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htmlparser2@6.1.0 vs DOMParser
(version: 0)
Comparing performance of:
htmlparser2 vs DOMParser
Created:
3 years ago
by:
Registered User
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HTML Preparation code:
<script type="text/javascript" src="https://tosmolkadev.blob.core.windows.net/public/htmlparser2-6.1.0.js"></script>
Script Preparation code:
window.testCase = 'test <a href="https://microsoft.com">link</a>';
Tests:
htmlparser2
const result = htmlparser2.DomUtils.getOuterHTML(htmlparser2.parseDOM(testCase));
DOMParser
const result = ((new DOMParser()).parseFromString(testCase, "text/html")).body.innerHTML;
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
htmlparser2
DOMParser
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
10 months ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/137.0.0.0 Safari/537.36
Browser/OS:
Chrome 137 on Windows
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Test name
Executions per second
htmlparser2
0.0 Ops/sec
DOMParser
132472.2 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark definition and test cases. **Benchmark Definition** The benchmark is comparing two JavaScript libraries: `htmlparser2` (version 6.1.0) and `DOMParser`. The purpose of this benchmark is to measure which library performs better in parsing HTML strings. **Script Preparation Code** The script preparation code sets up the test environment by creating a variable `testCase` that contains an HTML string with a link: `<a href="https://microsoft.com">link</a>`. **Html Preparation Code** The HTML preparation code includes a script tag that loads the `htmlparser2-6.1.0.js` file, which is a version of the `htmlparser2` library being tested. **Individual Test Cases** There are two test cases: ### Test Case 1: htmlparser2 This test case uses the `htmlparser2` library to parse the HTML string and extract the outer HTML using the `DomUtils.getOuterHTML()` method. ### Test Case 2: DOMParser This test case uses the `DOMParser` API to parse the HTML string and extract the inner HTML using the `parseFromString()` method. The `parseFromString()` method takes two arguments: the HTML string as a parameter, and a MIME type (`"text/html"` in this case). **Pros and Cons of Different Approaches** Here's a brief overview of the pros and cons of each approach: 1. **htmlparser2**: Advantages: * Might be more lightweight and efficient for parsing HTML. * Allows for customization through methods like `DomUtils.getOuterHTML()`. Disadvantages: * Might not handle edge cases as well as `DOMParser` can. 2. **DOMParser**: Advantages: * Well-supported by most modern browsers, making it a safe choice for cross-browser compatibility. * Handles edge cases and provides robust parsing capabilities. Disadvantages: * Can be heavier due to its built-in DOM creation. * Limited control over the parsing process. **Library: htmlparser2** `htmlparser2` is a lightweight JavaScript library designed for parsing HTML strings. It's not part of the standard DOM API and requires loading a separate script file (`htmlparser2-6.1.0.js`). The library provides methods like `DomUtils.getOuterHTML()` that can be used to extract specific parts of an HTML document. **Special JS Feature: Async/Await** The test cases use async/await syntax, which is a modern JavaScript feature that allows for cleaner and more readable asynchronous code. This feature was introduced in ECMAScript 2017 (ES2017) and has since become widely adopted. **Other Alternatives** If you're interested in exploring alternative parsing libraries or APIs, here are a few options: 1. `jsdom`: A popular library that provides a virtual DOM implementation, allowing for easy parsing and manipulation of HTML documents. 2. `cheerio`: A fast and lightweight HTML parser that's similar to `htmlparser2` but with more features and a larger community. 3. `XMLHttpRequest`: An older API that allows for asynchronous loading of HTML documents from a server. These alternatives might offer different trade-offs in terms of performance, compatibility, or feature set, so it's essential to evaluate each option based on your specific use case and requirements.
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