For each of the reference blog entries on the first page, you should pull out the

1) title,

2) date,

3) author,

and store these in an R data frame.

Use the following packages
library(RCurl)
## Warning: package 'RCurl' was built under R version 3.1.3
## Loading required package: bitops
library(XML)
## Warning: package 'XML' was built under R version 3.1.3
library(stringr)
library(rjson)
## Warning: package 'rjson' was built under R version 3.1.3
library(rvest)
## Warning: package 'rvest' was built under R version 3.1.3
## 
## Attaching package: 'rvest'
## 
## The following object is masked from 'package:XML':
## 
##     xml
library(reshape)
library(plyr)
## 
## Attaching package: 'plyr'
## 
## The following objects are masked from 'package:reshape':
## 
##     rename, round_any

Create Function blogScraper

Input : url
Output: Blog url, Blog Title, Blog Date and Blog Author
    blogScraper <- function(url){
    
    # to read the html document into an R object
    getPage = htmlParse(url)
    
    # get the top node or root of the document 
    root<- xmlRoot(getPage)
    
    # Gets the sub-nodes within an XMLNode
    body = xmlChildren(root)$body
    
    #The xpathSApply command first uses an XPath, and get applies a function, which is often an xmlValue function,
    # to extract the relevant values
    
    # Title Value
    blogTitle   = xpathSApply(body, "//h1", xmlValue)
      if (is.null(blogTitle))    blogTitle <- NA
    
    # Date value
    blogdate    = xpathSApply(body, "//div[@class='date']", xmlValue)
      if (is.null(blogdate))    blogdate <- NA
    
    # Author value
    blogauthor  = xpathSApply(body, "//a[@rel='author']",xmlValue)
      if (is.null(blogauthor))    blogauthor <- NA
    
    # Returns all 4 values
    return(c(url, blogTitle, blogdate, blogauthor))
    
    # Good Etiquettes - Suspend execution of R expressions for a given number of seconds
    Sys.sleep(1)
  }

Create Function getPageURLs

Input : Base url
Output : List of all page URLs in pagination
  getPageURLs <-function(url){
    
    # to read the html document into an R object
    getPage = htmlParse(url)
    
    # get the top node or root of the document
    root<- xmlRoot(getPage)
    
    # Gets the sub-nodes within an XMLNode
    body = xmlChildren(root)$body
    
    #The xpathSApply command first uses an XPath, and get applies a function, which is often an xmlValue function,
    # to extract the relevant values
    
    #Last Page Value
    max_url <- as.numeric(xpathSApply(body, "//a[@title='Last Page']" , xmlValue))
    
    # seq() - Generate regular sequences
    # start with page 1 increment by 1 until last page is reached
    # creates the extension for base url for all pages
    add_url <- str_c('/page/', seq(1, max_url, 1))
    
    # as.list() - Function to construct, coerce and check for both kinds of R lists.
    # as.list() convert character to list
    urls_list <- as.list(str_c(url, add_url))
    
