How to reduce LLM token costs when processing web content for AI applications

How to reduce LLM token costs when processing web content for AI applications

This task can be performed using Deepcrawl

Turn any website into AI-ready data—completely free, open-source.

Best product for this task

Deepcr

Deepcrawl is an open-source agentic crawling toolkit that converts websites into AI-ready data with edge-native performance and typed SDKs. It reduces LLM token usage, offers transparent REST and oRPC APIs, and includes a Next.js dashboard for monitoring, playground usage, and key management.

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What to expect from an ideal product

  1. Crawls and extracts only the essential content from web pages, eliminating HTML markup, ads, and navigation elements that waste tokens
  2. Converts messy website data into clean, structured formats that feed directly into language models without extra preprocessing steps
  3. Uses smart filtering to grab just the text and data you actually need, skipping redundant or low-value content that inflates costs
  4. Processes websites in bulk and caches the cleaned data, so you don't have to re-crawl and re-process the same content multiple times
  5. Provides a dashboard to monitor exactly how much content you're extracting and processing, helping you spot and eliminate token waste

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