Need help in Web scraping webpages and its links by automatic funciton in R -


i interested extract data of paranormal activity reported in news, can analyze data of space , time of appearance correlations. project fun, learn , use web scraping, text extraction , spatial , time correlation analysis. please forgive me deciding on topic, wanted interesting , challenging work. first found website has collection of reported paranormal incidences, have collection 2009,2010,2011 , 2012. structure of website goes in every year have 1..10 pages...and links goes year2009 link http://paranormal.about.com/od/paranormalgeneralinfo/tp/2009-paranormal-activity.htm

in each page have collected stories under heading internal structure paranormal activity, posted 03-14-09 each of these head lines has 2 pages inside it..goes link http://paranormal.about.com/od/paranormalgeneralinfo/a/news_090314n.htm

on each of these pages have actual reported stories collected on various headlines..and actual websites link stories. interested in collecting reported text , extract information regarding kind of paranormal activity ghost, demon or ufos , time, date , place of incidents. wish analyze data spatial , time correlations. if ufo or ghosts real must have behavior , correlations in space or time in movements. long shot of story...

i need in web scraping text form above said pages. here have wrote down code follow 1 page , link down last final text want. can let me know there better , efficient way clean text final page. automation of collecting text following 10 pages whole 2009.

library(xml) #source of paranormal news about.com #first page start #2009 -  http://paranormal.about.com/od/paranormalgeneralinfo/tp/2009-paranormal-activity.htm pn.url<-"http://paranormal.about.com/od/paranormalgeneralinfo/tp/2009-paranormal-activity.htm" pn.html<-htmltreeparse(pn.url,useinternalnodes=t) pn.h3=xpathsapply(pn.html,"//h3",xmlvalue) #extracting links of headlines follow story pn.h3.links=xpathsapply(pn.html,"//h3/a/@href") #extracted links of internal structure follow ... #paranormal activity, posted 01-03-09 (following head line) #http://paranormal.about.com/od/paranormalgeneralinfo/a/news_090314n.htm pn.l1.url<-pn.h3.links[1] pn.l1.html<-htmltreeparse(pn.l1.url,useinternalnodes=t) pn.l1.links=xpathsapply(pn.l1.html,"//p/a/@href") #extracted links of internal structure follow ... #british couple has 'black-and-white-twins' twice (following head line) #http://www.msnbc.msn.com/id/28471626/ pn.l1.f1.url=pn.l1.links[7] pn.l1.f1.html=htmltreeparse(pn.l1.f1.url,useinternalnodes=t) pn.l1.f1.text=xpathsapply(pn.l1.f1.html,"//text()[not(ancestor::script)][not(ancestor::style)]",xmlvalue)

i sincerely in advance reading post , time helping me. great full expert mentor me in whole project.

regards sathish

try use scrapy , beautifulsoup libraries. despite being python based, considered best in scrapping domain. can use command line interface connect both, more details connecting r , python have here.


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