Building an AI-Enhanced Web Indexer with Scrapy and ChatGPT

Building an AI-Enhanced Web Indexer with Scrapy and ChatGPT

Search engine optimization (SEO) demands precision and real-time data. As an exercise in automation and smart data enrichment, we’ve built a tool that combines Scrapy—an open-source web crawling framework—with ChatGPT to index websites and intelligently fill in the blanks.

Why This Project?

Manual site audits are time-consuming. This project explores how to automate the process of collecting and completing SEO data using structured scraping and GPT-powered enhancement.

How It Works

• Scrapy crawls a site, collecting page titles, meta descriptions, content, and structural tags like H1s.
• OpenAI’s GPT receives this data and generates missing descriptions, summaries, and even optimization tips.

Image credit: Pixabay

Sample Workflow

scrapy crawl site_indexer
python enrich_with_gpt.py

The crawler saves structured data as JSON. Then, our GPT script reads that data, feeds it into a prompt, and returns enriched metadata for SEO use.

Code Highlights

The crawler parses basic on-page elements. The enrichment script prompts GPT with instructions like “fill missing data” or “suggest a better meta description,” returning structured results.

Important Caveats

GPT is not perfect. It may fabricate information ("hallucinations"). Always verify AI-generated content manually. GPT should enhance—not replace—critical thinking and fact-checking.

Image credit: Pixabay

Conclusion

This prototype showcases how developers and SEO pros can automate content audits and elevate metadata creation. With proper validation, AI-assisted SEO can save time and provide actionable insights.

Want the full source code or setup files? Just ask!