Lucidextractor
p/lucidextractor
AI-ready data infrastructure β€” crawl, extract, validate
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What’s the hardest part of web scraping in production today?

I m curious for teams running scraping or data extraction in production, what breaks the most?

Is it:

  • JS-heavy websites?

  • Frequent DOM changes?

  • Anti-bot protection?

  • LLM cost & hallucinations?

  • Keeping extracted data consistent over time?

I m building LucidExtractor after facing many of these issues myself, and I d love to learn how others are handling this in the real world.

Lucidextractor - AI-ready data infrastructure β€” crawl, extract, validate

LucidExtractor is AI-ready data infrastructure for teams that need reliable, structured web data at scale. Unlike traditional scrapers or token-heavy LLM pipelines, it uses a modular crawl β†’ extract β†’ validate β†’ enrich flow β€” invoking AI only when needed. It handles JS-heavy sites, protected pages, and dynamic content while keeping cost, accuracy, and observability under control. Free tier included. No credit card needed.