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<?xml version="1.0" encoding="utf-8" ?>
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta http-equiv="Content-Style-Type" content="text/css" />
<meta name="generator" content="pandoc" />
<meta name="author" content="Mansun Kuo" />
<meta name="date" content="2016-01-23" />
<title>RCrawler101-201512</title>
<style type="text/css">code{white-space: pre;}</style>
<style type="text/css">
table.sourceCode, tr.sourceCode, td.lineNumbers, td.sourceCode {
margin: 0; padding: 0; vertical-align: baseline; border: none; }
table.sourceCode { width: 100%; line-height: 100%; }
td.lineNumbers { text-align: right; padding-right: 4px; padding-left: 4px; color: #aaaaaa; border-right: 1px solid #aaaaaa; }
td.sourceCode { padding-left: 5px; }
code > span.kw { color: #007020; font-weight: bold; }
code > span.dt { color: #902000; }
code > span.dv { color: #40a070; }
code > span.bn { color: #40a070; }
code > span.fl { color: #40a070; }
code > span.ch { color: #4070a0; }
code > span.st { color: #4070a0; }
code > span.co { color: #60a0b0; font-style: italic; }
code > span.ot { color: #007020; }
code > span.al { color: #ff0000; font-weight: bold; }
code > span.fu { color: #06287e; }
code > span.er { color: #ff0000; font-weight: bold; }
</style>
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</head>
<body>
<div class="slide titlepage">
<h1 class="title">RCrawler101-201512</h1>
<h1 class="subtitle">Week 2</h1>
<p class="author">
Mansun Kuo
</p>
<p class="date">2016-01-23</p>
</div>
<div id="outline" class="slide section level2">
<h1>Outline</h1>
<ul>
<li>Hello RStudio</li>
<li>R recap</li>
<li>Crawler’s toolkits in R</li>
<li>Save your data</li>
<li>Case study</li>
<li>References</li>
</ul>
</div>
<div id="hello-rstudio" class="slide section level2">
<h1>Hello RStudio</h1>
<p><img 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" width="1000"></p>
</div>
<div id="must-known-keyboard-shortcuts" class="slide section level2">
<h1>Must-known keyboard shortcuts</h1>
<p><a href="https://support.rstudio.com/hc/en-us/articles/200711853-Keyboard-Shortcuts">All RStudio keyboard shortcuts</a></p>
<table>
<thead>
<tr class="header">
<th align="left">Description</th>
<th align="left">Windows & Linux</th>
<th align="left">Mac</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">Show Keyboard Shortcut Reference</td>
<td align="left">Alt+Shift+K</td>
<td align="left">Option+Shift+K</td>
</tr>
<tr class="even">
<td align="left">Attempt completion / Indent</td>
<td align="left">Tab or Ctrl+Space</td>
<td align="left">Tab or Command+Space</td>
</tr>
<tr class="odd">
<td align="left">Run current line/selection</td>
<td align="left">Ctrl+Enter</td>
<td align="left">Command+Enter</td>
</tr>
<tr class="even">
<td align="left">Comment/uncomment current line/selection</td>
<td align="left">Ctrl+Shift+C</td>
<td align="left">Command+Shift+C</td>
</tr>
<tr class="odd">
<td align="left">Save active document</td>
<td align="left">Ctrl+S</td>
<td align="left">Command+S</td>
</tr>
<tr class="even">
<td align="left">Reindent lines</td>
<td align="left">Ctrl+I</td>
<td align="left">Command+I</td>
</tr>
</tbody>
</table>
</div>
<div id="r-recap" class="slide section level2">
<h1>R recap</h1>
<ul>
<li>How to get help</li>
<li>Working Environment</li>
<li>Basic Data Structure</li>
<li>Function</li>
<li>if/else, for, tryCache</li>
<li><a href="https://github.com/smbache/magrittr">magrittr</a></li>
<li><a href="https://cran.r-project.org/web/packages/data.table/index.html">data.table</a></li>
</ul>
</div>
<div id="how-to-get-help" class="slide section level2">
<h1>How to get help</h1>
<ul>
<li><code>?</code>: Access ducument in R console</li>
<li><code>??</code>: Search the halp system</li>
<li>google with appropriate keyword. For example:
<ul>
<li>R {package name}</li>
<li>R {algorithm name}</li>
</ul></li>
<li>Forum
<ul>
<li><a href="http://www.meetup.com/Taiwan-R/">Taiwan R user Group</a><br /> A free R/data analysis user group in Taiwan</li>
<li><a href="http://stackoverflow.com/questions/tagged/r">Stack Overflow</a><br /> A question and answer site for programmers</li>
<li><a href="https://www.ptt.cc/bbs/R_Language/index.html">PTT R_Language board</a><br /> A bbs forum for R in Taiwan</li>
</ul></li>
</ul>
</div>
<div id="working-environment" class="slide section level2">
<h1>Working Environment</h1>
<p>Using <code>getwd</code>/<code>setwd</code> to get/set your working directory.</p>
<pre class="sourceCode r"><code class="sourceCode r">wd =<span class="st"> </span><span class="kw">getwd</span>()
<span class="kw">setwd</span>(<span class="st">"img"</span>)
<span class="kw">getwd</span>()</code></pre>
<pre><code>## [1] "/home/mansun/github/RCrawler101-201512-2/img"</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">setwd</span>(wd)
<span class="kw">getwd</span>()</code></pre>
<pre><code>## [1] "/home/mansun/github/RCrawler101-201512-2"</code></pre>
<p>If you <a href="https://support.rstudio.com/hc/en-us/articles/200526207-Using-Projects">using Projects</a>, RStudio will change working directory for you automatically.</p>
</div>
<div id="basic-data-structure" class="slide section level2">
<h1>Basic Data Structure</h1>
<p>Vector, Matrix, Array, List and Data frame are the most basic data structure in R. These data structures can be mapped into a table according to:</p>
<ul>
<li>dimension</li>
<li>Homogeneous or Heterogeneous of data type</li>
</ul>
<table>
<thead>
<tr class="header">
<th align="left"><br></th>
<th align="left">Homogeneous</th>
<th align="left">Heterogeneous</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">1d</td>
<td align="left">Atomic vector</td>
<td align="left">List</td>
</tr>
<tr class="even">
<td align="left">2d</td>
<td align="left">Matrix</td>
<td align="left">Data frame</td>
</tr>
<tr class="odd">
<td align="left">nd</td>
<td align="left">Array</td>
</tr>
</tbody>
</table>
</div>
<div id="vector" class="slide section level2">
<h1>Vector</h1>
<p>Vector is a basic data structure in R. A scalar is a vector of length 1.</p>
