Modular Architecture Solves Data Acquisition Challenges
Suna guarantees multi-platform compatibility through the following design:
- browser adaptation layer::
Using the Chromium kernel to automate the processing of different websites:
- Dynamic loading of content (XHR/WebSocket)
- JavaScript Rendering Differences
- Anti-crawler mechanism circumvention - Unified Data Interface::
1. Standardized output formats (forced conversion CSV/JSON/XML)
2. Built-in field mapping tools to handle heterogeneous data
3. Provide XPath/CSS Selector Debugger - Error recovery mechanism::
- Automatically retry failed API calls
- Automatic page load timeout
- Supports breakpoint mining
Hands-on advice::
For complex scenarios, you can:
1. Collect sample data using the "trial run" mode first.
2. Debugging data parsing logic from the command line
3. Creating validation rules to ensure data quality
This answer comes from the articleSuna (Kortix AI): Intelligent Agents Integrating Browser Operations and Data AnalyticsThe
May not be reproduced without permission:AI productivity tools " How to solve the compatibility problem of cross-platform data collection and automate the process?
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