Design a tidy output before parsing
Translate scraped page content into a tidy, reusable output schema with provenance fields.
The move: define the row before you define the selector. Web pages are presentation surfaces. Scraped datasets need stable units. Tidy Data helps you choose those units: each variable gets its own column, each observation gets its own row, and different observation types belong in different tables. FAIR principles reinforce the same idea from a reuse angle: data needs metadata, identifiers, provenance, and shared structure to remain valuable. Name the observation If you scrape a category page with 40 products, the observation is probably a product offer, not the category page. If you scrape a job board, the observation is…
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