<pre class="sourceCode r"><code class="sourceCode r">v1 <-<span class="st"> </span><span class="kw">c</span>(<span class="dv">1</span>:<span class="dv">10</span>)
v1</code></pre>
<pre><code>## [1] 1 2 3 4 5 6 7 8 9 10</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">is.vector</span>(v1)</code></pre>
<pre><code>## [1] TRUE</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">length</span>(v1)</code></pre>
<pre><code>## [1] 10</code></pre>
<pre class="sourceCode r"><code class="sourceCode r">s1 <-<span class="st"> </span><span class="dv">2</span>
s1</code></pre>
<pre><code>## [1] 2</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">is.vector</span>(s1)</code></pre>
<pre><code>## [1] TRUE</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">length</span>(s1)</code></pre>
<pre><code>## [1] 1</code></pre>
</div>
<div id="type-of-vector" class="slide section level2">
<h1>Type of Vector</h1>
<p>Vector can contains several kinds of type. Type describes how the object is stored in memory. Elements in a vector will convert into looser types.</p>
<pre class="sourceCode r"><code class="sourceCode r">logical_v =<span class="st"> </span><span class="kw">c</span>(<span class="ot">TRUE</span>, <span class="ot">FALSE</span>, T, F)
<span class="kw">typeof</span>(logical_v)</code></pre>
<pre><code>## [1] "logical"</code></pre>
<pre class="sourceCode r"><code class="sourceCode r">int_v <-<span class="st"> </span><span class="kw">c</span>(2L, 3L, 4L)
<span class="kw">typeof</span>(int_v)</code></pre>
<pre><code>## [1] "integer"</code></pre>
<pre class="sourceCode r"><code class="sourceCode r">numeric_v <-<span class="st"> </span><span class="kw">c</span>(<span class="fl">2.5</span>, <span class="dv">3</span>, pi)
<span class="kw">typeof</span>(numeric_v)</code></pre>
<pre><code>## [1] "double"</code></pre>
<pre class="sourceCode r"><code class="sourceCode r">character_v =<span class="st"> </span><span class="kw">c</span>(<span class="st">"apple"</span>, <span class="st">"banana"</span>, <span class="dv">1</span>)
<span class="kw">typeof</span>(character_v)</code></pre>
<pre><code>## [1] "character"</code></pre>
</div>
<div id="factor" class="slide section level2">
<h1>Factor</h1>
<p>A factor is a vector that can contain only predefined values, and is used to store categorical data. Factors are widely used in various statically function(Ex: Regression, graphics, table) in R.</p>
<pre class="sourceCode r"><code class="sourceCode r">gender <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Male"</span>, <span class="st">"Female"</span>, <span class="st">"Female"</span>, <span class="st">"Male"</span>)
gender <-<span class="st"> </span><span class="kw">factor</span>(gender)
gender</code></pre>
<pre><code>## [1] Male Female Female Male
## Levels: Female Male</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">as.integer</span>(gender)</code></pre>
<pre><code>## [1] 2 1 1 2</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">as.character</span>(gender)</code></pre>
<pre><code>## [1] "Male" "Female" "Female" "Male"</code></pre>
</div>
<div id="matrix" class="slide section level2">
<h1>Matrix</h1>
<p>Matrix is a 2-dimenstion array. You can have various <a href="http://www.statmethods.net/advstats/matrix.html">matrix operation in R</a>.</p>
<pre class="sourceCode r"><code class="sourceCode r">x <-<span class="st"> </span><span class="kw">matrix</span>(<span class="kw">c</span>(<span class="dv">2</span>,<span class="dv">1</span>,<span class="dv">3</span>,<span class="dv">2</span>), <span class="dt">nrow =</span> <span class="dv">2</span>, <span class="dt">ncol =</span> <span class="dv">2</span>)
<span class="kw">rownames</span>(x) <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"a"</span>, <span class="st">"b"</span>)
<span class="kw">colnames</span>(x) <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"x"</span>, <span class="st">"y"</span>)</code></pre>
</div>
<div id="list" class="slide section level2">
<h1>List</h1>
<p>Elements in a list can be any kinds type and its length is arbitrary. Function <code>str</code> can help you investigate the structure of a nested list.</p>
<pre class="sourceCode r"><code class="sourceCode r">li <-<span class="st"> </span><span class="kw">list</span>(<span class="dt">a =</span> <span class="dv">1</span>:<span class="dv">10</span>,
<span class="dt">b =</span> <span class="kw">c</span>(<span class="st">"apple"</span>, <span class="st">"banana"</span>))
<span class="kw">str</span>(li)</code></pre>
<pre><code>## List of 2
## $ a: int [1:10] 1 2 3 4 5 6 7 8 9 10
## $ b: chr [1:2] "apple" "banana"</code></pre>
<pre class="sourceCode r"><code class="sourceCode r">li2 <-<span class="st"> </span><span class="kw">list</span>(<span class="dt">li =</span> li,
<span class="dt">c =</span> <span class="kw">matrix</span>(<span class="dv">1</span>:<span class="dv">4</span>, <span class="dt">nrow =</span> <span class="dv">2</span>))
<span class="kw">str</span>(li2)</code></pre>
<pre><code>## List of 2
## $ li:List of 2
## ..$ a: int [1:10] 1 2 3 4 5 6 7 8 9 10
## ..$ b: chr [1:2] "apple" "banana"
## $ c : int [1:2, 1:2] 1 2 3 4</code></pre>
</div>
<div id="data-frame" class="slide section level2">
<h1>Data Frame</h1>
<p>Data frame is a 2-dimension data structure to deal with a table-like heterogeneous data.</p>
<pre class="sourceCode r"><code class="sourceCode r">df <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">gender =</span> <span class="kw">c</span>(<span class="st">"male"</span>, <span class="st">"female"</span>, <span class="st">"female"</span>, <span class="st">"male"</span>),
<span class="dt">age =</span> <span class="kw">c</span>(<span class="dv">33</span>, <span class="dv">18</span>, <span class="dv">24</span>, <span class="dv">26</span>))
## Add new column in a data frame
df$city <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Taipei"</span>, <span class="st">"Taipei"</span>, <span class="st">"Hsinchu"</span>, <span class="st">"Taichung"</span>)</code></pre>
