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Yukendiran Jayachandiran
Yukendiran Jayachandiran

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How I Built an AI Web Scraper That Understands Plain English

#webscraping #ai #python #saas

The Problem Every Developer Knows

If you've ever built a web scraper, you know the drill:

  1. Inspect the page
  2. Find the right CSS selectors
  3. Write brittle code that breaks when the site changes
  4. Repeat forever

I spent years doing this. Every time a website updated its layout, my scrapers would break. I'd spend hours fixing selectors just to have them break again next week.

There had to be a better way.

The "Aha" Moment

What if instead of telling a scraper where data is on a page, you could tell it what you want?

Instead of:

price = soup.select_one('.product-price .sale-value span')
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What if you could just say:

"Get me the product name, price, and customer rating"
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That's exactly what I built.

Introducing LucidExtractor

LucidExtractor is an AI-powered web scraping API that understands natural language. You describe the data you want in plain English, and it returns clean, structured JSON.

How It Works

  1. Send a URL + description - Tell the API what data you want
  2. AI analyzes the page - LLMs understand the page structure
  3. Get structured data - Clean JSON/CSV output, every time

Example API Call 

import requests

response = requests.post("https://lucidextractor.liceron.in/api/scrape", json={
    "url": "https://example-store.com/product/123",
    "prompt": "Extract product name, price, rating, and availability"
})

data = response.json()
# {
#   "product_name": "Wireless Headphones Pro",
#   "price": "$79.99",
#   "rating": "4.5/5",
#   "availability": "In Stock"
# }
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No CSS selectors. No XPath. No breaking when layouts change.

Key Features

  • Natural Language Input - Describe data in plain English
  • Anti-Bot Bypass - Handles Cloudflare, CAPTCHAs, and other protections automatically
  • Dynamic JS Sites - Full browser rendering for JavaScript-heavy pages
  • 130+ API Endpoints - Specialized endpoints for different scraping needs
  • Bulk Processing - Process hundreds of URLs in parallel
  • Proxy Rotation - Built-in rotating proxies and browser fingerprinting
  • Multiple Formats - JSON, CSV, and structured data output

The Tech Stack

  • Backend: FastAPI + Python
  • AI/LLM: Multiple model support for understanding page structure
  • Browser Engine: Playwright for dynamic rendering
  • Frontend: React + Vite + Tailwind CSS
  • Infrastructure: Google Cloud Run, Firebase

Why This Approach Works

Traditional scrapers are fragile because they rely on the DOM structure. Change a div class name? Scraper breaks.

LucidExtractor is resilient because it understands what data looks like, not where it is. A price is a price whether it's in a <span class="price"> or a <div data-value="cost">.

Who Is This For?

  • Data analysts who need web data without coding expertise
  • Developers tired of maintaining brittle scrapers
  • Researchers collecting data from multiple sources
  • Businesses needing competitive intelligence or market data
  • Marketers tracking competitor pricing and content

Try It Free

LucidExtractor starts at $29/month with 10,000 credits. Early adopters get bonus credits when signing up.

Try it here: lucidextractor.liceron.in

I'd love to hear your feedback. What's your biggest web scraping pain point? Drop a comment below!

Follow me for more updates on building AI-powered developer tools.

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