DokuPro guide: scraping web text into JSONL for fine-tuning

The guide is framed around a familiar pain point: public datasets rarely cover niche domains such as a specific area of Japanese law or a company's internal technical documents. Its answer is to collect that text from the web and reshape it into instruction/output pairs, which is the format fine-tuning workflows commonly expect. The code sample follows that logic step by step, stripping navigation, script, and footer elements before extracting paragraphs longer than 30 characters and writing each record with a source URL. Alongside the code, the guide spends most of its length on operational risks: terms-of-service review, robots.txt, request spacing, IP blocking, dynamic JavaScript content, brittle HTML selectors, authenticated sites, storage design, and personal-data regulation. That balance suggests the author sees scraping less as a one-off script and more as a maintained pipeline whose legal and ethical footing matters as much as its parsing logic.