Coding alone is isolating. I built an AI to fix developer burnout.

lu even — Mon, 30 Mar 2026 08:48:03 +0000

Building SaaS products and debugging at 2 AM can be incredibly isolating. The constant context switching and imposter syndrome hit hard, and it's easy to burn out.

I couldn't find a tool that just "listened" without judgment when I was overwhelmed. That's why I built Deep Soul Lab.

It's a minimalist AI sanctuary designed to help makers and developers vent, track emotional wellness, and find peace of mind after a long day of coding.

How do you guys manage your mental health and avoid burnout? Would love to hear your routines!

Traditional Web Scraping is Dead in 2026. Here's Why.

lu even — Mon, 30 Mar 2026 08:45:57 +0000

I've spent years maintaining broken XPath scripts. Every time a website changed its layout, my scrapers broke.
That's why I built AI Scraper Pro. It uses AI vision models to extract structured JSON data dynamically. No more CSS selectors, no more maintenance nightmares.
Let me know if you guys are facing the same scraping issues!

I got tired of fixing broken CSS selectors, so I bypassed the DOM entirely using AI

lu even — Wed, 18 Mar 2026 09:00:33 +0000

If you've ever built a web scraper, you know the honeymoon phase doesn't last long.

Writing the initial script with Beautiful Soup, Cheerio, or Puppeteer is fun. But then, a few weeks later, the target website pushes a minor UI update. Suddenly, your script breaks because they randomized their Tailwind utility classes, nested a <div> one level deeper, or changed a .price-tag to .price-container.

You open your IDE, inspect the new DOM, update your XPath or CSS selectors, and push the fix. Rinse and repeat.

Web scraping isn't hard. Maintaining scrapers is a nightmare.

The "Aha!" Moment

I was managing a pipeline that scraped e-commerce data and directories. I realized I was spending 80% of my time maintaining brittle selectors rather than building new features.

I asked myself: Why are we still traversing the DOM in 2026 when LLMs can understand the context of a page?

What if, instead of telling the script where to look (via XPath), we just tell it what we want?

Building a Selector-Free Approach

Instead of writing this:

title = soup.find('h1', class_='product-title-text-lg').text
price = soup.find('span', {'data-testid': 'price-val'}).text

I wanted an architecture where I just define a JSON schema of my desired output, pass the raw HTML (or URL) to an AI engine, and let it figure out the mapping.

Like this:

{
  "product_name": "string",
  "price": "number",
  "in_stock": "boolean"
}

Enter AI Scraper Pro

To solve my own headache, I built AI Scraper Pro.

It acts as a wrapper that completely bypasses the need for traditional selectors. You give it a URL and your target JSON structure. Under the hood, the AI parses the raw layout, identifies the relevant data fields regardless of the messy underlying DOM, and returns perfectly structured JSON.

If the target website completely redesigns its frontend tomorrow but keeps the actual data on the page, the scraper won't break.

The Trade-offs (Let's be real)

As developers, we know there are no silver bullets. Here is the honest truth about this approach:

Pros:

Zero Maintenance: No more updating broken CSS classes.
Fast Setup: You can spin up a new scraper in minutes just by writing a JSON schema.
Handles Messy HTML: It works incredibly well on legacy sites with horrific, deeply nested table layouts.

Cons:

Speed/Latency: AI extraction is slower than a pure Python lxml parser. If you need to scrape 10,000 pages per second, this isn't for you.
Cost: Running LLM inference per page is more expensive than running a local Beautiful Soup script.

I need your brutal feedback

I just launched the early MVP, and I want to know if I'm crazy or if this actually solves a problem for you too.

If you deal with data extraction, I'd love for you to try AI Scraper Pro and try to break it.

What edge cases (like heavily obfuscated SPAs) do you think will defeat this?
Would you trade execution speed for zero maintenance?

Let me know in the comments. Roast my MVP!

DEV Community: lu even