Automatic Extraction of Product Information from Multiple e-Commerce Web Sites

  • Samiah Jan NastiEmail author
  • M. Asger
  • Muheet Ahmad Butt
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 597)


With the growth of e-commerce, shopping online has now become a part and parcel of every one’s life. The advantage of e-commerce Web sites is that they can reach to a very large number of customers despite of distance and time limitations. The main aim of this paper is to extract the product information from various e-commerce sites. Extraction of such information can help the business organizations to fetch and attract the large number of customers to their Web site and increase profit. So, in this paper, we propose a fully automatic method which will extract and integrate information from multiple e-commerce Web sites in order to improve business decision making. The proposed method is also comparatively better at precision and recall than other methods.


Document Object Model (DOM) tree Crawling Clustering Wrapper generation 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Samiah Jan Nasti
    • 1
    Email author
  • M. Asger
    • 2
  • Muheet Ahmad Butt
    • 3
  1. 1.Department of Computer SciencesBGSB UniversityRajouriIndia
  2. 2.School of Mathematical Sciences and EngineeringBGSB UniversityRajouriIndia
  3. 3.Department of Computer SciencesUniversity of Kashmir Hazratbal SrinagarSrinagarIndia

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