jsdomvsgazpacho
jsdom is a pure JavaScript implementation of web standards, notably the WHATWG DOM and HTML standards, for use with Node.js. It simulates a browser environment in Node.js, allowing you to parse HTML, manipulate the DOM, and interact with web pages using the same APIs available in web browsers.
Key features for web scraping:
- Full DOM implementation Provides document.querySelector, document.querySelectorAll, and other standard DOM methods for traversing and manipulating parsed HTML.
- Browser-like environment Simulates window, document, navigator, and other browser globals, enabling code that was written for browsers to run in Node.js.
- JavaScript execution Can execute JavaScript embedded in HTML pages, including external scripts, making it possible to process pages that generate content dynamically (though much slower than a real browser).
- Standards-compliant parsing Uses the same HTML parsing algorithm as web browsers (the WHATWG HTML specification), ensuring accurate handling of malformed HTML.
- Cookie support Implements the tough-cookie library for cookie handling across requests.
For web scraping, jsdom is useful when you need more than simple CSS selector matching (what cheerio provides) but don't need a full browser. It's ideal for parsing complex HTML and running simple inline scripts without the overhead of Playwright or Puppeteer. However, for heavy JavaScript-rendered pages, a real browser automation tool is recommended.
gazpacho is a Python library for scraping web pages. It is designed to make it easy to extract information from a web page by providing a simple and intuitive API for working with the page's structure.
gazpacho uses the requests library to download the page and the lxml library to parse the HTML or XML code. It provides a way to search for elements in the page using CSS selectors, similar to BeautifulSoup.
To use gazpacho, you first need to install it via pip by running pip install gazpacho. Once it is installed, you can use the gazpacho.get() function to download a web page and create a gazpacho object. For example: ``` from gazpacho import get, Soup
url = "https://en.wikipedia.org/wiki/Web_scraping" html = get(url) soup = Soup(html) print(soup.find('title').text) ``` You can also use gazpacho.get() with file-like objects, bytes or file paths.
Once you have a gazpacho object, you can use the find() and find_all() methods to search for elements in the page using CSS selectors, similar to BeautifulSoup.
gazpacho also supports searching using the select() method, which returns the first matching element, and the select_all() method, which returns all matching elements.
Highlights
Example Use
Product A
$10.99Product B
$24.99
</body>
`;
const dom = new JSDOM(html); const document = dom.window.document;
// Use standard DOM APIs to extract data
const products = document.querySelectorAll('.product');
products.forEach(product => {
const name = product.querySelector('h2').textContent;
const price = product.querySelector('.price').textContent;
console.log(${name}: ${price});
});
// Fetch and parse a remote page JSDOM.fromURL('https://example.com').then(dom => { const title = dom.window.document.title; console.log('Page title:', title); }); ```
```python from gazpacho import get, Soup
gazpacho can retrieve web pages
url = "https://webscraping.fyi/" html = get(url)
and parse them:
soup = Soup(html) print(soup.find('title').text)
search for elements like beautifulsoup:
body = soup.find("div", {"class":"item"}) print(body.text) ```