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リンククリック自動化

  • A Python framework that turns large language models into autonomous web browsing agents for search, navigation, and extraction.
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    What is AutoBrowse?
    AutoBrowse is a developer library enabling LLM-driven web automation. By leveraging large language models, it plans and executes browser actions—searching, navigating, interacting, and extracting information from web pages. Using a planner-executor pattern, it breaks down high-level tasks into step-by-step actions, handling JavaScript rendering, form inputs, link traversal, and content parsing. It outputs structured data or summaries, making it ideal for research, data collection, automated testing, and competitive intelligence workflows.
    AutoBrowse Core Features
    • LLM-driven web search and navigation
    • Automated link clicking and form filling
    • JavaScript rendering and dynamic content handling
    • Content parsing and data extraction
    • Summarization of web page contents
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