<pre class="sourceCode r"><code class="sourceCode r">df</code></pre>
<pre><code>## gender age city
## 1 male 33 Taipei
## 2 female 18 Taipei
## 3 female 24 Hsinchu
## 4 male 26 Taichung</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">str</span>(df)</code></pre>
<pre><code>## 'data.frame': 4 obs. of 3 variables:
## $ gender: Factor w/ 2 levels "female","male": 2 1 1 2
## $ age : num 33 18 24 26
## $ city : chr "Taipei" "Taipei" "Hsinchu" "Taichung"</code></pre>
</div>
<div id="recap-data-structure" class="slide section level2">
<h1>Recap: data structure</h1>
<p>All data structures above are objects. They apply different methods and saved as different type internally.</p>
<table>
<thead>
<tr class="header">
<th align="left">object</th>
<th align="left">type</th>
<th align="left">class</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">c(1, 2.5, 3)</td>
<td align="left">double</td>
<td align="left">numeric</td>
</tr>
<tr class="even">
<td align="left">c(“male”, “female”, “female”, “male”)</td>
<td align="left">character</td>
<td align="left">character</td>
</tr>
<tr class="odd">
<td align="left">factor(c(“male”, “female”, “female”, “male”))</td>
<td align="left">integer</td>
<td align="left">factor</td>
</tr>
<tr class="even">
<td align="left">matrix(1:9, nrow = 3)</td>
<td align="left">integer</td>
<td align="left">matrix</td>
</tr>
<tr class="odd">
<td align="left">list(a = 1:10, b = c(“apple”, “banana”))</td>
<td align="left">list</td>
<td align="left">list</td>
</tr>
<tr class="even">
<td align="left">data.frame(a = 1, b = “z”)</td>
<td align="left">list</td>
<td align="left">data.frame</td>
</tr>
</tbody>
</table>
</div>
<div id="function" class="slide section level2">
<h1>Function</h1>
<p><em>To understand computations in R, two slogans are helpful:</em></p>
<ul>
<li><em>Everything that exists is an object.</em></li>
<li>*Everything that happens is a function call.“*</li>
</ul>
<p><em>— John Chambers</em></p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="st">`</span><span class="dt">+</span><span class="st">`</span></code></pre>
<pre><code>## function (e1, e2) .Primitive("+")</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="st">`</span><span class="dt"><-</span><span class="st">`</span></code></pre>
<pre><code>## .Primitive("<-")</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="st">`</span><span class="dt">[</span><span class="st">`</span></code></pre>
<pre><code>## .Primitive("[")</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="st">`</span><span class="dt">c</span><span class="st">`</span></code></pre>
<pre><code>## function (..., recursive = FALSE) .Primitive("c")</code></pre>
</div>
<div id="function-in-r" class="slide section level2">
<h1>Function in R</h1>
<p>A typical function in R may look like:</p>
<pre class="sourceCode r"><code class="sourceCode r">f <-<span class="st"> </span>function(arg1, arg2, ...) {
<span class="co"># Some magic happened</span>
<span class="kw">return</span>() <span class="co"># return something</span>
}</code></pre>
<ul>
<li>If you don’t use <code>return</code> to specify the return value, the return value will be the last expression inside the function.</li>
<li>Call by value by default<br /> send a copy of a object into a function and the input object won’t change after execution without assignment</li>
</ul>
</div>
<div id="if" class="slide section level2">
<h1>If</h1>
<p>The basc structure of conditional execution in R is:</p>
<pre class="sourceCode r"><code class="sourceCode r">if (an expression returns <span class="ot">TRUE</span> or <span class="ot">FALSE</span>) {
<span class="co"># do something</span>
} else if (another expression returns <span class="ot">TRUE</span> or <span class="ot">FALSE</span>) {
<span class="co"># do something</span>
} else {
<span class="co"># do something</span>
}</code></pre>
</div>
<div id="for" class="slide section level2">
<h1>for</h1>
<p>Iterate items in R.</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># iterate a character vector</span>
for (i in <span class="kw">c</span>(<span class="st">"a"</span>, <span class="st">"b"</span>)) {
<span class="kw">print</span>(i)
}</code></pre>
<pre><code>## [1] "a"
## [1] "b"</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># nested loop</span>
m <-<span class="st"> </span><span class="kw">matrix</span>(<span class="kw">numeric</span>(), <span class="dt">nrow =</span> <span class="dv">2</span>, <span class="dt">ncol =</span> <span class="dv">2</span>)
for (i in <span class="dv">1</span>:<span class="kw">nrow</span>(m)) {
for (j in <span class="dv">1</span>:<span class="kw">ncol</span>(m)) {
m[i, j] <-<span class="st"> </span>i *<span class="st"> </span>j
}
}
m</code></pre>
<pre><code>## [,1] [,2]
## [1,] 1 2
## [2,] 2 4</code></pre>
</div>
<div id="trycache" class="slide section level2">
<h1>tryCache</h1>
<p>tryCache let you deal with error handling in R.</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">tryCatch</span>({
result <-<span class="st"> </span>expr
}, <span class="dt">warning =</span> function(w) {
<span class="co"># warning handling </span>
}, <span class="dt">error =</span> function(e) {
<span class="co"># error handling </span>
}, finally {
<span class="co"># finally</span>
})</code></pre>
</div>
<div id="magrittr" class="slide section level2">
<h1>magrittr</h1>
<p>Pipe argument to right-hand side with <code>%>%</code></p>
<ul>
<li>x %>% f is equivalent to f(x)</li>
<li>x %>% f(y) is equivalent to f(x, y)</li>
<li>x %>% f %>% g %>% h is equivalent to h(g(f(x)))</li>
<li>x %>% f(y, .) is equivalent to f(y, x)</li>
<li>x %>% f(y, z = .) is equivalent to f(y, z = x)</li>
</ul>
</div>
<div id="data.table" class="slide section level2">
<h1>data.table</h1>
<ul>
<li>What
<ul>
<li>An enhanced version of data.frames</li>
<li>Optimize most heavy works in C</li>
<li>Minimize redundant copies</li>
</ul></li>
<li>Why
<ul>
<li>Speed</li>
<li>Automatically optimization</li>
<li>Total solution for ETL</li>
<li>Concise syntax</li>
</ul></li>
</ul>
</div>