    # Returns page url in a list form
    return (urls_list)
  }

This is where the main R program starts

# Use the following Blog base url
url <- "http://www.r-bloggers.com/search/web%20scraping"
Apply same function blogScraper to all the web scraping urls, to get title date and author
a <- sapply(urls, blogScraper)
class(a)
## [1] "matrix"
head(a)
##      [,1]                                                       
## [1,] "http://www.r-bloggers.com/rvest-easy-web-scraping-with-r/"
## [2,] "rvest: easy web scraping with R"                          
## [3,] "November 24, 2014"                                        
## [4,] "hadleywickham"                                            
##      [,2]                                                                                                         
## [1,] "http://www.r-bloggers.com/migrating-table-oriented-web-scraping-code-to-rvest-wxpath-css-selector-examples/"
## [2,] "Migrating Table-oriented Web Scraping Code to rvest w/XPath & CSS Selector Examples"                        
## [3,] "September 17, 2014"                                                                                         
## [4,] "Bob Rudis (@hrbrmstr)"                                                                                      
##      [,3]                                                       
## [1,] "http://www.r-bloggers.com/web-scraping-working-with-apis/"
## [2,] "Web Scraping: working with APIs"                          
## [3,] "March 12, 2014"                                           
## [4,] "Rolf Fredheim"                                            
##      [,4]                                                                        
## [1,] "http://www.r-bloggers.com/web-scraping-scaling-up-digital-data-collection/"
## [2,] "Web Scraping: Scaling up Digital Data Collection"                          
## [3,] "March 5, 2014"                                                             
## [4,] "Rolf Fredheim"                                                             
##      [,5]                                                          
## [1,] "http://www.r-bloggers.com/web-scraping-part2-digging-deeper/"
## [2,] "Web Scraping part2: Digging deeper"                          
## [3,] "February 25, 2014"                                           
## [4,] "Rolf Fredheim"                                               
##      [,6]                                                                        
## [1,] "http://www.r-bloggers.com/a-little-web-scraping-exercise-with-xml-package/"
## [2,] "A Little Web Scraping Exercise with XML-Package"                           
## [3,] "April 5, 2012"                                                             
## [4,] "Kay Cichini"                                                               
##      [,7]                                                                                                                                                                  
## [1,] "http://www.r-bloggers.com/r-web-scraping-r-bloggers-facebook-page-to-gain-further-information-about-an-authors-r-blog-posts-e-g-number-of-likes-comments-shares-etc/"
## [2,] "R: Web Scraping R-bloggers Facebook Page"                                                                                                                            
## [3,] "January 6, 2012"                                                                                                                                                     
## [4,] "Tony Breyal"                                                                                                                                                         
##      [,8]                                                                       
## [1,] "http://www.r-bloggers.com/web-scraping-with-python-the-dark-side-of-data/"
## [2,] "Web scraping with Python – the dark side of data"                         
## [3,] "December 27, 2011"                                                        
## [4,] "axiomOfChoice"                                                            
##      [,9]                                                      
## [1,] "http://www.r-bloggers.com/web-scraping-google-via-xpath/"
## [2,] "Web Scraping Google+ via XPath"                          
## [3,] "November 11, 2011"                                       
## [4,] "Tony Breyal"                                             
##      [,10]                                                                
## [1,] "http://www.r-bloggers.com/web-scraping-yahoo-search-page-via-xpath/"
## [2,] "Web Scraping Yahoo Search Page via XPath"                           
## [3,] "November 10, 2011"                                                  
## [4,] "Tony Breyal"                                                        
##      [,11]                                                                           
## [1,] "http://www.r-bloggers.com/web-scraping-google-scholar-part-2-complete-success/"
## [2,] "Web Scraping Google Scholar: Part 2 (Complete Success)"                        
## [3,] "November 8, 2011"                                                              
## [4,] "Tony Breyal"                                                                   
##      [,12]                                                                   
## [1,] "http://www.r-bloggers.com/web-scraping-google-scholar-partial-success/"
## [2,] "Web Scraping Google Scholar (Partial Success)"                         
## [3,] "November 8, 2011"                                                      
## [4,] "Tony Breyal"                                                           
##      [,13]                                                
## [1,] "http://www.r-bloggers.com/web-scraping-google-urls/"
## [2,] "Web Scraping Google URLs"                           
## [3,] "November 7, 2011"                                   
## [4,] "Tony Breyal"                                        
##      [,14]                                               
## [1,] "http://www.r-bloggers.com/next-level-web-scraping/"
## [2,] "Next Level Web Scraping"                           
## [3,] "November 5, 2011"                                  
## [4,] "Kay Cichini"                                       
##      [,15]                                                                                     
## [1,] "http://www.r-bloggers.com/web-scraping-google-scholar-show-result-as-word-cloud-using-r/"
## [2,] "Web Scraping Google Scholar & Show Result as Word Cloud Using R"                         
## [3,] "November 1, 2011"                                                                        
## [4,] "Kay Cichini"                                                                             
##      [,16]                                                               
## [1,] "http://www.r-bloggers.com/fomc-dates-scraping-data-from-web-pages/"
## [2,] "FOMC Dates – Scraping Data From Web Pages"                         
## [3,] "November 30, 2014"                                                 
## [4,] "Peter Chan"                                                        
##      [,17]                                               
## [1,] "http://www.r-bloggers.com/web-scraping-the-basics/"
## [2,] "Web-Scraping: the Basics"                          
## [3,] "February 19, 2014"                                 
## [4,] "Rolf Fredheim"                                     
##      [,18]                                                                                                         
## [1,] "http://www.r-bloggers.com/r-and-the-web-for-beginners-part-iii-scraping-mps-expenses-in-detail-from-the-web/"
## [2,] "R and the web (for beginners), Part III: Scraping MPs’ expenses in detail from the web"                      
## [3,] "August 23, 2012"                                                                                             
## [4,] "GivenTheData"                                                                                                
##      [,19]                                         
## [1,] "http://www.r-bloggers.com/web-scraping-in-r/"
## [2,] "Web-Scraping in R"                           
## [3,] "April 2, 2012"                               
## [4,] "diffuseprior"                                
##      [,20]                                                                                  
## [1,] "http://www.r-bloggers.com/short-r-tutorial-scraping-javascript-generated-data-with-r/"
## [2,] "Short R tutorial: Scraping Javascript Generated Data with R"                          
## [3,] "March 15, 2015"                                                                       
## [4,] "DataCamp"                                                                             
##      [,21]                                                          
## [1,] "http://www.r-bloggers.com/fomc-dates-full-history-web-scrape/"
## [2,] "FOMC Dates – Full History Web Scrape"                         
## [3,] "January 21, 2015"                                             
## [4,] "Peter Chan"                                                   
##      [,22]                                                                       
## [1,] "http://www.r-bloggers.com/r-screen-scraping-105-counties-of-election-data/"
## [2,] "R Screen Scraping: 105 Counties of Election Data"                          
## [3,] "February 18, 2011"                                                         
## [4,] "Earl Glynn"                                                                
##      [,23]                                                        
## [1,] "http://www.r-bloggers.com/simple-r-screen-scraping-example/"
## [2,] "Simple R Screen Scraping Example"                           
## [3,] "February 18, 2011"                                          
## [4,] "Earl Glynn"                                                 
##      [,24]                                                                                     
## [1,] "http://www.r-bloggers.com/automatically-scrape-flight-ticket-data-using-r-and-phantomjs/"
## [2,] "Automatically Scrape Flight Ticket Data Using R and Phantomjs"                           
## [3,] "April 30, 2014"                                                                          
## [4,] "Huidong Tian"                                                                            
##      [,25]                                                                                     
## [1,] "http://www.r-bloggers.com/r-a-quick-scrape-of-top-grossing-films-from-boxofficemojo-com/"
## [2,] "R: A Quick Scrape of Top Grossing Films from boxofficemojo.com"                          
## [3,] "January 13, 2012"                                                                        
## [4,] "Tony Breyal"
transpose all entries to have a row for each record
a <- t(a)
class(a)
## [1] "matrix"
head(a)
