Building Python Automated Crawlers for Price Monitoring & Competitor Intelligence

Competitive Intelligence via Python Crawlers

Using python for automated catalog inspection allows merchants to dynamically adjust pricing rules based on competitor stock levels and promotional campaigns.

Building a Resilient Scraping Engine with Playwright

Below is a production Python script using Playwright to extract price and availability data from target storefronts:

# price_monitor.py
from playwright.sync_api import sync_playwright
import json

def scrape_product(url):
    with sync_playwright() as p:
        browser = p.chromium.launch(headless=True)
        page = browser.new_page()
        page.goto(url, wait_until="domcontentloaded")
        
        title = page.locator("h1").inner_text()
        price = page.locator(".price").inner_text()
        
        browser.close()
        return {"title": title, "price": price}

if __name__ == "__main__":
    data = scrape_product("https://example.com/product-slug")
    print(json.dumps(data, indent=2))

Evading Rate Limits with Proxy Rotation

Rotate IP proxies and headers to prevent 429 rate limits when executing batch extraction scripts across thousands of SKUs.

Summary & Consulting CTA

Need custom automation or analytics engines? Reach out to Kenneth D'Silva at MODRACX today.

Written by Kenneth D’Silva – Magento & Shopify specialist, MODRACX