<div id="data.table-general-form" class="slide section level2">
<h1>data.table: General Form</h1>
<p><strong>DT[i, j, by]</strong></p>
<table>
<thead>
<tr class="header">
<th align="left">R:</th>
<th align="center">i</th>
<th align="center">j</th>
<th align="center">by</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">SQL:</td>
<td align="center">where</td>
<td align="center">select/update</td>
<td align="center">group by</td>
</tr>
</tbody>
</table>
<p>Take <strong>DT</strong>, subset rows using <em>i</em>, then calculate <em>j</em>, grouped by <em>by</em>.</p>
</div>
<div id="data.table-a-quick-overview" class="slide section level2">
<h1>data.table: a quick overview</h1>
<ul>
<li><strong>data.table</strong>: get a data.table</li>
<li><strong>fread</strong>: read text file into data.table</li>
<li><strong>.</strong>: an abbreviation of list within data.table</li>
<li><strong>:=</strong>: add/remove/update a column by reference.</li>
<li><strong>by</strong>: to summarize by each group.</li>
<li><strong>.SD</strong>: <strong>S</strong>ubset of <strong>D</strong>ata.table. It’s a data table that holds the data for the current group defined using <em>by</em>.</li>
<li><strong>.SDcols</strong> specifies the columns that returned in .SD.</li>
<li><strong>.N</strong>: returns the number of rows in the subset.</li>
<li><strong>DT[ … ][ … ][ … ]</strong>: chaining. Avoid intermediate assignment.</li>
<li><strong>rbindlist</strong>: same as do.call(“rbind”, l) on data.frames, but faster.</li>
<li><strong>copy</strong>: to do a deep copy</li>
</ul>
</div>
<div id="crawlers-toolkits-in-r" class="slide section level2">
<h1>Crawler’s toolkits in R</h1>
<ul>
<li><a href="https://cran.r-project.org/web/packages/rvest/index.html">rvest</a>: a web scraper based on httr and xml2</li>
<li><a href="https://cran.r-project.org/web/packages/httr/index.html">httr</a>: toolkit of <a href="http://www.w3schools.com/tags/ref_httpmethods.asp">HTTP methods</a> in R</li>
<li><a href="https://cran.r-project.org/web/packages/XML/index.html">XML</a> & : XML parser</li>
<li><a href="https://cran.r-project.org/web/packages/xml2/index.html">xml2</a>: xml parser based on libxml2</li>
<li><a href="https://cran.r-project.org/web/packages/RCurl/index.html">RCurl</a>: a wrapper of libcurl</li>
</ul>
</div>
<div id="rvest" class="slide section level2">
<h1>rvest</h1>
<p>A web scraper designed to work with magrittr.</p>
<ul>
<li>Create a html document with <code>read_html()</code></li>
<li>Select parts of a document using css selectors or xpath
<ul>
<li><code>html_nodes(doc, css = "<css selector>")</code></li>
<li><code>html_nodes(doc, xpath = "<css selector>")</code></li>
</ul></li>
<li>Extract components with
<ul>
<li><code>html_name()</code>: the name of the tag</li>
<li><code>html_text()</code>: all text inside the tag</li>
<li><code>html_attr()</code>: contents of a single attribute</li>
<li><code>html_attrs()</code>: all attributes</li>
<li><code>html_table</code>: parse tables into data frames</li>
</ul></li>
</ul>
</div>
<div id="a-simple-html-document" class="slide section level2">
<h1>A simple HTML document</h1>
<p><a href="data/demo.html">demo</a></p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(magrittr)
doc =<span class="st"> </span><span class="kw">readLines</span>(<span class="st">"data/demo.html"</span>) %>%
<span class="st"> </span><span class="kw">paste</span>(<span class="dt">collapse =</span> <span class="st">"</span><span class="ch">\n</span><span class="st">"</span>)
<span class="kw">cat</span>(doc)</code></pre>
<pre><code>## <!DOCTYPE HTML>
## <html>
## <body>
## <div id='title' class='character'>
## <a class="link" href="http://data-sci.info/r-crawler-101/">Link</a>
## </div>
## <div id='summary' class='character'>
## <span class='title'>Number:</span>
## <span class='number'>2</span>
## </div>
## <div id='table1' class='info'>
## <table style="width:100%">
## <tr>
## <th>Name</th>
## <th>Gender</th>
## <th>Age</th>
## </tr>
## <tr>
## <td>Alice</td>
## <td>Female</td>
## <td>24</td>
## </tr>
## <tr>
## <td>Jane</td>
## <td>Female</td>
## <td>26</td>
## </tr>
## </table>
## </div>
## </body>
## </html></code></pre>
</div>
<div id="create-html-document" class="slide section level2">
<h1>Create HTML document</h1>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(rvest)</code></pre>
<pre><code>## Loading required package: xml2</code></pre>
<pre class="sourceCode r"><code class="sourceCode r">doc =<span class="st"> </span><span class="kw">read_html</span>(<span class="st">"data/demo.html"</span>)
doc</code></pre>
<pre><code>## {xml_document}
## <html>
## [1] <body>\n <div id="title" class="character">\n <a c ...</code></pre>
</div>
<div id="extract-with-css" class="slide section level2">
<h1>Extract with css</h1>
<pre class="sourceCode r"><code class="sourceCode r">doc %>%<span class="st"> </span>
<span class="st"> </span><span class="kw">html_nodes</span>(<span class="dt">css =</span> <span class="st">".character"</span>) %>%<span class="st"> </span>
<span class="st"> </span>html_text</code></pre>
<pre><code>## [1] "\n Link\n "
## [2] "\n Number:\n 2\n "</code></pre>
<pre class="sourceCode r"><code class="sourceCode r">doc %>%<span class="st"> </span>
<span class="st"> </span><span class="kw">html_nodes</span>(<span class="dt">css =</span> <span class="st">"#title > .link"</span>) %>%<span class="st"> </span>
<span class="st"> </span>html_text</code></pre>
<pre><code>## [1] "Link"</code></pre>
</div>
<div id="extract-with-xpath" class="slide section level2">
<h1>Extract with xpath</h1>
<pre class="sourceCode r"><code class="sourceCode r">doc %>%<span class="st"> </span>
<span class="st"> </span><span class="kw">html_nodes</span>(<span class="dt">xpath =</span> <span class="st">"//*[@class='character']"</span>) %>%<span class="st"> </span>
<span class="st"> </span>html_text</code></pre>
<pre><code>## [1] "\n Link\n "
## [2] "\n Number:\n 2\n "</code></pre>
<pre class="sourceCode r"><code class="sourceCode r">doc %>%<span class="st"> </span>
