Octoparse is a visual point-and-click scraper. WebPerception is an API that gives AI agents eyes. Totally different tools — here's which one you need.
| Feature | WebPerception API | Octoparse |
|---|---|---|
| Interface | REST API (code-first) | Desktop app (point-and-click) |
| AI Data Extraction | ✅ Schema-based, any page | ❌ Manual rule definition |
| Programmatic Access | ✅ Native (it's an API) | ⚠️ Limited API available |
| AI Agent Integration | ✅ LangChain, CrewAI, AutoGen | ❌ Not designed for agents |
| JavaScript Rendering | ✅ Full browser | ✅ Built-in browser |
| No-Code Friendly | ❌ Requires coding | ✅ Visual workflow builder |
| Output Format | JSON (structured) | CSV, Excel, JSON, database |
| Real-Time Extraction | ✅ Sub-second API calls | ❌ Batch/scheduled tasks |
| Free Tier | 100 calls/month | 14-day trial |
| Starting Price | $29/mo | $89/mo (Standard) |
# WebPerception: Extract data from any page in 3 lines
import requests
response = requests.post("https://api.mantisapi.com/extract", json={
"url": "https://example.com/product",
"schema": {
"title": "string",
"price": "number",
"reviews": "number",
"in_stock": "boolean"
}
})
product = response.json()["data"]
print(f"{product['title']}: ${product['price']}")
# With Octoparse:
# 1. Open desktop app
# 2. Enter URL
# 3. Click on each element to create extraction rules
# 4. Configure pagination (if needed)
# 5. Run task in cloud
# 6. Wait for completion
# 7. Export results
# 8. Parse the export file in your code
# 9. Hope the rules still work next week
These are fundamentally different tools for different users. Octoparse is a desktop application for non-technical data collection. WebPerception is a developer API for programmatic web perception.
If you're writing code — especially for AI agents — WebPerception is the obvious choice. It's faster, cheaper, more flexible, and designed from the ground up for developers who need their applications to understand web pages.