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webscraping-ai

WebScraping-AI MCP Server

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    TDQS

    A3.7/5.0

    Scored across 9 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes: html/text/selected return page content, serp searches, data handles known provider pages, and account handles billing status. The AI tools (question, fields, text) and the selector tools (selected vs selected_multiple) overlap somewhat, but the descriptions explicitly cross-reference each other and clarify when to use which.

    Naming Consistency4/5

    All tools share a predictable webscraping_ai_ prefix and use a consistent noun/adjective style (question, fields, html, text, selected, serp, data, account). There is no verb_noun pattern, and selected vs selected_multiple is a minor deviation, but the set is highly consistent overall.

    Tool Count5/5

    Nine tools is well-scoped for a web scraping API client, covering retrieval, AI extraction, structured data, search, and account status without redundancy. Each tool maps to a distinct endpoint or capability.

    Completeness4/5

    The surface covers the core scraping lifecycle: raw HTML, rendered text, CSS selection, AI question/field extraction, SERP search, provider-specific structured data, and account status. Minor gaps exist, such as screenshot or other advanced scraping options, but agents can accomplish most scraping tasks with this set.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues