AI-First - Browserbase + Claude: headless browser + LLM - Skyvern: AI workflow for sites - Reworkd / Apify Vision: vision-based - Firecrawl: clean LLM-ready data Traditional + AI - Playwright + Claude: code + reasoning - Puppeteer + Claude: same - Scrapy + AI parsing: scale Anti-Bot Friendly - Bright Data: residential proxies - ZenRows: bypass anti-bot - ScraperAPI: similar

1. Define What You Need For each product page, extract: - Name - Price (USD or local currency) - Image URL - 1-paragraph description - In stock yes/no 2. Fetch the Page python from playwright.syncapi import syncplaywright with syncplaywright() as p: browser = p.chromium.launch() page = browser.newpage() page.goto("https://example.com/product/123") html = page.content() browser.close() 3. Ask AI to Extract python import anthropic client = anthropic.Anthropic() prompt = "Extract product name, price, image URL, in-stock from HTML. Return JSON. HTML: " + html[:50000] response = client.messages.create( model="claude-sonnet-4-6", maxtokens=1024, messages=[{"role": "user", "content": prompt}] ) 4. Validate + Store - Schema validation - Error retry - Save to DB

Use Claude Vision for sites that block scraping: python import base64 with open("screenshot.png", "rb") as f: img = base64.b64encode(f.read()).decode() response = client.messages.create( model="claude-sonnet-4-6", messages=[{"role": "user", "content": [ {"type": "image", "source": {"type": "base64", "data": img}}, {"type": "text", "text": "Extract product info."} ]}] ) Works on heavy JavaScript sites.

Computer Use for Scraping

Anthropic's Computer Use can browse, click, scroll: python

Residential Proxies Use Bright Data / Oxylabs IPs that look like real users. Browser Fingerprinting Playwright stealth, FingerprintJS spoofing. CAPTCHA - 2captcha, AntiCaptcha services - Some require human-in-loop Rate Limiting Slow down. Random delays. Multiple sessions.

OK - Public data - Respect robots.txt - Personal use - Allowed by ToS Not OK - Copyrighted content + commercial use - Personal data (GDPR/KVKK) - Bypassing paywalls - Crashing servers Gray - Pricing data (competitive intel) - Aggregated stats - Training data When in doubt: consult lawyer.

Queue: scrape requests in queue (SQS, Cloud Tasks) - Workers: parallel processing - Storage: raw HTML + parsed data - Monitoring: rate of failures - Caching: don't re-scrape unchanged

For 10K pages: - AI extraction: $5-20 - Proxy: $10-50 - Compute: $5-15 - Total: $25-100 Way cheaper than human + traditional scraping.

E-commerce price monitoring - Lead generation - News + sentiment - Job board aggregation - Real estate listings - Competitor research

How to Scrape Web with AI 2026 — Guide

How to Scrape Web with AI 2026

AI made web scraping easier in 2026. This guide covers the modern stack. Why AI for Scraping? Traditional scraping = brittle selectors. AI scraping = describe what you want, get it. Examples: - Extract product price + image + description - Find contact info on a company site - Parse business hours from any restaurant page Tools AI-First - Browserbase + Claude: headless browser + LLM - Skyvern: AI…

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