Flookup Data Wrangler

About Flookup Data Wrangler

Flookup Data Wrangler is a Google Sheets add-on for the unglamorous half of any data job: matching records that should be the same but are not spelled the same. Fuzzy matching is the core primitive, and it drives cleaning, deduplication, profiling, standardisation and enrichment against a sheet you already have rather than in a separate ETL environment you would have to learn. A Sheets AI assistant sits on top for the paid tier, alongside custom AI enrichment, scheduled functions, workflow templates and spreadsheet formulas that expose the cleaning operations to anyone who can write a formula. The commercial model is the part worth calling out, because it is genuinely different from everything it competes with: credits are bought once and never expire. There are no monthly resets, no countdown, no lapse if you go three months without a messy import — you refill when you run out, starting at $9. For a data-cleaning tool that is used in bursts around a migration or a quarterly reconciliation, that model fits the actual usage pattern far better than a subscription. The site also publishes three free browser-side utilities that never upload anything: a streaming CSV editor with a health report that handles very large files, a paste-two-lists fuzzy matching scorer and a keyed CSV diff with a match rate and downloadable output. The free Sheets tier is genuinely limited — three runs a day at 50 rows each — so it is an evaluation tier rather than a working one.

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