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Robert Solovev edited this page Dec 14, 2024 · 1 revision

Step 1: Define the Scope and Requirements

  1. Clarify Goals:

    • Parse HTML into a structured representation (like a tree or graph).
    • Capture HTML tags, their attributes, and their content (text or child elements).
    • Allow navigation and extraction of elements, attributes, or content.
  2. Determine Extensibility Needs:

    • Should it support HTML5-specific quirks and malformed HTML?
    • Should it handle nested structures like <div><p>Text</p></div>?
    • Should it be tolerant of invalid or missing tags?
  3. Output Requirements:

    • Decide the data structure (e.g., a tree with nodes representing elements).
    • Define an API for navigation and queries.

Step 2: Choose or Design a Parsing Strategy

  1. Parsing Mode:

    • Top-Down Recursive Descent Parsing: Useful for simplicity and clarity.
    • Lexer + Parser Combo: Use a tokenizer to break the input into tokens, then parse the tokens into a tree.
    • Stream-Based Parsing: If you need to process large HTML documents efficiently.
  2. Tokenizer Logic:

    • Split the HTML into meaningful tokens (e.g., tags, attributes, content).
    • Handle special cases such as:
      • Self-closing tags (<img />).
      • Comment tags (<!-- Comment -->).
      • Void elements (<br>, <meta>, etc.).
  3. Error Handling:

    • Decide how to handle malformed HTML (e.g., unclosed tags, incorrect nesting).
    • You can choose to tolerate these errors or strictly validate the input.

Step 3: Data Structure Design

  1. Tree Representation:

    • Each node represents an HTML element.
    • Each node stores:
      • Tag name (e.g., div, p).
      • Attributes (as key-value pairs, e.g., class="foo").
      • Child nodes (for nested elements).
      • Inner text (for leaf nodes or mixed content).

    Example (Go Pseudo-Struct):

    type Node struct {
        Tag       string
        Attributes map[string]string
        Children  []*Node
        Text      string
    }
  2. Navigation Features:

    • Provide methods to traverse:
      • Depth-first (DOM-style tree traversal).
      • Breadth-first or custom filtering (e.g., find by tag, attribute, or value).

Step 4: Build a Parsing Pipeline

  1. Lexical Analysis:

    • Tokenize the HTML document into:
      • Start tags (<div>), end tags (</div>), attributes (key="value"), and text.
  2. Syntactic Parsing:

    • Construct the tree structure by:
      • Starting new nodes when encountering a start tag.
      • Closing nodes when encountering end tags.
      • Adding text content to the current node.
  3. Error Recovery:

    • Handle situations like missing end tags or stray characters gracefully.

Step 5: API Design for Interaction

  1. Navigation:

    • Traverse the tree with methods like GetElementByTag("tag"), GetElementByID("id"), etc.
    • Support advanced queries (e.g., CSS selector-like matching).
  2. Manipulation:

    • Allow updating attributes or text content in the tree.
    • Provide a way to serialize the tree back into valid HTML.
  3. Extraction:

    • Enable easy extraction of:
      • Specific tags (e.g., all <a> tags with href attributes).
      • Attribute values (e.g., src of <img> tags).
      • Enclosed text.

Step 6: Consider Performance and Extensibility

  1. Performance Optimization:

    • Optimize the tokenizer for speed (e.g., regex vs. manual parsing).
    • Efficient tree traversal (cache lookups or indexes for frequently queried nodes).
  2. Extensibility:

    • Allow adding custom handlers for specific tags or attributes.
    • Make it modular to handle future needs (e.g., extending for XML or XHTML).

Step 7: Testing and Validation

  1. Test Cases:

    • Validate with simple HTML, deeply nested HTML, malformed HTML, and large documents.
    • Include edge cases like self-closing tags, void elements, and attributes without values.
  2. Real-World Scenarios:

    • Parse and navigate HTML from popular websites or real-world examples to ensure robustness.

Step 8: Iterate and Improve

  1. Start simple (e.g., parse basic valid HTML).
  2. Add features incrementally (e.g., handle quirks, complex selectors).
  3. Optimize performance and memory usage once core functionality is solid.