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Web Data Scraper Tools: Survey

S. Nain1 , B. Lall2

Section:Survey Paper, Product Type: Journal Paper
Volume-2 , Issue-5 , Page no. 39-44, May-2014

Online published on May 31, 2014

Copyright © S. Nain, B. Lall . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: S. Nain, B. Lall, “Web Data Scraper Tools: Survey,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.5, pp.39-44, 2014.

MLA Style Citation: S. Nain, B. Lall "Web Data Scraper Tools: Survey." International Journal of Computer Sciences and Engineering 2.5 (2014): 39-44.

APA Style Citation: S. Nain, B. Lall, (2014). Web Data Scraper Tools: Survey. International Journal of Computer Sciences and Engineering, 2(5), 39-44.

BibTex Style Citation:
@article{Nain_2014,
author = {S. Nain, B. Lall},
title = {Web Data Scraper Tools: Survey},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2014},
volume = {2},
Issue = {5},
month = {5},
year = {2014},
issn = {2347-2693},
pages = {39-44},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=156},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=156
TI - Web Data Scraper Tools: Survey
T2 - International Journal of Computer Sciences and Engineering
AU - S. Nain, B. Lall
PY - 2014
DA - 2014/05/31
PB - IJCSE, Indore, INDIA
SP - 39-44
IS - 5
VL - 2
SN - 2347-2693
ER -

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Abstract

World Wide Web contains a huge amount of information that is increasing rapidly. Usually data stored on the web are in unstructured and semi-structured form. In order to obtain the essential data from the web, certain data scraper tools had been invented. In this paper we intend to briefly survey Web Data Scraper Process, the taxonomy for characterizing Web Data Scraper Tools and provide qualitative analysis of them. Hopefully, this work will simulate other studies aimed at a more comprehensive analysis of data scraper approaches and tools for Web data.

Key-Words / Index Term

Wrapper; Scraper;Document Object Model(DOM)

References

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