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FetchFox can speed up repeated extractions with a boost system.

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How it works

For the first few extractions of a given page pattern and template, FetchFox extracts data by passing the page HTML to an AI model. After it has collected a few successful examples, the backend asks a more advanced AI model to write extraction code for that pattern and template. The backend evaluates that generated code before reusing it. Once the code has been written and accepted, later extractions can run using the generated code instead of calling an AI model for each page.

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What this means in practice

  • The first few extractions are usually slower and include AI cost.
  • Later extractions can run much faster.
  • After boost code is in place, later runs typically have no AI cost for the extraction step.
You do not need to enable anything manually. The system learns from successful extractions automatically.