<span class="st"> </span><span class="kw">html_nodes</span>(<span class="dt">xpath =</span> <span class="st">"//div[@id='title']/a"</span>) %>%<span class="st"> </span>
<span class="st"> </span>html_text</code></pre>
<pre><code>## [1] "Link"</code></pre>
</div>
<div id="extract-name-of-tag" class="slide section level2">
<h1>Extract name of tag</h1>
<pre class="sourceCode r"><code class="sourceCode r">node =<span class="st"> </span>doc %>%<span class="st"> </span>
<span class="st"> </span><span class="kw">html_nodes</span>(<span class="dt">css =</span> <span class="st">"#summary"</span>) %>%<span class="st"> </span>
<span class="st"> </span>html_name
node</code></pre>
<pre><code>## [1] "div"</code></pre>
</div>
<div id="extract-link" class="slide section level2">
<h1>Extract link</h1>
<pre class="sourceCode r"><code class="sourceCode r">link =<span class="st"> </span>doc %>%<span class="st"> </span>
<span class="st"> </span><span class="kw">html_nodes</span>(<span class="dt">xpath =</span> <span class="st">"/html/body/div[@id='title']/a"</span>) %>%
<span class="st"> </span><span class="kw">html_attr</span>(<span class="st">"href"</span>)
link</code></pre>
<pre><code>## [1] "http://data-sci.info/r-crawler-101/"</code></pre>
</div>
<div id="extract-table" class="slide section level2">
<h1>Extract table</h1>
<pre class="sourceCode r"><code class="sourceCode r">students =<span class="st"> </span>doc %>%<span class="st"> </span>
<span class="st"> </span><span class="kw">html_nodes</span>(<span class="dt">xpath =</span> <span class="st">"//table"</span>) %>%
<span class="st"> </span><span class="kw">html_table</span>()
students</code></pre>
<pre><code>## [[1]]
## Name Gender Age
## 1 Alice Female 24
## 2 Jane Female 26</code></pre>
</div>
<div id="the-secret-of-url" class="slide section level2">
<h1>The secret of URL</h1>
<pre><code>URL?val1=val1&val2=val2</code></pre>
<ul>
<li>The query string is sent in the URL of a <a href="http://www.w3schools.com/tags/ref_httpmethods.asp">GET</a> request</li>
<li>Non-ASCII character and some preserved characters need to be encoded with <a href="http://www.w3schools.com/tags/ref_urlencode.asp">URL Encode</a></li>
<li>In most situation, you may need to manipulate the query string when you write a crawler</li>
</ul>
</div>
<div id="url-encoding-in-r" class="slide section level2">
<h1>Url Encoding in R</h1>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">URLencode</span>(<span class="st">" "</span>)</code></pre>
<pre><code>## [1] "%20"</code></pre>
<pre class="sourceCode r"><code class="sourceCode r">greeting =<span class="st"> "你好嗎我很好"</span>
greeting_enc =<span class="st"> </span><span class="kw">URLencode</span>(greeting)
greeting_enc</code></pre>
<pre><code>## [1] "%E4%BD%A0%E5%A5%BD%E5%97%8E%E6%88%91%E5%BE%88%E5%A5%BD"</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">URLdecode</span>(greeting_enc)</code></pre>
<pre><code>## [1] "你好嗎我很好"</code></pre>
</div>
<div id="concatenate-strings-string-formatting" class="slide section level2">
<h1>Concatenate strings / String formatting</h1>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">paste0</span>(<span class="st">"hihi"</span>, greeting)</code></pre>
<pre><code>## [1] "hihi你好嗎我很好"</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">paste0</span>(<span class="st">"hihi"</span>, greeting, <span class="dv">1</span>:<span class="dv">3</span>)</code></pre>
<pre><code>## [1] "hihi你好嗎我很好1" "hihi你好嗎我很好2" "hihi你好嗎我很好3"</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">paste</span>(<span class="st">"hihi"</span>, greeting, <span class="dv">1</span>:<span class="dv">3</span>, <span class="dt">sep =</span> <span class="st">" "</span>, <span class="dt">collapse =</span> <span class="st">","</span>)</code></pre>
<pre><code>## [1] "hihi 你好嗎我很好 1,hihi 你好嗎我很好 2,hihi 你好嗎我很好 3"</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">sprintf</span>(<span class="st">"%s,%s嗎?"</span>, <span class="st">"hihi"</span>, greeting)</code></pre>
<pre><code>## [1] "hihi,你好嗎我很好嗎?"</code></pre>
</div>
<div id="case-study-" class="slide section level2">
<h1>Case study: 東森房屋</h1>
<ul>
<li><a href="example/etwarm.html">東森房屋</a></li>
</ul>
</div>
<div id="exercise" class="slide section level2">
<h1>Exercise</h1>
<p>Try to get some houses’s information in 新北市.</p>
</div>
<div id="http-request" class="slide section level2">
<h1>HTTP request</h1>
<p>A valid HTTP request includes four things:</p>
<ul>
<li><strong>URL</strong>: a unique address for a thing</li>
<li><strong>Method</strong>:
<ul>
<li>GET: to retrieve a resource</li>
<li>POST: to create a new resource</li>
</ul></li>
<li><strong>Headers</strong>: Meta-information about a request
<ul>
<li>User-Agent</li>
<li>Cookie</li>
<li>Content-type</li>
<li><a href="https://en.wikipedia.org/wiki/List_of_HTTP_header_fields">List of HTTP header fields</a></li>
</ul></li>
<li><strong>Body</strong>: data to be send to a server</li>
</ul>
</div>
<div id="httr" class="slide section level2">
<h1>httr</h1>
<ul>
<li>Basic Features:
<ul>
<li>HTTP verbs: <code>GET()</code>, <code>POST()</code>, <code>HEAD()</code>…</li>
<li><code>http_status</code>: Translate http status code <a href="https://zh.wikipedia.org/wiki/HTTP%E7%8A%B6%E6%80%81%E7%A0%81">HTTP status</a> code</li>
<li><code>headers()</code>: Access response headers</li>
<li><code>content()</code>: Retrieve the contents of a request
<ul>
<li>as = “parsed”: detect content type automatically and parse the result</li>
<li>as = “text”: return character</li>
<li>as = “raw”: return binary</li>
</ul></li>
<li><code>set_cookies()</code>: set cookles</li>
<li><code>add_headers()</code>: add additional headers to a request.</li>
</ul></li>
</ul>
</div>
<div id="take-a-look-at-header" class="slide section level2">
<h1>Take a look at header</h1>
<p>Try to use TAB to explore object</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(httr)
url =<span class="st"> "http://ecshweb.pchome.com.tw/search/v3.3/all/results?q=sony&page=1&sort=rnk/dc"</span>
res =<span class="st"> </span><span class="kw">HEAD</span>(url)
