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Commodity Search Using Web Browser Extension


Affiliations
1 Bharati Vidyapeeth College of Engineering, C.B.D, Belpada, India
 

There are so many e-commerce websites available now that the user gets confused as to which site will get them the best deal. Presently, there are websites which compare the prices but not the sentiments of the products. The user has to open the site, then input the product details and the price comparison lists thus get displayed. The proposed web browser extension presents a price comparison of all the online products to show us all the best possible prices for the products. We will extract the product information from URL using Pattern matching algorithm. The technology used for the system are Node.js, Angular.js and Mongo dB (No SQL database) Web scraping and Web Crawler. The web scraping and crawler are used to extract the raw data from e-commerce websites pages. This web browser extension will allow a simple and good experience of shopping products online.

Keywords

URL, Pattern Matching Algorithm, Node.js, Angular.js, Web Scraping and Web Crawler.
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  • Riya Shah, Karishma Pathan, Anand Masurkar, ShwetaRewatkar,Prof.(Ms.)P.N.Vengurlekar“Comparison of E-commerce Products using web mining “International Journal of Scientific and Research Publications, Volume 6, Issue 5, May 2016 640 ISSN 2250-3153

  • Jianxia Chen &Ri Huang “A Price Comparison System Based On Lucene”,Computer Science & Education (ICCSE), 2013 8th International Conference on 10.1109/ICCSE.2013.6553894

  • AndreaHorch,Holger Kett and Anette WeisbeckerFraunhofer Institute for Industrial Engineering IAOStuttgart, Germany“Mining E-Commerce Data from EShop”,Trustcom/BigDataSE/ISPA,2015IEEE,Websites’10.1109/Trustcom.2015.575


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  • Commodity Search Using Web Browser Extension

Abstract Views: 811  |  PDF Views: 385

Authors

Hitendra A. Chavan
Bharati Vidyapeeth College of Engineering, C.B.D, Belpada, India
Harshad Bhojane
Bharati Vidyapeeth College of Engineering, C.B.D, Belpada, India
Rohan Naik
Bharati Vidyapeeth College of Engineering, C.B.D, Belpada, India
Osho Priyadarshi
Bharati Vidyapeeth College of Engineering, C.B.D, Belpada, India

Abstract


There are so many e-commerce websites available now that the user gets confused as to which site will get them the best deal. Presently, there are websites which compare the prices but not the sentiments of the products. The user has to open the site, then input the product details and the price comparison lists thus get displayed. The proposed web browser extension presents a price comparison of all the online products to show us all the best possible prices for the products. We will extract the product information from URL using Pattern matching algorithm. The technology used for the system are Node.js, Angular.js and Mongo dB (No SQL database) Web scraping and Web Crawler. The web scraping and crawler are used to extract the raw data from e-commerce websites pages. This web browser extension will allow a simple and good experience of shopping products online.

Keywords


URL, Pattern Matching Algorithm, Node.js, Angular.js, Web Scraping and Web Crawler.

References