##      [,1]                                                                                                         
## [1,] "http://www.r-bloggers.com/rvest-easy-web-scraping-with-r/"                                                  
## [2,] "http://www.r-bloggers.com/migrating-table-oriented-web-scraping-code-to-rvest-wxpath-css-selector-examples/"
## [3,] "http://www.r-bloggers.com/web-scraping-working-with-apis/"                                                  
## [4,] "http://www.r-bloggers.com/web-scraping-scaling-up-digital-data-collection/"                                 
## [5,] "http://www.r-bloggers.com/web-scraping-part2-digging-deeper/"                                               
## [6,] "http://www.r-bloggers.com/a-little-web-scraping-exercise-with-xml-package/"                                 
##      [,2]                                                                                 
## [1,] "rvest: easy web scraping with R"                                                    
## [2,] "Migrating Table-oriented Web Scraping Code to rvest w/XPath & CSS Selector Examples"
## [3,] "Web Scraping: working with APIs"                                                    
## [4,] "Web Scraping: Scaling up Digital Data Collection"                                   
## [5,] "Web Scraping part2: Digging deeper"                                                 
## [6,] "A Little Web Scraping Exercise with XML-Package"                                    
##      [,3]                 [,4]                   
## [1,] "November 24, 2014"  "hadleywickham"        
## [2,] "September 17, 2014" "Bob Rudis (@hrbrmstr)"
## [3,] "March 12, 2014"     "Rolf Fredheim"        
## [4,] "March 5, 2014"      "Rolf Fredheim"        
## [5,] "February 25, 2014"  "Rolf Fredheim"        
## [6,] "April 5, 2012"      "Kay Cichini"
force Matrix into a dataframe
a <- as.data.frame(a)
class(a)
## [1] "data.frame"
head(a)
##                                                                                                            V1
## 1                                                   http://www.r-bloggers.com/rvest-easy-web-scraping-with-r/
## 2 http://www.r-bloggers.com/migrating-table-oriented-web-scraping-code-to-rvest-wxpath-css-selector-examples/
## 3                                                   http://www.r-bloggers.com/web-scraping-working-with-apis/
## 4                                  http://www.r-bloggers.com/web-scraping-scaling-up-digital-data-collection/
## 5                                                http://www.r-bloggers.com/web-scraping-part2-digging-deeper/
## 6                                  http://www.r-bloggers.com/a-little-web-scraping-exercise-with-xml-package/
##                                                                                    V2
## 1                                                     rvest: easy web scraping with R
## 2 Migrating Table-oriented Web Scraping Code to rvest w/XPath & CSS Selector Examples
## 3                                                     Web Scraping: working with APIs
## 4                                    Web Scraping: Scaling up Digital Data Collection
## 5                                                  Web Scraping part2: Digging deeper
## 6                                     A Little Web Scraping Exercise with XML-Package
##                   V3                    V4
## 1  November 24, 2014         hadleywickham
## 2 September 17, 2014 Bob Rudis (@hrbrmstr)
## 3     March 12, 2014         Rolf Fredheim
## 4      March 5, 2014         Rolf Fredheim
## 5  February 25, 2014         Rolf Fredheim
## 6      April 5, 2012           Kay Cichini
Name the dataframe columns appropriately
a <- rename(a, c("V1"="Blog_URL", "V2"="Blog_Title", "V3" = "Blog_Date", "V4" = "Blog_Author"))
class(a)
## [1] "data.frame"
a
##                                                                                                                                                                Blog_URL
## 1                                                                                                             http://www.r-bloggers.com/rvest-easy-web-scraping-with-r/
## 2                                                           http://www.r-bloggers.com/migrating-table-oriented-web-scraping-code-to-rvest-wxpath-css-selector-examples/
## 3                                                                                                             http://www.r-bloggers.com/web-scraping-working-with-apis/
## 4                                                                                            http://www.r-bloggers.com/web-scraping-scaling-up-digital-data-collection/
## 5                                                                                                          http://www.r-bloggers.com/web-scraping-part2-digging-deeper/
## 6                                                                                            http://www.r-bloggers.com/a-little-web-scraping-exercise-with-xml-package/
## 7  http://www.r-bloggers.com/r-web-scraping-r-bloggers-facebook-page-to-gain-further-information-about-an-authors-r-blog-posts-e-g-number-of-likes-comments-shares-etc/
## 8                                                                                             http://www.r-bloggers.com/web-scraping-with-python-the-dark-side-of-data/
## 9                                                                                                              http://www.r-bloggers.com/web-scraping-google-via-xpath/
## 10                                                                                                  http://www.r-bloggers.com/web-scraping-yahoo-search-page-via-xpath/
## 11                                                                                       http://www.r-bloggers.com/web-scraping-google-scholar-part-2-complete-success/
## 12                                                                                               http://www.r-bloggers.com/web-scraping-google-scholar-partial-success/
## 13                                                                                                                  