res</code></pre>
<pre><code>## Response [http://ecshweb.pchome.com.tw/search/v3.3/all/results?q=sony&page=1&sort=rnk/dc]
## Date: 2016-01-23 11:00
## Status: 200
## Content-Type: text/html
## <EMPTY BODY></code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># HEAD won't return content</span>
res$content</code></pre>
<pre><code>## raw(0)</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># see status code</span>
<span class="kw">http_status</span>(res)</code></pre>
<pre><code>## $category
## [1] "success"
##
## $message
## [1] "success: (200) OK"</code></pre>
<pre class="sourceCode r"><code class="sourceCode r">res$status_code</code></pre>
<pre><code>## [1] 200</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># extract response headers</span>
head =<span class="st"> </span><span class="kw">headers</span>(res)
head$<span class="st">`</span><span class="dt">content-type</span><span class="st">`</span></code></pre>
<pre><code>## [1] "text/html"</code></pre>
<pre class="sourceCode r"><code class="sourceCode r">res$headers$<span class="st">`</span><span class="dt">content-type</span><span class="st">`</span></code></pre>
<pre><code>## [1] "text/html"</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># whole object</span>
res</code></pre>
<pre><code>## Response [http://ecshweb.pchome.com.tw/search/v3.3/all/results?q=sony&page=1&sort=rnk/dc]
## Date: 2016-01-23 11:00
## Status: 200
## Content-Type: text/html
## <EMPTY BODY></code></pre>
</div>
<div id="get" class="slide section level2">
<h1>GET</h1>
<p>Use <code>GET()</code> to request data from a specific resource</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(httr)
url =<span class="st"> "http://ecshweb.pchome.com.tw/search/v3.3/all/results?q=sony&page=1&sort=rnk/dc"</span>
res =<span class="st"> </span><span class="kw">GET</span>(url)
res</code></pre>
<pre><code>## Response [http://ecshweb.pchome.com.tw/search/v3.3/all/results?q=sony&page=1&sort=rnk/dc]
## Date: 2016-01-23 11:00
## Status: 200
## Content-Type: application/json
## Size: 9.34 kB</code></pre>
<pre class="sourceCode r"><code class="sourceCode r">res$request</code></pre>
<pre><code>## <request>
## GET http://ecshweb.pchome.com.tw/search/v3.3/all/results?q=sony&page=1&sort=rnk/dc
## Output: write_memory
## Options:
## * useragent: libcurl/7.35.0 r-curl/0.9.4 httr/1.0.0
## * customrequest: GET
## Headers:
## * Accept: application/json, text/xml, application/xml, */*</code></pre>
</div>
<div id="query" class="slide section level2">
<h1>Query</h1>
<p>You can assign query parameter with <code>query()</code></p>
<pre class="sourceCode r"><code class="sourceCode r">url2 =<span class="st"> "http://ecshweb.pchome.com.tw/search/v3.3/all/results"</span>
res2 =<span class="st"> </span><span class="kw">GET</span>(url2, <span class="dt">query =</span> <span class="kw">list</span>(<span class="dt">q=</span><span class="st">"sony"</span>, <span class="dt">page=</span><span class="st">"1"</span>, <span class="dt">sort=</span><span class="st">"rnk/dc"</span>))
<span class="kw">identical</span>(res$content, res2$content)</code></pre>
<pre><code>## [1] TRUE</code></pre>
</div>
<div id="use-string-template" class="slide section level2">
<h1>Use string template</h1>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(whisker)
url_template =<span class="st"> </span><span class="kw">paste0</span>(<span class="st">"http://ecshweb.pchome.com.tw/search/v3.3/all/results?"</span>,
<span class="st">"q={{q}}&page={{page}}&sort={{sort}}"</span>, <span class="dt">collapse =</span> <span class="st">""</span>)
url3 =<span class="st"> </span><span class="kw">whisker.render</span>(url_template, <span class="kw">list</span>(<span class="dt">q=</span><span class="st">"sony"</span>, <span class="dt">page=</span><span class="st">"1"</span>, <span class="dt">sort=</span><span class="st">"rnk/dc"</span>))
url3</code></pre>
<pre><code>## [1] "http://ecshweb.pchome.com.tw/search/v3.3/all/results?q=sony&page=1&sort=rnk/dc"</code></pre>
<pre class="sourceCode r"><code class="sourceCode r">res3 =<span class="st"> </span><span class="kw">GET</span>(url3)
<span class="kw">identical</span>(res$content, res3$content)</code></pre>
<pre><code>## [1] TRUE</code></pre>
</div>
<div id="parse-json-format" class="slide section level2">
<h1>Parse JSON format</h1>
<p>Yun can parse <a href="http://www.w3schools.com/json/">JSON</a> with jsonlite in R</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(jsonlite)
<span class="kw">library</span>(magrittr)
res_df =<span class="st"> </span><span class="kw">content</span>(res, <span class="dt">as =</span> <span class="st">"text"</span>) %>%<span class="st"> </span>
<span class="st"> </span><span class="kw">fromJSON</span>() %>%<span class="st"> </span>
<span class="st"> </span>.$prods <span class="co"># equivelent to (function(x) {x$prods})</span>
<span class="kw">str</span>(res_df)</code></pre>
<pre><code>## 'data.frame': 20 obs. of 11 variables:
## $ Id : chr "DYAD2O-A9006JDQE" "DYAD2O-A9006SL73" "DYAD27-A90066O9Y" "DPAD06-A90062Y3S" ...
## $ cateId : chr "DYAD2O" "DYAD2O" "DYAD27" "DPAD06" ...
## $ picS : chr "/pic/v1/data/item/201510/D/Y/A/D/2/O/sDYAD2O-A9006JDQE000_560e037b08db2.jpg" "/pic/v1/data/item/201601/D/Y/A/D/2/O/sDYAD2O-A9006SL73000_569c59133420f.jpg" "/pic/v1/data/item/201506/D/Y/A/D/2/7/sDYAD27-A90066O9Y000_5582308468c0b.jpg" "/pic/v1/data/item/201505/D/P/A/D/0/6/sDPAD06-A90062Y3S000_55599eebc0c8b.jpg" ...
## $ picB : chr "/pic/v1/data/item/201601/D/Y/A/D/2/O/DYAD2O-A9006JDQE000_569625b54a236.jpg" "/pic/v1/data/item/201601/D/Y/A/D/2/O/DYAD2O-A9006SL73000_569eebe0d5310.jpg" "/pic/v1/data/item/201506/D/Y/A/D/2/7/DYAD27-A90066O9Y000_5582308467016.jpg" "/pic/v1/data/item/201601/D/P/A/D/0/6/DPAD06-A90062Y3S000_569c44067a303.jpg" ...
## $ name : chr "SONY Xperia Z5" "SONY Xperia Z5(玫瑰石英粉)" "Sony Xperia M4 Aqua dual" "SONY KDL-48W700C 48型 LED液晶電視" ...
## $ describe : chr "▼驚喜價再送保護套SONY Xperia Z5 5.2吋美型防水旗艦機" "▼送原廠行動電源+周杰倫授權背蓋▼SONY Xperia Z5(玫瑰石英粉)" "★送迷你腳架+吊飾★Sony Xperia M4 Aqua " "SONY KDL-48W700C 48型 LED液晶電視 " ...
