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# browser-automation-guide |
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# Web Automation Engineering: A Technical Framework for Browser Orchestration |
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Web Automation Engineering: A Technical Framework for Browser Orchestration |
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## Abstract |
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Browser automation has evolved from simple scripting to sophisticated orchestration frameworks. This paper examines modern approaches to web automation engineering, focusing on deterministic recipe-based execution, vision-augmented fallback systems, and scalable multi-platform deployment. |
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## 1. Introduction |
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The landscape of web automation has shifted dramatically. Modern frameworks like Playwright, Puppeteer, and browser-use provide unprecedented control over browser instances. This work presents a production-grade architecture that combines deterministic recipes with AI-powered autonomous agents. |
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## 2. Architecture Overview |
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A robust automation system requires multiple layers: |
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- **Orchestration Layer**: CLI-driven runner that dispatches to appropriate execution engines |
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- **Recipe Engine**: JSON-defined step sequences for known platforms (zero LLM cost) |
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- **Agent Layer**: Autonomous browser agents using Claude Sonnet for unknown sites |
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- **Vision Fallback**: Screenshot-based element detection when DOM selectors fail |
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- **Validation**: Post-action screenshot verification with success criteria |
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## 3. Recipe-Based Execution |
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Deterministic recipes encode platform-specific workflows as JSON. This approach eliminates LLM costs for known platforms while maintaining reliability through explicit selector chains. |
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## 4. Proxy and Session Management |
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Residential proxy rotation with sticky sessions ensures consistent IP addresses across multi-step flows. Port-based hashing maps domains to specific proxy endpoints, maintaining session affinity without external state. |
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## 5. Verification Framework |
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Published content must meet strict criteria including HTTP 200 response, no redirects to login pages, proper title tags, no noindex directives, matching H1 headings, and unique domain counting. |
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## 6. Conclusion |
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Browser automation engineering requires balancing determinism with adaptability. Recipe-first approaches minimize cost and maximize reliability, while AI agents handle the long tail of unknown platforms. |
