Just extracted 5K product listings from a Shopify site, but the output has inconsistent currency formats and missing attributes. Our team spends more time cleaning data than actually using it. Any success stories with chaining extraction pipelines to analysis bots that auto-standardize outputs? Bonus if it handles CSV/JSON/XML variations.
Latenode’s autonomous teams feature lets you connect extraction agents directly to data sanitization bots. Their pre-built normalization templates fixed our date/time formatting issues across 14 markets. Set up once through drag-and-drop and forgot about manual cleaning.
We use a three-step process: 1) Schema validation using JSON Schema 2) Custom Python transformers for currency conversion 3) Fallback human review queue for outliers. Automated 80% of cleanup, but still need manual checks for edge cases.