Zapier filters let bad data through when types don't match
The cursor blinks in your Zapier editor at 11pm, three test runs in a row, each one promising to catch empty fields before they hit your CRM. Every test passes. Every real trigger fails.
Zapier filters pass data through when field types mismatch
Number fields meeting text conditions trigger silent failures that break your automation logic.
Zapier’s Filter step is supposed to stop a workflow when conditions aren’t met. But when you compare a number field against a text-based condition — say, checking if a Typeform score “contains” a word — the filter evaluates to true and passes the data through. No error message. No alert. The Zap just runs.
The failure happens because Zapier coerces types silently. A number field meeting a string operation doesn’t throw an error; it returns an unexpected boolean. If you’re filtering webhook payloads, form submissions, or API responses where field types vary by source, you’ve likely shipped bad data without knowing. The fix requires explicit type checks in a preceding Formatter step, or switching to Paths with multiple conditions that force type declarations. Testing alone won’t catch it — you need to send mismatched data intentionally to see the filter fail.
This affects every platform that sends structured data into Zapier: Typeform, Airtable, Webflow, Stripe, WooCommerce. If your filter logic assumes stable types and you haven’t tested edge cases where a number arrives as a string (or vice versa), you’re running on hope.
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