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Developer cuts Claude web research costs 18x with new tool

A developer has created a tool called Webify that significantly reduces the token usage for Claude's web research capabilities. Webify parses HTML into a DOM graph, identifies relevant sections using BM25 and BFS traversal, and returns only those parts to Claude, instead of the entire webpage. This method drastically cuts down token consumption, from thousands to typically 80-300 tokens per query, while maintaining high accuracy in benchmarks. The open-source tool is designed for easy installation and integration with various coding environments that support MCP. AI

IMPACT Reduces operational costs for AI applications that perform web research, potentially increasing adoption and efficiency.

RANK_REASON This is a user-developed tool that improves the efficiency of an existing AI model's functionality.

Read on r/ClaudeAI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer cuts Claude web research costs 18x with new tool

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This is a user-developed tool that improves the efficiency of an existing AI model's functionality.
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product, infra
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52 days old
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COVERAGE [1]

  1. r/ClaudeAI TIER_2 English(EN) · /u/intellinker ·

    I made Claude's web research 18× cheaper with 2 lines of setup

    <!-- SC_OFF --><div class="md"><p>I've been using Claude Code daily, and one thing kept bothering me.</p> <p>Whenever Claude calls <strong>WebFetch</strong>, it often dumps <strong>3,000–15,000 tokens</strong> from an entire web page into the context window, even if the answer is…