## $ price : int 17500 19900 6850 33900 2290 21490 19900 11900 21000 8880 ...
## $ author : chr "" "" "" "" ...
## $ brand : chr "" "" "" "" ...
## $ publishDate: chr "" "" "" "" ...
## $ isPick : int 0 0 0 0 0 0 0 0 0 0 ...</code></pre>
</div>
<div id="parse-with-loop" class="slide section level2">
<h1>Parse with loop</h1>
<pre class="sourceCode r"><code class="sourceCode r">res_list =<span class="st"> </span><span class="kw">content</span>(res, <span class="dt">as =</span> <span class="st">"parsed"</span>)
<span class="kw">str</span>(res_list$prods[[<span class="dv">1</span>]])</code></pre>
<pre><code>## List of 11
## $ Id : chr "DYAD2O-A9006JDQE"
## $ cateId : chr "DYAD2O"
## $ picS : chr "/pic/v1/data/item/201510/D/Y/A/D/2/O/sDYAD2O-A9006JDQE000_560e037b08db2.jpg"
## $ picB : chr "/pic/v1/data/item/201601/D/Y/A/D/2/O/DYAD2O-A9006JDQE000_569625b54a236.jpg"
## $ name : chr "SONY Xperia Z5"
## $ describe : chr "▼驚喜價再送保護套SONY Xperia Z5 5.2吋美型防水旗艦機"
## $ price : int 17500
## $ author : chr ""
## $ brand : chr ""
## $ publishDate: chr ""
## $ isPick : int 0</code></pre>
<pre class="sourceCode r"><code class="sourceCode r">res_df2 =<span class="st"> </span><span class="kw">data.frame</span>()
for (i in <span class="dv">1</span>:<span class="kw">length</span>(res_list$prods)) {
res_df2 =<span class="st"> </span><span class="kw">rbind</span>(res_df2,
<span class="kw">data.frame</span>(res_list$prods[[i]],
<span class="dt">stringsAsFactors =</span> <span class="ot">FALSE</span>))
}
<span class="kw">identical</span>(res_df, res_df2)</code></pre>
<pre><code>## [1] TRUE</code></pre>
</div>
<div id="parse-with-do.call" class="slide section level2">
<h1>Parse with do.call</h1>
<pre class="sourceCode r"><code class="sourceCode r">res_df3 =<span class="st"> </span><span class="kw">data.frame</span>(<span class="kw">do.call</span>(rbind, res_list$prods))
<span class="kw">identical</span>(res_df, res_df3)</code></pre>
<pre><code>## [1] FALSE</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># An ugly data.frame</span>
<span class="kw">str</span>(res_df3)</code></pre>
<pre><code>## 'data.frame': 20 obs. of 11 variables:
## $ Id :List of 20
## ..$ : chr "DYAD2O-A9006JDQE"
## ..$ : chr "DYAD2O-A9006SL73"
## ..$ : chr "DYAD27-A90066O9Y"
## ..$ : chr "DPAD06-A90062Y3S"
## ..$ : chr "DGBT30-A900649ND"
## ..$ : chr "DYAD2R-A9006QHNM"
## ..$ : chr "DPAD06-A90063WC1"
## ..$ : chr "DPAE03-A9006RR9X"
## ..$ : chr "DYAD2R-A9006LUT8"
## ..$ : chr "DYAD2J-A9006FOW2"
## ..$ : chr "DYAD27-A9006G8CA"
## ..$ : chr "DGBJA7-19006JHRF"
## ..$ : chr "DGAD01-A90054RYV"
## ..$ : chr "DGAD01-A90067X1Y"
## ..$ : chr "DYAD2P-A9006QFVE"
## ..$ : chr "DGBJA7-19006R5R7"
## ..$ : chr "DYAD2J-A9006I085"
## ..$ : chr "DGAD01-A64596174"
## ..$ : chr "DYAI49-A9006GL8L"
## ..$ : chr "DGALTU-A9005GYNM"
## $ cateId :List of 20
## ..$ : chr "DYAD2O"
## ..$ : chr "DYAD2O"
## ..$ : chr "DYAD27"
## ..$ : chr "DPAD06"
## ..$ : chr "DYAQA6"
## ..$ : chr "DYAD2R"
## ..$ : chr "DPAD06"
## ..$ : chr "DPAE03"
## ..$ : chr "DYAD2R"
## ..$ : chr "DYAD2J"
## ..$ : chr "DYAD27"
## ..$ : chr "DGBJA7"
## ..$ : chr "DGAD01"
## ..$ : chr "DGAD01"
## ..$ : chr "DYAD2P"
## ..$ : chr "DGBJA7"
## ..$ : chr "DYAD2J"
## ..$ : chr "DGAD01"
## ..$ : chr "DYAI49"
## ..$ : chr "DYAD00"
## $ picS :List of 20
## ..$ : chr "/pic/v1/data/item/201510/D/Y/A/D/2/O/sDYAD2O-A9006JDQE000_560e037b08db2.jpg"
## ..$ : chr "/pic/v1/data/item/201601/D/Y/A/D/2/O/sDYAD2O-A9006SL73000_569c59133420f.jpg"
## ..$ : chr "/pic/v1/data/item/201506/D/Y/A/D/2/7/sDYAD27-A90066O9Y000_5582308468c0b.jpg"
## ..$ : chr "/pic/v1/data/item/201505/D/P/A/D/0/6/sDPAD06-A90062Y3S000_55599eebc0c8b.jpg"
## ..$ : chr "/pic/v1/data/item/201505/D/G/B/T/3/0/sDGBT30-A900649ND000_5567e78207366.jpg"
## ..$ : chr "/pic/v1/data/item/201512/D/Y/A/D/2/R/sDYAD2R-A9006QHNM000_567b579a9715d.jpg"
## ..$ : chr "/pic/v1/data/item/201505/D/P/A/D/0/6/sDPAD06-A90063WC1000_555d97fa6dbf7.jpg"
## ..$ : chr "/pic/v1/data/item/201601/D/P/A/E/0/3/sDPAE03-A9006RR9X000_56970708b9924.jpg"
## ..$ : chr "/pic/v1/data/item/201511/D/Y/A/D/2/R/sDYAD2R-A9006LUT8000_563720e98e6f5.jpg"
## ..$ : chr "/pic/v1/data/item/201508/D/Y/A/D/2/J/sDYAD2J-A9006FOW2000_55daeea2b67c3.jpg"
## ..$ : chr "/pic/v1/data/item/201508/D/Y/A/D/2/7/sDYAD27-A9006G8CA000_55e41f7def3c6.jpg"
## ..$ : chr "/pic/v1/data/item/201510/D/G/B/J/A/7/sDGBJA7-19006JHRF000_5611f51163fef.jpg"
## ..$ : chr "/pic/v1/data/item/201405/D/G/A/D/0/1/sDGAD01-A90054RYV000_5375d3251963b.jpg"
## ..$ : chr "/pic/v1/data/item/201506/D/G/A/D/0/1/sDGAD01-A90067X1Y000_55924b5c3f3c8.jpg"
## ..$ : chr "/pic/v1/data/item/201512/D/Y/A/D/2/P/sDYAD2P-A9006QFVE000_567a69394bb07.jpg"
## ..