# ScrapingBee publishes tutorial on self-reviewing LLM code generation loops for web extraction

> ScrapingBee published a blog post walking through the implementation of a self-reviewing code generation loop where an LLM writes extraction code, runs it against real HTML, checks the output, and revises the code on failure.

- Canonical: https://extractfeed.io/story/scrapingbee-publishes-tutorial-on-self-reviewing-llm-code-ge-a7c87ad/
- JSON: https://extractfeed.io/api/v1/stories/scrapingbee-publishes-tutorial-on-self-reviewing-llm-code-ge-a7c87ad.json
- Beat: Extraction & Parsing · Evidence: Primary source · Type/significance: analysis/2 · First seen: 2026-10-06T01:51:20.932782+00:00 · Updated: 2026-10-06T01:51:20.932782+00:00 · Edition: 2026-11-05
- Framing: model-written (headline, standfirst, why it matters, tags); source facts deterministic

## Briefing
- ScrapingBee: ScrapingBee published a blog post walking through the implementation of a self-reviewing code generation loop where an LLM writes extraction code, runs it against real HTML, checks the output, and revises the code on failure.

## Why it matters
This tutorial addresses a practical challenge in using LLMs for web scraping: ensuring generated extraction code actually works. By automating the verification and revision cycle, it points toward more reliable, self-correcting extraction pipelines that reduce manual debugging, which is a key concern for developers building AI-driven scrapers.

## Sources
- Primary source · ScrapingBee · 2026-10-03 — [Building Self-Reviewing Code Generation Loops for Web Extraction](https://www.scrapingbee.com/blog/implementing-self-reviewing-code-generation-loops-for-web-extraction/)

## Watch next
Will self-reviewing loops become a standard pattern in LLM-based extraction tooling, or will they remain a niche technique for complex selectors?

Topics: ScrapingBee, llm, code-generation, web-scraping, tutorial, self-reviewing-loop

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