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AI Features

Feature #1: Traversing DOM Tree

Explore the process of traversing an HTML DOM tree level by level using a breadth-first search approach. Learn how to represent the DOM as an n-ary tree and use a queue to traverse all nodes, capturing each level's content separately for further analysis. Understand the implementation details and complexity involved in this traversal method to prepare for coding interview problems related to tree and graph traversal.

Description

First, we need to figure out a way to traverse the DOM structure that we obtain from a single web page. The HTML can be represented in a tree structure where the children of the HTML tag become the children of a node in the tree. Each level of the tree can have any number of nodes depending upon the number of nested HTML tags. We need to traverse the nodes in the tree level by level, starting at the root node.

<body>

  <nav>

    <a>About</a>

  </nav>

  <p>Paragraph</p>

</body>
DOM Tree
DOM Tree

We’ll be provided with a root node of an n-ary tree. The root node in our case will be the body tag. This root node will have the complete web page nested within its children. We have to return the values of each levels’ nodes from left to right in separate subarrays. This way we can separately analyze their content for further data processing.

Let’s try to understand this better with an illustration:

Solution

Since we need to traverse all the nodes of each level before moving onto the next level, we can use the Breadth First Search (BFS) technique to solve this problem. We can use a queue to efficiently traverse in BFS ...