$ : chr "/pic/v1/data/item/201512/D/G/B/J/A/7/sDGBJA7-19006R5R7000_5684d4b1b49f7.jpg"
## ..$ : chr "/pic/v1/data/item/201509/D/Y/A/D/2/J/sDYAD2J-A9006I085000_55f7f34abd5c9.jpg"
## ..$ : chr "/pic/v1/data/item/201206/D/G/A/D/0/1/sDGAD01-A64596174000_4fd97439bada1"
## ..$ : chr "/pic/v1/data/item/201509/D/Y/A/I/4/9/sDYAI49-A9006GL8L000_55e81d402f9e7.jpg"
## ..$ : chr "/pic/v1/data/item/201409/D/G/A/L/T/U/sDGALTU-A9005GYNM000_5423793c7987a.png"
## $ picB :List of 20
## ..$ : chr "/pic/v1/data/item/201601/D/Y/A/D/2/O/DYAD2O-A9006JDQE000_569625b54a236.jpg"
## ..$ : chr "/pic/v1/data/item/201601/D/Y/A/D/2/O/DYAD2O-A9006SL73000_569eebe0d5310.jpg"
## ..$ : chr "/pic/v1/data/item/201506/D/Y/A/D/2/7/DYAD27-A90066O9Y000_5582308467016.jpg"
## ..$ : chr "/pic/v1/data/item/201601/D/P/A/D/0/6/DPAD06-A90062Y3S000_569c44067a303.jpg"
## ..$ : chr "/pic/v1/data/item/201510/D/G/B/T/3/0/DGBT30-A900649ND000_562ede06e0dc7.jpg"
## ..$ : chr "/pic/v1/data/item/201601/D/Y/A/D/2/R/DYAD2R-A9006QHNM000_569f29f082e90.jpg"
## ..$ : chr "/pic/v1/data/item/201601/D/P/A/D/0/6/DPAD06-A90063WC1000_56a1fec5d2104.jpg"
## ..$ : chr "/pic/v1/data/item/201601/D/P/A/E/0/3/DPAE03-A9006RR9X000_56970708b6c29.jpg"
## ..$ : chr "/pic/v1/data/item/201601/D/Y/A/D/2/R/DYAD2R-A9006LUT8000_569f2a1c4027a.jpg"
## ..$ : chr "/pic/v1/data/item/201511/D/Y/A/D/2/J/DYAD2J-A9006FOW2000_56493d32e0bcb.jpg"
## ..$ : chr "/pic/v1/data/item/201601/D/Y/A/D/2/7/DYAD27-A9006G8CA000_568f1fe5bb9ec.jpg"
## ..$ : chr "/pic/v1/data/item/201510/D/G/B/J/A/7/DGBJA7-19006JHRF000_5611f5115ed74.jpg"
## ..$ : chr "/pic/v1/data/item/201509/D/G/A/D/0/1/DGAD01-A90054RYV000_55ecef3cbfa3c.jpg"
## ..$ : chr "/pic/v1/data/item/201601/D/G/A/D/0/1/DGAD01-A90067X1Y000_569d9d5aac2ba.jpg"
## ..$ : chr "/pic/v1/data/item/201601/D/Y/A/D/2/P/DYAD2P-A9006QFVE000_5693114bad60a.jpg"
## ..$ : chr "/pic/v1/data/item/201512/D/G/B/J/A/7/DGBJA7-19006R5R7000_5684d4b1af34c.png"
## ..$ : chr "/pic/v1/data/item/201509/D/Y/A/D/2/J/DYAD2J-A9006I085000_55f7f34aba324.jpg"
## ..$ : chr "/pic/v1/data/item/201408/D/G/A/D/0/1/DGAD01-A64596174000_53e8266ca8bc7.jpg"
## ..$ : chr "/pic/v1/data/item/201512/D/Y/A/I/4/9/DYAI49-A9006GL8L000_56736989580a6.jpg"
## ..$ : chr "/pic/v1/data/item/201601/D/G/A/L/T/U/DGALTU-A9005GYNM000_569310baf3a9c.jpg"
## $ name :List of 20
## ..$ : chr "SONY Xperia Z5"
## ..$ : chr "SONY Xperia Z5(玫瑰石英粉)"
## ..$ : chr "Sony Xperia M4 Aqua dual"
## ..$ : chr "SONY KDL-48W700C 48型 LED液晶電視"
## ..$ : chr "SONY SBH70 (防水IP57)無線藍牙耳機"
## ..$ : chr "SONY Xperia Z5 Premium"
## ..$ : chr "SONY KDL-40W700C 40型 LED液晶電視"
## ..$ : chr "Sony 行動微型投影機 MP-CL1"
## ..$ : chr "SONY Xperia Z5 Premium"
## ..$ : chr "SONY Xperia C5 Ultra (E5553)"
## ..$ : chr "Sony Xperia M4 Aqua dual"
## ..$ : chr "SONY PS4主機 CUH-1207A系列500G(冰河白)"
## ..$ : chr "SONY DSC-RX100M3(公司貨)"
## ..$ : chr "SONY數位相機 RX100 M4 (公司貨)"
## ..$ : chr "SONY Xperia Z5 Compact"
## ..$ : chr "SONY PS4主機「Ai 探險包」500G 極致黑(CUH-1207A)"
## ..$ : chr "Sony Xperia C5 Ultra E5553 6吋八核自拍機 "
## ..$ : chr "SONY DSC-RX100(公司貨)"
## ..$ : chr "SONY SWR12 藍牙手環"
## ..$ : chr "SONY Xperia Z3 (D6653)"
## $ describe :List of 20
## ..$ : chr "▼驚喜價再送保護套SONY Xperia Z5 5.2吋美型防水旗艦機"
## ..$ : chr "▼送原廠行動電源+周杰倫授權背蓋▼SONY Xperia Z5(玫瑰石英粉)"
## ..$ : chr "★送迷你腳架+吊飾★Sony Xperia M4 Aqua "
## ..$ : chr "SONY KDL-48W700C 48型 LED液晶電視 "
## ..$ : chr "◤熱銷商品◢ SONY SBH70 (防水IP57)無線藍牙耳機"
## ..$ : chr "▼送64G卡+支架↘▼SONY Xperia Z5 Premium"
## ..$ : chr "▼每日強檔‧轟殺特賣▼SONY KDL-40W700C 40型 LED液晶電視"
## ..$ : chr "Sony 行動微型投影機 MP-CL1"
## ..$ : chr "▼送原廠立架+玻璃保貼+SONY賀春磁鐵+觸控筆吊飾▼SONY Xperia Z5 Premium"
## ..$ : chr "▼送玻璃保貼▼SONY Xperia C5 Ultra 八核心6吋4G LTE大螢幕慧型手機"
## ..$ : chr "▼下殺送16G卡▼Sony Xperia M4 Aqua "
## ..$ : chr " 強檔遊戲任選SONY PS4主機 CUH-1207A系列500G(冰河白)"
## ..$ : chr "F1.8★32G卡+電池組SONY DSC-RX100M3(公司貨)"
## ..$ : chr "▼年終獎金▼SONY RX100 M4(公司貨)"
## ..$ : chr "▼送32G卡+原廠皮套▼SONY Xperia Z5 Compact"
## ..$ : chr "精選遊戲+3個月Plus+限量海報SONY PS4主機「Ai 探險包」500G 極致黑"
## ..$ : chr "送保護套+玻璃保貼Sony Xperia C5 Ultra E5553 6吋八核自拍機 "
## ..$ : chr "原廠降2千★手持夜拍SONY DSC-RX100(公司貨)"
## ..$ : chr "SONY SWR12 藍牙手環"
## ..$ : chr "▼送16G+手腕漂浮帶▼SONY Xperia Z3 (D6653)"
## $ price :List of 20
## ..$ : int 17500
## ..$ : int 19900
## ..$ : int 6850
## ..$ : int 33900
## ..$ : int 2290
## ..$ : int 21490
## ..$ : int 19900
## ..$ : int 11900
## ..$ : int 21000
## ..$ : int 8880
## ..$ : int 6890
## ..$ : int 11980
## ..$ : int 22980
## ..$ : int 28980
## ..$ : int 15490
## ..$ : int 12980
## ..$ : int 8990
## ..$ : int 13980
## ..$ : int 4680
## ..$ : int 12990
## $ author :List of 20
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## $ brand :List of 20
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## $ publishDate:List of 20
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