Choose what raw, parsed, and provenance artifacts to store for a maintainable scrape.
The repair problem A parser mistake is discovered after the crawl window closed. The site has already changed. Without raw capture or provenance, the team cannot know which rows are wrong or reprocess them. FAIR for scraped data Make data reusable by storing provenance, not just values. A reliable scrape stores enough metadata to find, audit, and reprocess data while respecting privacy and retention constraints. Shortcut Save only the final CSV. A dataset that can be trusted, explained, and repaired. Store enough to recover from parser mistakes, but not more sensitive data than the use case requires. 01 Purpose 02…
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