication Details

Published Paper ID: JETIR2208260
Registration ID: 402513
Published In: Volume 9 | Issue 8 | Year August-2022
DOI (Digital Object Identifier):
Page No: c545-c548
Country: Madurai, Tamilnadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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