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Alternatives to opticparse

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    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      Enables Claude Desktop, Cursor AI, Windsurf, and autonomous LLM agents to scrape, crawl, map, search, and extract validated JSON from live web pages with dynamic rendering, anti-bot bypass, and Markdown conversion.
      5
      21 npm
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables any LLM agent to fetch, extract, crawl, and screenshot through conversation via 17 scraping tools over stdio or SSE, letting an agent run a full crawl end-to-end. Works with Claude Code, Claude Desktop, Cursor, Windsurf, ChatGPT, LangChain, and the OpenAI Agents SDK.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables language models to perform AI-powered web scraping, extraction, search, crawling, schema generation, and monitoring through an API integration. Supports Claude Desktop, Cursor, Smithery, and remote or local MCP transports.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables language models to perform AI-powered web scraping, extraction, search, crawling, schema generation, and scheduled monitoring through a web-scraping API. It supports integration with clients such as Claude Desktop and Cursor.
      -

    TDQS

    A3.5/5.0

    Scored across 2 tools

    Disambiguation5/5

    opticparse_scrape extracts page content for LLM/RAG use, while phishvision_detect audits URLs for security threats. Their purposes, outputs, and trigger conditions are clearly distinct, so an agent should not confuse them.

    Naming Consistency2/5

    Both names follow a product_verb pattern and use snake_case, but the product prefix changes from opticparse to phishvision. This breaks the expected consistency for a server named opticparse and makes the second tool feel unrelated.

    Tool Count3/5

    Two tools is on the thin side for a server that claims to cover web scraping and phishing detection. Each tool serves a distinct high-level purpose, but the overall surface feels minimal rather than well-rounded.

    Completeness3/5

    The two tools cover the core stated capabilities: extracting structured page data and detecting phishing URLs. However, there are notable gaps such as no batch processing, no non-URL input support, and no way to refine or iterate on extraction results.

    Maintenance

    ActivityActive
    ResponsivenessNo issues