Quick test — scrape any page to clean markdown
------|----------|------------|-------------------|
| JavaScript rendering | ✅ Full browser | ✅ Full browser | ✅ Cloud browser |
| Speed | Slow (2-5s/page) | Fast (1-3s/page) | Fastest (~500ms) |
| RAM per instance | 200-500MB | 150-400MB | 0 (cloud) |
| Anti-bot handling | ❌ Easily detected | ⚠️ Better, still detectable | ✅ Managed for you |
| AI data extraction | ❌ Manual selectors | ❌ Manual selectors | ✅ Built-in AI extraction |
| Infrastructure | Your servers | Your servers | Managed cloud |
| Concurrent scraping | Limited by RAM | Limited by RAM | Unlimited |
| Setup time | 30+ minutes | 15+ minutes | 2 minutes |
The Modern Alternative: API-Based Scraping
Instead of managing browsers locally, you can offload rendering and extraction to a specialized API. Here's the same product scraping task using the WebPerception API:
import requests
response = requests.post(
"https://api.mantisapi.com/extract",
headers={"x-api-key": "your-api-key"},
json={
"url": "https://example.com/products",
"prompt": "Extract all product names and prices",
"schema": {
"products": [{"name": "string", "price": "string"}]
}
}
)
products = response.json()["data"]["products"]
for product in products:
print(f"{product['name']}: {product['price']}")What just happened:
- No browser to install or manage
- No CSS selectors to write or maintain
- AI understands the page structure and extracts what you asked for
- Anti-bot detection handled in the cloud
- Response in ~500ms instead of 3-5 seconds
When You Still Need Selenium
Selenium isn't dead. It's still the right tool when you need:
- Browser testing: Selenium's original purpose — testing your own web app
- Complex interactions: Multi-step flows with login, form filling, and navigation across authenticated sessions
- Full browser control: When you need cookies, localStorage, or specific browser behaviors
When You Should Use an API Instead
Switch to API-based scraping when:
- Scale matters: You're scraping hundreds or thousands of pages
- Speed matters: You need data fast, not 3 seconds per page
- Reliability matters: You can't afford scrapers breaking when HTML changes
- You need structured data: AI extraction beats CSS selectors for most use cases
- You're building agents: AI agents need tools with simple interfaces — a REST API, not a browser driver
Getting Started with WebPerception API
The WebPerception API gives you three core capabilities:
/scrape — Get clean markdown from any URL (replaces Selenium + BeautifulSoup)
/extract — AI-powered structured data extraction (replaces Selenium + custom parsing)
/screenshot — Visual capture of any page (replaces Selenium screenshots)
Free tier: 100 API calls/month — enough to test and prototype.
# Quick test — scrape any page to clean markdown
curl -X POST https://api.mantisapi.com/scrape \
-H "x-api-key: YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"url": "https://example.com"}'Conclusion
Selenium served web scraping well for over a decade. But in 2026, running local browsers for data extraction is like running your own email server — technically possible, but there are better ways.
For production scraping at scale, especially when building AI agents, API-based solutions like WebPerception give you speed, reliability, and AI-powered extraction without the infrastructure headache.
Start with Selenium if you're learning. Switch to an API when you're building for production.
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Building an AI agent that needs web data? Try WebPerception API free — 100 calls/month, no credit card required.