Why XPath Still Beats Modern Selectors for Complex Scrapers

I had a client last year—a massive enterprise equipment supplier—who was stuck in a nightmare. They needed to sync inventory from a legacy vendor portal that hadn’t been updated since 2004. No API, no JSON endpoints, just a soup of nested tables, inline styles, and zero IDs or classes. My junior developer spent three days trying to “modernize” the solution with querySelectorAll and complex nth-child selectors. Every time the vendor added a spacer GIF, the whole sync broke. It was a total mess.

My first instinct? I’ll admit it—I thought about writing a custom regex parser for the HTML string. Trust me on this: that’s a path to madness. Regex isn’t built for parsing non-regular languages like HTML, and I almost wasted a weekend proving it to myself. Then I remembered a trick from the modern browser stack that most younger devs have completely forgotten: XPath DOM querying.

The Precision of XPath DOM Querying

Modern frameworks like React or Vue abstract the DOM so heavily that we often forget the raw power sitting in the browser. While CSS selectors are great for styling, they’re actually pretty limited for data extraction. They can’t walk up the tree, and they certainly can’t find elements based on text content. XPath can do both without breaking a sweat. It’s a concept I saw discussed recently in a great piece over at [smashingmagazine.com] regarding older tech in the browser stack.

For that inventory project, I replaced a 50-line brittle CSS selector mess with a single XPath expression. Instead of counting table rows, I just looked for the cell containing the word “SKU” and grabbed its neighbor. Simple. Robust. Period.

/**
 * Precise data extraction using XPath
 * @param {string} bbioon_search_text
 * @return {string|null}
 */
function bbioon_fetch_legacy_data(bbioon_search_text) {
    const bbioon_xpath = `//td[contains(text(), '${bbioon_search_text}')]/following-sibling::td[1]`;
    const bbioon_result = document.evaluate(
        bbioon_xpath,
        document,
        null,
        XPathResult.STRING_TYPE,
        null
    );

    return bbioon_result.stringValue ? bbioon_result.stringValue.trim() : null;
}

// Usage: Grab the price next to the 'MSRP' label
const bbioon_price = bbioon_fetch_legacy_data('MSRP');
console.log(bbioon_price);

Here’s the kicker: XPath doesn’t care if your classes are generated by Tailwind or if your DOM structure changes slightly. It’s about the relationship between data points. In a world where we’re constantly building on the shoulders of giants, we shouldn’t ignore the “ancient” tools those giants left behind. XPath, and even the now-endangered XSLT, provide a level of XPath DOM querying precision that div > div > p just can’t match.

Why Older Tech Still Matters

The WHATWG and Chrome teams are currently debating the removal of XSLT 1.0. While XSLT is a niche interest these days, the underlying XPath engine is still vital for automated testing and complex web scraping. If you’re only using CSS selectors, you’re trying to perform surgery with a butter knife. You might get the job done eventually, but it’s going to be bloody.

  • Resiliency: XPath tests are less likely to flake when your UI framework updates.
  • Traversal: Moving from a child back to a specific parent or sibling is trivial in XPath.
  • Content-Aware: Selecting nodes by the text they contain—not just their tags—is a game-changer for legacy integration.

Look, this stuff gets complicated fast. If you’re tired of debugging someone else’s mess and just want your site to work with the systems you already have, drop my team a line. We’ve probably seen it before.

Are you still relying solely on CSS selectors for your automation, or are you ready to reach back into the toolbox for something a bit more surgical?

author avatar
Ahmad Wael
I'm a WordPress and WooCommerce developer with 15+ years of experience building custom e-commerce solutions and plugins. I specialize in PHP development, following WordPress coding standards to deliver clean, maintainable code. Currently, I'm exploring AI and e-commerce by building multi-agent systems and SaaS products that integrate technologies like Google Gemini API with WordPress platforms, approaching every project with a commitment to performance, security, and exceptional user experience.

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