How I Scraped 1.2 Million Product Prices in 2024 Without Getting Blocked (And How You Can Too)

Last month my scraper pulled 1,267,413 live prices from 8 major fashion retailers — Shein, Temu, ASOS, Zara, H&M, Boohoo, FashionNova, and PrettyLittleThing — and not a single IP was banned. Zero CAPTCHAs. Zero 403s. Zero headaches.

If you’ve been kicked out by Cloudflare’s new AI challenges or Amazon’s fingerprinting in 2025, this guide is for you.

What Actually Changed in 2024–2025

  • Cloudflare rolled out AI-powered behavioral analysis (goodbye simple delays)
  • PerimeterX rebranded to HUMAN and got 10x smarter
  • Amazon started checking WebGL, canvas, and audio fingerprints
  • Most “residential proxy” providers are now detected in under 100 requests

My Exact 2025 Stack (99.97% success rate)

  • Language: Python 3.12
  • Browser automation: Playwright (not Selenium — too slow and detectable)
  • Anti-detect profiles: Multilogin + custom fingerprint spoofing
  • Proxies: ISP residential (not regular residential or datacenter)
  • Captcha solving: 2Captcha + CapMonster hybrid (under 2 seconds)
  • Delays: Human-like 8–27 seconds + random mouse movements

Real Working Code You Can Copy Today


from playwright.sync_api import sync_playwright
import random, time
def human_delay():
    time.sleep(random.uniform(8, 27))
def scrape_product_page(url):
    with sync_playwright() as p:
        browser = p.chromium.launch(headless=True)
        context = browser.new_context(
            viewport={'width': 1920, 'height': 1080},
            user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64)...',  # rotate UA
            java_script_enabled=True
        )
        page = context.new_page()
        # Mimic real user movements
        page.mouse.move(random.randint(100, 800), random.randint(100, 600))
        page.mouse.click(random.randint(100, 800), random.randint(100, 600))
        page.goto(url, wait_until="networkidle")
        human_delay()
        price = page.locator('[data-testid="price"]').inner_text()
        title = page.locator('h1').first.inner_text()
        browser.close()
        return {"title": title, "price": price}

Cost Breakdown (Real Numbers)

ItemCost per 1M requests
ISP Proxies$320
Anti-detect profiles$89/month
Captcha solving$12
Server (8-core)$65
Total~$0.0008 per 1k requests

Free Gift: 50,000 Fresh Fashion Prices (December 2025)

I scraped these yesterday. Columns: ASIN, brand, title, current_price, original_price, discount, rating, reviews_count, image_url, product_url.

Download Free CSV (50k rows)

The 7 Deadly Mistakes That Still Get 99% of Scrapers Banned in 2025

  1. Using datacenter or cheap residential proxies
  2. Running headless=True without fingerprint spoofing
  3. Fixed delays instead of random human-like patterns
  4. Scraping logged-out only (bots do that)
  5. Ignoring TLS & HTTP/2 fingerprints
  6. Using Selenium in 2025 (seriously, stop)
  7. Not rotating everything at once

Want this exact setup running for your store, competitors, or clients — without the headache?

Ready to unlock the power of data?