Reader small image

You're reading from  Learning R Programming

Product typeBook
Published inOct 2016
Reading LevelBeginner
PublisherPackt
ISBN-139781785889776
Edition1st Edition
Languages
Tools
Right arrow
Author (1)
Kun Ren
Kun Ren
author image
Kun Ren

Kun Ren has used R for nearly 4 years in quantitative trading, along with C++ and C#, and he has worked very intensively (more than 8-10 hours every day) on useful R packages that the community does not offer yet. He contributes to packages developed by other authors and reports issues to make things work better. He is also a frequent speaker at R conferences in China and has given multiple talks. Kun also has a great social media presence. Additionally, he has substantially contributed to various projects, which is evident from his GitHub account: https://github.com/renkun-ken https://cn.linkedin.com/in/kun-ren-76027530 http://renkun.me/ http://renkun.me/formattable/ http://renkun.me/pipeR/ http://renkun.me/rlist/
Read more about Kun Ren

Right arrow

Learning XPath selectors


In the previous section, we learned about CSS selectors and how to use them as well as functions provided by the rvest package to extract contents from web pages.

CSS selectors are powerful enough to serve most needs of HTML node matching. However, sometimes an even more powerful technique is required to select nodes that meet more special conditions.

Take a look at the following web page a bit more complex than data/products.html:

This web page is stored as a standalone HTML file at data/new-products.html. The full source code is long we will only show the <body>. here. Please go through the source code to get an impression of its structure:

<body> 
  <h1>New Products</h1> 
  <p>The following is a list of products</p> 
  <div id="list" class="product-list"> 
    <ul> 
      <li> 
        <span class="name">Product-A</span> 
        <span class="price">$199.95<...
lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Learning R Programming
Published in: Oct 2016Publisher: PacktISBN-13: 9781785889776

Author (1)

author image
Kun Ren

Kun Ren has used R for nearly 4 years in quantitative trading, along with C++ and C#, and he has worked very intensively (more than 8-10 hours every day) on useful R packages that the community does not offer yet. He contributes to packages developed by other authors and reports issues to make things work better. He is also a frequent speaker at R conferences in China and has given multiple talks. Kun also has a great social media presence. Additionally, he has substantially contributed to various projects, which is evident from his GitHub account: https://github.com/renkun-ken https://cn.linkedin.com/in/kun-ren-76027530 http://renkun.me/ http://renkun.me/formattable/ http://renkun.me/pipeR/ http://renkun.me/rlist/
Read more about Kun Ren