http://www.r-bloggers.com/web-scraping-google-urls/
## 14                                                                                                                   http://www.r-bloggers.com/next-level-web-scraping/
## 15                                                                             http://www.r-bloggers.com/web-scraping-google-scholar-show-result-as-word-cloud-using-r/
## 16                                                                                                   http://www.r-bloggers.com/fomc-dates-scraping-data-from-web-pages/
## 17                                                                                                                   http://www.r-bloggers.com/web-scraping-the-basics/
## 18                                                         http://www.r-bloggers.com/r-and-the-web-for-beginners-part-iii-scraping-mps-expenses-in-detail-from-the-web/
## 19                                                                                                                         http://www.r-bloggers.com/web-scraping-in-r/
## 20                                                                                http://www.r-bloggers.com/short-r-tutorial-scraping-javascript-generated-data-with-r/
## 21                                                                                                        http://www.r-bloggers.com/fomc-dates-full-history-web-scrape/
## 22                                                                                           http://www.r-bloggers.com/r-screen-scraping-105-counties-of-election-data/
## 23                                                                                                          http://www.r-bloggers.com/simple-r-screen-scraping-example/
## 24                                                                             http://www.r-bloggers.com/automatically-scrape-flight-ticket-data-using-r-and-phantomjs/
## 25                                                                             http://www.r-bloggers.com/r-a-quick-scrape-of-top-grossing-films-from-boxofficemojo-com/
##                                                                                Blog_Title
## 1                                                         rvest: easy web scraping with R
## 2     Migrating Table-oriented Web Scraping Code to rvest w/XPath & CSS Selector Examples
## 3                                                         Web Scraping: working with APIs
## 4                                        Web Scraping: Scaling up Digital Data Collection
## 5                                                      Web Scraping part2: Digging deeper
## 6                                         A Little Web Scraping Exercise with XML-Package
## 7                                                R: Web Scraping R-bloggers Facebook Page
## 8                                        Web scraping with Python – the dark side of data
## 9                                                          Web Scraping Google+ via XPath
## 10                                               Web Scraping Yahoo Search Page via XPath
## 11                                 Web Scraping Google Scholar: Part 2 (Complete Success)
## 12                                          Web Scraping Google Scholar (Partial Success)
## 13                                                               Web Scraping Google URLs
## 14                                                                Next Level Web Scraping
## 15                        Web Scraping Google Scholar & Show Result as Word Cloud Using R
## 16                                              FOMC Dates – Scraping Data From Web Pages
## 17                                                               Web-Scraping: the Basics
## 18 R and the web (for beginners), Part III: Scraping MPs’ expenses in detail from the web
## 19                                                                      Web-Scraping in R
## 20                            Short R tutorial: Scraping Javascript Generated Data with R
## 21                                                   FOMC Dates – Full History Web Scrape
## 22                                       R Screen Scraping: 105 Counties of Election Data
## 23                                                       Simple R Screen Scraping Example
## 24                          Automatically Scrape Flight Ticket Data Using R and Phantomjs
## 25                         R: A Quick Scrape of Top Grossing Films from boxofficemojo.com
##             Blog_Date           Blog_Author
## 1   November 24, 2014         hadleywickham
## 2  September 17, 2014 Bob Rudis (@hrbrmstr)
## 3      March 12, 2014         Rolf Fredheim
## 4       March 5, 2014         Rolf Fredheim
## 5   February 25, 2014         Rolf Fredheim
## 6       April 5, 2012           Kay Cichini
## 7     January 6, 2012           Tony Breyal
## 8   December 27, 2011         axiomOfChoice
## 9   November 11, 2011           Tony Breyal
## 10  November 10, 2011           Tony Breyal
## 11   November 8, 2011           Tony Breyal
## 12   November 8, 2011           Tony Breyal
## 13   November 7, 2011           Tony Breyal
## 14   November 5, 2011           Kay Cichini
## 15   November 1, 2011           Kay Cichini
## 16  November 30, 2014            Peter Chan
## 17  February 19, 2014         Rolf Fredheim
## 18    August 23, 2012          GivenTheData
## 19      April 2, 2012          diffuseprior
## 20     March 15, 2015              DataCamp
## 21   January 21, 2015            Peter Chan
## 22  February 18, 2011            Earl Glynn
## 23  February 18, 2011            Earl Glynn
## 24     April 30, 2014          Huidong Tian
## 25   January 13, 2012           Tony Breyal